d2_eBayesMed_Conference_ Agnieszka Broś, Piotr Woch

DIAGNOSIS-SPECIFIC MORBIDITY STATISTICS’

DATA

PROBLEMATIC ASPECTS

Based on experiences from work executed within an action

„Pilot projects on morbidity statistics”

According to the methodology specified in the guidebook

„Principles and guidelines for diagnosis-specific morbidity statistics”

Agnieszka Broś

Piotr Woch

Focal points

I.

II.

III.

IV.

V.

General information on the diagnosis-specific morbidity statistics’ project in Poland duration, aims, cooperation

National data sources – enumeration, assessment,

Methodology for producing best national estimates

Examples & problematic aspects

Future steps

General information on the action

Duration: 15 November 2009 - 14 May 2011

The reference year: 2006

Aims:

1. Inventory and description of all potential national sources for diagnosis- specific morbidity data which can be used to provide information about diseases listed in the Diagnosis-specific morbidity – European shortlist ,

SHORTLIST agreed by Eurostat: 60 diseases divided into 20 groups + 1 group covering

external causes of mortality and morbidity” (accidents, assault, poisoning, complications of medical procedures, etc.).

2. Elaboration of the methodology for producing best national estimates

3. Pilot data collection and testing of the proposed methodology, taking into account the results of former Eurostat projects.

4. Preparation of the final report on the action.

Cooperation – a key issue

Centre for Health Statistics in the Statistical Office in Krakow – leading role in the project

Series of working meetings and consultations with external experts

(from National Institute of Public Health, Oncology Centre, National Health Fund, Institute of Psychiatry and Neurology, Centre for Health Information Systems)

…on all steps of the project

 discussion of templates for data sources

 description and assessment of data sources

 analysis of available figures for required measures

(incidence, prevalence)

Problematic issues discussed with EUROSTAT

Templates in the project

Inventory of national data sources for diagnosis-specific morbidity statistics – template for general overview of the potential data sources

Broad description and evaluation of the data sources inventoried

Relationships between the measures (items on Shortlist) and data sources (potential and finally kept)

DATA SOURCES most important

& commonly used

Inventory of data sources for diagnosis-specific morbidity statistics (I)

First step - identification of all potential data sources

Register of tuberculosis

Notifications of sexually transmitted diseases

Notifications and registration of HIV/AIDS

Notifications of infectious diseases, infections and poisoning

Reports of influenza cases and suspicions of the influenza

National Cancer Register

General in-patient morbidity study

General out-patient morbidity study

Psychiatric morbidity study (out-patient & in-patient)

Inventory of data sources (II)

First step - identification of all potential data sources

Database of provided health care benefits in the framework of the in-patient and out-patient specialist care – NHF (National Health

Fund)

Population Health Status Survey in Poland (2004)

Statistical survey of mortality

Police’ databases (on road traffic accidents, attempted suicides, crimes)

Central Register of Occupational Diseases

Databases on disabled people (The Social Insurance Institution & The

Agricultural Insurance Fund)

Inventory of national data sources for diagnosis-specific morbidity data (I)

DIVISION & ASSESSMENT

Name of the source

Register of tuberculosis

Notification of sexually transmitted diseases

Notification and registration of

HIV/AIDS

Notifications of infectious diseases, infections and poisoning

National Cancer Register

General hospital morbidity study

General out-patient morbidity study

Psychiatric out-patient morbidity study

Psychiatric in-patient morbidity study

Database of provided health care benefits in the framework of the in-patient and specialist care - NHF

Reporting of influenza cases and suspicion of the influenza

MAIN DATA SOURCES

General assessment

4

2

4

4

4

4

4

4

4

4

3

ADDITIONAL SOURCES

Name of the source

The Population Health Status Survey in

Poland

Statistical survey of the mortality

Database on road traffic accidents

Database on attempted suicides

Database on crimes

Central Register of Occupational Diseases

Database on disabled people - SII

Database on disabled people - ASIF

Assessment criteria: relevance, accuracy, timeliness & punctuality, accessibility & clarity comparability (geographical and over time), coherence

Assessment scale: 1 - poor, 5 - very good

General assessment

2

1

2

1

1

2

3

2

Inventory of national data sources (II)

FURTHER DIVISION BASED ON PREVIOUS ASSESSMENT

Highest rated (mark: 4) – used during project

DATA SOURCES

Name of the source

Register of tuberculosis

General assessment

4 Main advantages:

Notification and registration of HIV/AIDS

Notifications of infectious diseases, infections and poisonings

National Cancer Register

General hospital morbidity study

4

4

4

4

confirmation of each case through medical diagnosis

continuity of data supply

General out-patient morbidity study 4

Psychiatric out-patient morbidity study

Psychiatric in-patient morbidity study

Database of provided health care benefits in the framework of the in-patient and specialist care - NHF

4

4

4

whole population covered

Inventory of national data sources (III)

FURTHER DIVISION BASED ON PREVIOUS ASSESSMENT

Lowest rated (mark: 1-2) - rejected

ADDITIONAL SOURCES

Name of the source

General assessment

Database on attempted suicides -

General Headquarter of Police

Database on crimes - General

Headquarter of Police

Central Register of Occupational

Diseases – Institute of Occupational

Medicine

Database on disabled people –

The Social Insurance Institution

2

1

2

1

Database on disabled people –

The Agriculture Social Insurance Fund

1

Main disadvantages:

• Lack of cases’ confirmation through

medical diagnosis (police’s data)

• Reference to population groups, not to general population

(databases on disabled people,

Register on Occupational Diseases)

Examples

E XAMPLES

&

& problematic aspects

PROBLEMATIC ASPECTS

Methodology for producing best national estimates

Possible ways to approach the production of best estimates (proposed by Eurostat)

and their usage during the realization of project:

 a one to one relation - with a direct connection between the source and the required measure (for a position of the shortlist of diseases),

 the most frequent one combination of data from various sources

 only for several diseases adjustment of data source in order to find the "perfect figure”

 period prevalence on the basis of „Data on out-patient and in-patient morbidity – NHF”

 incidence per episode on the basis of „General out-patient morbidity study”

All calculated figures inserted in a table for data submission for Eurostat .

Tuberculosis [A15-A18, B90]

Data requirements: incidence by episode, period prevalence

Potential data sources:

Register of tuberculosis,

General hospital morbidity study

General out-patient morbidity study

Database of provided health care benefits in the framework of the in-patient and out-patient specialist care – NHF

Incidence by episode – calculated on the basis of TB cases reported to the

Register of tuberculosis

Period prevalence – calculated on the basis of data from National Health

Fund

Tuberculosis – a one to one relationship & adjustment

Incidence by episode Period prevalence

Register of tuberculosis

APPLIED

All TB cases subjected to the obligatory reporting

Under-registration:

• changeability in annual incidence occurred

– lack of stability in the scope of detecting and registration,

• insufficient knowledge about diagnostic procedures among physicians detected TB among children

Unsatisfactory proportion of cases confirmed by bacteriological tests

NHF database

APPLIED

All patients treated in hospitals and by specialists

No information on GP’s patients

General hospital morbidity study

REJECTED

General outpatient morbidity study

Hospital study: only in-patients

Out-patient study: no data on out-patients cured in specialist care

All malignant neoplasms (cancer) [C00-C97]

Data requirements: incidence by person, period prevalence (5 years)

Potential data sources:

National Cancer Register (NCR)

General hospital morbidity study

Database of provided health care benefits in the framework of the hospital and outpatient specialist care – NHF

NCR as a basis for calculation:

Cancer incidence - diagnosis of disease with histological or cytological symptoms or proved by imaging examination or clinic imaging. There can be a few primary cancer sites for a single person.

5-year prevalence – the number of people living with cancer disease, who have been diagnosed within the last 5 years. Total prevalence should be calculated on the basis of cancer registry data. The NCR does not possesses a long enough horizon of data (20-30 years) to determine the total prevalence, thus 5-year prevalence is applied.

All malignant neoplasm – a one to one relationship

Incidence by episode Period prevalence

National Cancer

Registry

APPLIED

National Cancer

Registry

APPLIED

Obligatory reporting: doctors → 16 regional registries (verification, completion) → NCR (next control and medical verification; publishing annual report

5-year prevalence was estimated by NCR on the basis of incidence data and the 5-year survival rates calculated for the Polish population for patients diagnosed in 2000-2002

Estimated coverage of the NCR exceeds 85%:

before estimation: M – 63,9; W - 60,9 (in thous.)

after estimation: M – 75,2; W - 72,0 (in thous.)

General hospital morbidity study

REJECTED

Hospital study: only in-patients

Non-uniform under-registration across the country (high intervoivodship differences)

Registration completeness depends on the cancer site

(location) and age group considered

NHF database REJECTED

No information on GP’s patients

Acute myocardial infarction (AMI) [I21, I22]

Data requirements: incidence by person, period prevalence

Potential data sources:

General hospital morbidity study

Database of provided health care benefits in the framework of the hospital and out-patient specialist care – NHF

Acute myocardial infarction can be diagnosed based on clinical characteristics, electrocardiographic (ECG), biochemical and pathological. The guidelines apply to people with symptoms of ischemia and persistent ST segment elevation in the ECG

(STEMI). In most of these patients stated a significant increase in levels of biochemical markers of myocardial necrosis and the formation of the typical heart attack pathological Q wave (according to the guidelines of the European Society of

Cardiology - ESC).

AMI – combination of data sources & adjustment

Incidence by person Period prevalence

General hospital morbidity study

NHF database

APPLIED

APPLIED

Statistical survey on mortality

Combination of data from 2 sources:

General hospital morbidity study: number of discharged patients with AMI (including deaths in hospitals)

Mortality data: number of deaths due to AMI outside the hospital (including persons not previously treated for the

AMI in the hospital)

All patients treated in hospitals and by specialists in outpatient settings

No information on GP’s patients

Diabetes mellitus [E10-E14]

Data requirements: incidence by person, period prevalence, point prevalence

According to „Clinical recommendations for dealing with diabetes in 2010”, diagnostics, education and treatment of diabetes are conducted mailnly in primary

care by GPs and in the specialised care by medical professionals. In case of complications, exacerbations and inability to achieve therapeutic effects in an outpatient care, there is a need for in-patient treatment

As a part of the specialist care – there are made the specialist diagnostics of all types diabetes and treatment of monogenic diabetes and diabetes co-occurring with other diseases.

Both - incidence by person and period prevalence - were estimated on the basis of

the General out-patient morbidity study - the only one source of data on diabetes mellitus from primary out-patient care.

Diabetes mellitus – a one to one relationship

Incidence by person Period prevalence

General outpatient morbidity study

APPLIED

General outpatient morbidity study

Data are provided by primary care physicians/ family doctors by whom DM is mainly diagnosed

No data by sex and 5-year age groups available, only data for 0-18 and 19+ age groups

APPLIED

NHF database

REJECTED

No information on GP’s patients

Figure from this source 36,9% smaller than the number from General outpatient morbidity study

Point prevalence

NO DATA SOURCE

Dementia (incl. Alzheimer disease) [F00-F03, G30]

Data requirements: period prevalence

Dementia case – recognized on the basis of clinical symptoms by a psychiatrist who orders proper pharmaceutical, psychological and psychoterapeutic treatment.

Cases under consideration include:

Dementia in Alzheimer’s disease [F00, G30],

Vascular dementia (effect of brain infarction) [F01],

Dementia in other diseases elsewhere classified (Pick’s, Creutzfeld-Jakob’s,

Huntington’s diseases, HIV) [F02]

Unspecified dementia [F03]

These diagnoses can be derived from psychiatric in-patient morbidity study which is based on individual statistical cards of patients.

Psychiatric out-patient morbidity study – wider range of codes [additionally: F04,

F05, F06, F07, F09]; no identification of patients (only data on the aggregated level)

Dementia – combination of data sources & adjustment

Period prevalence

NHF database (outpatients only)

Psychiatric in-patient morbidity study

APPLIED

NHF – patients with a diagnosis corresponding to the required range of

ICD-10 codes [F00-F03, G30] – counted only once (identified by PESEL number)

Psychiatric in-patient study:

• the required ICD-10 codes available,

• individual records derived from statistical cards

Psychiatric out-patient morbidity study

REJECTED

Psychiatric in-patient morbidity study

Connection of these data sources is improper

Reasons:

Out-patient morbidity study

• wider range of codes than required

• possibility of double-counting – a patient using in-patient and out-patient psychiatric care in the same calendar year

• no possibility for identification an individual patient

Human immunodeficiency virus disease (HIV/AIDS)

[B20-B24, Z21]

Data requirements: incidence by person, period prevalence, point prevalence

Cases of HIV/AIDS are defined in the system of reporting communicable diseases. The basis of diagnosis are clinical symptoms and/or immunological confirmation.

HIV infection – diagnosis based on laboratory criteria for HIV infection or AIDS diagnosis. There are detailed laboratory criteria for diagnosis, different for children under the age of 18 months and for the rest of people – adults, adolescents and children over 18 months.

AIDS – includes persons infected with HIV who have any of 28 clinical conditions listed in the European case definition for AIDS applied for epidemiological surveillance (European AIDS surveillance case definition)

HIV/AIDS register (notification and registration of HIV/AIDS) – was found as the best data source

HIV/AIDS – a one to one relationship

Incidence by episode Period prevalence

Register of

HIV/AIDS

APPLIED

Under-registration of seropositive cases:

• unawareness of disease

• confidentiality (sum of data in age groups ≠ total )

Register of

HIV/AIDS

APPLIED

Adjustment = all registered – deceased

(from the beginning of registration to the end of 2005)

Point prevalence

General hospital morbidity study

REJECTED

Difficulties in estimation of the number of seropositive cases:

• no proper indication of new (first time) cases overestimation

• no all HIV/AIDS cases are hospitalized underestimation

Register of

HIV/AIDS

APPLIED

Adjustment = all registered as of 30 December

2006 – deceased (from the beginning of registration to the end of 2006)

Missing data

INCOMPLETE DATA IN AGE AND GENDER

GROUPS

Incidence by episode

Sum of numbers in age groups ≠ total number

HIV/AIDS

Those listed on a register may retain their anonymity (age, gender)

Land transport accidents’ victims

For some cases no information on age and gender

NO RELAIBLE DATA SOURCE IDENTIFIED

Incidence and prevalence

Pneumonia [J12-J18]

Accidental falls [W00-W19]

Accidental poisoning [X40-X49]

Intentional self harm (incl. suicidal attempt)

[X60-X84]

Assault [X85-Y09]

Medical and surgical complications

[Y40-Y66, Y69-Y84]

Period prevalence

Rheumatoid arthritis [M05, M06]

Arthrosis [M15-M19]

Future steps

Goal: regular morbidity data collection within the ESS

Task Force on morbidity statistics (TF MORB) was established

Fit existing methodological tools to that goal by

Analysis of results of 16 pilot studies in MS (stress on quality, reliability and comparability across MS)

10 MS before 2009 (AT, CY, CZ, EE, HU, LT, LV, MT, SL, SI); for 6 MS (BE, DE, NL, RO, PL, FI) final report sent by autumn 2011

If needed, revise the existing methodology: guidelines, shortlist of diseases

Deliverables discussed at a Technical Group MORB meeting

Finalisation of the documents by November 2012

Thank you for the

ATTENTION !!!