Joint Programming Initiative

More Years, Better Lives

The Potential and Challenges of Demographic Change

Austrian Health Interview Survey (AHIS)
Österreichische Gesundheitsbefragung

Topic
Health and Performance
Wellbeing
Relevance for this Topic
Country Austria
URL
Aggregate data tables: www.statistik.at/.../publdetail
Aggregate data tables: www.statistik.at/.../publdetail
More Topics

Governance

Contact information

Jeannette Klimont/ Demography and Labour Market
Statistik Austria
Guglgasse 13
1110 Vienna
Austria
Phone: +4431711288277
Email: jeannette.klimont(at)statistik.gv.at
Url: Aggregate data tables: www.statistik.at/.../publdetail

Timeliness, transparency

Data was collected at various points over the course of 2006-2007 and the main findings were published in 2007.

Type of data


Survey

Type of Study

Cross-section, regular


Cross-sectional, regular (5 year intervals from next wave onwards)

Data gathering method

Face-to-face interview (CAPI, PAPI)


Only (CAPI).

Type of data


Survey

Type of Study

Cross-section, regular


Cross-sectional, regular (5 year intervals from next wave onwards)

Data gathering method

Face-to-face interview (CAPI, PAPI)


Access to data

Conditions of access


Free access upon request to individual level, microdata


Anonymised microdata


SPSS


Reports and aggregate data tables are only available in German; Microdata

Access to data

Conditions of access


Free access upon request to individual level, microdata


Anonymised microdata


SPSS


Reports and aggregate data tables are only available in German; Microdata


Coverage


2006-2007 was the first year AHIS was undertaken as an independent initiative, with an entirely different survey design and concept, based on the European Health Information Survey (EHIS). In previous years (1973,1983,1991,1999), the survey was carried out as part of Austria's Microcensus. Gross sample from each of the 32 Care Service Regions (Versorgungsregionen): 770; for the three Public Service Regions within Vienna: 933. Total gross sample size : 25,130. Actual sample size from each Region: 483, for Regions within Vienna: 48. Total actual sample size: 15,474.


2006-2007


Stratified by region


Central Registry (Zentrale Melderegister)


Each of Austria's 32 Care Service Regions were sampled.


Ages 15 and over


Though people in old-age institutions and nursing homes were included in the random sampling, they are underrepresented as a group in the total actual sample size.


This survey collected data on physical and mental health status, the need for care and/or support, Health determinants (alcohol/drug consumption, physical activity, BMI), frequency of medical consultations/check-ups, demand for health services abroad, wait lists for operations, medication, and basic socio-demographic (age, gender, nationality) and socio-econiomic indicators (profession, income, education). Corresponds to Health and Performance and Wellbeing Topics


• "Austrian Health Interview Survey 2006/07: Main findings and methodology report" (Österreichische Gesundheitsbefragung 2006/07: Hauptergebnisse und methodische Dokumentation) • "Socio-demographic and socio-economic determinants of health: Analysis of data from the Austrian Health Interview Survey" (Sozio-demographische und sozio-ökonomische Determinanten von Gesundheit: Auswertungen der Daten aus der Österreichischen Gesundheitsbefragung)

Coverage


2006-2007 was the first year AHIS was undertaken as an independent initiative, with an entirely different survey design and concept, based on the European Health Information Survey (EHIS). In previous years (1973,1983,1991,1999), the survey was carried out as part of Austria's Microcensus. Gross sample from each of the 32 Care Service Regions (Versorgungsregionen): 770; for the three Public Service Regions within Vienna: 933. Total gross sample size : 25,130. Actual sample size from each Region: 483, for Regions within Vienna: 48. Total actual sample size: 15,474.


2006-2007


Stratified by region


Central Registry (Zentrale Melderegister)


Each of Austria's 32 Care Service Regions were sampled.


Ages 15 and over


Though people in old-age institutions and nursing homes were included in the random sampling, they are underrepresented as a group in the total actual sample size.


This survey collected data on physical and mental health status, the need for care and/or support, Health determinants (alcohol/drug consumption, physical activity, BMI), frequency of medical consultations/check-ups, demand for health services abroad, wait lists for operations, medication, and basic socio-demographic (age, gender, nationality) and socio-econiomic indicators (profession, income, education). Corresponds to Health and Performance and Wellbeing Topics


• "Austrian Health Interview Survey 2006/07: Main findings and methodology report" (Österreichische Gesundheitsbefragung 2006/07: Hauptergebnisse und methodische Dokumentation) • "Socio-demographic and socio-economic determinants of health: Analysis of data from the Austrian Health Interview Survey" (Sozio-demographische und sozio-ökonomische Determinanten von Gesundheit: Auswertungen der Daten aus der Österreichischen Gesundheitsbefragung)


Linkage


Use of ISCED and ISCO


As the AHIS was previously contained within the Microcensus and uses personal identifiers from the Central Registry, it should be possible to link with other national databases. There is, however, a break in comparability between the 2006/2007 AHIS and ones undertaken in previous years. Going forward, linkage with cross-national databases will be possible given its integration with the EHIS. Linkage with other countries piloting the survey is limited for the 2006/2007 year as Austria did not use the final version of the EHIS designed by Eurostat.

Linkage


Use of ISCED and ISCO


As the AHIS was previously contained within the Microcensus and uses personal identifiers from the Central Registry, it should be possible to link with other national databases. There is, however, a break in comparability between the 2006/2007 AHIS and ones undertaken in previous years. Going forward, linkage with cross-national databases will be possible given its integration with the EHIS. Linkage with other countries piloting the survey is limited for the 2006/2007 year as Austria did not use the final version of the EHIS designed by Eurostat.


Data quality


As data collection was computer-assisted, quality checking was undertaken while still in the data collection phase. Item-non-responses were imputed. In order to balance out the distortions caused by missing data and data stratification, collected data was weighted.


There were no breaks reported by the data collection team or by the responsible institution. Interview manuals were used to ensure the consistency of the definitions and terminology used.


Interviewers were required to complete training before going into the field to ensure familiarity and consistency in terminology and coding.

Data quality


As data collection was computer-assisted, quality checking was undertaken while still in the data collection phase. Item-non-responses were imputed. In order to balance out the distortions caused by missing data and data stratification, collected data was weighted.


There were no breaks reported by the data collection team or by the responsible institution. Interview manuals were used to ensure the consistency of the definitions and terminology used.


Interviewers were required to complete training before going into the field to ensure familiarity and consistency in terminology and coding.


Applicability


Strengths: Underlying mechanisms for differences in health status and healthcare use that can be analysed as environmental indicators are also assessed. The survey uses a wider definition of health by considering not only physical, but also mental health, and the use of harmonised data collection renders the data comparable with other international sources. The survey also includes the institutionalised population (albeit with caveats) and is consistent in its use of terminology and coding. Another major strength is that the survey design is harmonised with the EHIS and the data is internationally comparable (among participating EU countries). Weaknesses: Most health status indicators are self-assessed, and there are no biomarkers and limited objective indicators on health. The survey does not allow for researchers to track individuals over time and understand the mechanisms behind changes in their health conditions (e.g. unemployment, loss of close family members). There is also an under-representation of population institutions, which may limit the robustness of data for older age groups.

Applicability


Strengths: Underlying mechanisms for differences in health status and healthcare use that can be analysed as environmental indicators are also assessed. The survey uses a wider definition of health by considering not only physical, but also mental health, and the use of harmonised data collection renders the data comparable with other international sources. The survey also includes the institutionalised population (albeit with caveats) and is consistent in its use of terminology and coding. Another major strength is that the survey design is harmonised with the EHIS and the data is internationally comparable (among participating EU countries). Weaknesses: Most health status indicators are self-assessed, and there are no biomarkers and limited objective indicators on health. The survey does not allow for researchers to track individuals over time and understand the mechanisms behind changes in their health conditions (e.g. unemployment, loss of close family members). There is also an under-representation of population institutions, which may limit the robustness of data for older age groups.


  • The information about this dataset was compiled by the author:
  • Maria M. Hofmarcher
  • (see Partners)