Epidemiology of HIV among adolescents - AIDS 2014

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Strengthening strategic information for Adolescents and Young Key

Populations: Data gaps and challenges of using existing data

Priscilla Idele, PhD

SESSION: TUWS08 Sampling and Estimating the Size of

Adolescent and Young Key Populations at Higher Risk of HIV

Using Respondent Driven Sampling

Date : 22/07/2014 (14:30-17:30 PM)

Room: Room 103 www.aids2014.org

Epidemiology of HIV among adolescents

Estimated number of adolescents aged 10-19 living with HIV by UNICEF regions, 2012

Region

Estimated number of adolescents living with HIV, 2012

Total 10-19 Females (10-19) Males (10-

19)

% female

Sub-Saharan Africa

Eastern and Southern

Africa

1,700,000

1,300,000

1,000,000

800,000

720,000

550,000

58%

59%

West and Central Africa 390,000 220,000 170,000 56%

Middle East and North Africa

South Asia

East Asia and the Pacific

Latin America and the

Caribbean

Central and Eastern Europe

& Commonwealth of the

Independent States

GLOBAL

17,000

130,000

110,000

81,000

22,000

2,100,000

9,100

62,000

55,000

35,000

11,000

1,200,000

8,300

64,000

53,000

46,000

11,000

930,000

52%

49%

51%

43%

52%

56%

Adolescent AIDS -related deaths: the only group where deaths are increasing

www.aids2014.org

Infections among adolescents not slowing fast enough

www.aids2014.org

HIV prevalence among male and female sex workers in Asia and the Pacific www.aids2014.org

Source: UNAIDS, The Gap Report, 2014

Percentage of female sex workers, men who have sex with men, and people who inject drugs who are under 25 years of age in countries with data available www.aids2014.org

Source: UNAIDS, The Gap Report, 2014

Percentage of adolescents 15-19 and young people 20-24 with comprehensive correct knowledge of HIV by sex and age in countries with available data, 2008-

2013

Females 15-19 Females 20-24

4,1

2

Samoa

4,6

7,4

Males 15-19 Males 20-24

5,2

0,6

Pakistan

5,4

5,2

11,2

13,5

13,6

9,4

Timor-Leste

Indonesia

14,7

4

10,8

27,4

23,3

24,7

25

26,7

34,5

28,3

Lao People's Democratic Republic

Nepal

Mongolia

24,6

31,7

32,7

35,6

24,2

34,7

40,9

47,5

42,8

46,2

Cambodia

46,9

41,4

Kiribati

70 60 50 40 20 10 0 0 10 30 www.aids2014.org

Source: UNICEF global databases, 2014, based on Demographic and Health Surveys (DHS),

Multiple Indicator Cluster Surveys (MICS) and other national surveys, 2008-2013.

40

45,5

51

50 60 70

Percentage of adolescents 15-19 and young people 20-24 who had first sex by age 15 by sex and age in countries with available data, 2008-2013

Males 15-19 Males 20-24

Females 15-19 Females 20-24

Mongolia

Cambodia

Kiribati

Indonesia

Timor-Leste

Lao People's Democratic Republic

Nepal

25 20 15 5 0 0 5 10

Percent (%) www.aids2014.org

Source: UNICEF global databases, 2014, based on Demographic and Health Surveys (DHS),

Multiple Indicator Cluster Surveys (MICS) and other national surveys, 2008-2013.

15 20 25

Policy context

• 2013 WHO HIV treatment guidelines – children, adolescents, adults and key populations

• 2013 WHO adolescents guidelines on HIV testing and counselling and HIV care and treatment

• The Impact and Cost of the HIV/AIDS Investment Framework for Adolescents

• Post-2015 discussions on new goals and targets, with emphasis on adolescents

• 2014 WHO Strategic Information (SI) Guidance – under development, emphasis on age disaggregated data, including for adolescents and key populations

• But … changing HIV/AIDS programming landscape – integration, mainstreaming, shifting funding priorities – means need for more evidence for advocacy, policy change, and programme strategies www.aids2014.org

Data needs

Type of data

Population-based surveys

Targetted surveys on key sub-populations

Routine or programme statistics

Primary source

Nationally representative household surveys, e.g. Multiple Indicator Cluster

Surveys (MICS); Demographic and

Health Surveys (DHS); AIDS Indicator

Surveys (AIS) etc.

Behavioural surveillance surveys (BSS), with or without bio-markers

(UNAIDS GARPR country reports)

Ministries of Health; National AIDS

Commissions; National AIDS Control

Programmes

HIV Estimates UNAIDS/WHO statistical models

Frequency of updates

As reports become available and through

UNICEF database updates

Every 2 years when countries submit the

GARPR reports

Annually using the

WHO/UNICEF/UNAIDS

Joint Reporting process

Every 2 years; now annually

Every 2 years Population and demographic estimates

Qualitative - enabling environment e.g. policies, strategies, funding, partnerships,etc.

United Nations Population Division

Administrative/government and partner records and reports

As needed www.aids2014.org

Data availability: East Asia & Pacific

Indicator

Estimated number of adolescents

(aged 10 – 19)

Countries with available data, 2012

Epidemiology of HIV among adolescents

Estimated number of adolescents living with HIV, 2012 a (aged 10 – 19)

1/14

1/14 living with HIV as a % of people living with HIV, 2012 b

Estimated number of new HIV infections among adolescents a

(aged 15 – 19)

Estimated number of AIDS deaths among adolescents a (aged 15 – 19)

1/14

1/14

*Other countries have ranges and wide uncertainties that can’t be published

Countries

PNG*

PNG*

PNG*

PNG*

Data Sources: a - UNAIDS 2012 HIV and AIDS estimates; b - UNICEF analysis of UNAIDS 2012 HIV and AIDS estimates www.aids2014.org

Data availability: East Asia & Pacific

Indicator Countries with available data

(2008-2013)

Knowledge, HIV testing and sexual behaviour among adolescents c

Countries

% of adolescents (aged 15 – 19) who have comprehensive knowledge of HIV c

Female: 18

Male: 9

Cambodia, DPRK, Indonesia,

Lao PDR, Mongolia,

Myanmar, Philippines,

Thailand, Timor Leste,

Vietnam

Mongolia % of adolescents (aged 15 – 19) with multiple partners who used a condom at last sex c

% of adolescents (aged 15 – 19) who had sex before age 15 c

% of adolescents (aged 15 – 19) who were ever tested and received results c

Female: 0

Male: 2

Female: 11

Male: 7

Female: 7

Male: 3

Cambodia, Lao PDR,

Mongolia, PNG, Philippines,

Vietnam, Timor Leste

Cambodia, Myanmar,

Philippines, Vietnam

Data Sources: c - UNICEF global databases, 2013 based on DHS, MICS and other national surveys, 2008-2013 www.aids2014.org

Data availability: East Asia & Pacific

Indicator Countries with Countries available data

(2008-2013)

Access, coverage , quality and outcome indicators

HIV testing

HIV care & treatment ???

???

Retention

Viral suppression

HIV mortality www.aids2014.org

Data disaggregation considerations

Where possible, indicators could should be disaggregated by:

Age

Sex

Geographic areas

Residence (urban, rural)

Education

Wealth

Ethnicity

Religion

Marital status

Key adolescent populations

Other stratifiers

www.aids2014.org

Some data challenges

Routine programme data

• Limited or lack of disaggregated data on routine programme service statistics on HIV testing, care and treatment for adolescents and young key populations

• Currently, routine programme data need additional resources for data abstraction from health facility registers

Population-based surveys

Most surveys (MICS, DHS) start from age 15; not 10-14

• More disaggregation possible with household survey data, but small sample sizes for

15-19 year olds cannot allow for meaningful adolescent-specific analysis

Behavioural Surveillance Surveys

Indicator definitions, disaggregations, study methodologies often not harmonized within and across countries, hence difficult to have any meaningful comparisons

Sometimes the geographic scope and target populations change from one study to another www.aids2014.org

Age at first sex, ever had an HIV test, and condom use at last sex with client among sex

workers/entertainment workers in selected countries with data available

Country Data collection sites

Sampling strategy

Age at first sex % ever had HIV test % used condom at last sex with client

Indonesia, 2011 IBBS*

(Secondary analysis)

(no information on study sample, sample size or age of respondents)

Cambodia, 2010 BSS

Female Entertainment

Workers(FEW); no information on age of respondents

Sample=1132

India, 2006 BSS

Female sex workers (no information on age of respondents)

Sample=7417

8 provinces Information not available

<15: 3-34%

15-19: 57-73%

20-24: 7-27%

15-19: 28%

20-24: 40%

25+: 37%

Phnom Penh,

Kampong Som,

Kampong

Cham, Siem

Reap and

Battambong

Stratified, two stage cluster sampling

Information not available

Two-stage cluster sampling

Mean: 18.9

Median: 18

Information not available

Median: 17 CI (13-21) Information not available

<15: 24% (19.3–28.7)

16-18: 46% (40.5–51.5)

19-21: 23% (18.5–27.7)

22-25: 6% (3.4–8.6)

>25: 1% (4.2–9.8)

15-19: 52%

20-24: 63%

25+: 68%

Information not available

Information not available

-Over 60% of adolescent key populations, had first sex by age 15-19;

-HIV testing is low;

Papua New Guinea, 2010 IBBSS

Female sex workers (age 14+ years) - 441

Male sex workers (age 9+ years)

– 96

Transgender male to female sex workers (no age specified) - 56

Port Moresby Respondent driven sampling

(RDS)

*Age disaggregated data available from secondary analysis of 2007-2009 IBBS data

**For Papua New Guinea, age of entry into sex work (age at first transactional sex)

**Women:

<11:%

11-15: 10%

16-20: 63%

21-25: 12%

>25: 14%

Information not available

Last vaginal sex:

FSW

All: 80%

<25: 74%

≥25: 85%

(GARPR 2012) www.aids2014.org

Some data challenges

Population size & HIV estimates of adolescents and young key populations

– Unknown population size estimates

– Limited epidemiologoical data on adolescent and young key populations

– Wide uncertainties of HIV estimates for adolescents living with

HIV, new infections and AIDS-related deaths

Legal, programmatic and ethical barriers

• Age of consent laws, policies and ethical barriers to HIV programming for adolescents also hinder data collection, availability and use

– Need for parental consent for interviews;

– Contradictory laws on age of consent for marriage, sex, and access to medical services

• Discriminatory laws and criminalization of key populations behaviours www.aids2014.org

What is the Way forward?

• Age disaggregation of routine programme data – access, coverage and quality of HIV testing, ART, retention and HIV-related health outcomes and mortality

• Age expansion to 10-14 years in standard household and BSS surveys – but need a decision on the specific topics/questions or indicators to include

Oversampling of adolescent respondents in standard household and BSS surveys to allow reasonable sample sizes

• Harmonize indicator definitions, age and other disaggregations, including study methodologies for adolescent and young key populations

• Technical guidance and support for adolescent and young key populations

HIV data collection, analysis and use

• High level advocacy needed to address legal, policy, programmatic and ethical barriers to HIV data collection and use for adolescent and young key populations www.aids2014.org

www.aids2014.org

Acknowledgements

Shirley Mark Prabhu

Tyler Porth

Wing-Sie Cheng

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