The cost of vision loss in Canada
Severity definitions used in this report 2
Age related macular degeneration (AMD)
Refractive error (RE) and other causes of vision loss
Canadian self-reported survey data
Data from Canadian journal articles and research studies 32
Aboriginals and Visible Minorities (AVM) VL
VL caused by AMD, Glaucoma and RE in AVM
Diabetes and DR in the AVM population
Summary of VL in AVM populations 50
Health system expenditure, top down
Health system expenditure, bottom up
While every effort has been made to ensure the accuracy of this document, the uncertain nature of economic data, forecasting and analysis means that Access Economics Pty Limited is unable to make any warranties in relation to the information contained herein. Access Economics Pty Limited, its employees and agents disclaim liability for any loss or damage which may arise as a consequence of any person relying on the information contained in this document.
The cost of vision loss in Canada
Absenteeism from paid and unpaid work
Computer voice synthesizer software
Electronic Braille display systems
Sunglasses with non-corrective lenses
Other aids for the sight impaired
Summary of aids and devices 84
Measuring burden: DALYs, YLLs and YLDs
Willingness to pay and the value of a statistical life year
Years of life lost due to disability
Years of life due to premature death
Appendix B: Prevalence projections by age, gender and disease ............................... 100
The cost of vision loss in Canada
Figure 1-1: Vision problems among Canadian seniors (% of age group)
Figure 1-2: Prevalence of AMD by age and gender in whites (% population)
Figure 1-3: Prevalence of cataract by age and gender in whites (% population)
Figure 1-4: Rates of cataract surgery by age
Figure 1-5: Prevalence of DR by age and gender in whites (% population)
Figure 1-6: Prevalence of glaucoma by age and gender in whites(% population)
Figure 1-7: Prevalence of myopia by age and gender in whites (% population)
Figure 1-8: Prevalence of hyperopia by age and gender in whites (% population)
Figure 1-9: Prevalence of hyperopia across countries by age, gender and source study
Figure 1-10: Prevalence of myopia across countries by age, gender and source study
Figure 2-1: Prevalence and incidence approaches to cost measurement
Figure 22: Canadian population by age (’000 people), 2006 and 2031
Figure 2-3: White and AVM populations, 2006-2032 (% total)
Figure 2-4: Aboriginals and Visible Minorities, 1981-2017, selected years (% population)
Figure 2-5: Age distribution of non-white males (% population), 2001
Figure 2-6: Age distribution of non-white females (% population), 2001
Figure 27: Ethnic composition of Canadian population compared to Australia’s
Figure 2-8: Prevalence of seeing disabilities by age and gender (2001)
Figure 2-9: Uncorrected VL, by ethnicity, age and gender (% population)
Figure 2-10: Under corrected VL from myopia, by ethnicity, age and gender (% population)
Figure 2-11: Under corrected VL from hyperopia, by ethnicity, age and gender (% population)
Figure 2-13: Cataract prevalence, by ethnicity, age and gender (% population)
Figure 2-14: Glaucoma, by ethnicity, age and gender (% population)
Figure 2-15: Causes of VL in Prince George, Canada
Figure 2-16: Myopia in Chinese children in Canada and Hong Kong
Figure 2-17: Causes of blindness by ethnicity (US)
Figure 2-18: Probability of developing VL after contracting selected diseases, by ethnicity
Figure 2-19: Prevalence rates of VL, by ethnicity and cause, 2007
Figure 2-20: Prevalence of VL, by cause, 2007-2032
Figure 2-21: Prevalence of VL by gender, 2007 to 2032
The cost of vision loss in Canada
Figure 2-22: Projections of VL, by ethnicity, 2007 to 2032
Figure 2-23: Relative share of total VL, by ethnicity, 2007 to 2032
Figure 3-1: Canadian health system expenditure, 2007 (% of total)
Figure 3-2: Expenditure on vision care, Canada, 1975-2007
Figure 4-2: Comparison of assistance with activities of daily living between study groups
Figure 5-1: Loss of wellbeing due to VL (DALYs), by age and gender, 2007
Figure 6-1: Financial costs of VL, by type of cost (% total)
Figure 6-2: Financial costs of VL, by bearer (% total)
–1: Canadian population projections, males (‘000), 2006-2031, selected years
Table 2 –2: Canadian population projections, females (‘000), 2006-2031, selected years 18
Table 2 –3: Ethnic composition of Canadian population (% total), 2001 19
Table 2 –4: Prevalence of diabetes, by age and gender, 2005 (%)
Table 2 –5: CCHS prevalence of eye diseases in AVM
Table 2 –6: Causes of blindness in CNIB clients (2007)
Table 2 –7: Prevalence of POAG among the Eskimo (%)
Table 2 –8: Prevalence of diabetes among Canadian Aboriginal peoples (1991)
Table 2 –9: Prevalence of blindness by cause, 2006 to 2031 (% population)
Table 2 –10: causes of VL, by disease, in white populations
Table 2 –11: Prevalence of VL due to AMD, by severity (% of age group)
Table 2 –12: Prevalence rates for VL from cataracts, by age and severity (%)
Table 2 –14: Proportion of people with glaucoma by age and severity (%)
Table 2 –15: Prevalence rates for VL from RE, by age and severity (%)
–16: Estimated VL prevalence in Canadian whites by disease and age
Table 2 –17: Prevalence of VL in US whites with cataracts (2000)
Table 2 –18: Prevalence of VL in US blacks with cataracts (2000)
Table 2 –19: Prevalence of VL in US Hispanics with cataracts (2000)
Table 2 –20: Prevalence of VL in US ‘Other’ with cataracts (2000)
Table 2 –21: Relative risk of developing VL from cataracts, by race
Table 2 –22: Prevalence of VL in whites with cataract, by age
Table 2 –23: Prevalence of VL in non- whites with cataract, by age
Table 2 –24: Prevalence of cataract-induced VL in Canadian AVM, by age
The cost of vision loss in Canada
Table 2 –25: Prevalence of eye diseases by ethnicity, US, 2000 44
Table 2 –26: Causes of VL by ethnicity
Table 2 –27: Prevalence of VL, by ethnicity and cause, US, 2000
Table 2 –28: Prevalence (%) of VL within specified diseases, by ethnicity
Table 2 –29: Relative risk of VL by eye disease, non-whites to whites
Table 2 –30: Prevalence of eye diseases in whites
Table 2 –31: Fraction of whites with each eye disease who have VL, by age and gender
Table 2 –32: prevalence of VL within disease groups, non-whites
Table 2 –33: Prevalence of VL in AVM
Table 2 –34: Under corrected VL in AVM
Table 2 –35: Prevalence of VL from DR within diabetic AVM groups
Table 2 –36: Prevalence of diabetes in AVM population, 2005 (%)
Table 2 –37: Estimated prevalence of DR-induced VL in AVM
Table 2 –38: Prevalence of VL in AVM by age, gender and disease
Table 2 –39: Prevalence of VL, by cause and ethnicity, 2007
Table 2 –40: All vision loss, by age, gender and ethnicity, 2007
Table 2 –41: Cataract vision loss, by age, gender and ethnicity, 2007
Table 2 –42: DR vision loss, by age, gender and ethnicity, 2007
Table 2 –43: Glaucoma vision loss, by age, gender and ethnicity, 2007
Table 2 –44: AMD vision loss, by age, gender and ethnicity, 2007
Table 2 –45: RE/Other vision loss, by age, gender and ethnicity, 2007
Table 3 –1: Total expenditure on certain eye procedures, 2004-05
–2: Drug expenditure on nervous system and sense organ disorders, 1998
Table 3 –3: Expenditure on nervous system and sense organ disorders (1998)
Table 3 –4: Frequency of selected hospital procedures (2001)
Table 3 –5: Rebates for certain ophthalmological procedures in Ontario (2006)
Table 3 –6: Average treatment costs for neovascular AMD (2005)
Table 3 –7: Estimated VL health system expenditure (top down), 2007
Table 4 –1: Estimated AWE, by age and gender, 2007
Table 4 –2: percentage of population employed, by age and gender
Table 4 –3: Provincial sales taxes
Table 4 –4: Income sources (CNIB)
Table 4 –5: VL-related social security payments and beneficiaries
Table 4 –8: Canes/accessories for the blind (2000-01$)
Table 4 –9: Writing and stationery items (2000-01$)
Table 4 –6: Excess usage of social security payments 75
Table 4 –7: Annual direct AMD non-medical related utilisation costs per person (2005$) 77
Table 4 –10: Talking time pieces (2000-01$)
The cost of vision loss in Canada
Table 4 –11: Sunglasses with non-corrective lenses (2000-01$)
Table 4 –12: Hand held magnifiers (2000-01$)
Table 4 –13: Other stationery (2000-01$)
Table 4 –14: Large button telephones (2000-01$)
Table 4 –15: Summary of aids and devices (2000-01$)
Table 4 –16: Estimates of additional aids and devices
Table 4 –17: Summary of other financial costs of VL, 2007
Table 5 –1: Value of a statistical life in Canadian studies ($ million)
Table 5 –2: Estimated years of healthy life lost due to disability (YLD), 2007 (DALYs)
Table 5 –3: Years of life lost due to premature death (YLL) due to VL, 2007
Table 5 –4: Net cost of lost wellbeing, $million, 2007
Table 6 –1: VL, total costs by type of cost and bearer, 2007
The cost of vision loss in Canada
AMD
AVM
AWE
BMES
CACS
CCHS
CCTV
CERA
CIHI
CNIB
COS
DALY
DR
DWL
EDPRG
GST
HST
ICES
MVIP
NGS
NHEX
NPHS
PALS
POAG
PST
RE
UK
US
UV
VL
VSL(Y) age related macular degeneration
Aboriginal and Visible Minorities
Average Weekly Earnings
Blue Mountains Eye Study
Comprehensive Ambulatory Classification System
Canadian Community Health Survey closed circuit television
Centre for Eye Research Australia
Canadian Institute for Health Information
CNIB
Canadian Ophthalmological Society
Disability Adjusted Life Year diabetic retinopathy deadweight loss
Eye Disease Prevalence Research Group
Goods and Services Tax
Harmonized Sales Tax
Institute for Clinical Evaluative Sciences
Melbourne Visual Impairment Project
National Grouping System
National Health Expenditure database
National Population Health Survey
Participation and Activity Limitation Survey
Primary Open Angle Glaucoma
Provincial Sales Taxes refractive error
United Kingdom
United States ultraviolet vision loss
Value of a Statistical Life (Year) i
The cost of vision loss in Canada
This report estimates the cost of vision loss (VL) in Canada, utilising a prevalence-based approach. Direct health system expenditures on visually impairing eye conditions are included, as well as other financial costs (such as productivity losses) and the value of the loss of healthy life (measured in Disability Adjusted Life Years or DALYs).
Prevalence of vision loss
A variety of data sources were used to construct a model of Canadian VL by age, gender, ethnicity, severity and type. In 2007, there were an estimated 816,951 Canadians with
VL .
Of this total, 780,534 (95.5%) were white and 36,416 (4.5%) were Aboriginals and
Visible Minorities (AVM).
‘Refractive Error and Other’ is the main source of VL for the white population (68.1% of the total), and cataract is the main cause of VL in AVM (36.1% of the total) 1 .
For whites, the second largest source of VL is cataract (15.5%) and, for the AVM population, DR is the second largest source (24.4% of the total).
AVM have lower prevalence of VL for all diseases other than DR, largely due to lower prevalence of eye diseases at equivalent ages to whites, a younger age profile, and less likelihood of developing VL once they have contracted a given eye disease.
P REVALENCE OF VL, BY CAUSE AND ETHNICITY , 2007
All ethnicities White AVM
Number % total Number % total Number % total
AMD 89,241 10.9% 84,641 10.8%
Cataract 133,836 16.4% 120,685 15.5%
DR 29,920 3.7% 20,992 2.7%
Glaucoma 24,937 3.1% 22,565 2.9%
RE/Other 539,236 66.0% 531,650 68.1%
4,380 12.0%
13,151 36.1%
8,928 24.5%
2,373 6.5%
7,586 20.8%
All VL 817,171 100.0% 780,534 100.0% 36,417 100.0% ii
1 ‘Other’ represents minor diseases – ie, not the ‘big five’ of cataract, diabetic retinopathy (DR), age-related macular degeneration (AMD), glaucoma, or refractive error (RE)
. ‘Other’ diseases have not been the subject of population eye health studies.
The cost of vision loss in Canada
P REVALENCE RATES OF VL, BY CAUSE AND ETHNICITY , 2007
3.5%
3.0%
2.5%
White AVM
3.0%
2.5%
1.6%
2.0%
2.0%
1.5%
4.5%
4.0%
3.5%
3.0%
2.5%
2.0%
1.5%
1.0%
0.5%
0.0%
1.0%
0.5%
0.0%
0.3%
0.3%
0.4%
0.1%
0.5% 0.1%
0.2% 0.1%
0.1%
0.1%
0.0%
AMD Cataract
0.1%
DR Glaucoma RE/Other All VI
0.6%
The prevalence of VL is projected to almost double in absolute numbers, and increase from
2.5% of the population in 2007 to 4.0% in 2032.
VL affects women more than men, reflecting greater longevity in females. In 2007, females accounted for 58.4% of VL; by 2032, this will have fallen slightly to 56.3%.
Despite the fact that the AVM share of the total population is rapidly increasing, the increase in this group’s share of VL at the end of the projection period is less than commensurate, partly due to AVM having a considerably younger age profile than the white population with no substantial aging over the forecast period.
P REVALENCE OF VL, BY CAUSE , 2007-2032
All VI
Glaucoma
Cataracts
AMD
DR
RE/Other iii
iv
The cost of vision loss in Canada
Costs
In 2007, the financial cost of VL was $15.8 billion . Of this:
$8.6 billion (54.6%) was direct health system expenditure;
$4.4 billion (28.0%) was productivity lost due to lower employment, absenteeism and premature death of Canadians with VL;
$1.8 billion (11.1%) was the DWL from transfers including welfare payments and taxation forgone;
$0.7 billion (4.4%) was the value of the care for people with VL; and
$305 million (1.9%) was other indirect costs such as aids and home modifications and the bring-forward of funeral costs.
Additionally, the value of the lost wellbeing (disability and premature death) was a further $11.7 billion .
Burden of disease
Health system costs
Productivity costs
Carer costs
Other Indirect costs
Deadweight losses
Transfers
Total financial costs
Total costs including burden of disease
Burden of disease
Health system costs
Productivity costs
Carer costs
Other Indirect costs
Deadweight losses
Transfers
Total financial costs
Total costs including burden of disease
VL, TOTAL COSTS BY TYPE OF COST AND BEARER , 2007
Individuals
11,710
1,499
2,847
0
61
0
-917
3,490
Family/
Friends
0
413
62
0
0
0
0
474
Federal
Government
Provincial
Governments
Total cost ($ million)
0
388
886
218
0
0
917
2,409
0
5,670
619
0
61
0
0
6,350
Employers
80
0
61
0
0
0
0
141
15,200 141
14,334
1,835
3,485
0
74
0
-1,122
4,272
18,606
474 2,409 6,350
Cost per person with visual impairment ($)
0
0
0
505
76
0
0
581
0
475
1,084
267
0
0
1,122
2,948
0
6,941
757
0
74
0
0
7,773
581 2,948 7,773
0
0
98
0
74
0
0
172
172
Society/
Other
0
1,081
0
62
61
1,757
0
2,960
2,960
0
1,323
0
76
74
2,151
0
3,624
3,624
Total
11,710.4
8,637.9
4,431.4
692.8
304.9
1,757.0
0
15,824
27,534
14,334
10,573
5,424
848
373
2,151
0
19,370
33,704
In per capita terms, this amounts to a financial cost of $19,370 per person with VL per annum. Including the value of lost wellbeing, the cost is $33,704 per person per annum.
The cost of vision loss in Canada
F INANCIAL COSTS OF VL, BY TYPE OF COST (% TOTAL )
Indirect Costs
1.9%
Carer Costs
4.4%
DWL
11.1%
Productivity Costs
28.0%
Health System Costs
54.6%
Individuals with VL bear 22.1% of the financial costs, and their families and friends bear a further 3.0%. Federal government bears 15.2% of the financial costs (mainly through taxation revenues forgone and welfare payments). Provincial governments bear 40.1% of the costs, reflecting the nature of Canada’s Federal system, while employers bear 0.9% and the rest of society bears the remaining 18.7%.
If the burden of disease (lost wellbeing) is included, individuals bear 55.2% of the costs and
Provincial governments bear 23.1% while the Federal government bears a lesser 8.7%, with family and friends 1.7%, employers 0.5% and others in society 10.8%.
F INANCIAL COSTS OF VL, BY BEARER (% TOTAL )
Society/Other
18.7%
Individuals
22.1%
Employers
0.9%
Family/Friends
3.0%
Federal Government
15.2%
Provincial
Governments
40.1% v
The cost of vision loss in Canada
Finally, an important finding from this analysis was the observation that, for an advanced
Western nation, Canada has a serious deficienc y in eye health data. CNIB’s Health
Economic Statement ( http://www.costofblindness.org/media/health-state.asp
) observes that, with respect to blindness and vision loss, there is ‘strong argument for saying that
Canada has the worst record of supporting research of all the G8 countries ’. The importance of good eye health to Canadians is shown from survey data in the same document revealing that two-thirds of Canadians would cash in all their savings or sell everything they owned to save their eyesight. With a rapidly aging population, it is high time for a Canadian population eye health study to monitor incidence, prevalence and morbidity outcomes and economic impacts more robustly in the future.
Access Economics
12 December 2008 vi
The cost of vision loss in Canada
1.
This report estimates the cost of vision loss (VL) in Canada, utilising a prevalence-based approach. Direct health system expenditures on visually impairing eye conditions are included, as well as other financial costs (such as productivity losses) and the value of the loss of healthy life (measured in Disability Adjusted Life Years or DALYs).
1.1
Statistics Canada (2004a) reported that the majority (51%) of Canadians had some form of
‘vision problem’ in 2003, while Statistics Canada (2001) found that that 2.5% had a ‘visual disability’. A ‘vision problem’ is not considered a visual disability if it can be corrected
(eg, with glasses or contact lenses for refractive error - RE). Figure 1-1 shows the
differences between the two categories within age and gender cohorts for Canadian seniors
(people aged 65 years or older), where prevalence is understandably higher (70%-90%).
F IGURE 1-1: V ISION PROBLEMS AMONG C ANADIAN SENIORS (% OF AGE GROUP )
50%
40%
30%
20%
10%
0%
100%
90%
80%
70%
60%
Male, uncorrected
Male, corrected
Female, uncorrected
Female, corrected
Y e a rs o f a ge
Source: Statistics Canada (2004a).
In this report, the term ‘vision loss’ rather than ‘visual disability’ will be used.
Vision loss is broadly defined as a limitation in one or more functions of the eye or visual system, most commonly impairment of visual acuity (sharpness or clarity of vision), visual fields (the ability to detect objects to either side or above or below the direction in which the person is looking) and colour vision.
1
2
The cost of vision loss in Canada
Normal vision is recorded as 20/20 in the Imperial system used in Canada (6/6 in metric), which means that a person can see at 20 feet (6 meters) what a person with normal vision can see at 20 feet. Degrees of VL are measured similarly, where the first number in the measure is the furthermost distance at which the person can clearly see an object and the second number is the distance at which a person with normal vision could see the same object. For example, 20/40 vision means that the person can clearly see at 20 feet (but not more) an object that a person with unimpaired vision could see at 40 feet (but not more).
The Blind Persons Regulations, Consolidated Regulations of Canada 1978 (Chapter 371A) 2 states that ‘a person shall be considered legally blind whose central acuity does not exceed
20/200 in the better eye with correcting lenses’. This means that if a person with their glasses on can see the big 'E' on a Snellen eye chart, but none of the other optotypes, for legal purposes they are considered blind and are eligible for certain government tax credits as well as concessions from some retailers and other service providers. The Canadian definition of legal blindness also includes ‘or a visual field extent of less than 20 degrees in diameter horizontally’.
1.1.1 B ETTER EYE , WORSE EYE
VL can differ from one eye to the other (asymmetrical vision loss). As a result of this, prevalence rates can be reported for either the better or the worse eye in terms of the extent of vision loss. Asymmetrical vision loss, however, has little impact on function or disability, and indeed, it is often only when vision loss becomes bilateral that it is identified and treated.
When reporting prevalence rates, better eye measures would provide conservative estimates, while worse eye measures may tend to overstate costs and impairment.
In this study, the conservative approach has thus been to report VL prevalence for the better eye.
1.1.2
EVERITY DEFINITIONS USED IN THIS REPORT
Best corrected visual acuity (BCVA) is defined as the best possible vision a person can achieve with corrective lenses measured in terms of Snellen lines on an eye chart.
Common definitions for visual acuity used in Canada (Jutai et al, 2006), and in this report are as follows.
Blindness is defined as BCVA of 20/200 or worse ( ≤6/60) in the better-seeing eye.
Vision loss is defined as BCVA less than 20/40 (<6/12) in the better-seeing eye. It thus comprises blindness and low vision.
Low vision is defined as VL that is not blindness, and is categorized as:
mild VL – BCVA worse than 20/40 (<6/12) but better than or equal to 20/60
(6/18) in the better-seeing eye; and
moderate VL – BCVA worse than 20/60 (<6/18) but better than or equal to
20/200 (6/60) in the better-seeing eye.
2 http://www.amdcanada.com/template.php?section=4&lang=eng&subSec=3d&content=4_3 (accessed 28 March
2008)
1.2
The cost of vision loss in Canada
1.2.1
GE RELATED MACULAR DEGENERATION
AMD is an incurable eye disease and a leading cause of blindness in elderly people. The macula is the part of the retina that enables central vision and the seeing of fine detail.
Damage to the macula is characterized by a ‘black spot’ – losing the centre of the picture. In
‘early AMD,’ small yellow deposits called drusen form under the macula. Vision is usually lost with more advanced stages of AMD. There are two types of ‘late AMD’.
Dry (geographic/atrophic): In around one third of cases of late AMD, the macula thins. Vision loss is directly related to the location and amount of retinal thinning, but the progress of dry AMD is slower than that of the ‘wet’ type. There is no known treatment or cure for the ‘dry’ type of AMD.
Wet (exudative/neovascular): Two thirds of those with late AMD have this type.
Abnormal blood vessels grow under the retina and macula; these vessels bleed and leak fluid, causing the macula to bulge or lift up. Vision loss may be rapid and severe.
Thermal laser surgery may be used in the early stages and may prevent severe eye damage for some patients. Photodynamic laser therapy with verteporfin provides an improvement over thermal laser treatment, but does not preclude recurrence, so that at best it slows the rate of vision loss.
Causes of AMD are not well understood, but may include age and a genetic component, with family history increasing the risk of AMD three to four times. People who smoke are twice as likely to develop AMD. People who have a family history of AMD and smoke are up to 144 times more likely to develop the disease. In summary, in most cases there is no effective prevention of or treatment for AMD. Because AMD is painless, usually progresses slowly and generally occurs in one eye first, it may be difficult to self-detect AMD early (Access
Economics, 2006).
Current treatments for AMD, such as photodynamic therapy, are limited both in terms of their ability to retard progression of disease and thus loss of vision, as well as only being effective for a proportion of people with neovascular AMD. However, emerging therapies have the potential to enhance the efficacy and coverage of treatment options for people with AMD.
Anti-angiogenesis is a treatment that aims to block the process of angiogenesis in neovascular AMD. Theoretically this will retard progression of neovascular AMD and reduce its recurrence. Anti-angiogenesis treatments include: o Pegaptanib (Macugen). This requires six weekly injections in the affected eye over a period of at least two years. Pegaptanib has been shown to retard the progression of wet AMD. o Ranibizumab (Lucentis) is new treatment, shown to be effective in both retarding the progression of wet AMD and restoring some vision to a significant number of patients. o Bevacizumab (Avastin) has been fairly widely used
‘off label’ for AMD, although it is not indicated for this condition. As yet, no extensive head to head clinical trials have been conducted comparing bevacizumab and ranibizumab with respect to both safety and efficacy.
Figure 1-2 shows the prevalence of AMD by gender among whites, based on an international
meta-analysis of these ethnicities by the Eye Disease Prevalence Research Group – EDPRG
(Congdon et al, 2004a). Details of the source studies used by the EDPRG are provided in
3
4
12%
10%
8%
6%
4%
2%
0%
The cost of vision loss in Canada
Appendix A, and include studies from the United States (US), West Indies, Australia and the
Netherlands.
14%
F IGURE 1-2: P REVALENCE OF AMD BY AGE AND GENDER IN WHITES (% POPULATION )
White Female
White Male
Years of age
Note: See Appendix A for underlying data.
Source: Congdon et al (2004a) and Access Economics (2006).
1.2.2
ATARACT
A cataract is a cloudy area in the eye's lens that forms when proteins clump together. Over time, the cataract may grow larger and cloud more of the lens, making it hard to see. The most common symptoms are blurry vision, problems with light, ‘faded’ colours, double or multiple vision and the need for frequent changes in glasses or contact lenses.
The four main types of cataract are age related (most common), congenital, secondary
(eg, due to diabetes or steroid use) and traumatic (eg, due to eye injury). Causes of cataract are still uncertain, although age, smoking, diabetes and ultraviolet (UV) exposure have been shown to increase risk. Detection is through an eye examination including a visual acuity test (eye chart test) and pupil dilation (where the pupil is widened with eye drops to allow the eye care professional to see more of the lens and look for other eye problems).
Cataract surgery may be indicated to improve vision, with the cloudy lens removed and replaced with a substitute lens. Surgery is safe and very effective, with almost all people having better vision and improved quality of life afterward, and only a small percentage experiencing complications such as infection, bleeding or inflammation. Cataract surgery is generally performed as same-day surgery without general aesthetic, with a six week total recovery period.
The cost of vision loss in Canada
Figure 1-3 shows the prevalence of cataract by age, gender and ethnicity.
F IGURE 1-3: P REVALENCE OF CATARACT BY AGE AND GENDER IN WHITES (% POPULATION )
50%
40%
30%
20%
10%
0%
80%
70%
60%
White Female
White Male
Years of age
Note: See Appendix A for underlying data.
Source: Congdon et al (2004a) and Access Economics (2006).
5
The cost of vision loss in Canada
Taylor (2001) shows that, in Australia, rates of cataract surgery double with each decade of
life. Figure 1-4 shows rate of cataract by age group. While younger people have lower rates
of cataract surgery than older cohorts, because there are fewer people in the oldest cohorts 3 , the average age of cataract surgery in Canada is 74 years 4 .
Conversely, while surgery rates increase in older cohorts, prevalence of cataract increases faster still, leading to higher rates of VL in the oldest of the old.
F IGURE 1-4: R ATES OF CATARACT SURGERY BY AGE
Source: Taylor (2001).
1.2.3
IABETIC RETINOPATHY
Diabetic retinopathy (DR) is a complication of diabetes mellitus, usually affecting both eyes, wherein microaneurysms develop on the tiny blood vessels inside the retina. As the disease progresses, some blood vessels that nourish the retina are blocked, causing vision loss through either proliferative retinopathy or macular edema.
6
Left : Normal vision. Right : The same scene as it might be viewed by a person with DR.
DR often has no early symptoms. Sometimes the person sees specks of blood, or spots,
‘floating’ in their vision. Diagnosis can be made via a visual acuity test (eye chart test), dilated eye examination, retinal photography and/or fluorescein angiogram. Macular edema
3 There are over ten times as many Canadian septuagenarians as nonagenarians.
4 Canadian Ophthalmological Society, correspondence of 11 April 2008.
The cost of vision loss in Canada is treated with focal laser surgery, which stabilizes vision and reduces the risk of vision loss by 50%.
Proliferative retinopathy is treated with scatter laser surgery that, while it can worsen peripheral, colour and/or night vision, can save the rest of a person’s sight. If bleeding is severe and persistent, a vitrectomy may be necessary, where blood and gel are removed from the centre of the eye and replaced with a salt solution, under local or general anesthetic.
Although both laser treatment and vitrectomy can effectively reduce vision loss they do not cure DR, and the patient remains at risk for new bleeding. Multiple treatments may be necessary.
To prevent the onset and progression of DR (and the need for surgery), people with diabetes should control their levels of blood sugar, blood pressure and blood cholesterol. Early diagnosis and treatment can prevent almost all severe vision loss. The earlier treatment is
received, the more likely it is to be effective. Prevalence is shown in Figure 1-5.
7
The cost of vision loss in Canada
F IGURE 1-5: P REVALENCE OF DR BY AGE AND GENDER IN WHITES (% POPULATION )
8%
7%
6%
5%
4%
3%
2%
1%
0%
White Female
White Male
Years of age
Note: See Appendix A for underlying data.
Source: Congdon et al (2004a) and Access Economics (2006).
1.2.4
LAUCOMA
Glaucoma is a group of diseases that, while initially asymptomatic, can damage the eye's optic nerve and result in blindness. The optic nerve comprises nerve fibers that connect the retina with the brain. In the front of the eye is a space called the anterior chamber – clear fluid flows in and out of this space, leaving the chamber at the angle where the cornea and iris meet. When the fluid reaches the angle, it flows through a spongy meshwork, like a drain, and leaves the eye.
Primary open-angle glaucoma (POAG), the most common type, occurs when, for unknown reasons, the fluid passes too slowly through the meshwork drain. As the fluid builds up, the pressure inside the eye rises. Unless the pressure at the front of the eye is controlled, it can damage the optic nerve and cause vision loss. Although people can see objects clearly in front of them, they miss things to the side and out of the corner of their eye. Peripheral vision may deteriorate without treatment, like looking through a tunnel, until there is no vision left.
8
Left : Normal vision. Right : The same scene as it might be viewed by a person with glaucoma.
The cost of vision loss in Canada
Other less common types of glaucoma include:
Closed-angle glaucoma , in which the fluid at the front of the eye is blocked from reaching the angle, resulting in a sudden increase in pressure, pain, redness and blurred vision. Immediate (medical emergency) laser surgery is required to clear the blockage and protect sight.
Congenital glaucoma , occurring in children born with defects in the angle of the eye that slow fluid drainage, causing cloudy eyes, sensitivity to light and excessive tearing.
Prompt surgery provides an excellent chance of saving vision.
Secondary glaucoma , which develops as a complication of other medical conditions, such as surgery, advanced cataract, eye injuries, certain eye tumours, uveitis (eye inflammation), diabetes or the use of corticosteroid drugs. Treatment includes medicines and laser or conventional surgery.
Increased risk for glaucoma occurs with age, family history and ethnicity. Glaucoma is detected through an eye examination including visual acuity, visual field, tonometry and optic nerve examination.
Although there is no cure for glaucoma, early diagnosis and treatment may help protect eyes against serious vision loss and blindness. Treatments include:
Eye drops (very common) – eye drops taken several times a day can lower pressure by helping fluid drain from the eye or causing the eye to make less fluid. Rare side effects include headaches or eye irritation.
Laser surgery (‘laser trabeculoplasty’) – helps fluid drain from the eye by burning holes in the meshwork with a high-energy light beam. The effects of laser surgery wear off so that, after two years, the pressure increases again in more than half of all patients. Repeating laser surgery is often not useful.
Conventional surgery – can make a new opening for the fluid to leave the eye. Such surgeries are often performed after eye drops and laser surgery have failed to control pressure. Surgery is around 80-90% effective at lowering pressure. However, if the new drainage opening closes, a second operation may be needed. Conventional surgery works best in the absence of other previous eye surgery.
Possible side effects of glaucoma surgery include cataract, inflammation or infection inside the eye, and swelling of blood vessels behind the eye
– all of which are treatable. In some cases, vision may worsen after surgery.
9
10
The cost of vision loss in Canada
F IGURE 1-6: P REVALENCE OF GLAUCOMA BY AGE AND GENDER IN WHITES (% POPULATION )
5%
4%
3%
2%
1%
0%
8%
7%
6%
White Female
White Male
Years of age
Note: See Appendix A for underlying data.
Source: Congdon et al (2004a) and Access Economics (2006).
1.2.5
EFRACTIVE ERROR
AND OTHER CAUSES OF VISION LOSS
A large part of remaining vision loss is caused by RE. Less common conditions such as neuro-ophthalmic disorders, retinitis pigmentosa and other retinal conditions account for the remaining prevalence of VL and blindness.
As noted above, RE is the most frequent yet most easily correctible source of eye problems in Canada, occurring when optical defects result in light not focusing properly on the retina.
Myopia (near-sightedness with blurry distant vision) and hyperopia (farsightedness with close objects blurry) are the most well-known RE. Most infants have some degree of hyperopia, although vision usually normalizes by six years of age. Most myopia occurs later during adolescence. The extent of RE is measured in diopters . Other common forms of REs include astigmatism (uneven focus) and presbyopia (age related problem with near focus).
Myopia is a very common disorder. Prevalence is greater in women through age 60, after which rates become more comparable between genders. Myopia affects more whites than other races, and is generally less frequent with age, Hyperopia is less common, but prevalence generally increases with age. It is also most frequent in Whites. Prevent
Blindness America (2002:12)
Almost all RE can be corrected by eyeglasses or contact lenses. Refractive surgery is another alternative treatment, but one not without risk.
Figure 1-7 and Figure 1-8 highlight that RE is less common in males than females. Myopia
tends to decrease with age, whereas hyperopia increases. (Older black males have
The cost of vision loss in Canada significantly less of either condition than other groups – hyperopia is over 18 times more prevalent in older white females than equally aged black males.)
15%
10%
5%
0%
35%
30%
25%
20%
F IGURE 1-7: P REVALENCE OF MYOPIA BY AGE AND GENDER IN WHITES (% POPULATION )
50%
45%
40%
White Female
White Male
Years of age
Note: See Appendix A for underlying data.
Source: Congdon et al (2004a) and Access Economics (2006). Note: Myopia = (-1.00 diopters or worse).
F IGURE 1-8: P REVALENCE OF HYPEROPIA BY AGE AND GENDER IN WHITES (% POPULATION )
30%
25%
20%
White Female
White Male
15%
10%
5%
0%
Years of age
Note: See Appendix A for underlying data.
Source: Congdon et al (2004a) and Access Economics (2006). Note: Hyperopia = (+3.00 diopters or worse).
11
The cost of vision loss in Canada
RE is the most common source of VL in Western countries; Figure 1-9 and Figure 1-10 show that population-based eyes studies demonstrate little variance in the prevalence of hyperopia and myopia in white populations across countries with similar cultures and income levels.
12
The cost of vision loss in Canada
F IGURE 1-9: P REVALENCE OF HYPEROPIA ACROSS COUNTRIES BY AGE , GENDER AND SOURCE STUDY (% POPULATION )
Prevalence of hyperopia of +3 diopters or greater in white persons (A) and black and Hispanic persons (B). BES= Baltimore Eye Study; BDES=Beaver Dame Eye Study;
BMES=Blue Mountains Eye Study; RS=Rotterdam Study; Melbourne VIP = Melbourne Visual Impairment Project; Proyecto VER=Vision Evaluation and Research.
Source: Congdon et al (2004b).
13
The cost of vision loss in Canada
F IGURE 1-10: P REVALENCE OF MYOPIA ACROSS COUNTRIES BY AGE , GENDER AND SOURCE STUDY (% POPULATION )
14
Prevalence of myopia of -1 diopter or less in white persons (A) and black and Hispanic persons (B). BES= Baltimore Eye Study; BDES=Beaver Dame Eye Study; BMES=Blue
Mountains Eye Study; RS=Rotterdam Study; Melbourne VIP = Melbourne Visual Impairment Project; Proyecto VER=Vision Evaluation and Research.
Source: Congdon et al (2004b).
The cost of vision loss in Canada
2.
Prevalence approaches to cost estimation, for a given health condition, measure the number of people with that given condition (in this case VL) in a base period (in this case calendar year 2007) and the costs associated with treating them, as well as other financial and nonfinancial costs (productivity losses, carer burden, loss of quality of life) in that year, due to the condition. This report adopts a prevalence approach to cost measurement rather than an incidence approach, as the data sources lend themselves to utilization of such an approach, and for consistency with other studies of the cost of VL (eg, in Australia, Japan and the US).
Figure 2-1 depicts the difference between a prevalence approach (areas A+B+C in Figure
person A, who first experienced VL and its impacts in 1990 and continued to experience them until death in 2005. This person would be included in a prevalence approach (but not in an incidence approach), although only the costs incurred in 2005 would be included (ie, A but not A*, where A includes the present value of premature mortality costs if the death was premature). Person B developed VL during the late 1990s and experiences impairment and its impacts through to 2008 (with costs of B+B*+B**, shaded in blue); she also would be counted (but only costs of B) using a prevalence approach, but not using an incidence approach. Person C (shaded in red) is newly diagnosed with VL in 2005 and his costs in
2005 (C) would be included in a prevalence approach but not future costs (C*).
F IGURE 2-1: P REVALENCE AND INCIDENCE APPROACHES TO COST MEASUREMENT
1990 2006 2010
To estimate the number of cases of VL in the population, epidemiological data on prevalence rates are applied to population data. Ideally for projections, the number of cases of VL should be stratified by gender, age, ethnicity, severity (mild and moderate VL and blindness) and cause (A MD, cataract, DR, glaucoma, RE and ‘other’). A first step is thus to assimilate population data by gender, age and ethnicity, for 2007 and subsequent years (next section).
2.1
2.1.1
GE
GENDER AND GROWTH
Statistics Canada (2006) reports that Canada has the second youngest population in the
G8 5 . In 2006, around one in seven Canadians (13.7%) 6 was aged 65 years or older and
Statistics Canada (2006) projects that by 2031 these ‘senior citizens’ will account for around
5 The Group of Eight represents the world’s largest industrialised economies: US, UK, Russia, France, Germany,
Italy, Japan and Canada.
6 Statistics Canada 2006 Census Online, www.statcan.ca (Cat, No, 97-551-XCB2006005).
15
2,000
1,500
1,000
500
0
The cost of vision loss in Canada
one quarter of the population (Figure 2-2)
7 . Thus, as many eye diseases are age related, the overall prevalence of VL will increase over the medium term.
These projections were compiled using data from the 2001 Census. Although 2006
Census data have recently become available for that year, population projections by five year age-gender cohorts are not yet provided by Statistics Canada from the 2006
Census. Accordingly, this report uses Statistics Canada’s existing projections
8 .
F IGURE 2-2: C ANADIAN POPULATION BY AGE
(’000
PEOPLE ), 2006 AND 2031
3,000
2006
2031
2,500
Age group (years)
Source: Statistics Canada (2006).
16
7 Statistics Canada (2006) makes projections for the entire Canadian population out to 2031, with special data requests available out to 2056. Projections presented here are from the medium growth, medium immigration scenario (scenario 3).
8 This also enables consistency with the other vision health projections (Buhrmann, forthcoming).
Age group
0 –4
5 –9
10 –14
15 –19
20 –24
25 –29
30 –34
35 –39
40 –44
45 –49
50 –54
55 –59
60 –64
65 –69
70 –74
75 –79
80 –84
85 –89
90 –94
95 –99
100+
Total
The cost of vision loss in Canada
T ABLE 2 –1: C ANADIAN POPULATION PROJECTIONS , MALES
(‘000), 2006-2031, SELECTED YEARS
2006
868
943
1,068
1,109
1,153
1,125
1,122
1,183
1,357
1,335
1,170
1,029
778
591
490
387
249
115
38
7
1
16,116
2007
872
927
1,054
1,121
1,154
1,138
1,128
1,181
1,322
1,353
1,206
1,038
833
613
490
396
255
123
39
8
1
16,251
2008
875
917
1,037
1,130
1,152
1,152
1,139
1,179
1,279
1,372
1,241
1,054
879
641
495
402
263
131
40
8
1
16,386
2009
876
914
1,020
1,131
1,153
1,165
1,154
1,175
1,241
1,386
1,268
1,081
919
670
504
405
270
138
41
8
1
16,520
2010
879
911
1,002
1,123
1,161
1,173
1,169
1,173
1,217
1,384
1,294
1,114
958
699
515
407
278
143
44
9
1
16,654
2011
884
911
982
1,113
1,171
1,178
1,183
1,172
1,210
1,362
1,321
1,144
991
732
531
409
286
148
48
9
1
16,787
2016
914
928
952
1,029
1,176
1,199
1,238
1,236
1,202
1,220
1,350
1,295
1,107
936
662
449
307
175
64
12
1
17,451
2021
931
960
971
1,001
1,095
1,206
1,263
1,294
1,268
1,216
1,215
1,327
1,256
1,050
852
567
344
192
77
17
2
18,102
Source: Statistics Canada (2006).
2026
929
979
1,004
1,022
1,069
1,129
1,275
1,322
1,329
1,284
1,214
1,198
1,291
1,197
964
736
440
220
87
21
2
18,711
2031
913
980
1,026
1,057
1,092
1,105
1,203
1,338
1,360
1,346
1,282
1,199
1,171
1,235
1,105
841
579
288
103
24
3
19,249
17
18
Age group
0 –4
5 –9
10 –14
15 –19
20 –24
25 –29
30 –34
35 –39
40 –44
45 –49
50 –54
55 –59
60 –64
65 –69
70 –74
75 –79
80 –84
85 –89
90 –94
95 –99
100+
Total
The cost of vision loss in Canada
T ABLE 2 –2: C ANADIAN POPULATION PROJECTIONS , FEMALES
(‘000), 2006-2031, SELECTED YEARS
2006
829
900
1,017
1,056
1,100
1,101
1,101
1,168
1,342
1,337
1,194
1,054
806
637
554
491
389
228
99
26
4
16,431
2007
832
885
1,001
1,067
1,103
1,115
1,110
1,165
1,309
1,351
1,229
1,067
863
660
555
495
392
241
102
27
4
16,571
2008
834
876
986
1,075
1,102
1,129
1,121
1,162
1,268
1,366
1,260
1,087
912
689
560
497
395
253
104
29
4
16,709
2009
834
873
970
1,075
1,105
1,141
1,138
1,157
1,232
1,376
1,284
1,117
956
718
571
497
397
263
108
30
4
16,848
2010
835
871
954
1,067
1,115
1,148
1,154
1,156
1,207
1,373
1,306
1,152
1,000
748
583
497
402
269
114
32
4
16,986
2011
841
870
934
1,058
1,124
1,152
1,172
1,155
1,199
1,350
1,330
1,183
1,037
782
600
498
406
274
121
33
5
17,123
2016
868
883
907
978
1,128
1,178
1,225
1,227
1,188
1,211
1,345
1,320
1,165
1,007
739
544
417
291
148
42
6
17,815
2021
885
912
921
952
1,051
1,186
1,255
1,283
1,263
1,203
1,211
1,336
1,302
1,134
955
674
460
303
160
52
8
18,507
Source: Statistics Canada (2006).
2026
883
931
953
968
1,028
1,113
1,268
1,317
1,321
1,278
1,204
1,207
1,321
1,270
1,080
875
576
341
170
58
10
19,172
2031
868
931
973
1,001
1,046
1,094
1,200
1,333
1,357
1,338
1,281
1,202
1,197
1,292
1,214
996
753
432
196
63
11
19,780
The cost of vision loss in Canada
2.1.2
THNICITY
Canada is a racially diverse country. While ‘white’ Europeans make up the great majority of the population (82%), the 2001 Census data showed that Aboriginals (North American Indians, Metis and Inuit) comprised 5% while ‘Visible Minorities’ comprised 13% (East Asians – mainly Chinese),
South Asians – mainly Indians, and blacks and other migrant groups
9
Ethnicity
T ABLE 2 –3: E THNIC COMPOSITION OF C ANADIAN POPULATION (% TOTAL ), 2001
% of population
Aboriginal
Chinese and other East Asian
South Asian
Black
Other
White
Source: Statistics Canada, topic-based tabulations 95F0363XCB2001004 and 97F0011XCB2001003.
Note: Shares may not sum to 100% due to rounding.
4.6%
4.1%
3.1%
2.2%
4.1%
81.7%
While at present whites outnumber Aboriginal and Visible Minorities (AVM) by four to one, by the
end of the projection period (2032) whites only outnumber AVM by two to one (Figure 2-3)
10 .
9 For consistency with Statistics Canada data, the term ‘Aboriginal’ is used in this report and ‘North American Indians’ is used rather than ‘First Nations’. For the same reason, ‘black’ is used instead of Caribbean Canadian or African Canadian, and ‘white’ is used instead of European or Caucasian.
10 Statistics Canada makes projections for the population as a whole to 2031, and by race to 2017. Access Economics has extended these trends to 2032, as that represents 25 years after the base year (2007)
19
The cost of vision loss in Canada
F IGURE 2-3: W HITE AND AVM POPULATIONS , 2006-2032 (% TOTAL )
White Aboriginals and Visible Minorities
90
80
70
60
50
40
30
20
10
0
Source: Statistics Canada (2005a, 2005b, 2006).
Statistics Canada (2005a and 2005b) makes projections for Aboriginal and, separately, Visible
Minorities populations to 2017. However, both populations’ shares of the Canadian total have been growing in a fairly linear manner
– due to high migration (Visible Minorities) and high birth rates
(Aboriginal peoples). Out to 2017, official projections maintain these trends (Figure 2-4). Access
Economics has extended the same trends from 2018 through to 2032.
20
The cost of vision loss in Canada
F IGURE 2-4: A BORIGINALS AND V ISIBLE M INORITIES , 1981-2017, SELECTED YEARS (% POPULATION )
25%
20%
15%
10%
5%
Visible Minorities (%)
Trend
Aboriginal Peoples
Trend
0%
1981 1986 1991 1996 2001 2006 2011 2017
In Canada, demographic aging is less of an issue for non-white populations. Aboriginals in particular have a young age profile (over 60% are under 30 years old), although the East Asian
population is fairly evenly spread across all age groups (Figure 2-5 and Figure 2-6).
Statistics Canada (2005b) publishes an age-gender profile for Aboriginal peoples at the beginning, middle and end (2017) of its projections. In the absence of further data, Access Economics has assumed that the 2017 profile is maintained through to 2032. This errs on the side of conservatism, as the Aboriginal population might age between 2017 and 2032, which would increase the prevalence of VL.
Statistics Canada (2005a) does not publish an age-gender profile for its Visible Minorities projections. However, given most of the growth in this population occurs through immigration, it could reasonably be expected to maintain a similar age-gender profile to that which it has at present.
The age-gender profile (as well as total numbers) for whites was estimated as a residual after subtracting Aboriginal and Visible Minorities (AVM) projections from Statistics Canada (2006) total population projections.
21
8%
7%
6%
5%
4%
3%
2%
1%
0%
The cost of vision loss in Canada
F IGURE 2-5: A GE DISTRIBUTION OF NON WHITE MALES (% POPULATION ), 2001
East Asian
South Asian
Black
Other Visible Minority
Aboriginal
Age group (years)
4%
3%
2%
1%
0%
8%
Source: Statistics Canada, topic-based tabulations 95F0363XCB2001004 and 97F0011XCB2001003.
F
IGURE
2-6: A
GE DISTRIBUTION OF NON
-
WHITE FEMALES
(%
POPULATION
), 2001
7%
6%
East Asian
South Asian
Black
Other Visible Minority
Aboriginal
5%
Age group (years)
Source: Statistics Canada, topic-based tabulations 95F0363XCB2001004 and 97F0011XCB2001003.
22
The cost of vision loss in Canada
It is noteworthy that there is a strong concordance between the ethnic compositions of Canada and
Australia (Figure 2-7). Australia is also similar to Canada in culture and standard of living
11 , and has similar principles and values underlying its health system.
F IGURE 2-7: E THNIC COMPOSITION OF C ANADIAN POPULATION COMPARED TO A USTRALIA
’
S
100
90
80
70
60
Canada
Australia
50
40
30
20
10
0
European Asian Aboriginal Black / Other /
Islander Mixed
Note: ‘Black / Islander’ for Canada refers to blacks (72% of whom have Caribbean island heritage) and to Pacific islanders for Australia. Australian data are 2006, Canadian data are 2001 .
Source: Statistics Canada (2004b) and Statistics Canada Online Topic Based Tabulations, www.statcan.ca
(Cat No
97F0010XCB2001004) and, Australian Bureau of Statistics, Australia Year Book 2007 (Cat No 1301.0).
2.2
A variety of data sources were reviewed to estimate prevalence of VL stratified by age, gender, ethnicity, severity (mild and moderate VL and blindness) and cause (AMD, cataract, DR, glaucoma,
RE and ‘other’). Since this level of granularity is not available from any single Canadian epidemiological data source, various data sources were combined in order to ensure that Canadian aggregates were used wherever possible, with credible alternative sources used where there were found to be data gaps.
Three types of data sources were used.
Population-based eye studies . These are the gold standard, where the degree, type and cause of VL are assessed by experts over a large sample of people. However, because such
11 In 2006, according to World Bank statistics Australia’s per capita income was $US 36,000, where Canada’s was
$US 36,200 (see http://web.worldbank.org/WBSITE/EXTERNAL/DATASTATISTICS ).
23
The cost of vision loss in Canada studies require large amounts of time, money and equipment, they are very rare, and none have been conducted in Canada, although data from the EDPRG eye studies (Appendix A) were utilised where appropriate.
Canadian surveys . These large scale collections assemble data from, typically, tens of thousands of respondents, across all ages, genders, ethnicities and geographic areas. The down side is that they are self-diagnosed and self-reported, and thus may suffer a substantial degree of error. Another issue is that publicly available data are usually highly aggregated.
Relevant studies in Canada include the Canadian Community Health Survey (CCHS), the
National Population Health Survey (NPHS) – a longitudinal study, and the Participation and
Activity Limitation Survey (PALS) 12 .
Canadian journal articles and research studies . These often provide a great deal of detail, but only in relation to a small subject area – eg, myopia among children of Chinese immigrants, or use of visual support services by the poor in a particular city, for example.
Extensive literature searching has only uncovered a handful of such studies conducted in
Canada. Examples include:
Cheng et al (2007) on the prevalence of myopia in Chinese-Canadian children;
Hanley et al (2005) on complications of diabetes (including DR) among Aboriginal
Canadians;
Meddings et al (1998) on the relationship between the development of cataract at a young age and socioeconomic status in British Columbia;
Chang et al (1999) on AMD in Chinese-Canadians; and
Iskedjian et al (2003) on the costs of treating patients with glaucoma in Canada.
2.2.1
OPULATION
BASED EYE STUDIES
Population-based eye studies in the US, Australia and the Netherlands show that the prevalence of
VL and its underlying eye diseases do not vary greatly between white populations in these countries.
Accordingly, data from these studies form the basis of estimates for the white Canadian population.
However, these population studies also show significant differences in VL prevalence between given racial groups (eg, East Asian and black) living in wealthy countries (such as Canada) and those living in poorer countries (eg, China, Barbados). Accordingly, wherever possible, data for non-white groups are sourced from Canadian surveys and journal articles (see the following sections).
2.2.2
ANADIAN SELF
REPORTED SURVEY DATA
While data from national health surveys are self diagnosed and self reported, they may still be a reasonably good indicator of overall VL, and some major eye diseases.
People generally know they have vision problems. The Canadian Ophthalmological Society’s
(2006) eye examination guidelines note that less than 1% of the population are unaware of having decreased vision. The exception is glaucoma, where only half of those with the condition are aware of it.
Surveys may be a reasonably accurate diagnostic tool. Djafair et al (2003) conducted an interesting evaluation of survey questionnaires as a diagnostic tool. Administering typical survey questions to over 500 patients in a Canadian hospital (whose VL was also able to be
12 Neither the PALS or the CCHS are published in hard copy, but selected data can be tabulated from these surveys at the
Statistics Canada website (www.statcan.ca)
24
The cost of vision loss in Canada clinically assessed) resulted in a sensitivity of 82.6% and a specificity of 88.9% for best corrected VL.
Conversely, while rates between races are reasonably similar within the CCHS and within the
EDPRG data (Congdon et al, 2004a), they do tend to be quite different to each other. (As noted above, the approach adopted herein is to use EDPRG data for Canadian whites, and Statistics
Canada data for the AVM population.) The only disease for which AVM prevalence is similar to US whites is glaucoma, which is the disease least likely to be selfdiagnosed as most people don’t know they have it. Cataract rates in US whites are some three times higher than in Canadian AVM.
Refractive error rates for US whites are around ten times or more higher than Canadian AVM rates – when both are assessed on a best-corrected basis. Moreover the age patterns (for both races) are reversed in CCHS data (increasing with age, where EDPRG data shows decreases with age). As eye health questions are optional for CCHS participants, the data also has a number of gaps due to responses being too small to be statistically valid &/or not contravene privacy regulations.
2.2.2.1 P ARTICIPATION AND A CTIVITY L IMITATION S URVEY (PALS, 2001)
The PALS asks respondents the following questions.
With your glasses or contact lenses, do you have any difficulty seeing ordinary newsprint?
Have you been diagnosed by an eye specialist as being legally blind?
Besides glasses or contact lenses, do you use any other aids or specialized equipment for persons who are blind or visually impaired eg, magnifiers or Braille reading materials?
Figure 2-8 shows the prevalence of seeing disabilit
ies according to this source’s definition, differing
somewhat from Statistics Canada (2004a) (recall Figure 1-1).
16%
F IGURE 2-8: P REVALENCE OF SEEING DISABILITIES BY AGE AND GENDER (2001)
Male
Female
14%
14.9%
12% 11.5%
10%
8%
6.0%
6%
4%
2.5%
3.3%
3.4%
2%
0.4%
0.7%
0.9%
0%
0.12%
0.13% 0.42%
0.44%
0.24%
0.38% 0.4%
0-4 5-9 10-14 15-24 25-44
Age group (years)
45-64
Source: Statistics Canada Online PALS (2001) www.statcan.ca.
65-74 75+
25
The cost of vision loss in Canada
2.2.2.2 C ANADIAN C OMMUNITY H EALTH S URVEY (2005) AND N ATIONAL P OPULATION H EALTH
S URVEY (NPHS)
A major limitation for our purposes is that PALS does not provide any information about ethnicity.
The CCHS in contrast collects detailed data about ethno-cultural identities and background.
Unfortunately, in its publicly available form, the CCHS amalgamates this into only two categories
‘White’ and ‘Other’.
The CCHS classified respondents as (under corrected) hyperopic if they could not see well enough to read ordinary newsprint (with glasses); and (under corrected) myopic if they could not recognise a friend across the street (with glasses). The CCHS also asked respondents if they cou ld see at all (ie, blindness), but this was amalgamated in the category ‘myopic and hyperopic and/or blind’.
Figure 2-9 shows that in Canada, non-whites have a higher degree than whites of uncorrected VL in
younger years, but generally lower rates in older age. This pattern is also apparent for VL from best corrected myopia
(Figure 2-10) and for Canadians
unable to see clearly at any distance or at all
(Figure 2-12). There is a generally higher prevalence of VL from under corrected
hyperopia among
F IGURE 2-9: U NCORRECTED VL, BY ETHNICITY , AGE AND GENDER (% POPULATION )
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
White Female
White Male
Non-white Female
Non-white Male
Years of age
Source: Statistics Canada CCHS public use microdata files.
26
The cost of vision loss in Canada
F IGURE 2-10: U NDER CORRECTED VL FROM MYOPIA , BY ETHNICITY , AGE AND GENDER (% POPULATION )
8%
7%
6%
5%
4%
3%
2%
1%
0%
White Female
White Male
Non-white Female
Non-white Male
Years of age
Source: Statistics Canada CCHS public use microdata files.
Note: Data for non-white males over 65 not supplied.
F IGURE 2-11: U NDER CORRECTED VL FROM HYPEROPIA , BY ETHNICITY , AGE AND GENDER (%
POPULATION )
6%
5%
4%
White Female
White Male
Non-white Female
Non-white Male
3%
2%
1%
0%
Years of age
Source: Statistics Canada CCHS public use microdata files.
27
The cost of vision loss in Canada
F IGURE 2-12: C ANADIANS UNABLE TO SEE CLEARLY AT ANY DISTANCE OR AT ALL , BY ETHNICITY , AGE
AND GENDER (% POPULATION )
8%
7%
6%
5%
4%
3%
2%
1%
0%
White Female
White Male
Non-white Female
Non-white Male
Years of age
Source: Statistics Canada CCHS public use microdata files.
While elderly male non-whites continue to fit the pattern by having lower cataract prevalence 13 than their white contemporaries, there is a divergence for older non-white women, who have the highest
cataract prevalence (Figure 2-13).
13 The CCHS only reports cataract prevalence, not VL from cataract.
28
The cost of vision loss in Canada
F IGURE 2-13: C ATARACT PREVALENCE , BY ETHNICITY , AGE AND GENDER (% POPULATION )
45%
40%
35%
30%
25%
20%
15%
10%
5%
0%
White Female
White Male
Non-white Female
Non-white Male
Years of age
Source: Statistics Canada CCHS public use microdata files.
Over most age ranges, it is non-white males who have the highest rates of glaucoma 14
Canada. Data from various CCHSs and NPHSs compiled by Peruccio et al (2007) show that the prevalence of glaucoma in Canadians over the age of 20 years increased by 64% between 1994 and 2003. Moreover, this is not just due to population aging, as the same trend can be seen within each age group – and in fact the increase is highest in those under 50 years. Some of this increase can be ascribed to improved diagnosis over this period. A similar trend is evident in diabetes, and
thus presumably DR (see discussion around Table 2 –4).
14 The CCHS only reports prevalence of glaucoma, not of VL from glaucoma
29
The cost of vision loss in Canada
F IGURE 2-14: G LAUCOMA , BY ETHNICITY , AGE AND GENDER (% POPULATION )
14%
12%
10%
8%
6%
4%
2%
0%
White Female
White Male
Non-white Female
Non-white Male
Years of age
Source: Statistics Canada CCHS public use microdata files.
Diabetic Retinopathy causes around 600 new cases of blindness in Canada each year 15 . Despite acknowledging that DR is ‘the leading cause of adult blindness in Canada’
16 Statistics Canada does not collect any information on this disease. (The CCHS asks people with diabetes if they have had an eye examination where their pupils were dilated but does not provide the results of these tests.)
However, it is possible to derive the prevalence of VL from DR from the CCHS in conjunction with another Statistics Canada publication: Wilkins and Park (1996) calculated from the 1994-95 NPHS that people with diabetes were almost twice as likely as those without (odds ratio of 1.72) to have a vision limitation. Most of this is likely to refer to DR, although Canadians with diabetes also have higher rates of cataract and glaucoma than those without (James et al, 1997). Thus an upper limit for prevalence of VL from DR could be calculated by taking each age-gender cohort in the diabetic
population (from Table 2 –4) and assigning it 1.72 times the VL prevalence experienced by that
cohort in the general population. (This is discussed in more detail in section 2.3.5)
15 Public Health Agency of Canada, National Diabetes Fact Sheet 2007 , http://www.phac-aspc.gc.ca/ccdpccpcmc/diabetes-diabete/english/pubs/ndfs-fnrd07-eng.html
16 http://www.statcan.ca/english/research/82-619-MIE/2005002/sequelae.htm
(accessed 3 Feb 2008)
30
The cost of vision loss in Canada
Age
T ABLE 2 –4: P REVALENCE OF DIABETES , BY AGE AND GENDER , 2005 (%)
Male Female All
12-14
15-19
20-24
25-34
35-44
45-54
55-64
65-74
75+
Total
0.3
0.9
0.9
2.1
5.0
11.8
17.3
16.8
0.3
0.7
1.2
1.9
4.0
8.5
12.3
13.1
0.3
0.3
0.8
1.1
2.0
4.5
10.1
14.6
14.6
5.3 4.4 4.9
Source: Statistics Canada http://www40.statcan.ca/l01/cst01/health53b.htm
One important fact to note with diabetes is that it is growing faster than population growth.
Moreover, this growth is not just due to population aging either, as the prevalence of diabetes has increased significantly within every age-gender cohort (by an average of over 50% in the decade to
2005, potentially due to increasing rates of obesity and other risk factors). Again, as with glaucoma, the highest increases in prevalence are in the younger ages. This could have significant implications for the prevalence of blindness in Canada over the next 25 years. However, in the interests of conservatism, age-gender prevalence rates were modelled to remain constant in the future.
A summary of eye disease prevalence in AVM groups from the 2005 CCHS is contained in Table 2 –
5. As noted above, for the white Canadian population, studies in the EDRPG dataset are used.
The CCHS does not report the prevalence of either AMD or DR. DR, however, can be estimated
indirectly (and is done so in Section 2.3.5, covering VL caused by DR in AVM groups). The
prevalence of AMD in Canadian AVMs is assumed to be the same as the average prevalence in non-white Americans (from Congdon et al, 2004a).
31
The cost of vision loss in Canada
Males
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Females
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
T ABLE 2 –5: CCHS PREVALENCE OF EYE DISEASES IN AVM
Cataract Glaucoma Hyperopia
0.0%
0.4%
0.0%
0.2%
0.3%
0.1%
1.9%
2.0%
4.4%
11.7%
13.2%
22.9%
16.0%
21.0%
20.99%
20.99%
0.00%
0.05%
0.00%
0.15%
0.82%
0.56%
0.64%
1.18%
4.45%
1.85%
6.26%
9.53%
5.70%
5.99%
5.99%
5.99%
0.47%
1.31%
0.00%
0.00%
0.00%
0.83%
0.40%
1.46%
2.52%
1.48%
2.24%
2.53%
2.82%
2.45%
2.45%
2.45%
0.00%
0.05%
0.09%
0.43%
0.28%
0.56%
0.19%
1.41%
3.46%
10.05%
21.14%
34.68%
36.80%
41.99%
41.99%
41.99%
0.18%
0.00%
0.00%
0.25%
0.18%
0.50%
0.21%
0.99%
0.65%
2.34%
2.08%
3.07%
11.50%
2.95%
2.95%
2.95%
0.00%
0.18%
2.19%
1.42%
1.53%
1.63%
1.25%
3.20%
5.15%
3.02%
0.88%
0.31%
3.20%
3.19%
3.19%
3.19%
Myopia
0.00%
0.00%
0.80%
0.00%
0.00%
0.32%
0.00%
0.10%
0.92%
0.62%
3.40%
2.16%
2.26%
2.64%
2.64%
2.64%
0.00%
0.00%
0.00%
0.98%
0.00%
0.00%
0.39%
0.00%
1.00%
0.87%
0.95%
3.17%
3.24%
2.55%
2.55%
2.55%
0.50%
0.70%
0.97%
1.34%
1.85%
2.57%
3.59%
5.02%
5.02%
Note: Figures in italics contain no data in original, and are interpolated from relative changes between cohorts in the same ethnicity or gender.
Source: Source: Statistics Canada CCHS public use microdata files, Congdon et al (2004a).
AMD
0.24%
0.39%
0.64%
1.06%
1.75%
2.88%
4.69%
7.55%
7.55%
2.2.3
ATA FROM
ANADIAN JOURNAL ARTICLES AND RESEARCH STUDIES
2.2.3.1 C ANADIAN POPULATION STUDIES
Maberley et al (2006) conducted an analysis of all ophthalmological records (around 2,500, of which
962 were suitable) in Prince George, a medium-sized Canadian city, over a five year period. They concluded that ‘The overall prevalence of low vision and blindness in Canada are in keeping with
32
The cost of vision loss in Canada data from large population-based studies fro
m other developed nations’. As Figure 2-15 shows,
cataract, visual pathway disorders 17 and AMD were the leading causes of VL in this study.
F IGURE 2-15: C AUSES OF VL IN P RINCE G EORGE , C ANADA
Glaucoma
3%
Other (iris, trauma, lid)
5%
DR
7%
Cataract
29%
Refractive
8%
Cornea / conjunctiva
11%
AMD
13%
Visual pathway
12%
Other retinal causes
12%
Source: Maberley et al (2006).
CNIB has a database of its clients that can also be used to derive an estimate of the causes of
of blindness. The fact that the elderly blind may have difficulty registering may represent a source of bias, however.
AMD
DR
Glaucoma
Other
Total
T ABLE 2 –6: C AUSES OF BLINDNESS IN CNIB CLIENTS (2007)
Cause Persons (‘000)
50.2
7.5
7.6
49.2
114.5
Source: CNIB
2.2.3.2 C HINESE C ANADIANS
Chang et al (1999) reports in a study of 20,000 patients presenting for fluorescein angiography that the rate of AMD in Chinese Canadians (30.4%) was over twice as high as in white Canadians
17 Visual pathway disorders (ICD10 H446-H48) are conditions which impede the visual pathway. Occasionally acute vision loss is caused by homonymous hemianopia and, more rarely, cortical blindness.
33
The cost of vision loss in Canada
(14.6%). From this, it may be plausible to assume that AMD in Chinese-Canadians is twice as high as the overall population estimate provided by Maberley et al (2006).
Cheng et al (2007) report that Chinese Canadian children aged six years have a prevalence rate of myopia of 22.4%, which is several times the prevalence reported by Robinson (1999) for Canadian six year olds in general of 6.4%. Cheng et al (2007) also report that the prevalence of myopia among Chinese children in Canada is broadly similar to earlier findings from Chinese children in
China (Hong Kong)
decline in later years; Wong (2006) records that Chinese in China over the age of 40 and 60 years have myopia prevalence of 22.9% and 19.4% respectively.
F IGURE 2-16: M YOPIA IN C HINESE CHILDREN IN C ANADA AND H ONG K ONG
100
90
80
70
60
50
40
30
20
10
Canada 2003
Hong Kong 1996
Hong Kong 2000
Hong Kong 2001
0
5 6 7 8 9 10
Age (years)
11 12 13 14 15
Source: Cheng et al (2007).
If nature dominates nurture for the Canadian Chinese population, as well as having twice the rate of
AMD, it is also possible that Chinese Canadians may have twice the rate of DR . The 2001 PALS found that 17.4% of Canadians who have diabetes report a seeing disability. Wong et al (2006) found that 35% of the Chinese population in Taiwan with diabetes have a seeing disability. The
Institute for Clinical Evaluative Sciences - ICES (Glazier et al, 2007) note that in the US, African and
Hispanic populations have twice the rate of diabetes as do whites; diabetes among Asian Americans is higher than in whites and rising faster than in other ethnic groups; and that in the United Kingdom
(UK), South Asians have at least three times the rate of diabetes as the white population.
2.2.3.3 A BORIGINALS
Data availability for VL in North American Indians, Metis and Inuit is also scarce. Hanley et al (2005) found 23.3% of North American Indian diabetics in remote communities had DR, with similar figures
34
The cost of vision loss in Canada also being reported by Maberley et al (2002). This is around a third higher than for the general population (albeit lower than the Chinese figures). ICES (Glazier et al, 2007) note that the prevalence of diabetes in Aboriginal communities in Ontario (13%) was three times higher than for the non-indigenous population.
Van Rens et al (1988) reported remarkably high levels of POAG in Eskimo women in Alaska (Table
2 –7). Similarly, Adams and Adams (1974) reported that the prevalence of POAG in Canadian Inuit
women was up to 40 times that in non-Inuit women.
Age (years)
<49
50-59
60-69
70+
T ABLE 2 –7: P REVALENCE OF POAG AMONG THE E SKIMO (%)
Males Females
3.1
2.6
3.7
0.5
Source: Van Rens et al (1988).
3.6
11.8
11.8
1.2
Young et al (2000) state that Canada’s North American Indians have a ‘high prevalence of serious and untreated diabetic retinopathy’.
18 Health Canada (2002b) reports that 25% of Mohawks who have had diabetes for ten years also have DR.
T ABLE 2 –8: P REVALENCE OF DIABETES AMONG C ANADIAN A BORIGINAL PEOPLES (1991)
3
2
1
0
5
4
9
8
7
6
Total
Aboriginal
On-Reserve Off-Reserve
North
American
North
American
Indians Indians
Total North
American
Indians
Metis Inuit
18 They cite Ross and Flick (1991) as their source, but this article does not appear to be electronically available.
35
The cost of vision loss in Canada
Source: Health Canada (2002b).
2.2.3.4 BLINDNESS
Buhrmann et al (forthcoming) estimate the prevalence of blindness by cause in Canada out to 2031, by applying the breakdown from Congdon et al (2004a) to Statistics Canada’s (total) population projections for selected years.
T ABLE 2 –9: P REVALENCE OF BLINDNESS BY CAUSE , 2006 TO 2031 (% POPULATION )
2.3
Cause
AMD
DR
Glaucoma
Other
Total
2006 2011 2016 2021
0.4
0.0
0.1
0.2
0.7
0.4
0.0
0.1
0.2
0.5
0.0
0.1
0.2
0.5
0.1
0.1
0.2
0.7 0.7 0.8
Source: Buhrmann et al (forthcoming).
2026
0.5
0.1
0.1
0.2
0.9
2031
0.6
0.1
0.1
0.2
1.0
2.3.1
HITE POPULATION
As noted above, there have not yet been any major population eye health studies conducted in
Canada. Thus, for Canadian whites, the choice falls to using self-diagnosed and self-reported data from the CCHS, or using data from American or Australian eye health studies. Australian data
(Centre for Eye Research Australia, 2005) 19 is preferred for two reasons. First, Australian VL data for each disease is available by age cohort, which is essential for working with population projections. Second – and potentially reflecting similar ethnic mix and health systems – the
Australian proportion of total VL caused by each of the major diseases is significantly closer to
Canada’s than the US data (Table 2–10). As the table shows, the proportion of VL caused by
cataract in the US is more than three times higher than in Canada, whereas the ratio between
Canada and Australia is around 1.30 to 1.00 At the other end of the scale, the proportion of VL due to RE and other is more than five times smaller in the US than it is Canada, whereas the ratio between Australia and Canada is around 1.39 to 1.00.
T ABLE 2 –10:
CAUSES OF VL, BY DISEASE , IN WHITE POPULATIONS
Disease US Canada Australia
Cataract
Glaucoma
DR
AMD
RE/Other
59.2%
3.3%
4.9%
22.9%
9.7%
18.6%
7.0%
7.0%
16.3%
51.3%
Sources: US (Congdon et al, 2004a), Canada (Maberley et al, 2006), Australia (CERA, 2005)
14.3%
2.9%
1.6%
10.1%
71.2%
19 These data have been published in a number of journal articles, including Taylor, Pezzullo and Keeffe (2006)
36
The cost of vision loss in Canada
Australian VL
Access Economics (2007) used data from the MVIP to determine the prevalence of VL caused by
AMD
(Table 2 –11). Severity was measured according to the better seeing eye (noting that with
AMD it can become the worse one over time). For Canada, the distribution between mild, moderate and severe VL from AMD and by age are based on these data, as it was considered likely that AMD incidence and progression follows a similar pathway in Canada.
T ABLE 2 –11: P REVALENCE OF VL DUE TO AMD, BY SEVERITY (% OF AGE GROUP )
Age
0-69
70-74
75-79
80-84
85-89
90+
40+
Mild
0.00
0.17
0.00
1.00
2.13
3.15
0.10
Moderate
0.00
0.00
0.87
1.00
4.26
6.29
0.33
Source: Access Economics (2007).
Severe
0.00
0.17
0.00
1.00
3.19
4.72
0.13
The Centre for Eye Research Australia (CERA, 2005) estimated the prevalence of VL caused by cataract
in Australia, also from the MVIP (Table 2 –12). For Canada, as with AMD, the distribution
between mild, moderate and severe VL from cataract and by age are based on these data.
T ABLE 2 –12: P REVALENCE RATES FOR VL FROM CATARACTS , BY AGE AND SEVERITY (%)
Age
40-49
50-59
60-69
70-79
80-89
90+
Total VL (<20/40)
0.0%
0.0%
0.1%
1.4%
6.6%
15.2%
Source: CERA (2005).
VL by severity Total
Mild (6/12 to 6/18) 60.2%
Moderate (<6/18 to 6/60) 26.7%
Severe (>6/60) 13.0%
Access Economics (2008c, forthcoming) provides estimates of the prevalence of VL caused by DR
(Table 2 –13), based on combined data from the MVIP and Blue Mountains Eye Study (BMES). For
Canada, the distribution between mild, moderate and severe VL from DR and by age are again based on these data.
T ABLE 2 –13: P REVALENCE RATES FOR VISION IMPAIRMENT (<6/12) FROM DR, AND PROPORTION BY
STAGE OF VISION LOSS
Age
40-49
50-59
60-69
70-79
80-89
90+
Total VL (<20/40)
0.0%
0.0%
0.2%
0.1%
0.5%
0.6%
VL by severity Total
Mild (6/12 to 6/18) 30.6%
Moderate (<6/18 to 6/60) 47.8%
Severe (>6/60) 21.6%
(a) Prevalence based on combined data from the MVIP and BMES. (b) Stages of vision loss based on MVIP.
Source: Access Economics (2008c).
Access Economics (2008b) estimated the prevalence of VL caused by POAG , by degrees of
severity, from the MVIP and the BMES (Table 2 –14). For Canada, the distribution between mild,
moderate and severe VL from glaucoma and by age are once again based on these data.
37
The cost of vision loss in Canada
T ABLE 2 –14: P ROPORTION OF PEOPLE WITH GLAUCOMA BY AGE AND SEVERITY (%)
Age Group
0-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Mild Moderate
0.0
0.2
0.4
0.5
1.2
1.7
2.2
0.0
1.7
2.8
3.7
8.4
11.5
15.1
1.1 7.7
Source: Based on combined data from the MVIP and BMES.
Severe
0.0
2.9
2.6
3.3
1.8
2.5
4.8
20.6
Most people with glaucoma in developed countries are unaware they have the disease (Canadian
Ophthalmological Society, 2007). Even among those regularly visiting eye professionals, the probability of diagnosis depends on the severity of the condition. Hence, the more severe forms have the highest (diagnosed) prevalence.
Wong et al (2004) examined the presence of undiagnosed glaucoma in people who had visited an eye care provider in the previous year using MVIP data. They found that 81% of possible cases, 72% of probable cases and 59% of definite cases of glaucoma were previously undiagnosed by the eye care provider.
CERA (2005) estimated the prevalence of VL caused by RE
in Australia from the MVIP (Table 2
15). For Canada, the relativities between mild, moderate and severe VL from RE and by age are
based on these data, as it is likely that RE incidence and progression follows a similar pathway in
Canada.
T
ABLE
2 –15: P
REVALENCE RATES FOR
VL
FROM
RE,
BY AGE AND SEVERITY
(%)
Age Total VL (<20/40) VL by severity Total
40-49
50-59
60-69
70-79
80-89
90+
0.5%
1.8%
3.9%
7.8%
13.0%
7.9%
Source: CERA (2005).
Mild (6/12 to 6/18) 83.4%
Moderate (<6/18 to 6/60) 14.6%
Severe (>6/60) 2.0%
In addition to the above breakdowns by severity, CERA (2005) also gives an overall prevalence of
VL caused by each major eye disease, which is used as the basis for the prevalence of VL by cause
for Canadian whites (Table 2 –16).
38
The cost of vision loss in Canada
T ABLE 2 –16: E STIMATED VL PREVALENCE IN C ANADIAN WHITES BY DISEASE AND AGE
Cataract DR Glaucoma AMD RE Other
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
0.00%
0.08%
0.01%
0.16%
0.73%
2.37%
5.49%
8.71%
15.17%
0.00%
0.09%
0.12%
0.16%
0.16%
0.10%
0.44%
0.78%
0.68%
0.58%
0.00%
0.16%
0.20%
0.34%
1.52%
1.32%
1.23%
Source CERA (2005).
0.00%
0.00%
0.00%
0.71% 0.18%
0.29% 0.14%
1.05% 0.52%
2.62% 0.17%
0.00%
0.08%
2.51% 0.25%
5.38% 0.43%
0.22%
1.70%
6.30%
9.87%
0.64%
0.78%
2.31% 13.13% 0.92%
8.77% 12.80% 3.75%
12.97% 7.86% 2.44%
2.3.2
BORIGINALS AND
ISIBLE
INORITIES
There are severe data problems in estimating the prevalence of VL among Canada’s AVM populations. While the CCHS collects the prevalence of eye diseases, by age, for the AVM population, it does not collect data on the causes of VL. Moreover, the prevalence data are not
disaggregated by race, despite known differences between races (Figure 2-17). There have been
some international population eye health studies covering the causes of VL in non-whites, but the races (blacks and Hispanics) co vered were not representative of Canada’s AVM population (blacks are 2% of the Canadian population, and Hispanic does not rate a category in the Canadian census).
Moreover the data is not available by age-cohort which, given how greatly the incidence of VL varies by age, makes it very difficult to map to Canada’s AVM population.
F IGURE 2-17: C AUSES OF BLINDNESS BY ETHNICITY (US)
Source: Congdon et al (2004a).
Access Economics ’ approach has been to estimate from international sources the likelihood that a non-white person who has an eye disease will develop VL, and apply that ratio to the CCHS
39
The cost of vision loss in Canada prevalence of that disease in Canada’s AVM population. The next few paragraphs illustrate the concepts involved using illustrative round numbers.
Suppose, for example, that 25% of the US non-white population who have cataract will also have VL from that disease. Suppose further, that 10,000 Canadian AVM have cataract. Then - if making the assumption that the share of non-whites with cataract who have VL is similar on both sides of the border - there are an estimated 2,500 (=10,000 * 25%) AVM who suffer VL because of their cataracts.
Prevalence rates of cataract by age group among Canadian AVM are known and Congdon et al
(2004a) reports that, in America, if a white and a non-white both have cataract, the white is more likely to suffer VL from the disease (for illustrative purposes, suppose twice as likely). Assuming that
American, Australian and Canadian whites are similar in this relative risk, then if 80% of 80 year old
(Australian) whites with cataract have VL, it follows that half as many (40%) of Canadian non-whites
(Canadian) with cataract will have VL. So if the CCHS reports that there are 1,000 80 year old
Canadian AVM with cataract, 400 of them (=1,000 * 40%) are estimated to have VL.
2.3.3
ATARACT
INDUCED
IN
Because there are multiple races and multiple diseases, this section works through one disease in detail – cataract – using actual data, and other disease prevalence rates are similarly calculated.
Using the NEI disease prevalence (http://www.nei.nih.gov/eyedata/tables.asp) and 2000 US Census data (http://factfinder.census.gov/), an estimated 7.47% of the white population had cataract (Row A,
Table 2 –17). Access Economics (2006) shows that 2.79% of white Americans had VL (Row B).
Congdon et al (2004a) show that 59.2% of this total VL was caused by cataract (Row C). Thus, the prevalence of cataract-induced VL was 1.65% (59.2% times 2.79%) of the white population (Row D).
Thus, it can be deduced that 22.1% (1.65/7.47) of whites who have cataract will also have VL from those cataracts (Row E).
T ABLE 2 –17: P REVALENCE OF VL IN US WHITES WITH CATARACTS (2000)
Factor
A. Prevalence of cataract
B. Prevalence of VL
C. Proportion of VL caused by cataract
D. Prevalence of cataract-induced VL (C*B)
E. Percent of cataract population who have VL (D/A)
Sources: Access Economics (2006), Congdon et al (2004a).
%
7.47%
2.79%
59.2%
1.65%
22.1%
For blacks, the same data show that 6.42% of the black population had cataract (Row A, Table 2 –
18). Access Economics (2006) shows that 2.28% of black Americans had VL (Row B). Congdon et
al (2004a) show that 50.9% of this total VL was caused by cataract (Row C). Thus, the prevalence of cataract-induced VL was 1.16% (50.9% times 2.79%) of the black population (Row D) and it can be deduced that 18.1% (1.16/6.42) of blacks who have cataract will also have VL from those cataracts (Row E).
40
The cost of vision loss in Canada
T ABLE 2 –18: P REVALENCE OF VL IN US BLACKS WITH CATARACTS (2000)
Factor %
A. Prevalence of cataract
B. Prevalence of VL
C. Proportion of VL caused by cataract
D. Prevalence of cataract-induced VL (C*B)
E. Percent of cataract population who have VL (D/A)
6.42%
2.28%
50.9%
1.16%
18.1%
Sources: Access Economics (2006), Congdon et al (2004a).
For Hispanics, the data record that 6.96% of the Hispanic population had cataract (Row A, Table 2 –
19). Access Economics (2006) shows that 1.96% of Hispanic Americans had VL (Row B).
Congdon et al (2004a) show that 46.7% of this total VL was caused by cataract (Row C). Thus, the prevalence of cataract-induced VL was 0.91% (46.7% times 1.96%) of the Hispanic population (Row
D) and it can be deduced that 13.1% (0.91/6.96) of Hispanics who have cataract will also have VL from those cataracts (Row E).
T ABLE 2 –19: P REVALENCE OF VL IN US H ISPANICS WITH CATARACTS (2000)
Factor %
A. Prevalence of cataract
B. Prevalence of VL
C. Proportion of VL caused by cataract
D. Prevalence of cataract-induced VL (C*B)
E. Percent of cataract population who have VL (D/A)
6.96%
1.96%
46.7%
0.91%
13.1%
Sources: Access Economics (2006), Congdon et al (2004a).
Finally, for other races, according to the data, 6.96% of the remaining population of other races had
cataract (Row A, Table 2 –20). Access Economics (2006) shows that 2.15% of ‘other’ Americans
had VL (Row B). Congdon et al (2004a) show that 52.3% of this total VL was caused by cataract
(Row C). Thus, the prevalence of cataract-induced VL was 1.12% (52.3% times 2.15%) of the remainder of the population (Row D) and it can be deduced that 16.2% (1.12/6.96) of other races who have cataract will also have VL from those cataracts (Row E).
T
ABLE
2 –20: P
REVALENCE OF
VL
IN
US ‘O
THER
’
WITH CATARACTS
(2000)
Factor %
A. Prevalence of cataract
B. Prevalence of VL
C. Proportion of VL caused by cataract
D. Prevalence of cataract-induced VL (C*B)
E. Percent of cataract population who have VL (D/A)
6.96%
2.15%
52.3%
1.12%
16.2%
Sources: Access Economics (2006), Congdon et al (2004a).
Drawing this together, it is possible to estimate how much less likely the average non-white is to
develop VL after contracting cataracts than is the average white (Table 2 –21). Weighting the three
non-white races (black, Hispanic and ‘other’) by their respective shares of the Canadian AVM population (blacks 12%, Latin Americans 20 4%, ‘other’ 84%) yields the result that 16.3% of Canadian
20 As noted above, the Canadian census does not include the category ‘Hispanic’; ‘Latin American’ is used as a proxy.
41
The cost of vision loss in Canada
AVM with cataract will have VL from their cataracts (Row E). This in turn indicates that an AVM person with cataract is only 74% as likely to develop VL as is a white person with cataract (Row F).
T ABLE 2 –21: R ELATIVE RISK OF DEVELOPING VL FROM CATARACTS , BY RACE
Race/Ethnic group
E. Non-white weighted average
Prevalence of VL in those with cataract
22.1%
18.1%
13.1%
16.2%
16.3%
Share of Canadian
AVM population
12%
4%
84%
F. Ratio average non-white to white (E/A) 0.74
Source: Derived from previous tables.
Having derived above that, over the whole population, an AVM person with cataract is around threequarters as likely to have VL as a white person, this is then applied to the fraction of whites with
cataracts who have VL (Column C in Table 2 –22). The latter, in turn, is derived from the prevalence
of cataract-induced VL (from Table 2
–16, reproduced as Column A in Table 2–22) and from the
prevalence of cataract as a disease in whites (from the Australian Bureau of Statistics, 2006,
Column B below).
T ABLE 2 –22: P REVALENCE OF VL IN WHITES WITH CATARACT , BY AGE
Age
35-39
40-44
45-49
A. Prevalence of cataract
0.2%
0.2%
0.5%
B. Prevalence of cataract induced VL
0.0%
0.0%
0.0%
C. Fraction of those with cataracts who have
VL (B/A)
0.0%
0.0%
0.0%
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
0.5%
1.5%
1.5%
5.1%
5.1%
13.2%
13.2%
19.9%
19.9%
0.0%
0.1%
0.0%
0.2%
0.7%
2.4%
5.5%
8.7%
15.2%
Sources: CERA (2005), Australian Bureau of Statistics (2006).
0.0%
5.5%
0.7%
3.2%
14.2%
17.9%
41.5%
43.8%
76.2%
The likelihood that a non-white with cataract will develop VL (Column C in Table 2 –23) can then be
derived from the fraction of whites with cataracts who have VL (from Table 2 –22, reproduced as
–23) and the relative risk between whites and non-whites (from Table 2–21,
reproduced as Column B).
42
Age
The cost of vision loss in Canada
T ABLE 2 –23: P REVALENCE OF VL IN NON WHITES WITH CATARACT , BY AGE
A. Fraction of whites with cataracts who have
VL
0.0%
0.0%
0.0%
B. Relative risk of developing VL from cataract (nonwhite/white)
0.74
0.74
0.74
C. Fraction of non-whites with cataracts who have
VL (A*B)
0.0%
0.0%
0.0%
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
0.0%
5.5%
0.7%
3.2%
14.2%
17.9%
41.5%
43.8%
76.2%
Source: derived from Tables 2-21 and 2-22.
0.74
0.74
0.74
0.74
0.74
0.74
0.74
0.74
0.74
to ascertain how many non-whites have cataract. This information is provided by the CCHS (Table
–5) and reproduced as Column A in Table 2–24. Multiplying the number of AVM with cataract
(Column A) by their chance of having VL (Column B) gives the prevalence of VL from cataract in the
AVM population by age group. For example, if 22.9% of AVM aged between 70 and 74 have cataract, and 10.5% of these develop VL, then around 2.4% of AVM in this age group will have VL caused by cataract.
0.0%
4.1%
0.5%
2.3%
10.5%
13.2%
30.5%
32.2%
56.1%
43
The cost of vision loss in Canada
T ABLE 2 –24: P REVALENCE OF CATARACT INDUCED VL IN C ANADIAN AVM, BY AGE
Males
35-39
40-44
A Prevalence of cataract in nonwhites
0.3%
0.1%
B Fraction of nonwhites with cataracts who have VL
0.0%
0.0%
C Prevalence of cataract-induced
VL in non-whites
(A*B)
0.0%
0.0%
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Females
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
0.3%
0.6%
0.2%
1.4%
3.5%
10.0%
21.1%
34.7%
36.8%
42.0%
42.0%
42.0%
1.9%
2.0%
4.4%
11.7%
13.2%
22.9%
16.0%
21.0%
21.0%
21.0%
Source: Derived from above tables and data from the CCHS.
0.0%
0.0%
0.0%
0.0%
4.1%
0.5%
2.3%
10.5%
13.2%
30.5%
32.2%
56.1%
0.0%
0.0%
4.1%
0.5%
2.3%
10.5%
13.2%
30.5%
32.2%
56.1%
2.3.4
CAUSED BY
LAUCOMA AND
IN
The exercise in the previous section can be repeated for VL in AVM caused by the other major eye diseases, except DR, which is dealt with by a different method, using solely Canadian data, in
Section 2.3.5. Table 2 –25 reports the prevalence of each eye disease in each non-white group from
the NEI dataset (weighted by 2000 Census age cohorts, as above).
T ABLE 2 –25: P REVALENCE OF EYE DISEASES BY ETHNICITY , US, 2000
A. AMD
B. Cataract
C. Glaucoma
D. RE/Other
White
0.8%
7.5%
0.7%
16.7%
Black
0.4%
6.4%
1.6%
8.6%
Hispanic
0.4%
7.0%
0.9%
10.7%
Other
0.4%
7.0%
1.0%
10.9%
Source: US Census 2000 ( http://factfinder.census.gov/servlet/STTable?_bm=y&-geo_id=01000US&qr_name=ACS_2006_EST_G00_S0101&-ds_name=ACS_2006_EST_G00_ )
EDPRG ( http://www.nei.nih.gov/eyedata/tables.asp
)
0.0%
0.0%
0.0%
0.0%
0.1%
0.1%
0.5%
3.6%
4.9%
12.8%
13.5%
23.5%
0.0%
0.0%
0.2%
0.1%
0.3%
2.4%
2.1%
6.4%
6.8%
11.8%
44
The cost of vision loss in Canada
The prevalence of VL caused by each eye disease is derived from Congdon et al (2004a), which
A. AMD
B. Cataract
C. Glaucoma
D. RE/Other
T ABLE 2 –26: C AUSES OF VL BY ETHNICITY 21
White
22.9%
59.2%
3.3%
9.7%
Black
3.2%
50.9%
14.3%
17.0%
Hispanic
14.3%
46.7%
7.6%
18.5%
Source: Congdon et al (2004a).
Other
13.5%
52.3%
8.4%
15.1%
T
ABLE
2 –27: P
REVALENCE OF
VL,
BY ETHNICITY AND CAUSE
, US, 2000
White Black Hispanic Other
A. AMD
B. Cataract
C. Glaucoma
D. RE/Other
E. Sum
0.64%
1.65%
0.09%
0.27%
2.79%
0.07%
1.16%
0.33%
0.39%
2.28%
Source: Access Economics (2006), Table 2 –26.
0.28%
0.91%
0.15%
0.36%
1.96%
0.29%
1.12%
0.18%
0.32%
2.15%
T ABLE 2 –28: P REVALENCE (%) OF VL WITHIN SPECIFIED DISEASES , BY ETHNICITY
A. AMD
B. Cataract
C. Glaucoma
D. RE/Other
White Black Hispanic
95.2
22.1
14.0
1.6
17.4
18.1
20.1
4.5
63.2
13.1
16.7
3.4
Other
69.5
16.2
17.9
3.0
Extending the above analysis across ethnicities and diseases, Figure 2-18 shows the variance in the
probability of VL across diseases and ethnic groups. For example, AMD appears to have a significantly greater likelihood of causing VL in whites than in blacks, while RE is more likely to cause VL in blacks than whites. This may possibly be due to genetic factors or to socioeconomic factors governing access to medical care (and thus detection and treatment).
21
11%.
45
The cost of vision loss in Canada
F IGURE 2-18: P ROBABILITY OF DEVELOPING VL AFTER CONTRACTING SELECTED DISEASES , BY
ETHNICITY
100.0
90.0
80.0
70.0
60.0
50.0
40.0
30.0
20.0
10.0
0.0
White
Black
Hispanic
Other
Cataract Glaucoma DR RE/Other
Source: Derived from EDPRG (Congdon et al, 2004a) and US Census data.
AMD
As with the methodology for cataract, the relative risk of VL from a particular disease is compared between whites and each other group and a weighted average is developed using the population
weights for each group among the Canadian AVM total (Table 2 –29).
T ABLE 2 –29: R ELATIVE RISK OF VL BY EYE DISEASE , NON WHITES TO WHITES
Disease
A. AMD
B. Cataract
C. Glaucoma
D. RE/Other
Relative Risk
1.52
0.74
1.29
1.96
Source: Derived from previous tables and Canadian Census data.
To derive an age breakdown for the relative risks for the non-white population, data on prevalence of each disease were used from the Australian Bureau of Statistics (2006) and the Australian Institute
of Health and Welfare (2005) (Table 2 –30).
T ABLE 2 –30: P REVALENCE OF EYE DISEASES IN WHITES
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Age AMD
0.1%
0.3%
0.3%
0.8%
0.8%
1.1%
1.1%
3.7%
3.7%
6.3%
6.3%
Cataract
0.2%
0.5%
0.5%
1.5%
1.5%
5.1%
5.1%
13.2%
13.2%
19.9%
19.9%
Glaucoma
0.2%
0.8%
0.8%
1.3%
1.3%
2.4%
2.4%
6.3%
6.3%
7.2%
7.2%
RE/Other
43.9%
77.4%
77.4%
70.9%
70.9%
52.8%
52.8%
54.1%
54.1%
51.2%
51.2%
Source: Australian Bureau of Statistics (2006), Australian Institute of Health and Welfare (2005).
46
The cost of vision loss in Canada
Recall that the prevalence of VL in whites by cause was shown in Table 2 –16. Using that prevalence
and the prevalence of each disease (Table 2 –30) gives the fraction of VL caused by that disease
(Table 2 –31) for each five-year age cohort in the white population.
T ABLE 2 –31: F RACTION OF WHITES WITH EACH EYE DISEASE WHO HAVE VL, BY AGE AND GENDER (%)
Age
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
AMD
0.0%
0.0%
0.0%
7.4%
20.2%
45.4%
61.5%
100.0%
100.0%
Cataract
0.0%
0.0%
0.0%
5.5%
0.7%
3.2%
14.2%
17.9%
41.5%
43.8%
76.2%
Glaucoma
0.0%
0.0%
0.0%
0.0%
0.0%
6.7%
8.2%
5.4%
24.3%
18.3%
17.0%
Note: AMD prevalences in 85 years and older capped at 100%
Source: Congdon et al (2004a), Access Economics (2007).
RE/Other
2.0%
0.6%
2.0%
3.9%
3.9%
11.0%
13.1%
19.7%
26.0%
32.3%
20.1%
Combining the fractions in Table 2
–31 with the relative risks (non-white to white) from Table 2–29
leads to the prevalence of VL within disease groups in non-whites as per Table 2 –32.
T
ABLE
2 –32:
PREVALENCE OF
VL
WITHIN DISEASE GROUPS
,
NON
-
WHITES
40-44
Age
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
AMD
0.0%
0.0%
0.0%
10.5%
28.6%
64.4%
87.3%
100.0%
100.0%
Cataract
0.0%
0.0%
0.0%
4.1%
0.5%
2.3%
10.5%
13.2%
30.5%
32.2%
56.1%
Source: Derived from previous tables.
Glaucoma
0.0%
0.0%
0.0%
0.0%
0.0%
8.7%
10.6%
7.0%
31.2%
23.5%
21.8%
RE/Other
4.0%
1.1%
4.0%
7.7%
7.6%
21.5%
25.7%
38.6%
50.8%
63.3%
39.4%
Using this with the prevalence of eye disease in AVM from CCHS data (Table 2 –5) results in the
prevalence of VL from that disease (Table 2
47
The cost of vision loss in Canada
Males
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Females
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
T ABLE 2 –33: P REVALENCE OF VL IN AVM
AMD
AMD
0.00%
0.00%
0.00%
0.14%
0.53%
1.66%
3.13%
5.02%
5.02%
0.00%
0.00%
0.00%
0.11%
0.50%
1.85%
4.09%
7.55%
7.55%
Cataract
0.00%
0.00%
0.00%
0.18%
0.06%
0.31%
2.40%
2.11%
6.41%
6.76%
11.77%
Cataract
0.00%
0.00%
0.00%
0.14%
0.05%
0.49%
3.63%
4.85%
12.82%
13.52%
23.54%
Glaucoma RE/Other
0.00% 0.05%
0.00% 0.00%
0.00%
0.00%
0.00%
0.54%
1.01%
0.06%
0.27%
0.16%
1.22%
1.21%
0.40%
1.87%
1.41%
1.31%
1.96%
2.59%
3.22%
2.01%
Glaucoma RE/Other
0.00%
0.00%
0.00%
0.00%
0.00%
0.18%
0.33%
0.80%
0.92%
0.69%
0.64%
0.06%
0.02%
0.13%
0.47%
0.30%
0.39%
0.89%
2.48%
2.92%
3.63%
2.26%
2.3.5
IABETES AND
IN THE
POPULATION
The above methods cannot be fully used for DR in the Canadian AVM population, because the
CCHS does not report on the prevalence of DR in AVM. However, there are sufficient Canadian data from other sources to estimate age-gender prevalence of DR using an alternate methodology discussed in this section.
Data from various Canadian publications enable an estimate of VL from DR in the AVM population to be calculated directly (rather than having to rely on non-Canadian EDPRG data.) Statistics
Canada’s Health Report (Wilkins and Park, 1996) shows that the prevalence of VL among Canadian diabetics is 72% higher than in the general population. However, as Access Economics (2008c) notes, diabetics also have higher rates of cataract, glaucoma and macular edema, with the result that the prevalence of DR in diabetics is roughly equivalent to the combined prevalence of these three other diseases in diabetics. Thus, it was assumed that half of the increased rate of VL (36%) is due to DR (rather than the other three associated eye diseases). Increasing the 2005 CCHS
48
The cost of vision loss in Canada
T ABLE 2 –34: U NDER CORRECTED VL IN AVM
Age
20-24
25-34
35-44
45-54
55-64
65-74
75+
Male
1.3%
0.4%
0.6%
0.2%
1.7%
1.7%
3.7%
Female
1.0%
3.9%
1.4%
1.0%
3.1%
2.0%
4.7%
Source: Statistics Canada, CCHS public use microdata files.
T ABLE 2
–35:
P REVALENCE OF VL FROM DR WITHIN DIABETIC AVM GROUPS
Age Male Female
20-24
25-34
35-44
45-54
55-64
65-74
75+
1.8%
0.5%
0.8%
0.3%
2.3%
2.3%
5.0%
1.4%
5.3%
1.9%
1.3%
4.2%
2.8%
6.4%
Although the CCHS does not provide an estimate of diabetic prevalence in the AVM population,
ICES (Glazier et al, 2007) reports that rates of diabetes among First Nation groups in Ontario are among the highest in the world, and are some three times higher than for the rest of the population.
ICES also reports that diabetes in Ontario’s South Asian population is three times the general population. They also note the prevalence of diabetes in black Americans is twice as high as the general population, which might reasonably be assumed to apply also to black Canadians. Finally,
ICES reports that the prevalence of diabetes in Toronto neighbourhoods is strongly correlated with the percentage of the population from Visible Minorities. Taken together, Access Economics has conservatively assumed that the rate of diabetes in the AVM population is twice that of the white
population. Statistics Canada publishes rates of diabetes for the general population (Table 2 –4).
Doubling these rates thus yields an estimate of the prevalence of diabetes in the AVM population
T
ABLE
2 –36: P
REVALENCE OF DIABETES IN
AVM
POPULATION
, 2005 (%)
Age Male Female All
12-14
15-19
20-24
25-34
35-44
45-54
55-64
65-74
75+
Total
0.0%
0.6%
1.8%
0.0%
0.6%
1.4%
0.6%
0.6%
1.6%
1.8%
4.2%
2.4%
3.8%
2.2%
4.0%
10.0% 8.0% 9.0%
23.6% 17.0% 20.2%
34.6% 24.6% 29.2%
33.6% 26.2% 29.2%
10.6% 8.8% 9.8%
–4, and ICES (Glazier et al, 2007).
49
The cost of vision loss in Canada
20 to 24
25 to 34
35 to 44
45 to 54
55 to 64
65 to 74
75 and older
T ABLE 2 –37: E STIMATED PREVALENCE OF DRINDUCED VL IN AVM
Male
0.03%
0.01%
0.03%
0.03%
0.55%
0.80%
1.69%
Source: Derived from earlier tables.
Female
0.02%
0.13%
0.07%
0.11%
0.71%
0.68%
1.67%
2.3.6
UMMARY OF
IN
POPULATIONS
Combining the prevalence of VL from DR (Table 2 –37) with the prevalence estimates for the other
eye diseases (Table 2 –33) enables a completion of the estimates of VL by disease for the whole
AVM population (Table 2 –38). As noted above, the CCHS does not report VL by disease, only the
prevalence of the diseases. However, it does report the total number of AVM who have under-
corrected VL (Table 2 –34). Self-reported VL for AVM was 0.8% for males and 2.0% for females.
The estimates here, derived from ratios of diagnosed VL between races, are 0.5% for AVM males,
and 0.7% for AVM females (Table 2 –40).
50
Males
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Female
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
The cost of vision loss in Canada
T ABLE 2 –38: P REVALENCE OF VL IN AVM BY AGE , GENDER AND DISEASE
AMD
0.00%
0.00%
0.00%
0.11%
0.50%
1.85%
4.09%
7.55%
7.55%
Cataract
0.00%
0.00%
0.00%
0.18%
0.06%
0.31%
2.40%
2.11%
6.41%
6.76%
11.77%
DR
0.03%
0.03%
0.03%
0.55%
0.55%
0.80%
0.80%
1.69%
1.69%
1.69%
1.69%
Glaucoma
0.00%
0.00%
0.00%
0.00%
0.00%
0.54%
1.01%
0.40%
1.87%
1.41%
1.31%
RE/Other
0.05%
0.00%
0.06%
0.27%
0.16%
1.22%
1.21%
1.96%
2.59%
3.22%
2.01%
AMD
0.00%
0.00%
0.00%
0.14%
0.53%
1.66%
3.13%
5.02%
5.02%
Cataract
0.00%
0.00%
0.00%
0.14%
0.05%
0.49%
3.63%
4.85%
12.82%
13.52%
23.54%
DR
0.07%
0.11%
0.11%
0.71%
0.71%
0.68%
0.68%
1.67%
1.67%
1.67%
1.67%
Glaucoma
0.00%
0.00%
0.00%
0.00%
0.00%
0.18%
0.33%
0.80%
0.92%
0.69%
0.64%
RE/Other
0.06%
0.02%
0.13%
0.47%
0.30%
0.39%
0.89%
2.48%
2.92%
3.63%
2.26%
2.4
A variety of data sources were used to construct a model of Canadian VL by age, gender, ethnicity, severity and type. There was found to be little difference in the prevalence of visually impairing eye conditions among white populations in US, Australian and European population eye health studies, so these studies (Congdon et al, 2004a and CERA, 2005) were used to estimate the prevalence of
VL for white Canadians.
For AVM, self-reported data from the CCHS were used to estimate the prevalence of cataract, glaucoma and RE, with supplementation from Canadian academic studies and journal articles for
DR and AMD, since these conditions are not covered in the CCHS. DR was estimated from other
Canadian sources and AMD was estimated from the average prevalence rates for non-whites in the
US. The risk of VL within each disease for AVM was derived from the risk for non-whites in the US.
These data show that differences in the rates of VL from ‘disease x’ are related to differences in prevalence of that disease across ethnicities as well as differences in access to treatment and genetic factors that may affect progression of VL. Since the self-reported data do not distinguish between mild and medium levels of VL, the severity distribution is assumed to be the same for AVM as for whites (by disease).
In total, there were an estimated 816,951 Canadians with VL in 2007
Of this total, 780,534 (95.5%) were white and 36,417 (4.5%) were AVM.
RE / Other is the main source of VL for the white population (68% of the total), and cataract is the main cause of VL in AVM (36% of the total).
51
The cost of vision loss in Canada
For whites the second largest source of VL is cataract (15.5%) and, for the AVM population,
DR is the second largest source (24.5% of the total).
22
AVM have lower prevalence of VL for all diseases other than DR (Figure 2-19), largely due to
lower prevalence of eye diseases at equivalent ages to whites, a younger age profile, and less likelihood of developing VL once they have contracted a given eye disease.
T ABLE 2 –39: P REVALENCE OF VL, BY CAUSE AND ETHNICITY , 2007
All ethnicities White AVM
Number % total Number % total Number % total
AMD
Cataract
89,241 10.9% 84,641 10.8%
133,836 16.4% 120,685 15.5%
DR
Glaucoma
29,920
24,937
3.7%
3.1%
20,992
22,565
2.7%
2.9%
RE/Other 539,236 66.0% 531,650 68.1%
4,380 12.0%
13,151 36.1%
8,928 24.5%
2,373 6.5%
7,586 20.8%
All VL 817,171 100.0% 780,534 100.0% 36,417 100.0%
Note: For corresponding prevalence rates, see Table 2
F IGURE 2-19: P REVALENCE RATES OF VL, BY ETHNICITY AND CAUSE , 2007
3.5%
White AVM
3.0%
3.0%
2.5%
2.5%
2.0%
2.0%
1.6%
1.5%
1.0%
0.5%
0.0%
0.3%
0.3%
0.4%
0.1%
0.5%
0.1%
0.2%
0.1%
0.1%
0.1%
0.1%
0.0%
AMD Cataract
0.1%
DR Glaucoma RE/Other All VI
0.6%
Note: Estimates are raw prevalence rates, not age-standardised, so low AVM figures reflect low average age.
The prevalence of VL is projected to increase from 2.5% of the population in 2007 to 4.0% in 2032
(Figure 2-20). In terms of numbers of people, there are projected to be almost twice as many
22 As noted earlier, Canadian Aboriginals have some of the highest rates of diabetes in the world, and Asians have some three to six times the diabetes prevalence of whites.
52
The cost of vision loss in Canada
Canadians with VL in 25 years than in 2007, with VL from cataract, AMD and glaucoma all projected to increase by more than 100% over the next 25 years (114%, 113% and 117% respectively).
Detailed tables underlying the projections in this section may be found in Appendix B. Summaries
for 2007 are provided in Table 2
–40 through to Table 2–45 at the end of this section.
F IGURE 2-20: P REVALENCE OF VL, BY CAUSE , 2007-2032
4.5%
4.0%
3.5%
3.0%
2.5%
2.0%
1.5%
1.0%
0.5%
0.0%
All VI
Glaucoma
Cataracts
AMD
DR
RE/Other
VL affects women more than men (Figure 2-21), reflecting greater longevity in females now and in
the future. In 2007, females accounted for 58.4% of VL, by 2032, this will have fallen slightly to
56.3%.
53
The cost of vision loss in Canada
F IGURE 2-21: P REVALENCE OF VL BY GENDER , 2007 TO 2032
1,000
900
800
700
600
500
400
300
200
100
0
Males Females
2007 2010 2015 2020 2025 2032
group’s share of VL at the end of the projection period is smaller than their increase in population share (Figure 2-23). This is partly due to AVM having a considerably younger age profile than the white population. It is also due to the assumption that the Visible Minorities population – which is mostly growing through migration – is not aging over the forecast period
23 .
1,600
F IGURE 2-22: P ROJECTIONS OF VL, BY ETHNICITY , 2007 TO 2032
1,400
1,200
1,000
800
600
400
200
0
White
AVM
100,000
90,000
80,000
70,000
60,000
50,000
40,000
30,000
20,000
10,000
0
2007 2010 2015 2020 2025 2032
23 This assumption is necessary as Statistics Canada does not disaggregate its growth forecasts for Visible Minorities by age cohorts. However, it is plausible.
54
The cost of vision loss in Canada
4.8%
4.7%
4.6%
4.5%
4.4%
4.3%
4.2%
F IGURE 2-23: R ELATIVE SHARE OF TOTAL VL, BY ETHNICITY , 2007 TO 2032
5.1% 96%
5.0%
White
AVM
96%
4.9% 95%
95%
95%
95%
95%
95%
95%
95%
2007 2010 2015 2020 2025 2032
55
The cost of vision loss in Canada
T ABLE 2 –40: A LL VISION LOSS , BY AGE , GENDER AND ETHNICITY , 2007
Prevalent cases
Males White AVM Total
Prevalence rate
Males White AVM Total
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
All Males
Female
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
All
Females
All
Persons
Total
345
205
9,469
5,166
17,390
29,942
23,148
0
49
347
0
0
0
37,979
44,041
75,270
94,066
85,336
54,101
476,854
816,951
24
24
87
9,577
5,028
16,924
28,842
22,096
36,555
38,920
59,237
0
0
86
0
0
60,526
42,877
19,296
340,097
AVM
345
205
389
271
487
1,568
1,182
0
49
347
0
0
0
1,715
3,895
4,232
4,114
1,760
1,213
21,771
36,417
24
24
87
207
64
173
1,102
805
2,207
3,112
2,380
0
0
86
0
0
2,540
1,146
690
14,646
White
9,080
4,895
0
0
16,903
28,374
21,967
36,264
40,146
71,038
0
0
0
0
0
0
89,952
83,576
52,888
455,083
780,534
0
9,369
0
0
4,964
16,752
27,740
21,291
34,347
35,808
56,857
0
0
0
0
0
57,986
41,730
18,606
325,451
Female
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
All
Females
All
Persons
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
All Males
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
0.89%
0.43%
1.66%
2.99%
2.92%
6.38%
8.19%
15.51%
0.00%
0.00%
0.00%
0.00%
0.03%
0.01%
0.01%
0.03%
0.08%
0.03%
0.09%
0.99%
0.00%
0.00%
0.00%
0.00%
0.01%
0.00%
0.00%
0.01%
0.72%
0.37%
1.40%
2.78%
0.77%
2.98%
2.65%
5.97%
5.92% 7.94%
8.00% 14.95%
24.15% 16.65% 23.70%
36.04% 19.11% 34.75%
40.26% 28.81% 41.06%
2.5% 0.5% 2.1%
White
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.9%
0.4%
1.7%
3.0%
2.9%
6.4%
8.2%
15.5%
24.1%
36.0%
40.3%
3.4%
3.0%
AVM
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.1%
0.1%
0.1%
0.1%
0.2%
1.3%
1.1%
1.9%
6.1%
11.5%
21.5%
25.4%
31.0%
0.7%
0.6%
Total
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.7%
0.4%
1.4%
2.8%
2.7%
5.8%
7.9%
15.2%
24.0%
35.4%
40.6%
2.9%
2.5%
56
The cost of vision loss in Canada
Female
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
All
Females
All
Persons
T ABLE 2 –41: C ATARACT VISION LOSS , BY AGE , GENDER AND ETHNICITY , 2007
Prevalent cases
Males
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
White
3,173
8,692
13,186
10,086
7,010
783
78
873
0
0
0
0
0
0
0
0
0
0
0
AVM
1,261
626
978
375
334
198
63
229
0
0
0
0
0
0
0
0
0
0
0
Total
980
141
1,102
0
0
0
0
4,434
9,319
14,164
10,462
7,344
0
0
0
0
0
0
0
Prevalence rate
Males
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
White
0.0%
0.0%
0.0%
0.0%
0.1%
0.0%
0.2%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.7%
2.4%
5.5%
8.7%
15.2%
AVM
0.0%
0.0%
0.0%
0.0%
0.2%
0.1%
0.3%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
2.4%
2.1%
6.4%
6.3%
13.9%
All Males 43,882 4,063 47,945 All Males 0.3% 0.1%
White
0
801
0
0
80
921
3,557
10,860
20,455
20,201
19,927
0
0
0
0
0
0
0
0
76,803
120,685
AVM
0
166
0
0
58
450
2,334
1,791
2,458
969
861
0
0
0
0
0
0
0
0
9,088
13,151
Total
0
967
0
0
138
1,371
5,892
12,651
22,914
21,170
20,788
0
0
0
0
0
0
0
0
85,891
133,836
Female
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
All
Females
All
Persons
White
0.0%
0.0%
0.0%
0.0%
0.1%
0.0%
0.2%
0.7%
2.4%
5.5%
8.7%
15.2%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.6%
0.5%
AVM
0.0%
0.0%
0.0%
0.0%
0.1%
0.1%
0.5%
3.6%
4.9%
12.8%
14.0%
22.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.3%
0.2%
Total
0.0%
0.0%
0.0%
0.0%
0.1%
0.0%
0.2%
1.1%
2.6%
5.8%
8.8%
15.6%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.5%
0.4%
Total
0.0%
0.0%
0.0%
0.0%
0.1%
0.0%
0.2%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.9%
2.4%
5.5%
8.5%
15.6%
0.3%
57
The cost of vision loss in Canada
Female
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
All
Females
All
Persons
T ABLE 2 –42: DR VISION LOSS , BY AGE , GENDER AND ETHNICITY , 2007
Prevalent cases
Males
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
White
0
881
0
0
1,130
1,141
879
447
1,623
1,881
792
270
0
0
0
0
0
0
0
AVM
87
87
55
53
610
575
593
421
503
258
94
48
0
86
24
24
0
0
0
Total
87
87
55
933
1,740
1,717
1,472
869
2,125
2,138
886
318
0
86
24
24
0
0
0
Prevalence rate
Males
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
White
0.0%
0.0%
0.0%
0.1%
0.1%
0.2%
0.2%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.4%
0.8%
0.7%
0.6%
AVM
0.0%
0.0%
0.0%
0.0%
0.6%
0.6%
0.8%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.8%
1.7%
1.7%
1.6%
2.0%
All Males 9,043 3,517 12,560 All Males 0.1% 0.1%
White
889
1,155
0
0
1,177
928
502
2,028
2,917
1,586
768
0
0
0
0
0
0
0
0
11,950
20,992
AVM
206
232
224
842
794
616
435
49
347
345
205
0
0
0
0
616
320
120
61
5,411
8,928
Total
206
232
1,112
1,997
1,971
1,544
937
49
347
345
205
0
0
0
0
2,643
3,237
1,706
829
17,360
29,920
Female
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
All
Females
All
Persons
White
0.0%
0.0%
0.0%
0.1%
0.1%
0.2%
0.2%
0.1%
0.4%
0.8%
0.7%
0.6%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.1%
AVM
0.1%
0.1%
0.1%
0.1%
0.7%
0.7%
0.7%
0.7%
1.7%
1.7%
1.7%
1.6%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.1%
0.2%
0.1%
Total
0.0%
0.0%
0.0%
0.1%
0.2%
0.2%
0.2%
0.2%
0.5%
0.8%
0.7%
0.6%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.1%
Total
0.0%
0.0%
0.0%
0.1%
0.2%
0.2%
0.2%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.2%
0.5%
0.8%
0.7%
0.7%
0.1%
58
The cost of vision loss in Canada
Female
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
All
Females
All
Persons
T ABLE 2 –43: G LAUCOMA VISION LOSS , BY AGE , GENDER AND ETHNICITY , 2007
Prevalent cases
Males
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
White
879
1,246
3,643
1,533
568
0
885
0
0
0
0
0
0
0
0
0
0
0
0
AVM
0
0
402
0
0
0
0
532
118
285
78
37
0
0
0
0
0
0
0
Total
0
0
1,288
0
0
0
0
1,410
1,364
3,928
1,611
605
0
0
0
0
0
0
0
Prevalence rate
Males
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
White
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.2%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.2%
0.3%
1.5%
1.3%
1.2%
AVM
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.5%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
1.0%
0.4%
1.9%
1.3%
1.5%
All Males 8,753 1,453 10,206 All Males 0.1% 0.0%
White
0
935
985
0
0
0
0
1,556
5,651
3,069
1,615
0
0
0
0
0
0
0
0
13,812
22,565
AVM
0
164
209
0
0
0
0
297
177
50
24
0
0
0
0
0
0
0
0
920
2,373
Total
0
1,099
1,194
0
0
0
0
1,853
5,828
3,119
1,639
0
0
0
0
0
0
0
0
14,731
24,937
Female
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
All
Females
All
Persons
White
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.2%
0.2%
0.3%
1.5%
1.3%
1.2%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.1%
AVM
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.2%
0.3%
0.8%
0.9%
0.7%
0.6%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
Total
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.2%
0.2%
0.4%
1.5%
1.3%
1.2%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.1%
Total
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.2%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.3%
0.3%
1.5%
1.3%
1.3%
0.1%
59
The cost of vision loss in Canada
Female
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
All
Females
All
Persons
T ABLE 2 –44: AMD VISION LOSS , BY AGE , GENDER AND ETHNICITY , 2007
Prevalent cases
Males
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
White
436
968
6,236
5,537
0
0
10,157
5,996
0
0
0
0
0
0
0
0
0
0
0
AVM
0
83
264
551
624
420
214
0
0
0
0
0
0
0
0
0
0
0
0
Total
0
519
1,232
6,787
6,161
10,577
6,210
0
0
0
0
0
0
0
0
0
0
0
0
Prevalence rate
Males
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
White
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.2%
1.7%
2.3%
8.8%
13.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
AVM
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.5%
1.9%
4.1%
7.0%
8.9%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
All Males 29,330 2,156 31,486 All Males 0.2% 0.1%
White
0
461
1,085
7,791
8,590
20,342
17,043
0
0
0
0
0
0
0
0
0
0
0
0
55,311
84,641
AVM
0
128
341
611
600
360
184
0
0
0
0
0
0
0
0
0
0
0
0
2,225
4,380
Total
0
589
1,427
8,402
9,190
20,702
17,227
0
0
0
0
0
0
0
0
0
0
0
0
57,536
89,022
Female
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
All
Females
All
Persons
White
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.2%
1.7%
2.3%
8.8%
13.0%
0.4%
0.3%
AVM
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.5%
1.7%
3.1%
5.2%
4.7%
0.1%
0.1%
Total
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.3%
1.7%
2.3%
8.6%
12.9%
0.3%
0.3%
Total
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.3%
1.7%
2.4%
8.6%
13.2%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.2%
60
The cost of vision loss in Canada
Female
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
All
Females
All
Persons
T ABLE 2 –45: RE/O THER VISION LOSS , BY AGE , GENDER AND ETHNICITY , 2007
Prevalent cases
Males
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
White
9,369
4,964
0
0
15,871
25,828
20,072
31,274
0
0
0
0
0
0
30,341
39,060
33,739
19,163
4,762
AVM
0
120
9
120
294
167
900
634
582
395
179
57
0
0
0
0
0
0
0
Total
0
9,490
4,973
15,991
26,122
20,239
32,174
30,975
39,642
34,134
19,342
4,819
0
0
0
0
0
0
0
Prevalence rate
Males
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
White
0.0%
0.9%
0.4%
1.6%
2.8%
2.8%
5.8%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
6.9%
10.7%
14.0%
16.5%
10.3%
AVM
0.0%
0.0%
0.0%
0.1%
0.3%
0.2%
1.2%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
1.2%
2.0%
2.6%
3.0%
2.4%
All Males 234,443 3,457 237,900 All Males 1.8% 0.1%
White
9,080
4,895
16,015
26,418
20,709
33,020
34,017
48,803
52,338
38,378
13,535
0
0
0
0
0
0
0
0
297,207
531,650
AVM
184
39
263
560
330
358
575
917
559
260
83
0
0
0
0
0
0
0
0
4,129
7,586
Total
9,264
4,934
16,278
26,978
21,039
33,378
34,592
49,720
52,897
38,638
13,617
0
0
0
0
0
0
0
0
301,336
539,236
Female
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
All
Females
All
Persons
White
0.0%
0.9%
0.4%
1.6%
2.8%
2.8%
5.8%
6.9%
10.7%
14.0%
16.5%
10.3%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
2.2%
2.0%
AVM
0.0%
0.1%
0.0%
0.1%
0.5%
0.3%
0.4%
0.9%
2.5%
2.9%
3.8%
2.1%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.1%
0.1%
Total
0.0%
0.7%
0.4%
1.3%
2.5%
2.4%
5.1%
6.2%
10.0%
13.5%
16.0%
10.2%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
1.8%
1.6%
Total
0.0%
0.7%
0.4%
1.3%
2.5%
2.4%
5.3%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
6.3%
10.0%
13.4%
15.7%
10.3%
1.5%
61
The cost of vision loss in Canada
3.
After ascertaining the prevalence of VL from the various eye disorders, costs to the Canadian economy can be calculated. Financial costs included direct health system expenditure (medicines, surgery, lenses, and so on) and indirect costs (for example, lower levels of employment for visually impaired people and time spent by caregivers for people with VL).
While available data from Canada are not sufficient t o uniformly adopt a ‘top-down’ approach (that is, national expenditure on all forms of treatment for visually impairing eye conditions
) or ‘bottom-up’ estimates (known costs and quantities of specific eye care procedures), using a combination approach enables a reasonable estimate of total health system expenditure.
3.1
The Canadian Institute for Health Information (CIHI) tracks health expenditure on its National Health
Expenditure (NHEX) database, including expenditure on ‘vision care’. The vision care category includes expenditures for the professional services of optometrists and dispensing opticians, as well as expenditures for eyeglasses and contact lenses. Expenditure on vision care was nearly
$3.5 billion in 2007 24
, representing 2.2% (Figure 3-1) of all health system expenditure ($160.1 billion
in 2007).
F
IGURE
3-1: C
ANADIAN HEALTH SYSTEM EXPENDITURE
, 2007 (%
OF TOTAL
)
Other Health Spending
6.1%
Administration
3.6%
Public Health
5.8% Hospitals
28.4%
Capital
4.6%
Drugs
16.8%
Other Institutions
10.4%
Other Professional Services
8.6%
Vision Care
2.2%
Physicians
13.4%
Source: CIHI NHEX.
Apart from differentiating the services of particular types of health professionals (eg, optometrists), the NHEX does not divide expenditure by disease category.
24 Expenditure for 2007 ($3,483m) was still a provisional forecast at time of drafting.
62
The cost of vision loss in Canada
Expenditure on health care in Canada has been growing rapidly – considerably faster than Gross
Domestic Product. After adjusting for inflation, health care spending grew at an average annual real rate of 3.8% between 1975 and 1991, by 0.8% per annum from 1991 to 1996 and by 5.1% from
1996 to 2003. However, expenditure on vision care has risen even faster, rising from 1.8% of the
total in 1975 to 2.2% in 2007 (Figure 3-2).
F IGURE 3-2: E XPENDITURE ON VISION CARE , C ANADA , 1975-2007
10,000 1,000,000
100,000
1,000
Vision Care
Services
Total
10,000
100 1,000
Source: CIHI NHEX.
NHEX data from earlier years (before 2007) provides more detail than are currently available for
2007. Total health system expenditure reported by the NHEX for Canada was $141.2 billion in 2005.
The majority of this, $99.1 billion (or 70.1%) was publicly funded, with the remaining $42.2 billion
(29.9%) privately funded.
The NHEX reports that in 2005, nearly all Canadian public expenditure (93.6%) came from
Provincial and Territory governments. Only 4.3% came from the Federal Government, with municipal go vernments and worker’s compensation funds comprising the remaining 2.1%.
Households accounted for the majority (58.1%) of total private expenditure on health care in Canada in 2005. Private health insurance entities constituted 29.2%, and ‘other’ (including hospital nonpatient revenue, capital expenditures for privately owned facilities and health research) made up the remaining 12.7%.
Expenditure on vision care totalled $3.19 billion in 2005. In 2003 when the total was $2.64 billion, the NHEX showed that private spending on vision care in Canada was $2.44 billion, whereas public spending only amounted to $200 million. Of private expenditure, households contributed
$1.91 billion and private health insurance $0.53 million.
3.2
While ‘vision care’ is only a small component of overall health system expenditure on visually impairing conditions, it can be supplemented from other sources. In a number of cases, detailed
63
The cost of vision loss in Canada information about the costs of certain eye procedures are available. Less frequently, numbers of eye procedures performed are also available. Where both are available, ‘bottom up’ calculations of expenditure can be estimated.
CIHI’s National Grouping System (NGS) attempts to provide reasonably comparable and consistent statistics on the utilization, cost and distribution of physicians’ services for which payment was made on a fee-for-service basis by provincial and territorial medical care insurance plans. CIHI (2007)
data on eye examinations and cataract surgery summed to around $144 million in 2004-05 (Table
3 –1). Assuming expenditure on these procedures has risen by the same amount as total health
system expenditure, this figure would have risen to $153 million by 2007.
T ABLE 3 –1: T OTAL EXPENDITURE ON CERTAIN EYE PROCEDURES , 2004-05
Procedure
Eye Examinations
Cataract Surgery
Total
Number
373,148
284,523
657,671
Average $/case
$41.44
$452.30
$219.15
Expenditure $m
$15.5
$128.7
$144.2
Source: CIHI (2007). Note $/case is derived from the other two columns.
Additionally, some partial information is available on drug expenditure from Health Canada (2002a)
The Economic Burden of Illness in Canada 1998 . Drug expenditure on two categories of eye disorders
– glaucoma and conjunctiva disorders – totalled $143.2 million in 1998 (Table 3–2). Given
the NHEX shows expenditure on drugs has increased by 214% since then, proportionally, this figure
in 2007 would be $307 million (Table 3 –3).
T ABLE 3 –2: D RUG EXPENDITURE ON NERVOUS SYSTEM AND SENSE ORGAN DISORDERS , 1998
$m
Disorder
Glaucoma
Conjunctiva disorders
Ear infections
Parkinson’s disease
Other nervous system and sense organ disorders
Sub-total for nervous system and sense organ disorders
54.7
88.5
92.7
24.1
276.4
536.4
Total for all diseases 12,385.2
Source: Health Canada (2002a).
Health Canada (2002a) gives a breakdown of the ICD10 block ‘Nervous System and Sense Organ
Disorders’, of which vision conditions are a major component. Unfortunately Health Canada were
unable to supply more detailed data than as provided in Table 3 –3, to isolate the vision component.
T
ABLE
3 –3: E
XPENDITURE ON NERVOUS SYSTEM AND SENSE ORGAN DISORDERS
(1998)
Hospital Care
Drugs
Physician Care
Research
Total
$m % of total health system expenditure
1,425.6
536.4*
824.8
35.7
2,822.5
5.20%
4.30%
7.10%
0.20%
3.36%
Source: Health Canada (2002a). * Matches the Table 3-2 sub-total.
64
The cost of vision loss in Canada
CIHI (2005) Exploring the 70/30 Split: How Canada’s Health System is Financed , provides quite detailed information on the costs of a selected range of hospital procedures. The only procedure listed there relevant to VL – ‘Retinal procedures’ – averaged $2,538 in 2003 (around half the cost of most procedures). Charts in the same document show that these costs can be broken down to
provincial level. The CIHI website shows a casemix spreadsheet with the following reporting (Table
3 –4) of eye operations by volume in 2000-01. This, together with the above data on cost of retinal
procedures, allows an estimate of the cost and quantity of retinal procedures (4,126 cases in
2000/01). A more detailed breakdown of hospital expenditures is not possible.
T ABLE 3 –4: F REQUENCY OF SELECTED HOSPITAL PROCEDURES (2001) 25
Case Mix Description Volume FY00/01
Retinal procedures
Orbital procedures
Lens insertion
Other ophthalmic dx
Major eye infections
Other intraocular procedures
Other ophthalmic proc
Extraocular procedures
Iris and lens procedures
Hyphema
4,126
2,889
1,284
1,134
847
715
492
289
110
95
Source: CIHI secure.cihi.ca/cihiweb/en/downloads/Casemix_ICDimpact_AppA_CMG_02_03.xls
For specialist consultations, data on Medicare rebates are available for some provinces. Rebates for ophthalmological procedures from the Ontario Ministry of Health and LongTerm Care’s
Schedule of Benefits for Physician Services 2006
are shown in Table 3 –5. However, for these data
to be useful there is also a need to know the numbers of each procedure performed.
T ABLE 3 –5: R EBATES FOR CERTAIN OPHTHALMOLOGICAL PROCEDURES IN O NTARIO (2006)
Ophthalmological Listing Cost ($)
A235 Consultation
A935 Special surgical consultation (see General Preamble GP17)
A236 Repeat consultation
A233 Specific assessment
A234 Partial assessment
A237 Periodic Oculo-visual Assessment
A115 Major eye examination
A230 Orthoptic assessment
A250 Retinopathy of prematurity assessment
A252 Initial vision rehabilitation assessment
A251 Special ophthalmologic assessment
Source: Ontario Ministry of Health and LongTerm Care’s Schedule of Benefits for Physician Services 2006 .
71.30
132.50
45.85
42.15
22.45
42.15
42.15
25.00
120.00
240.00
120.00
25 COS advise that it is ‘totally unbelievable’ that there are four times as many retinal procedures as lens insertions (and in
Australia it is more like the other way round). Accordingly, information from this table is regarded as unreliable and not utilized for final costings. It is still included, however, as part of the census of information available from official sources in
Canada.
65
The cost of vision loss in Canada
Cruess et al (2007) provide a comprehensive coverage of the average costs involved in treating
AMD
in Canada (Table 3 –6), which can be used with prevalence data to estimate the total cost of
AMD.
Treatment
T ABLE 3 –6: A VERAGE TREATMENT COSTS FOR NEOVASCULAR AMD (2005)
Cost ($)
Verteporfin, one eye only
Simultaneous verteporfin treatment, both eyes
Intravitreal coriscosteroids, per eye
Photodynamic therapy with intravitreal steroid injection
Source: Cruess et al (2007).
$2,112
$2,266
$183
$308
Ray et al (2005) provide costs for both cataract surgery and retinal laser treatment for DR in
Canada of $1,323 and $709 in 2003. Interestingly, these procedures were substantially less expensive in Canada than the same operations in Australia - $2,061 and $2,237 respectively.
26
Iskedjian et al (2003) conducted an Ontario-based costing analysis of glaucoma in Canada and estimated the total cost of procedures associated with the treatment of glaucoma to be $344 for mild, $420 for moderate, and $511 for severe forms of glaucoma in 2001. These estimates included the cost of the procedure itself, physician’s fee, assistant’s fee, and the anaesthetist’s fee. Costs associated with hospital resources and medications were not included.
3.3
3.3.1
EALTH SYSTEM EXPENDITURE
TOP DOWN
This top down estimate relies primarily on two sources: Health Canada’s 2002 publication The
Economic Burden of Illness in Canada 1998 and CIHI’s
National Health Expenditure Database
(NHEX), and is calculated as outlined below.
Total health system expenditure in 2007 was $160.1 billion dollars. Expenditure on
‘nervous system and sense disorders
’ in 1998 was 3.36% (from Table 3–3) of health system
expenditure (Health Canada, 2002a). However, health system expenditure as defined in this source only covers hospitals, physicians, drugs and research. Assuming nervous system and sense disorders are also responsible for the same ratio (3.36%) of the total health system expenditure reported for 2007 by the NHEX ($160.1 billion) then total health system expenditure on nervous system and sense disorders in 2007 would be $5.38 billion. This provides an upper limit on expenditure on VL (for the above categories).
Health Canada (2002a) does not provide any further breakdowns, except for drugs (Table 3 –
2). Within drugs there are a number of subcategories that can be attributable to VL (noting that the category ‘other’ accounts for the majority of expenditure). Specifically, expenditure on glaucoma and conjunctiva disorders can be attributed to VL, ear infections to other sense organ disorders, and Parkinson ’s to nervous system disorders. Thus represented, VL accounts for 55.1% of such drug expenditure as it is able to be attributed to separately identified categories; other sense organ disorders (ear infections) account for 35.7% and nervous system disorders (Parkinson’s) account for 9.3%. It is assumed that expenditure in
‘other’ would have the same distribution between these identifiable categories.
26 In the original article, all costs were in Euros, converted to Canadian dollars at then prevailing exchange rates.
66
The cost of vision loss in Canada
Assuming that, if VL accounts for 55.1% of all drug expenditure on ‘nervous system and sense disorders ’ then VL would also account for the same proportion of health system expenditure on nervous system and sense disorders, and 55.1% of $5.38 billion equals $2.97 billion. This provides an upper limit for VL expenditure under the hospital, research, physicians and drug categories.
The NHEX also provides explicit expenditure for the professional services category under
‘Vision Care’,
27 which includes optometrists, ophthalmologists, glasses and contact lenses, of
$3.48 billion. Adding vision care to the $5.38 billion estimate of expenditure on hospitals, physicians, drugs and research yields a total of $6.45 billion in 2007.
The NHEX further shows that expenditure on ‘Other institutions’ is composed of nursing homes (90%) and mental institutions (10%). Access Economics (2006) calculated that 3.0% of US nursing home patients had been institutionalized due to VL. Thus, 2.7% (=3.0% * 90%) of the total ‘other institutions’ of $16.7 billion (NHEX) is estimated to be due to VL, or
$448.8 million.
This still leaves an amount to be calculated for public health, administration, capital, and other expenditure ‘not elsewhere classified’. These categories collectively account for 20% of total
health system expenditure (Figure 3-1). Thus, given the categories already calculated account
for 80% of health system expenditure, these remaining categories are equivalent to a quarter of those already calculated (=20% / 80%), or $1.7 billion
Thus, a top down estimate of health system expenditure on VL in Canada for 2007 is
$8.64 billion.
T ABLE 3
–7:
E STIMATED VL HEALTH SYSTEM EXPENDITURE ( TOP DOWN ), 2007
Type of cost Total ($m)
Hospital
Physicians
Pharmaceuticals
Vision Care (optometry, ophthalmology and lenses)
Research
Other Institutions
Other (capital, public health, administration, other institutions and professional services)
Total
1,497.7
866.5
563.5
3,483.7
37.5
444.8
1,740.3
$8,637.9
3.3.2
EALTH SYSTEM EXPENDITURE
BOTTOM UP
For a bottom up approach, estimates were undertaken for each of the five major eye diseases, either for total expenditure, or by the categories covered under the top-down approach, but for each individual disease.
For AMD, Cruess et al (2008) estimated the total to society of AMD in Canada was $1.12 billion in
2005. For the average patient, medical costs accounted for over three quarters of this figure
(76.7%) and non-medical costs (primarily aids, equipment and carers) the remainder (23.3%).
Subtracting non-medical costs proportionally leaves health system expenditure of $858.7 million. As
27 For total health system expenditure, the NHEX divides Professional Services is divided into two subcategories ‘Vision
Care’ and ‘Other’.
67
The cost of vision loss in Canada these estimates apply to 2005, allowing for cumulative inflationary increases of 4.7% yields a total for 2007 health system expenditure of $898.9 million .
For RE , given this is the only form of VL correctable by lenses, the assumption was made most of the NHEX category ‘vision care’ would be attributable to RE. Conversely, it was also assumed that
RE required little in the way of hospital care, physicians, drugs or the other categories in Table 3 –7.
Thus, expenditure on RE would be around $3.48 billion .
For glaucoma , following the methodology adopted in the top-down approach, the ratio of glaucoma drug expenditure to total nervous drug expenditure (10.2
%) was assumed to hold for glaucoma’s share of total ‘nervous system and sense organ disorders’ health system expenditure. Nervous system and sense disorders in turn were (3.36%) of total health system expenditure. This yields a total of $549 million for glaucoma.
Total expenditure on cataract surgery is estimated at $136.6 million, taking the $128.7 million in
2004-05 from Table 3 –1 and allowing for inflation to 2007. Assuming that most such surgery takes
place in hospitals, then given hospitals account for 28.4% of total health system expenditure, if the same ratio holds for cataract, total health system expenditure for cataract would be $481 million.
For diabetic retinopathy (DR) , given there is only one frequency of procedure number, which COS advise is not plausible, costs are assumed to be the same as the average for the other diseases
($6,875 per person per year), which for the total of 29,920 people with VL from DR, gives a total of
$205.71 million.
Thus, estimating from the bottom up, total health system expenditure on VL was $5.62 billion in
Canada in 2007. As with the top-down estimate, this figure needs to be scaled up to account for factors such as capital expenditure, research, public health and other unallocated health expenditure. For consistency, the same mark-up (25.2%) is used, giving a total bottom-up estimate of $7.04 billion.
3.3.2.1 S UMMARY
The bottom-up estimate above is around 18.5% lower than the top-down estimate derived earlier.
Most of this difference would be due to the fact that the bottom-up estimate only includes the ‘big five ’ eye diseases (cataract, DR, glaucoma, AMD, RE). For example, Maberley et al (2006) in their study of VL in one Canadian city found that 12% of VL was caused by visual pathway disease
(which is not included in the bottom up estimates).
Accordingly, while Access Economics has a preference to err on the side of caution, in this case the top-down estimate is considered more reliable. Thus the total cost of VL-related health expenditure in Canada is estimated as $8,637.9 million in 2007 . This equates to $10,570 per person with VL per annum.
68
The cost of vision loss in Canada
4.
In addition to health system costs, VL also imposes a number of other important financial costs on society and the economy, including the following.
Productivity losses of people with VL comprise those from lower employment participation, absenteeism and/or premature mortality.
Carer costs comprise the value of care services provided in the community primarily by informal carers and not captured in health system costs.
Other costs comprise the cost of aids, home modifications and other pertinent financial costs not captured elsewhere.
Transfer costs comprise the deadweight loss (DWL) associated with government transfers such as taxation revenue forgone, welfare and disability payments.
It is important to make the economic distinction between real and transfer costs.
Real costs use up real resources, such as capital or labour, or reduce the econ omy’s overall capacity to produce goods and services.
Transfer payments involve payments from one economic agent to another that do not use up real resources eg, a disability support pension or taxation revenue.
Data on other financial costs are drawn from a variety of sources eg, the literature (focusing on
Canadian literature but sometimes supplemented by other international material).
4.1
Productivity losses are the cost of production that is lost when people with VL are unable to work because of the condition. They may work less than they otherwise would (either being employed less, being absent more often or being less productive while at work) or they may die prematurely.
This represents a real cost to the Canadian economy. Access Economics adopts a human capital approach to measurement of productivity losses in developed countries.
4.1.1
MPLOYMENT PARTICIPATION
Some insight into the employment impact of VL is provided by CNIB (2005). A survey of people living with vision loss found that the employment rate among those of working age was only 24.7% compared to 67.6% for the general population of the same age (Table 4
–2). The chances of being employed are thus almost two-thirds (64%) lower for someone who is visually impaired. In addition to 24.7% who were employed, 49.2% listed themselves as unemployed, while the remaining 26.1% were ‘retired’ or ‘other’ and are assumed to be not participating in the labour force. Thus, of those actively participating in the labour force, 67% of people with VL describe themselves as unemployed. Of those who were employed, 63% were working full time, but only 29% had a permanent position. Alternate data from the 2001 PALS indicates that the employment rate among those with VL was 32%. Given the PALS survey has a larger sample size than the CNIB survey, the former is preferred. On PALS data, people with VL are around half as likely to be employed as those with full sight (53% lower).
This reduced employment result was then combined with employment rates for each respective agegender group (Table 4 –2) to calculate, from the number of people with VL in that age group, how many would be unemployed. The lost productivity for those unemployed due to VL was then
69
The cost of vision loss in Canada
Age
15-19
20-24
25-34
35-44
45-54
55-59
60-64
65+
Total measured by the average weekly earnings (AWE) of $855.06 that they would have otherwise been earning (Table 4 –1).
28
T ABLE 4 –1: E STIMATED AWE, BY AGE AND GENDER , 2007
Male Female Persons
$264.49
$576.08
$926.61
$926.61
$1,096.00
$1,096.00
$1,095.09
$1,095.09
$1,036.21
$192.03
$493.65
$686.58
$686.58
$670.28
$670.28
$681.15
$681.15
$645.82
$227.35
$537.13
$817.92
$817.92
$897.63
$897.63
$890.38
$890.38
$855.06
Source: Derived from Statistics Canada Employment, Earnings and Hours, Cat No 72-002-XIB.
T ABLE 4 –2:
PERCENTAGE OF POPULATION EMPLOYED , BY AGE AND GENDER
Age Male Female
15-19 years
20-24 years
25-34 years
35-44 years
45-54 years
55-64 years
45%
73%
86%
88%
85%
64%
49%
70%
78%
79%
78%
51%
Source: Statistics Canada, Labor force characteristics by age and sex http://www40.statcan.ca/l01/cst01/labor20a.htm
The annual cost of lost earnings due to reduced employment is thus estimated as
$4.06 billion in 2007.
4.1.2
BSENTEEISM FROM PAID AND UNPAID WORK
In addition to workforce separation, people with VL may be absent from work more often as a result of their impairment. Our literature search was unable to locate published works on such absenteeism rates for people with VL in Canada.
However, Access Economics (2006) calculated (from the National Health Interview Survey-Disability data set) that in the US, VL was shown to result in an additional 4.1 days off work per annum. This estimate could also be applied to Canada, noting it is small ($155 per person with VL) relative to the productivity cost associated with lower workforce participation.
In cases of absenteeism, employers often choose to make up lost production through overtime employment of another employee that attracts a premium on the ordinary wage. The overtime premium represents lost employer profits. On the other hand, the overtime premium also indicates how much an employer is willing to pay to maintain the same level of production. Thus, if overtime employment is not used, the overtime premium also represents lost employer profits due to lost
28 As Statistics Canada does not break down AWE for each age-gender group, these were estimated from the distribution
in Australia, due to the similarities (see footnote 11).
70
The cost of vision loss in Canada production. While productivity remains at the same level, the distribution of income between wages and profits changes 29 . For this study it is assumed that the overtime rate is 40% 30 .
According to traditional microeconomic theory (in particular the work of Gary Becker in the 1960s), people will work until they are indifferent between the marginal value of the income earned relative to the personal value of the time sacrificed that could be used for unpaid domestic work or leisure.
However no-one else tends to value the individual's leisure similarly. The typical approach to overcome this problem is to value leisure time at a discounted proportion of earnings which takes into account taxes that reduce the effective income from work and restrictions on the amount of time that can be used for work (for both biological and governmental regulation reasons). Access
Economics assumes that visually impaired people incur the same loss of time from unpaid work
(‘leisure’) as from paid work, but that the value of this time is 30% of paid work.
Based on these parameters and the AWE for each age-gender group, Access
Economics estimates that in 2007, the total cost of absenteeism due to VL is
$231.7 million . Of this, $22.8 million is the workplace absenteeism cost borne by the employee, $122.5 million is the workplace absenteeism cost borne by the employer, and
$86.5 million is the value of absenteeism from unpaid work.
4.1.3
RESENTEEISM
VL can also affect a person’s ability to work effectively while at work. Presenteeism can be estimated by multiplying the number of days worked with VL by the percentage reduction in effectiveness on days worked with VL. Workers with VL must have productivity reasonably close to their sighted counterparts; otherwise they would not continue to be employed. With the right equipment, they should be just as productive as anyone else. However, the CNIB survey found that around three-quarters (73.8%) of workers with VL indicated that their workplace was taking some measures to accommodate them; mostly in the form of adapted equipment, flexible scheduling and modified responsibilities. Around a quarter (23.5%) indicated that they did not receive job accommodation measures that they needed, with the greatest unmet need being for adaptive computers. Daum et al (2004) in a study of productivity and visual status in the US found that vision loss reduced productivity in the workforce by between 2.5% and 28.9%. Taking a simple average of an 15.7% reduction in productivity, and applying this to the 23.5% of VL workers without proper equipment, yields an estimated overall lower productivity for VL workers of 3.7%.
Such a low level of productivity highlights the significant impact of VL on employment outcomes.
Given these results, Access Economics estimates that in 2007, the total cost of
‘presenteeism’ (lower productivity while at work) due to VL is $133.9 million
.
29 While the opportunity cost of any overtime employment of another employee is implicitly taken into account through the overtime premium, this methodology does not allow for the choice to use salaried or part-time employees to make up the production at ordinary or no additional wage costs. However given that workers are assumed to value their leisure time at
30% of their earnings, the difference in estimated economic costs if this choice is taken into account would be small – the only difference would be that ‘society’ would incur these costs rather than the ‘employer’.
30 Based on the lower bound of workplace injuries literature - NOHSC assumed an overtime rate of 40% (Access
Economics 2004b).
71
The cost of vision loss in Canada
4.1.4
REMATURE MORTALITY
The production loss arising from premature mortality associated with VL through falls and depression is calculated as the expected remaining lifetime earnings multiplied by the number of people who died prematurely who would otherwise have been employed. As discussed in Section
5.2.2, the estimated number of deaths due to VL is 313. Since most (98%) of these deaths are in
the 75+ age group where employment rates are low, lifetime earnings lost are not large.
The estimated annual cost due to lost productivity from premature death due to
VL is $3.4 million in 2007 .
Premature death also leads to additional search and hiring costs for replacement workers. These are estimated as the number of people with VL who die prematurely (by age and gender) multiplied by their chance of being employed multiplied by the search and hiring cost brought forward three years (the search and hiring cost is estimated as 26 weeks at AWE and the three year bring forward reflects average staff turnover rates). Since premature mortality costs are very low, these costs are tiny.
In 2007, additional search and hiring costs are estimated at only $9,040 for people with VL , based on the present value of bringing forward three years of average cost of staff turnover (26 weeks at AWE).
4.1.5
UNERAL COSTS
The ‘additional’ cost of funerals borne by family and friends of people with VL is based on the additional likelihood of death associated with VL in the period that the person experiences it.
However, some people (particularly older people) would have died during this time anyway.
Eventually everyone must die and thus incur funeral expenses – so the true cost is the cost brought forward (adjusted for the likelihood of dying anyway in a given year). The most recent official data on funeral costs from are from 1991 (Statistics Canada, 1998), at which point an average funeral cost around $3,510. Updating this to allow for inflation to 2007 yields a current cost of $4,301. (This roughly accords with the figure from the Australian Bureau of Transport and Road Economics
(2000), which after allowing for inflation and conversion to Canadian dollars, equates to $3,541.)
The bring forward of funeral costs associated with premature death for people with VL is estimated at around $1.1 million in 2007.
4.2
Lost taxation revenue is considered a transfer payment, rather than an economic cost. However, raising additional taxation revenue does impose real efficiency costs on the Canadian economy, known as DWLs. Besides the cost of administering the taxation system costs, DWLs arise from the distortionary impact of taxes on workers’ work and consumption choices.
4.2.1
OST TAXATION REVENUE
Reduced earnings due to reduced workforce participation, absenteeism and premature death will also have an effect on taxation revenue collected by Canadian Governments. As well as forgone income (personal) taxation, there will also be a fall in indirect (consumption) tax, as those with lower incomes spend less on the consumption of goods and services.
72
The cost of vision loss in Canada
Personal income tax forgone is a product of the average personal income tax rate and the forgone income. With VL and lower income, there will be less consumption of goods and services, estimated up to the level of the disability pension. Without VL, it is assumed that consumption would comprise (on average) virtually all household income - based on Statistics Canada reports that
Canadians only save 3% of their income (Chawla and Wannell, 2005). The indirect tax forgone is estimated as a product of the forgone consumption and the average indirect tax rate.
The (Federal) Canadian Goods and Services Tax (GST) rate is 5%, however most Provinces also levy separate sales taxes. In fact in Canada there are three types of sales taxes: provincial sales taxes or PST, the federal Goods and Services Tax or GST, and the Harmonized Sales Tax or HST.
Every province except Alberta implements a Provincial Sales Tax or HST. The Yukon Territory,
Northwest Territories and Nunavut do not have any type of regional sales tax.
The HST is used in certain provinces to combine the federal GST and the PST into a single, blended, sales tax. Currently, there is a 13% HST in the provinces of New Brunswick,
Newfoundland, and Nova Scotia. The HST is collected by the Canada Revenue Agency, which then remits the appropriate amounts to the participating provinces.
Separate PST are collected in the provinces of British Columbia, Saskatchewan, Manitoba, Ontario,
Quebec, and Prince Edward Island. Goods to which the tax is applied vary by province, as do the rates. Moreover, for those provinces whose provincial sales tax is applied to the combined cost and
GST, provincial revenues decline or increase with respective changes in the GST.
T ABLE 4
–3:
P ROVINCIAL SALES TAXES
Province
Alberta
British Columbia
Saskatchewan
Manitoba
Ontario
Quebec
Prince Edward Island
Rate Notes
0
7%
5%
7%
8%
7.5%
10%
Alcohol 10%
Alcohol 10%
Lodging 5%
Alcohol and entertainment at restaurants 10%
Alcohol at retail stores 12%
Also applied to Federal GST, so effectively 7.875%
Also applied to Federal GST, so effectively 10.5%
Source: www.taxtips.ca
From these sources it is possible to estimate taxation revenue forgone due to VL. Both Federal and
Provincial direct taxes have progressive rates. For a Canadian on the average income of $40,082, total Federal income tax would be $6,166 at an average rate of 15.4%. Given the multiplicity of
Provincial direct taxes, Quebec was chosen as being representative as it has one of the largest populations and its tax rates are roughly mid range. A Quebecois on an income of $40,082 would pay $2,551 in direct taxes at an average tax rate of 6.4%. These average taxation rates are sourced from the Canadian Revenue Authority.
For indirect taxes, although Federal GST is 5%, the numerous Provincial indirect taxes (Table 4 –3)
mean that, again, Quebec is selected as a representative Province, with its effective indirect tax of
7.875%.
Personal income tax forgone is then calculated as the product of the average personal income tax rate (21.8%) and the forgone income. With VL and lower income, there will be less consumption of goods and services, with the indirect taxation rate estimated as 12.9%.
73
The cost of vision loss in Canada
Around $1.75 billion in lost potential tax revenue is estimated to be incurred in
2007 , due to the reduced productivity of people with VL.
Lost taxation revenue is considered a transfer payment, rather than an economic cost per se.
4.2.2
OCIAL SECURITY PAYMENTS
The CNIB (2005) study on the needs of blind or visually impaired people briefly covered their sources of income.
The CNIB study encompassed 352 adult client participants nation-wide with VL. Of these, 61% were female (213), and 39% were male (139), while 57% of adult participants were working age (21 –64), and 43% were seniors (65+).
The most frequent source of income for all adult client participants was some form of government income supplement program (federal or provincial). However, unsurprisingly there were age related differences in the programs that were providing benefits. The vast majority of senior participants reported receiving a federal pension (91%), compared to only 26% of working age participants. Conversely, 41% of working age participants reported receiving provincial disability benefits, compared to only 6% of seniors. Income from employment was low overall (12% for all adult consumer participants), and again age made a difference. Of working age participants 24% reported income from employment or self-employment, compared to 2% of seniors. Seniors were more likely to report receiving a private pension
(31%) than were working age participants (8%). Table 4 –4 provides an overview of income
sources for adult participants.
Income Source
Federal pension*
T ABLE 4 –4: I NCOME SOURCES (CNIB)
All
54%
Working Age
26%
Seniors
91%
Provincial disability benefits
Private pension
Private income
Employment
Spousal support
Self-employment
Family support
Other
26%
18%
13%
12%
8%
4%
2.3%
8%
41%
8%
8%
19%
9.5%
5.4%
3%
8%
* Federal pensions included Old Age Pension, Disability Pension, and Veterans Pension.
Source: CNIB (2005).
6%
31%
19%
1%
5%
1.3%
1.3%
8%
Publicly available data exist for social security spending and recipients in Canada – reported by
Human Resources and Social Development Canada as part of its Social Security Statistics Canada and Provinces 1978-79 to 2002-03 .
31 Selected payments that people with VL may access are
presented in Table 4 –5 – these data refer to aggregate payments to all recipients rather than
payments to people with VL only.
31 See: http://www.hrsdc.gc.ca/en/cs/sp/sdc/socpol/tables/page02.shtml
(accessed Wednesday 6 February, 2008).
74
The cost of vision loss in Canada
T ABLE 4 –5: VLRELATED SOCIAL SECURITY PAYMENTS AND BENEFICIARIES
Old age security
Veterans' and civilians' disability pensions
Canada and Quebec pension plans
Employment assistance for persons with disabilities
Provincial welfare programs
Total payments
($000)
20,464,192
1,473,118
3,330,019
378,318
20,552,751
Beneficiaries
(number) $/beneficiary
3,941,039
164,805
340,116
5,193
8,939
9,791
Total 46,198,398
Source: Human Resources and Social Development Canada, Social Security Statistics Canada and Provinces 1978-79 to
2002-03.
The data from Table 4 –5 can be used to calculate the excess number of people with VL who receive
payment relative to population norms. These excess usage rates can then be multiplied by the average payment rates to estimate the social security payments for people with VL.
CNIB (2005) did not include unemployment benefits as a source of income for the visually impaired. Presumably then, working age people with VL are either employed or on disability pension.
T ABLE 4
–6:
E XCESS USAGE OF SOCIAL SECURITY PAYMENTS
Income Source Working
Age
Usage % of total population
Excess usage
VL working age pop
VL who get benefit
Pop who get benefit
%
Attributable to VL
Federal pension*
Provincial disability benefits
26%
41%
2%
8%
24.4%
32.8%
209,122 54,372 504,921
209,122 85,740 2,577,363
10.8%
3.3%
4.2.3
EADWEIGHT LOSSES
The welfare payments calculated immediately above are, like taxation revenue losses, not themselves economic costs but rather a financial transfer from taxpayers to the income support recipients. The real resource cost of these transfer payments is only the associated DWL.
DWLs refer to the costs of administering welfare pensions and raising additional taxation revenues.
For any given fiscal position, invalid and sickness benefits must be financed through taxation.
Although welfare payments and forgone taxation are not real costs (so should not be included in the estimation of total costs), it is still worthwhile estimating them as that helps us understand how the total costs of VL are shared between the taxpayer, the individual and other financiers.
DWL is the loss of consumer and producer surplus, as a result of the imposition of a distortion to the equilibrium (society preferred) level of output and prices. Taxes alter the price and quantity of goods sold compared to what they would be if the market were not distorted, and thus lead to some
diminution in the value of trade between buyers and sellers that would otherwise be enjoyed (Figure
75
The cost of vision loss in Canada
F IGURE 4-1: DWL OF TAXATION
Price ($)
Price plus Tax
Taxation Revenue
Price
Deadweight Loss (cost of raising taxation revenue)
Supply
Demand
Output
Actual Quantity
Supplied
Potential Quantity
Supplied
Usher (2002) estimates the DWL of raising revenue in Canada at 20.2%.
Access Economics estimates that around $1.75 billion in DWL is incurred in 2007 , due to the additional taxation required to replace that forgone due to lost productivity of people with VL and welfare payments. Of this, $1.2 billion is a result of the governmentfinanced component of health system expenditures, $348 million is due to taxation revenue forgone and $185 million is due to welfare expenditures.
4.3
Carers are people who provide informal care to others in need of assistance or support. Most informal carers are family or friends of the person receiving care. Carers may take time off work to accompany people with VL to medical appointments, stay with them in hospital, or care for them at home. Carers may also take time off work to undertake many of the unpaid tasks that the person with VL would do if they did not have VL and were able to do these tasks.
A recent study focusing on AMD only rather than overall VL calculated the burden of neovascular
AMD in the Canadian population (Cruess et al, 2007). This cross-sectional, observational analysis was conducted in relation to self-reported functional health, wellbeing and disease burden among elderly subjects in Canada with (n=67) and without (n=99) neovascular AMD.
Subjects with neovascular AMD reported significantly worse vision-related functioning and overall wellbeing than controls (adjusted mean scores on the NEI-VFQ-25 32 : 48.0 vs. 87.5) and significantly more depression symptoms than controls (Hospital Anxiety and Depression Scale:
5.8 vs. 4.3). The annual neovascular AMD cost per patient was $11,334, which is over eight
32 National Eye Institute Visual Functioning Questionnaire (25 questions). See, for example, http://www.nei.nih.gov/resources/visionfunction/vfq_ia.pdf
76
The cost of vision loss in Canada times that of elderly subjects without neovascular AMD ($1,412). Over half of the neovascular
AMD costs were direct medical costs.
Subjects with neovascular AMD also reported more than twice the need for assistance with daily activities compared with controls (19% vs. 9%). This allows us to calculate the excess care required by people with AMD relative to the rest of the population – by taking the difference between the two figures.
F IGURE 4-2: C OMPARISON OF ASSISTANCE WITH ACTIVITIES OF DAILY LIVING BETWEEN STUDY GROUPS
19%
Neovascular AMD Control group
13%
9%
4%
3%
2%
5%
1%
3%
4% 4%
5%
0%
2%
Daily activities overall
Home care Other transportation
Administrative tasks
Self care Transportation for health care
Leisure activities
Source: Cruess et al (2007).
Cruess et al (2007) also reported unit costs for non-medical related costs of AMD with data sourced from the Canadian Management Information Systems database. These data relate to people with
AMD only rather than people with VL as a whole.
The main unit cost categories were direct vision-related medical costs, direct non vision-related medical costs, and direct non-medical costs (living in government-sponsored assisted living facilities, assistance received for daily activities, and social benefits received). Given that other health-related costs data sources have already been identified in this study (see Sections 3 and 4), the most useful data from Cruess et al (2007) related to the non-medical costs.
After collecting the unit costs, annual utilisation costs were then calculated by multiplying the number of units consumed by the unit cost. Overall, people with AMD had much higher non-medical costs ($2,553.25) which included home care/living assistance compared to the control group
($601.02).
T
ABLE
4 –7: A
NNUAL DIRECT
AMD
NON
-
MEDICAL RELATED UTILISATION COSTS PER PERSON
(2005$)
Direct non medical related utilisation costs per person
Total living situation related costs
Total costs of assistance for daily activities received
Total
Source: Cruess et al (2007).
AMD Control
$240.68 $0.00
$2,312.57 $601.02
$2,553.25 $601.02
77
The cost of vision loss in Canada
Cruess (2007) provides an overview of carer costs for AMD ($2,553.25 per person per annum) and for an age-matched control group ($601.02). Thus, the difference between the two groups
($1,952.23 pa) is the cost of care that is specific to AMD. Access Economics has assumed that additional care is not due to having a particular eye disease as such, so much as to the VL caused by that disease. AMD’s disability weight (0.235) is 1.6 times higher than the average disability weight across all eye diseases (0.145). So, factoring down, the expected care costs for people with
VL – above their fully sighted counterparts – would be $1,208.99 per person per year. Thus, for the total visually impaired population of 0.82 million, annual carer costs attributable to VL is
$0.63 billion.
Rehabilitation and library costs
According to CNIB, the cost of provision of rehabilitation services for people with vision loss in 2007 was $32.8 million. In addition, the cost of special library services for people with vision loss was
$7.4 million. Only 23% of these funds are provided by government. The rest is provided by support from the public.
Also, there are two other significant organizations providing services in Quebec – the Institut
Nazareth et Louis Braille and MAB-Mackay (the Montreal Association for the Blind and the Mackay
Rehabilitation Centre). Financial information from most recent annual reports on their websites 33 suggests costs relating to these organisations are estimated as $12.8 million and $8.8 million respectively in 2007.
In total, the rehabilitation and library costs are estimated as $61.8 million and total cost of care is estimated as $0.693 billion.
4.4
People who are visually impaired or blind require a variety of devices, special equipment and home modifications to function adequately and to enhance their quality of life.
The greater need for devices and home modifications due to VL and blindness has been established in international studies (for example, Brezin, 2005; Access Economics, 2004a).
In the Australian study, the cost of devices and modifications was estimated as A$318 to
A$571 per visually impaired person on average in 2004. The French study estimated only additional utilization, not costs.
Two sets of supports are provided for people with low vision and those who are blind because of the different needs of these two populations. For people who are blind, support primarily involves assistance using non-visual sensory data. For those with low vision, supports primarily involve magnifying or enlarging, brightening and enhancing contrast in visual displays or cues.
CNIB is the primary source for devices for the visually impaired and, as a result, prices reported are from CNIB price lists for the period 2000-01, weighted by the number of items sold of each of the brands/models available. Volumes of sales were reported in the December 2003 Price Survey of
Assistive Devices and Supports for Persons with Disabilities produced by the Department of Human
Resources and Social Development.
33 http://www.mab.ca/ and http://www.inlb.qc.ca/apropos/ra2006-2007.aspx#s11
78
The cost of vision loss in Canada
These data are inflated to 2007 by Consumer Price Inflation and population growth. They provide a good indication of the types of aids and modifications used, as well as the volume in which they are used across Canada and their price.
4.4.1
ANES AND ACCESSORIES
Two different brands/types of canes were priced —a mobility (way-finding) cane and a support cane.
Each is available in three identically priced models. In 2000, 1,278 canes were sold at an average price of $21.78.
The mobility cane folds, comes with a rubber tip grip bottom, handle and connecting elastics.
The average price for the 626 mobility canes sold was $20.00.
The support cane is made of moulded plastic, has a height adjustment and a rubber tip grip bottom. A total of 652 of these were purchased at an average price of $23.50. These types of cane can also be used by some people with mobility limitations.
In addition, three frequently purchased accessories were priced.
Replacement cane elastics for the folding mobility canes —163 were purchased at a price of
$0.30 each.
Roller tips used for some types of mobility canes (the cane slides on a ball bearing allowing continuous contact with the ground, providing an alternative method for way finding —a sweeping motion rather than the more common tapping motion) —163 of these were purchased at $11.00 each.
Flip-up ice spikes which replace grip bottoms on support canes —166 were purchased at a price of $8.80 each.
T ABLE 4
–8:
C ANES / ACCESSORIES FOR THE BLIND (2000-01$)
Product Number sold per year
Average price
Cost per year (in
2000-01)
Canes
Way Finding Canes
Support Canes
Accessories
1,278 $21.78 $27,834.84
626 $20.00 $12,520.00
652 $23.50 $15,322.00
163 $0.30 $48.90
For Way finding Canes:
Replacement cane plastics
Roller Tips
For Support Canes:
163 $11.00 $1,793.00
Ice Spikes (flip-up)
Sub total
166
1,770
$8.80 $1,460.80 n/a $31,144.70
Note: Numbers may not sum exactly due to rounding.
4.4.2
RITING AIDS
STATIONERY
Writing and reading for the blind primarily uses the Braille system of embossed dot patterns. Braille embossers are devices designed to produce Braille writing on paper. They can be as simple as slates/frames and stylus or manual, Braille typewriters such as the Perkins Brailler. However, there are also more advanced computerized brailing devices such as the Mountbatten Brailler. There are also high speed computer Braille printers.
79
The cost of vision loss in Canada
4.4.2.1 B RAILLE S LATES /F RAMES AND S TYLUSES
Braille slates/frames and stylus systems are used to manually emboss Braille dots. Braille slates are part of a frame such that a two-line slate can be stepped down a page with a hinge system to give a whole page of Braille. Plastic slates are lighter than metal ones but tend to have a lower life expectancy. Frames without hinges only work with a fixed size of paper, but are very popular as a highly portable note-taking device.
The stylus handle design significantly affects ease of use. The easier to use, large handle styluses, however, are less convenient to carry.
The weighted average price of the 16 slates commonly purchased at CNIB is $56.61. A total of 790 basic four-line plastic slates were sold at $6.50. However, this was the minimum price slate
– and prices varied to a maximum of $158.50 for a 28-line, full page, heavy duty metal slate.
The average price of the six CNIB styluses available at CNIB is $6.00. The ‘Erasable’ stylus is priced at $21.50.
4.4.2.2 B RAILLE T YPEWRITERS
The average price of the five manual Perkins Braillers sold at CNIB is $1,393.20. The electric
Perkins Brailler is priced at $1,750.
4.4.2.3 N OTE TAKERS
Note takers are computerized devices which have either standard or Braille-input keyboards. They usually have built-in speech output and/or Braille displays. They may be either palmtop or laptop devices. Standard-key note takers are used by persons with vision impairment, Braille note takers by persons who are blind.
Common features that come with note takers include word processing, diary, telephone directory, database and communications functions, and plugs which allow the user to connect peripheral devices such as printers, modems and Braille embossers.
The note taker available at CNIB provides a Braille-input keyboard and Braille display/computer output at a price of $5,365.
4.4.2.4 C OMMON S TATIONERY
Three types of Braille paper were priced. Each is rawhide tag manila and regular weight, and contains approximately 250 sheets per package. The average price paid for 1,094 purchases of the best selling Braille paper was $24.34.
In addition, CNIB sells a number of Braille calendars. In 2000-01, 532 were sold at a price of $2.00.
80
The cost of vision loss in Canada
T ABLE 4 –9: W RITING AND STATIONERY ITEMS (2000-01$)
Product
Braille Paper (250 sheet package)
8.5 x 11 inches
11 x 11 inches
Computer paper, 12.5 x 11 Cerlox
Number sold per year
Average price
Cost per year (in
2000-01)
1,094 $24.34 $26,627.96
560 $14.25 $7,980.00
322 $17.75 $5,715.50
212 $61.00 $12,932.00
Embossing Sheets
Braille Calendar
1,319
532
$3.00 $3,957.00
$2.00 $1,064.00
Total 2,945 n/a $36,783.50
Note: Numbers may not sum exactly due to rounding.
4.4.3
ARIABLE SPEED TAPE RECORDERS
A total of 12 cassette recorders were available from CNIB at an average price of $263.33. Prices varied from a minimum of $62.50 for a portable to $528.50 for a large, desk-top model. Most prices were near or at the overall average.
4.4.4
OMPUTER VOICE SYNTHESIZER SOFTWARE
Five types of common computer software used by people who are blind are available from CNIB.
Three of these convert data from either a file or a screen display to voice.
The average price of this software was $1,328.33. Two also included scanning capacity and convert written documents to computer files, as well as providing a voice synthesizer. The average price of these two packages was $1,795. These software packages can also be used with electronic Braille display systems (see next sub-section).
4.4.5
LECTRONIC
RAILLE DISPLAY SYSTEMS
An electronic Braille display system is a device designed to present computer screen text as Braille.
A Braille display uses a series of electronic ‘pins’, which are either in the up or down position. Text on the screen is displayed as Braille through the pattern of up and down pins. Braille displays make excellent computer access devices for Braille-literate persons but are very expensive. The model available at CNIB is priced at $18,708.
4.4.6
ALKING TIME PIECES
Three types of time pieces were priced —talking clocks, wrist watches and a talking key chain. All prices include batteries.
A total of 1,406 talking clocks were purchased in 2000 at an average price of $20.65. The cost of the four different devices ranged from a low of $14.95 to a high of $28.50.
In 2000, a total of 4,650 talking wrist watches were purchased, at an average price of $19.24. Four different brands were commonly sold, varying from a price of $9.00 to a high of $65.00. Price varies considerably with watch style and features. For example, the more expensive watches have a gold or silver casing and choice of alarm sounds, while the lower range watches are encased in plastic.
81
The cost of vision loss in Canada
Talking time-keeping key chains cost an average of $11.00 and in 2000, 1,652 were sold.
T ABLE 4 –10: T ALKING TIME PIECES (2000-01$)
Product Number sold per year
Average price
Cost per year
(in 2000-01)
Talking clocks
Talking wrist watches
Talking key chain
Total
1,278
4,650
1,652
$21.78
$19.24
$11.00
$27,834.84
$89,466.00
$18,172.00
7,580 n/a $135,472.84
Note: Numbers may not sum exactly due to rounding.
4.4.7
UNGLASSES WITH NON
CORRECTIVE LENSES
A total of 4,570 regular sunglasses were sold by CNIB in 2000 at an average price of $12.35.
Sunglasses with UV protection were most popular. A total of 3,544 pairs were sold in 2000 at an average price of $13.00. The remaining 631 pairs of regular sunglasses were sold at $8.00.
T
ABLE
4 –11: S
UNGLASSES WITH NON
-
CORRECTIVE LENSES
(2000-01$)
Product Number sold per year
Average price
Cost per year
(in 2000-01)
Sunglasses with UV protection
Regular sunglasses
Total
3,544 $13.00
631 $8.00
4,175 n/a
$46,072.00
$5,048.00
$51,120.00
4.4.8
AND HELD MAGNIFIERS
Magnifiers vary in strength and can come with small lights or ‘illuminators’. The average price of the
4,531 magnifiers sold in the year 2000 by CNIB was $33.70. At one end of the spectrum in this group are simply-designed, light, plastic magnifiers, which are priced in the $9.50-$14.50 range. At the other end are more solidly built models with glass lenses and/or illuminators, which are priced in the $43.50 to $50.00 range.
Magnifying sheets were also priced. These are plastic covers that fit over and magnify book or newspaper pages. A total of 2,180 sheets were sold in 2000 at a price of $2.20.
T ABLE 4
–12:
H AND HELD MAGNIFIERS (2000-01$)
Product Number sold Average per year price
Cost per year (in 2000-01)
Magnifiers/hand readers
Total
4,521 $33.70
4,521 n/a
$152,357.70
$152,357.70
4.4.9
IDEO MAGNIFIERS
S
Screen magnifiers enlarge what is displayed on a computer monitor so people with vision problems can read the text on the screen. Closed Circuit Televisions (CCTVs) are devices that use a camera
82
The cost of vision loss in Canada to magnify printed text and images placed under it. These are then presented enlarged on a television screen or computer monitor.
CNIB has two electronic video magnifiers that connect to an ordinary TV. The black and white only magnifier is priced at $1,119, while the colour model costs $1,499. CNIB also has a number of full
CCTV systems, which include the monitor and TV screen and which can be connected to a computer. The average price of the black and white CCTVs offered is $2,875 and the colour CCTVs have an average price of $4,348.
4.4.10
CREEN MAGNIFICATION SOFTWARE
Screen magnification software significantly enlarges screen text and graphics to a size that a vision impaired users can easily view. CNIB offers two such products at an average price of $814.50
4.4.11
THER AIDS FOR THE SIGHT IMPAIRED
4.4.11.1 S TATIONERY
Three different writing pads with bolded lines were priced. These pads include 100 white sheets of black thick lined writing paper. In total, 1,200 pads were purchased in 2000, each at $3.80. In addition, 10,829 large print calendars were purchased at a price of $2.00.
T ABLE 4 –13: O THER STATIONERY (2000-01$)
Product Number sold per year
Average price
Cost per year
(in 2000-01)
Writing pads
Large print calendars
Total
1,200
10,829
12,029
$3.80 $4,560.00
$2.00 $21,658.00 n/a $26,218.00
4.4.11.2 L ARGE BUTTON TELEPHONES
Two prices for large button telephones with high sales volumes were obtained from CNIB price list.
The first model phone also has speaker phone capacity. A total of 244 of these phones were sold in
2000 at a price of $33.00.
The second phone provides features for persons who are also hearing impaired
—a hearing aid attachment and an adjustable very loud ringer. In 2000, 226 of these were sold at $70.00.
83
The cost of vision loss in Canada
T ABLE 4 –14: L ARGE BUTTON TELEPHONES (2000-01$)
Product Number sold per year
Average price
Cost per year
(in 2000-01)
Phone with speaker phone capacity
Phone for hearing impaired
Total
244 $33.00 $8,052.00
226 $70.00 $15,820.00
470 n/a $23,872.00
4.4.12
UMMARY OF AIDS AND DEVICES
Overall, available CNIB data on prices and volumes show that there was around $456,968.74 spent
on vision impairment-related aids and devices (Table 4
–15) in 2000-01. In today’s dollars that would
equate to around $524,046.72 (after inflating by the Consumer Price Index).
84
The cost of vision loss in Canada
T ABLE 4 –15: S UMMARY OF AIDS AND DEVICES (2000-01$)
Product Number sold per year
Average price
Cost per year
(in 2000-01)
Canes
Way Finding Canes
Support Canes
Accessories for Way Finding Canes
Replacement cane plastics
Roller Tips
Accessories for Support Canes
Ice Spikes (flip-up)
Sub total
1,278 $21.78
626 $20.00
652 $23.50
163
166
1,770
$0.30
163 $11.00
$8.80 n/a
790 $6.50 Braille slates
Braille Paper (250 sheet package)
8.5 x 11 inches
11 x 11 inches
Computer paper, 12.5 x 11
Cerlox
Embossing Sheets
Braille Calendar
Sub total
1,094
560 $14.25
322 $17.75
212
1,319
532
$24.34
$61.00
$3.00
$2.00
Talking clocks
Talking Wrist Watches
Talking Key Chain
Sub total
Magnifiers/Hand Readers
3.5-4.4X magnifier
5X –11X magnifier w/light
Sub total
Sunglasses with UV protection
Regular sunglasses
Sub total
Writing pads
Large print calendars
Sub total
Phone with speaker phone capacity
Phone for hearing impaired
Sub total
$27,834.84
$12,520.00
$15,322.00
$48.90
$1,793.00
$1,460.80
$31,144.70
$5,135.00
$26,627.96
$7,980.00
$5,715.50
$12,932.00
$3,957.00
$1,064.00
2,945 n/a $36,783.50
1,278 $21.78
4,650 $19.24
$27,834.84
$89,466.00
1,652 $11.00
7,580
$18,172.00 n/a $135,472.84
4,521 $33.70
1,514 $32.52
1,076 $43.50
$152,357.70
$49,235.28
$46,806.00
4,521 n/a $152,357.70
3,544 $13.00
631 $8.00
4,175 n/a
1,200
10,829
12,029
$3.80
$2.00 n/a
244 $33.00
226 $70.00
470 n/a
$46,072.00
$5,048.00
$51,120.00
$4,560.00
$21,658.00
$26,218.00
$8,052.00
$15,820.00
$23,872.00
Total $456,968.74
The above data are supplemented by estimates of volumes data on: Braille slates/frames and styluses; Braille typewriters; note takers; variable speed tape recorders; computer voice synthesiser
85
The cost of vision loss in Canada software; electronic Braille display systems; video magnifiers/CCTVs; and screen magnification software. Volume data were estimated by using US usage per person data from Access Economics
(2006).
These additional devices added $15.1 million for CNIB clients, resulting in an overall total for CNIB aids and modifications of $15.6 million.
T ABLE 4 –16: E STIMATES OF ADDITIONAL AIDS AND DEVICES
Product Number sold per year
Average price
Cost per year
(in 2000-01)
Stylus
Erasable stylus
Braille typewriter
Note takers
Variable speed tape recorders
Computer voice synthesisers
Electronic Braille display systems
Video magnifiers (black and white)
CCTVs (black and white)
Screen magnification software
Total
Total (inflated to 2007$)
281
281
281
281
835
835
835
835
6
21.5
1750
5365
835 263.33
281 1328.33
18708
$5,012
$17,959
$1,461,742
$4,481,282
$219,955
$372,977
$5,252,954
1119
2875
$314,200
$807,261
814.5 $228,701
$13,162,042
$15,094,084
Using an active CNIB client base of 42,000 people this translates to $371.86 per person with VL.
4.5
Multiplying this by the number of people with VL gives us a total cost of aids and modifications of $303.9 million . This cost has been allocated equally between individuals, family and friends, government, employment and society / other (health insurance entities).
In total, the non-health related financial costs of VL are estimated to be around
$7.1 billion in 2007 .
T ABLE 4 –17: S UMMARY OF OTHER FINANCIAL COSTS OF VL, 2007
Productivity costs
Carer costs
Aids and modifications, funerals
DWL
Total other financial costs
$ million
4431
693
305
,1,757
7,186
86
The cost of vision loss in Canada
5.
The main cost of VL is the loss of wellbeing and quality of life that it entails. Access Economics adopts ‘burden of disease’ methodology in order to quantify this substantial cost component. This methodology was developed by the World Health Organization, the World Bank and Harvard
University to comprehensively measure mortality and disability from diseases, injuries and risk factors in 1990, projected to 2020 (Murray and Lopez, 1996). The approach is non-financial, where pain, suffering and premature mortality are measured in terms of Disability Adjusted Life Years
(DALYs), with 0 representing a year of perfect health and 1 representing death (the converse of a
QALY or ‘quality-adjusted life year’ where 1 represents perfect health). The DALY approach has been successful in avoiding the subjectivity of individual valuation and is capable of overcoming the problem of comparability between individuals and between nations. This report treats the value of a life year as equal throughout the lifespan.
5.1
5.1.1
EASURING BURDEN
S
S AND
S
In the last decade a non-financial approach to valuing human life has been derived, where loss of wellbeing and premature mortality – called the ‘burden of disease and injury’ – are measured in terms of Disability Adjusted Life Years, or DALYs. This approach was developed by the World
Health Organization (WHO), the World Bank and Harvard University for a study that provided a comprehensive assessment of mortality and disability from diseases, injuries and risk factors in
1990, projected to 2020 (Murray and Lopez, 1996). Methods and data sources are detailed further in
Murray et al (2001) and the WHO continues to revisit the estimates for later years.
A DALY of 0 represents a year of perfect health, while a DALY of 1 represents death. Other health states are attributed values between 0 and 1 as assessed by experts on the basis of literature and other evidence of the quality of life in relative health states. For example, the disability weight of 0.18 for a broken wrist can be interpreted as losing 18% of a person’s quality of life relative to perfect health, because of the inflicted injury. Total DALYs lost from a condition are the sum of the mortality and morbidity components – the Year(s) of Life Lost due to premature death (YLLs) and the Year(s) of healthy life Lost due to Disability (YLDs).
The DALY approach has been successful in avoiding the subjectivity of individual valuation and is capable of overcoming the problem of comparability between individuals and between nations, although some nations have subsequently adopted variations in weighting systems, for example age-weighting for older people. This report treats the value of a life year as equal throughout the lifespan.
As these approaches are not financial, they are not directly comparable with most other cost and benefit measures. In public policy making, it is often desirable to apply a monetary conversion to ascertain the cost of an injury, disease or fatality or the value of a preventive health intervention, for example, in cost benefit analysis. Such financial conversions tend to utilise ‘willingness to pay’ or risk-based labour market studies as described in the next section.
5.1.2
ILLINGNESS TO PAY AND THE VALUE OF A STATISTICAL LIFE YEAR
The burden of disease as measured in DALYs can be converted into a dollar figure using an estimate of the Value of a ‘Statistical’ Life (VSL). As the name suggests, the VSL is an estimate of the value society plac es on an anonymous life. Since Schelling’s (1968) discussion of the
87
The cost of vision loss in Canada economics of life saving, the economic literature has focused on willingness to pay (WTP) – or, conversely, willingness to accept (WTA) – measures of mortality and morbidity, in order to develop estimates of the VSL.
Estimates may be derived from observing people’s choices in situations where they rank or trade off various states of wellbeing (loss or gain) either against each other or for dollar amounts eg, stated choice models of people’s WTP for interventions that enhance health or WTA poorer health outcomes or the risk of such states. Alternatively, risk studies use evidence of market trade-offs between risk and money, including numerous labour market and other studies (such as installing smoke detectors, wearing seatbelts or bike helmets and so on).
The extensive literature in this field mostly uses econometric analysis to value mortality risk and the
‘hedonic wage’ by estimating compensating differentials for on-the-job risk exposure in labour markets; in other words, determining what dollar amount would be accepted by an individual to induce him/her to increase the probability of death or morbidity by a particular percentage. Viscusi and Aldy (2002), in a summary of mortality studies, find the VSL ranges between US$4 million and
US$9 million with a median of US$7 million (in year 2000 US dollars), similar but marginally higher than the VSL derived from studies of US product and housing markets. They also review a parallel literature on the implicit value of the risk of non-fatal injuries.
Weaknesses in the WTP approach, as with human capital approaches to valuing life and wellbeing, are that there can be substantial variation between individuals. Extraneous influences in labour markets such as imperfect information, income/wealth or power asymmetries can cause difficulty in correctly perceiving the risk or in negotiating an acceptably higher wage in wage-risk trade off studies, for example.
As DALYs are enumerated in years of life rather than in whole lives it is necessary to calculate the
Value of a ‘Statistical’ Life Year (VSLY) based on the VSL. This is done using the formula: 34
VSLY = VSL / Σ i=0,…,n-1
(1+r) i
Where: n = years of remaining life, and
r = discount rate.
Clearly there is a need to know n (the years of remaining life), and to determine an appropriate value for r (the discount rate). There is a substantial body of literature, which often provides conflicting advice, on the appropriate mechanism by which costs should be discounted over time, properly taking into account risks, inflation, positive time preference and expected productivity gains. In reviewing the literature, Access Economics (2008) found the most common rate used to discount healthy life was 3%, perhaps the most eminent sources being Nordhaus, 2002 (Yale); Murphy and
Topel, 2005 (University of Chicago); Cutler and Richardson, 1998 (Harvard); WHO, 2002; Aldy and
Viscusi, 2006). This report assumes a discount rate for future streams of health in Canada of 3%.
Further it is assumed that on average people have 40 years of life remaining.
35
34 The formula is derived from the definition:
VSL = ΣVSLYi/(1+r)^ i where i=0,1,2….n where VSLY is assumed to be constant (i.e. no variation with age).
35 This assumption relates to the average years of life remaining for people included in VSL studies, not the years of life remaining for people with VL.
88
The cost of vision loss in Canada
Access Economics (2008a) identified 16 Canadian VSL studies (Table 5 –1). Converting the study
findings into 2007 Canadian dollars, the average of VSL estimates was $4.66 million 36 . A discount rate of 3% was applied to calculate the 2007 Canadian VSLY at $195,837.
Authors
Belhadji
Meng and
Smith
Transport
Canada
Krupnick et al.
T ABLE 5 –1: V ALUE OF A STATISTICAL LIFE IN C ANADIAN STUDIES ($ MILLION )
Year Currency
1994 CAD
Study Area
Lowest estimate
Highest estimate
Single/ average estimate
1.2
VSL in
2007
$CAN
1.6
1990 USD
Transport
Occupational
Risk 1.2 2.1
1996 USD
2000 CAD
Transport 0.4 3.2 1.8
2.5
2.7
2.9
Viscusi
Alberini et al.
Alberini et al.
Meng and
Smith
Hara
Associates
Miller
Martinello and Meng
Dionne and
Lanoie
2005 USD
2002 USD
2002 USD
1999 USD
2000 USD
2000 USD
1992 USD
2002 CAD
Health
Occupational
Risk
Occupational
Risk
Occupational
Risk
Occupational
Risk
Health
Mixed
Occupational
Risk
3.9
0.5
1.3
1.7
2.1
4.7
0.9
3.7
5.7
3.1
2.4
2.4
2.4
2.4
2.4
2.5
3.1
4.7
3.0
3.3
3.3
3.4
3.5
3.6
5.1
5.3
Meng
Vodden et al.
Cousineau et al.
Bellavance et al.
Average
1989 USD
1994 CAD
1991 USD
2007 USD
Mixed
Occupational
Risk
Occupational
Risk
Occupational
Risk
Mixed
4.0
6.1
4.8
9.2
7.6
7.9
8.0
11.2
4.7
5.2
5.2.1
ISABILITY WEIGHTS
Disability weights for mild, moderate and severe VL are based on the Dutch weights from the global burden of disease study (Murray and Lopez, 1996). These are:
36 Figures converted to $2007 Canadian using OECD Purchasing Power Parity rates. One additional study (Lanoie et al,
1995) was rejected as an outlier beyond reasonable parameters, given its VSL estimate was $37.5 million.
89
The cost of vision loss in Canada
0.020 for mild VL;
0.170 for moderate impairment; and
0.430 for severe impairment (blindness).
for Canada, these individual disease distributions were weighted by their overall prevalence. This yields an average disability weighting for Canadian VL of 0.093.
The burden of disease is thus calculated on a prevalence basis from the prevalence estimates from
Section 2.4, together with disability weights, for the year 2007.
5.2.2
EATHS FROM
The Australian Institute of Health and Welfare (Begg et al, 2007) estimates that in Australia in 2003, the visually impaired population numbered 510,761, and that the number of deaths due to that VL was 163. Given the number of visually impaired persons in Canada in 2007 is 817,171 on a pro-rata basis, the expected number of deaths caused by VL was 261.
5.2.3
EARS OF LIFE LOST DUE TO DISABILITY
Based on the disability weight outlined above and the total number of people experiencing VL, the
YLD for VL has been calculated by gender (Table 5 –2), for the year 2007.
In total, YLD for VL was an estimated 75,891 DALYs in 2007.
T
ABLE
5 –2: E
STIMATED YEARS OF HEALTHY LIFE LOST DUE TO DISABILITY
(YLD), 2007 (DALY
S
)
Estimated disability weight Prevalence YLD
Males
Females
0.093
0.093
340,097
476,854
31,572
44,268
5.2.4
EARS OF LIFE LOST DUE TO PREMATURE DEATH
Based on the relative risk of mortality due to VL outlined above, it is estimated that there are around
261 deaths per year due to VL . YLL were estimated from the age-gender distribution of deaths by the corresponding YLL for the age of death in the Standard Life Expectancy Table (West Level 26) with a discount rate of 3% and no age weighting.
In total, YLL for VL was an estimated 1,467 DALYs in 2007.
Males
Females
Persons
T ABLE 5 –3: Y EARS OF LIFE LOST DUE TO PREMATURE DEATH (YLL) DUE TO VL, 2007
15-29 30-39 40-49 50-59 60-69 70-79
0
0
0
0
4
2
22
15
58
38
181
153
0 0 6 37 96 334
80+
359
635
993
Total
623
844
1,467
90
The cost of vision loss in Canada
5.3
The overall loss of wellbeing due to VL is estimated as 77,306 DALYs.
Figure 5-1 illustrates the YLD and YLL components by age and gender. The greatest impact of VL
is in old age, reflecting the physiology of VL and higher YLD due to the large number of Canadians with VL in this cohort.
F IGURE 5-1: L OSS OF WELLBEING DUE TO VL (DALY S ), BY AGE AND GENDER , 2007
16,000
14,000
12,000
Female YLL
Male YLL
Female YLD
Male YLD
10,000
8,000
6,000
4,000
2,000
0
Age Groups
Multiplying the number of DALYs by the VSLY ($195,837) provides an estimate of the dollar value of the loss of wellbeing due to VL.
The estimated gross cost of lost wellbeing from VL is $15.2 billion in 2007.
Bearing in mind that the wage-risk studies underlying the calculation of the VSL take into account all known personal impacts – suffering and premature death, lost wages/income, out-of-pocket personal health costs and so on – the estimate of $15.2 billion should be treated as a ‘gross’ figure.
However, costs specific to VL that are unlikely to have entered into the thinking of people in the source wage/risk studies should not be netted out (e.g. publicly financed health spending, care
provided voluntarily). The results after netting out are presented in Table 5 –4.
91
The cost of vision loss in Canada
T ABLE 5 –4: N ET COST OF LOST WELLBEING , $ MILLION , 2007
Gross cost of wellbeing
Less health costs borne out-of-pocket
Less individual production losses net of tax
Less other indirect costs borne out-of-pocket
Plus transfers to people with VL
Net cost of lost wellbeing
The estimated net cost of lost wellbeing from VL is $11.7 billion in 2007.
15,200
1,499
2,847
61
917
11,710
92
The cost of vision loss in Canada
6.
In 2007, the financial cost of VL was $15.8 billion
$8.6 billion (54.6%) was direct health system expenditure;
$4.4 billion (28.0%) was productivity lost due to lower employment, absenteeism and premature death of Canadians with VL;
$1.8 billion (11.1%) was the DWL from transfers including welfare payments and taxation forgone;
$0.7 billion (4.4%) was the value of the care for people with VL; and
$305 million (1.9%) was other indirect costs such as aids and home modifications and the bring-forward of funeral costs.
Additionally, the value of the lost wellbeing (disability and premature death) was a further
$11.7 billion .
T
ABLE
6 –1: VL,
TOTAL COSTS BY TYPE OF COST AND BEARER
, 2007
Burden of disease
Health system costs
Productivity costs
Carer costs
Other Indirect costs
Deadweight losses
Transfers
Total financial costs
Total costs including burden of disease
Individuals
11,710
1,499
2,847
0
61
0
-917
3,490
Family/
Friends
0
413
62
0
0
0
0
474
Federal
Government
Provincial
Governments
Total cost ($ million)
0
388
886
218
0
0
917
2,409
0
5,670
619
0
61
0
0
6,350
Employers
80
0
61
0
0
0
0
141
Society/
Other
0
1,081
0
62
61
1,757
2,960
0
Total
11,710.4
8,637.9
4,431.4
692.8
304.9
1,757.0
0
15,824
Burden of disease
Health system costs
Productivity costs
Carer costs
Other Indirect costs
Deadweight losses
Transfers
Total financial costs
Total costs including burden of disease
15,200
14,334
1,835
3,485
0
74
0
-1,122
4,272
18,606
474 2,409 6,350
Cost per person with visual impairment ($)
0
0
0
505
76
0
0
581
0
475
1,084
267
1,122
2,948
0
0
0
6,941
757
0
74
0
0
7,773
581 2,948 7,773
141
0
0
98
0
74
0
0
172
172
2,960
0
1,323
0
76
74
2,151
0
3,624
3,624
27,534
14,334
10,573
5,424
848
373
2,151
0
19,370
33,704
In per capita terms, this amounts to a financial cost of $19,370 per person with VL per annum.
Including the value of lost wellbeing, the cost is $33,704 per person per annum.
93
The cost of vision loss in Canada
F IGURE 6-1: F INANCIAL COSTS OF VL, BY TYPE OF COST (% TOTAL )
DWL
11.1%
Indirect Costs
1.9%
Carer Costs
4.4%
Productivity Costs
28.0% Health System Costs
54.6%
Individuals with VL bear 22.1% of the financial costs, and their families and friends bear a further
3.0%. Federal government bears 15.2% of the financial costs (mainly through taxation revenues forgone and welfare payments). Provincial governments bear 40.1% of the costs, reflecting the nature of Canada’s Federal system, while employers bear 0.9% and the rest of society bears the remaining 18.7%.
If the burden of disease (lost wellbeing) is included, individuals bear 55.2% of the costs and
Provincial governments bear 23.1% while the Federal government bears a lesser 8.7%, with family and friends 1.7%, employers 0.5% and others in society 10.8%.
F
IGURE
6-2: F
INANCIAL COSTS OF
VL,
BY BEARER
(%
TOTAL
)
Society/Other
18.7%
Individuals
22.1%
Employers
0.9%
Family/Friends
3.0%
Federal Government
15.2%
Provincial
Governments
40.1%
94
The cost of vision loss in Canada
As well as cost information, an important finding from this analysis was the observation that, for an advanced Western nation, Canada has a serious deficiency in eye health data. CNIB’s Health
Economic Statement ( http://www.costofblindness.org/media/health-state.asp
) observes that, with respect to blindness and vision loss , there is ‘strong argument for saying that Canada has the worst record of supporting research of all the G8 countries’. The importance of good eye health to
Canadians is shown from survey data in the same document revealing that two-thirds of Canadians would cash in all their savings or sell everything they owned to save their eyesight. With a rapidly aging population, it is high time for a Canadian population eye health study to monitor incidence, prevalence and morbidity outcomes and economic impacts more robustly in the future.
95
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85+
The cost of vision loss in Canada
Recognizing the need for national estimates of VL, Prevent Blindness America and the National Eye
Institute invited the principal investigators of several population-based vision studies to a meeting in
Fort Lauderdale, Florida, in May 2001, to standardize disease definitions and methods of data reporting so that available data from many of these studies might be analysed together.
Prevalence of eye disease and associated blindness and low vision were calculated based on studies from the US, Western Europe, the West Indies and Australia. The number of individuals with each disease and the total number in the respective populations were provided in five year age increments by age, gender and ethnicity for the adult population from each of the studies.
Prevalence rates were then combined using a meta-analysis technique for reducing the overall variance of the pooled rate.
T
ABLE
A-1: S
OURCE STUDIES FOR
EDRPG
DATA
Study and location B/VL RE AMD Cataract DR Glaucoma
Baltimore Eye Survey, US
Barbados Eye Studies, West Indies
Beaver Dam Eye Study, US
B W B W B W
W W
B
W
BMES, Australia
MVIP, Australia
Proyecto Vision Evaluation Research, US
Rotterdam Eye Study, The Netherlands
W
W
H
W
Salisbury Eye Evaluation Project, US B W
H
W
W
W
W
B W
B
W
W
W
B W
Note: B = Black, H = Hispanic, W = White, B/VL = Blindness / VL
Source: Congdon et al (2004a).
B
W
W
W
H
B W
W
W
W
H
W
Age
T ABLE A-2: P REVALENCE OF AMD BY AGE , GENDER AND WHITE / BLACK (% POPULATION )
White Female White Male Black Female Black Male
0.2
0.2
0.4
0.7
1.5
3.2
6.8
13.6
0.3
0.4
0.6
1.1
2.1
3.9
6.9
12.0
0.9
1.1
1.4
1.7
2.1
2.5
2.9
3.3
0.2
0.4
0.6
0.9
1.5
2.4
3.8
5.9
96
The cost of vision loss in Canada
Age
T ABLE A-3: P REVALENCE OF CATARACT BY AGE , GENDER AND WHITE / BLACK (% POPULATION )
White Female White Male Black Female Black Male
40-49
50-54
55-59
60-64
65-69
70-74
75-79
80+
1.8
5.0
9.4
16.8
27.5
40.8
54.5
72.9
2.8
4.9
8.2
13.8
22.4
34.0
47.2
67.2
2.2
7.3
12.8
20.0
28.5
37.4
46.1
58.2
1.7
4.5
7.6
11.9
17.5
24.1
31.3
43.3
Age
T
ABLE
A-4: P
REVALENCE OF
DR
BY AGE
,
GENDER AND WHITE
/
BLACK
(%
POPULATION
)
White Female White Male Black Female Black Male
40-49
50-54
55-59
60-64
65-69
70-74
75-79
80+
18-39
40-49
50-64
65-74
75+
1.1
1.9
3.3
5.3
5.2
0.7
1.5
4.2
7.6
5.3
0.8
1.9
6.3
6.8
5.8
0.6
1.9
4.3
4.2
4.9
Age
T
ABLE
A-5: P
REVALENCE OF
G
LAUCOMA BY AGE
,
GENDER AND WHITE
/
BLACK
(%
POPULATION
)
White Female White Male Black Female Black Male
0.8
0.9
1.0
1.2
1.6
2.2
3.3
6.9
0.4
0.6
0.8
1.2
1.7
2.3
3.2
5.5
2.3
3.0
3.5
4.1
4.8
5.6
6.5
8.3
1.5
2.2
2.9
3.7
4.8
6.2
7.9
11.6
97
The cost of vision loss in Canada
Age
T ABLE A-6: P REVALENCE OF M YOPIA BY AGE , GENDER AND WHITE / BLACK (% POPULATION )
White Female White Male Black Female Black Male
40-49
50-54
55-59
60-64
65-69
70-74
75-79
80+
46.4
30.3
23.7
19.4
16.8
15.5
15.2
16.8
37.0
26.2
22.0
19.4
17.9
17.5
18.0
21.1
18.4
13.2
11.4
10.3
9.8
9.9
10.4
12.7
22.5
16.3
13.1
10.4
8.1
6.3
4.9
3.1
Age
T
ABLE
A-7: P
REVALENCE OF
H
YPEROPIA BY AGE
,
GENDER AND WHITE
/
BLACK
(%
POPULATION
)
White Female White Male Black Female Black Male
40- 49
50-54
55-59
60-64
65-69
70-74
75-79
80 +
40-49
50-54
55-59
60-64
65-69
70-74
75-79
80+
3.7
7.4
10.5
14.1
17.9
21.6
24.7
28.0
3.6
6.4
8.7
11.4
14.2
17.1
19.9
23.5
3.1
5.4
7.1
8.9
10.6
12.0
13.1
13.6
2.2
3.3
3.8
3.9
3.8
3.3
2.6
1.5
Age
T ABLE A-8: P REVALENCE OF ALL VL BY AGE , GENDER AND WHITE / BLACK (% POPULATION )
White Female White Male Black Female Black Male
0.3
0.4
0.5
0.7
1.2
2.3
4.8
24.1
0.3
0.3
0.4
0.6
1.0
1.9
4.0
20.2
0.1
0.4
0.7
1.3
2.4
4.2
7.0
15.1
0.3
0.7
1.2
2.2
3.8
6.4
10.4
23.7
98
The cost of vision loss in Canada
Age
T ABLE A-9: P REVALENCE OF MILD VL BY AGE , GENDER AND WHITE / BLACK (% POPULATION )
White Female White Male Black
40-49
50-54
55-59
60-64
65-69
70-74
75-79
80 +
0.2
0.2
0.3
0.4
0.7
1.3
2.8
12.3
0.1
0.2
0.2
0.3
0.6
1.0
2.2
9.5
0.0
0.1
0.3
0.6
1.2
2.3
3.8
7.7
T
ABLE
A-10: P
REVALENCE OF MODERATE
VL
BY AGE
,
GENDER AND WHITE
/
BLACK
(%
POPULATION
)
Age White Female White Male Black
40-49
50-54
55-59
60-64
65-69
70-74
75-79
80 +
40-49
50-54
55-59
60-64
65-69
70-74
75-79
80 +
0.1
0.1
0.1
0.2
0.3
0.5
1.1
4.9
0.1
0.1
0.1
0.1
0.2
0.4
0.9
3.8
0.0
0.1
0.1
0.3
0.5
0.9
1.5
3.1
Age
T ABLE A-11: P REVALENCE OF BLINDNESS BY AGE , GENDER AND WHITE / BLACK (% POPULATION )
White Female White Male Black Female Black Male
0.1
0.1
0.1
0.2
0.2
0.4
0.9
6.8
0.1
0.1
0.1
0.2
0.2
0.4
0.9
6.8
0.1
0.2
0.3
0.4
0.7
1.1
1.7
4.2
0.3
0.5
0.8
1.3
2.0
3.2
5.1
12.8
99
The cost of vision loss in Canada
T ABLE B-1: A LL VL BY AGE AND GENDER , 2007-2032 SELECTED YEARS ( PEOPLE )
2007
28,842
22,096
36,555
38,920
59,237
60,526
42,877
19,296
340,097
2.1%
41.6%
0
0
0
0
49
347
345
205
9,469
5,166
17,390
29,942
23,148
37,979
44,041
75,270
94,066
85,336
54,101
476,854
2.9%
58.4%
0
0
0
0
86
24
24
87
9,577
5,028
16,924
0
0
0
0
135
371
369
292
19,046
10,193
34,315
58,784
45,245
74,534
82,961
134,507
154,591
128,212
73,397
816,951
2.49%
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total males
% of males
% of total prevalence
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total females
% of females
% of total prevalence
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total persons
% of total population
2010
30,861
25,511
41,772
40,874
60,658
65,860
49,695
22,356
369,458
2.2%
42.0%
0
0
0
0
53
381
377
223
8,388
5,202
18,376
32,271
26,902
43,143
46,199
75,476
96,399
95,603
60,609
509,602
3.0%
58.0%
0
0
0
0
93
26
26
94
8,465
5,090
18,076
0
0
0
0
147
407
403
318
16,853
10,292
36,452
63,132
52,413
84,915
87,073
136,134
162,258
145,298
82,965
879,059
2.63%
2015
35,009
28,515
54,331
50,178
64,591
72,030
61,082
27,469
424,576
2.5%
42.8%
0
0
0
0
61
442
435
256
7,904
4,429
18,850
36,151
30,400
56,520
56,063
79,852
99,527
108,488
68,785
568,162
3.2%
57.2%
0
0
0
0
108
31
30
108
8,009
4,278
18,808
2020
36,928
32,472
61,212
65,545
80,323
78,328
70,652
31,774
485,355
2.7%
43.3%
0
0
0
0
70
512
502
295
7,997
4,239
15,750
37,614
34,116
64,140
73,219
97,566
106,756
117,435
74,469
634,679
3.5%
56.7%
0
0
0
0
124
35
35
125
8,056
4,076
15,672
2025
32,110
34,337
70,126
74,498
106,150
98,929
80,104
36,029
559,828
3.0%
43.7%
0
0
0
0
81
589
579
340
8,149
4,343
14,869
32,816
35,531
72,227
83,586
128,058
131,653
128,081
81,229
722,129
3.8%
56.3%
0
0
0
0
143
41
40
144
8,194
4,128
14,856
0
0
0
0
169
473
465
364
15,912
8,707
0
0
0
0
195
547
537
420
16,053
8,315
0
0
0
0
224
630
619
484
16,342
8,470
0
0
0
0
270
762
749
587
15,806
8,672
37,658
71,159
58,915
110,851
106,241
31,421
74,541
66,587
125,352
138,764
29,725
64,925
69,868
142,353
158,084
30,475
63,620
59,987
143,616
187,186
144,443
171,557
169,570
96,254
177,889
185,084
188,087
106,243
234,208
230,582
208,185
117,258
286,541
323,928
284,515
159,390
992,738 1,120,033 1,281,957 1,566,103
2.86% 3.10% 3.43% 4.01%
2032
31,493
29,488
71,676
89,502
130,352
140,017
113,655
51,054
684,941
3.6%
43.7%
0
0
0
0
98
712
701
413
7,902
4,471
15,320
32,127
30,500
71,940
97,684
156,188
183,910
170,860
108,336
881,162
4.5%
56.3%
0
0
0
0
172
49
48
174
7,903
4,200
15,155
100
The cost of vision loss in Canada
T ABLE B-2: VL FROM AMD BY AGE AND GENDER , 2007-2032 SELECTED YEARS ( PEOPLE )
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
Total males
% of males
% of total prevalence
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total females
% of females
% of total prevalence
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total persons
% of total population
1,427
8,402
9,190
20,702
17,227
57,536
0
589
0
0
0
0
0
0
0
0
0
0
0
0
0.3%
64.6%
0
1,108
0
0
2,659
15,189
15,351
31,279
23,437
89,022
0.27%
0
0
0
0
0
0
0
0
0
0
2007
519
1,232
6,787
0
0
0
0
0
0
0
0
6,161
10,577
6,210
31,486
0.2%
35.4%
0
0
0
0
0
1,826
8,951
9,777
26,315
21,889
69,615
0
857
0
0
0
0
0
0
0
0
0
0
0
0
0.4%
62.9%
0
1,619
0
0
3,416
16,413
17,155
41,366
30,730
110,700
0.32%
0
0
0
0
0
0
0
0
0
0
2015
762
1,591
7,462
0
0
0
0
0
0
0
0
7,377
15,051
8,841
41,084
0.2%
37.1%
0
0
0
0
0
1,511
8,441
9,436
23,193
19,300
62,546
0
666
0
0
0
0
0
0
0
0
0
0
0
0
0.4%
64.1%
0
1,257
0
0
2,815
15,414
16,148
35,445
26,495
97,573
0.29%
0
0
0
0
0
0
0
0
0
0
2010
591
1,304
6,973
0
0
0
0
0
0
0
0
6,712
12,251
7,195
35,027
0.2%
35.9%
0
0
0
0
0
2,341
10,926
10,513
28,477
23,675
76,908
0
977
0
0
0
0
0
0
0
0
0
0
0
0
0.4%
61.6%
0
1,839
0
0
4,385
20,175
18,574
45,888
33,901
124,761
0.35%
0
0
0
0
0
0
0
0
0
0
2020
861
2,044
9,249
0
0
0
0
0
0
0
0
8,061
17,411
10,226
47,853
0.3%
38.4%
0
0
0
0
0
0
1,104
0
0
0
0
0
0
0
0
0
0
2,675
14,304
12,938
31,053
25,806
87,880
0
0
0.5%
60.7%
0
2,092
0
0
5,003
26,452
23,053
50,796
37,402
144,797
0.39%
0
0
0
0
0
0
0
0
0
0
2025
987
2,327
12,148
0
0
0
0
0
0
0
0
10,115
19,743
11,596
56,917
0.3%
39.3%
0
0
0
0
0
2032
1,027
2,799
14,909
0
0
0
0
0
0
0
0
14,179
27,961
16,435
77,309
0.4%
40.1%
0
0
0
0
0
0
1,140
0
0
0
0
0
0
0
0
0
0
3,144
17,443
18,004
41,440
34,465
115,636
0
0
0.6%
59.9%
0
2,167
0
0
5,943
32,351
32,183
69,402
50,900
192,945
0.49%
0
0
0
0
0
0
0
0
0
0
101
The cost of vision loss in Canada
T ABLE B-3: VL FROM CATARACT BY AGE AND GENDER , 2007-2032 SELECTED YEARS ( PEOPLE )
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total males
% of males
% of total prevalence
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
Total females
% of females
% of total prevalence
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total persons
% of total population
0
0
0
0
2,101
318
2,800
11,012
22,374
39,034
35,836
31,793
145,268
0.44%
0
0
0
0
0
0
0
158
1,547
6,301
12,810
23,614
23,716
23,288
92,480
0.5%
0
1,046
0
0
0
0
0
0
0
0
0
0
63.7%
2010
0
0
1,055
160
1,254
4,711
9,564
15,420
12,121
8,505
52,789
0
0
0
0
0
0
0
0
0
0.3%
36.3%
0
0
0
0
1,947
279
2,473
10,325
21,970
37,077
31,632
28,133
133,836
0.41%
0
0
0
0
0
0
0
138
1,371
5,892
12,651
22,914
21,170
20,788
85,891
0.5%
0
967
0
0
0
0
0
0
0
0
0
0
64.2%
2007
0
0
980
141
1,102
4,434
9,319
14,164
10,462
7,344
47,945
0
0
0
0
0
0
0
0
0
0.3%
35.8%
0
0
0
0
2,385
365
3,577
13,308
23,932
41,544
41,841
36,903
163,856
0.47%
0
0
0
0
0
0
0
182
1,969
7,581
13,715
24,641
26,949
26,457
102,673
0.6%
0
1,180
0
0
0
0
0
0
0
0
0
0
62.7%
2015
0
0
1,205
183
1,608
5,727
10,217
16,903
14,893
10,446
61,183
0
0
0
0
0
0
0
0
0
0.4%
37.3%
0
0
0
0
2,335
455
4,637
19,228
38,284
55,824
51,464
45,032
217,259
0.58%
0
0
0
0
0
0
0
225
2,550
10,912
21,597
32,627
31,930
31,328
132,307
0.7%
0
1,139
0
0
0
0
0
0
0
0
0
0
60.9%
2025
0
0
1,196
230
2,087
8,316
16,687
23,197
19,534
13,704
84,952
0
0
0
0
0
0
0
0
0
0.5%
39.1%
0
0
0
0
2,542
417
4,071
16,831
29,351
45,037
46,459
40,773
185,482
0.51%
0
0
0
0
0
0
0
207
2,251
9,534
16,672
26,616
29,233
28,689
114,448
0.6%
0
1,247
0
0
0
0
0
0
0
0
0
0
61.7%
2020
0
0
1,295
210
1,821
7,298
12,678
18,421
17,227
12,084
71,034
0
0
0
0
0
0
0
0
0
0.4%
38.3%
0
0
0
0
2,400
460
4,882
22,902
46,801
77,754
70,148
61,081
286,428
0.73%
0
0
0
0
0
0
0
226
2,692
12,897
26,318
45,067
42,468
41,688
172,519
0.9%
0
1,163
0
0
0
0
0
0
0
0
0
0
60.2%
2032
0
0
1,237
234
2,190
10,005
20,483
32,688
27,680
19,393
113,910
0
0
0
0
0
0
0
0
0
0.6%
39.8%
102
The cost of vision loss in Canada
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total males
% of males
% of total prevalence
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total females
% of females
% of total prevalence
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total persons
% of total population
T ABLE B-4: VL FROM DR BY AGE AND GENDER , 2007-2032 SELECTED YEARS ( PEOPLE )
0
2,493
2,595
2,196
1,208
2,931
3,474
2,174
1,057
0
61
0
0
442
435
256
254
289
1,245
21,112
0.1%
57.2%
0
4,658
4,820
4,292
2,333
5,342
6,039
3,428
1,506
0
169
0
0
473
465
364
362
358
2,290
36,897
0.11%
2015
0
2,164
2,225
2,096
1,124
2,411
2,566
1,254
449
0
108
31
30
0
0
108
108
69
1,045
15,786
0.1%
42.8%
0
2,177
2,255
1,738
1,006
2,704
3,334
1,911
929
0
53
381
377
0
0
223
223
252
1,184
18,746
0.1%
57.7%
0
4,060
4,212
3,403
1,940
4,917
5,664
2,934
1,296
0
147
407
403
0
0
318
317
312
2,182
32,509
0.10%
2010
0
1,883
1,957
1,665
933
2,212
2,330
1,023
367
94
94
60
998
0
93
26
26
0
0
13,763
0.1%
42.3%
0
1,997
1,971
1,544
937
2,643
3,237
1,706
829
0
49
347
345
0
0
205
206
232
1,112
17,360
0.1%
58.0%
0
3,737
3,688
3,015
1,805
4,769
5,376
2,591
1,147
0
135
371
369
0
0
292
293
287
2,045
29,920
0.09%
2007
0
1,740
1,717
1,472
869
2,125
2,138
886
318
87
87
55
933
0
86
24
24
0
0
12,560
0.1%
42.0%
0
2,719
2,954
2,515
1,507
3,545
3,749
2,363
1,149
0
70
0
0
512
502
295
293
333
1,123
23,630
0.1%
57.0%
0
5,081
5,505
4,904
2,904
6,497
6,556
3,814
1,669
0
195
0
0
547
537
420
417
413
2,012
41,471
0.11%
2020
0
2,362
2,551
2,389
1,397
2,953
2,807
1,451
519
0
124
35
35
0
0
125
124
79
889
17,840
0.1%
43.0%
0
2,697
3,198
2,854
1,726
4,529
4,599
2,585
1,257
0
81
0
0
589
579
340
338
384
1,122
26,877
0.1%
56.9%
0
4,989
5,970
5,594
3,322
8,318
8,115
4,231
1,847
0
224
0
0
630
619
484
481
475
1,978
47,277
0.13%
2025
0
2,292
2,772
2,740
1,596
3,789
3,516
1,647
590
0
143
41
40
0
0
144
143
91
856
20,400
0.1%
43.1%
2032
0
2,467
2,706
2,977
1,923
4,639
4,913
2,310
822
0
172
49
48
0
0
174
173
110
888
24,373
0.1%
43.1%
0
2,946
3,197
3,057
2,045
5,514
6,362
3,428
1,667
0
98
0
0
712
701
413
410
465
1,217
32,230
0.2%
56.9%
0
5,413
5,903
6,034
3,968
10,153
11,275
5,738
2,489
0
270
0
0
762
749
587
584
575
2,104
56,603
0.15%
103
The cost of vision loss in Canada
T ABLE B-5: VL FROM G LAUCOMA BY AGE AND GENDER , 2007-2032 SELECTED YEARS ( PEOPLE )
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total males
% of males
% of total prevalence
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total females
% of females
% of total prevalence
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total persons
% of total population
0
1,614
1,525
0
0
0
0
0
0
0
0
0
0
0
0
2,018
6,145
3,965
2,083
17,349
0.1%
57.1%
0
3,469
3,348
3,520
10,834
6,255
2,943
30,368
0.09%
0
0
0
0
0
0
0
0
0
0
0
0
2015
0
0
1,855
1,824
1,502
0
0
4,689
2,291
860
13,020
0
0
0
0
0
0
0
0
0
0.1%
42.9%
0
1,245
1,260
0
0
0
0
0
0
0
0
0
0
0
0
1,880
5,965
3,495
1,836
15,680
0.1%
58.3%
0
2,705
2,766
3,282
10,241
5,360
2,537
26,891
0.08%
0
0
0
0
0
0
0
0
0
0
0
0
2010
0
0
1,460
1,506
1,402
0
0
4,276
1,865
701
11,211
0
0
0
0
0
0
0
0
0
0.1%
41.7%
0
1,099
1,194
0
0
0
0
0
0
0
0
0
0
0
0
1,853
5,828
3,119
1,639
14,731
0.1%
59.1%
0
2,386
2,605
3,217
9,755
4,730
2,244
24,937
0.08%
0
0
0
0
0
0
0
0
0
0
0
0
2007
0
0
1,288
0
0
1,410
1,364
3,928
1,611
605
10,206
0
0
0
0
0
0
0
0
0
0.1%
40.9%
0
1,836
1,971
0
0
0
0
0
0
0
0
0
0
0
0
2,450
6,581
4,290
2,253
19,381
0.1%
56.3%
0
3,944
4,268
4,311
11,693
6,940
3,248
34,403
0.10%
0
0
0
0
0
0
0
0
0
0
0
0
2020
0
0
2,107
2,297
1,860
0
0
5,112
2,650
995
15,021
0
0
0
0
0
0
0
0
0
0.1%
43.7%
0
2,072
2,251
0
0
0
0
0
0
0
0
0
0
0
0
3,165
8,126
4,677
2,457
22,749
0.1%
55.8%
0
4,489
4,872
5,607
14,561
7,683
3,585
40,797
0.11%
0
0
0
0
0
0
0
0
0
0
0
0
2025
0
0
2,417
2,621
2,441
0
0
6,435
3,005
1,129
18,047
0
0
0
0
0
0
0
0
0
0.1%
44.2%
0
4,692
5,794
6,852
20,441
10,494
4,873
53,147
0.14%
0
0
0
0
0
0
0
0
0
0
0
0
0
2,109
2,639
0
0
0
0
0
0
0
0
0
0
0
0
3,857
11,379
6,243
3,280
29,507
0.1%
55.5%
2032
0
0
2,584
3,155
2,996
0
0
9,062
4,251
1,593
23,641
0
0
0
0
0
0
0
0
0
0.1%
44.5%
104
The cost of vision loss in Canada
T ABLE B6: VL FROM RE BY AGE AND GENDER , 2007-2032 SELECTED YEARS ( PEOPLE )
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
80-84
85-89
90+
Total males
% of males
% of total prevalence
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total females
% of females
% of total prevalence
0-4
5-9
10-14
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
85-89
90+
Total persons
% of total population
0
16,536
9,980
34,270
56,971
47,884
74,750
68,540
90,147
91,171
65,724
20,845
576,817
1.73%
0
0
0
0
0
0
0
29,048
24,489
37,948
36,121
49,641
54,050
43,288
15,256
320,149
1.9%
8,165
4,950
17,193
0
0
0
0
0
0
0
0
55.5%
2010
0
17,078
27,923
23,395
36,802
32,419
40,506
37,121
22,435
5,589
256,668
8,371
5,030
0
0
0
0
0
0
0
1.6%
44.5%
0
18,753
9,907
32,269
53,100
41,278
65,552
65,567
89,362
87,032
57,980
18,436
539,236
1.64%
0
0
0
0
0
0
0
26,978
21,039
33,378
34,592
49,720
52,897
38,638
13,617
301,336
1.8%
9,264
4,934
16,278
0
0
0
0
0
0
0
0
55.9%
2007
0
15,991
26,122
20,239
32,174
30,975
39,642
34,134
19,342
4,819
237,900
9,490
4,973
0
0
0
0
0
0
0
1.5%
44.1%
0
15,551
8,349
35,368
64,116
53,731
97,893
83,835
95,236
95,986
76,680
24,172
650,917
1.87%
0
0
0
0
0
0
0
32,477
27,623
49,883
43,923
52,237
55,491
49,086
17,299
357,414
2.0%
7,649
4,140
17,605
0
0
0
0
0
0
0
0
54.9%
2015
0
17,763
31,639
26,108
48,010
39,912
42,999
40,495
27,594
6,873
293,503
7,901
4,209
0
0
0
0
0
0
0
1.7%
45.1%
0
15,862
7,996
27,748
57,601
63,443
125,542
125,659
155,547
129,029
94,010
29,391
831,827
2.23%
0
0
0
0
0
0
0
28,979
32,108
63,647
66,021
84,462
73,363
57,836
20,381
452,316
2.4%
7,811
3,959
13,748
0
0
0
0
0
0
0
0
54.4%
2025
0
14,000
28,622
31,334
61,895
59,638
71,084
55,665
36,174
9,011
379,511
8,051
4,037
0
0
0
0
0
0
0
2.1%
45.6%
0
15,636
7,902
29,409
66,918
60,665
110,594
110,376
117,555
103,224
84,986
26,652
733,916
2.03%
0
0
0
0
0
0
0
33,647
30,954
56,561
57,867
63,972
59,297
53,073
18,703
400,310
2.2%
7,704
3,905
14,626
0
0
0
0
0
0
0
0
54.5%
2020
0
14,783
33,271
29,711
54,033
52,508
53,583
43,927
31,913
7,949
333,606
7,932
3,997
0
0
0
0
0
0
0
1.9%
45.5%
0
15,222
8,097
28,371
55,806
53,624
125,841
148,580
190,383
182,275
128,734
40,047
976,979
2.50%
0
0
0
0
0
0
0
28,018
27,077
62,943
76,960
103,057
103,099
77,281
27,235
531,271
2.7%
7,492
4,007
14,103
0
0
0
0
0
0
0
0
54.4%
2032
0
14,268
27,788
26,547
62,898
71,620
87,326
79,176
51,454
12,812
445,709
7,730
4,090
0
0
0
0
0
0
0
2.3%
45.6%
105
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