Joint Programming Initiative

More Years, Better Lives

The Potential and Challenges of Demographic Change

Health Interview Survey
Gezondheidsenquête door Interview

Topic
Wellbeing
Health and Performance
Social Systems and Welfare
Housing, Urban Development and Mobility
Relevance for this Topic
Country Belgium
URL
his.wiv-isp.be
his.wiv-isp.be
his.wiv-isp.be
his.wiv-isp.be
More Topics

Governance

Contact information

Jean Tafforeau
Scientific Institute for Public Health
Rue Juliette Wytsman, 14
1050 Brussels
Belgium
Phone: +32 2 6425111
Fax: +32 2 6425001
Email: his(at)wiv-isp.be
Url: his.wiv-isp.be

Timeliness, transparency

About two years between collection and publication of results

Type of data


Survey

Type of Study

Longitude survey: long-term study of random or different samples

Data gathering method

Face-to-face interview (CAPI, PAPI)

Self-administered questionnaire


Proxy interviews are used to interview older individuals not capable of answering themselves.

Type of data


Survey

Type of Study

Longitude survey: long-term study of random or different samples

Data gathering method

Face-to-face interview (CAPI, PAPI)

Self-administered questionnaire


Proxy interviews are used to interview older individuals not capable of answering themselves.

Type of data


Survey

Type of Study

Longitude survey: long-term study of random or different samples

Data gathering method

Face-to-face interview (CAPI, PAPI)

Self-administered questionnaire


Proxy interviews are used to interview older individuals not capable of answering themselves.

Type of data


Survey

Type of Study

Longitude survey: long-term study of random or different samples

Data gathering method

Face-to-face interview (CAPI, PAPI)

Self-administered questionnaire


Proxy interviews are used to interview older individuals not capable of answering themselves.


Access to data


Microdata are accessible via downloadable files available upon request (both for use by administrations, academic and non-academic scientific research). The online interactive analysis module is freely available for a wider audience.

Conditions of access


For 1997, 2001 and 2004 data: no fee for (national and foreign) government administrations; single fee of €1,600 for universities and academic research departments; minimum fee of €5,500 for other research institutes (amount is decided by the Commissioners [Commissie van Opdrachtgevers/Commission des Commanditaires]). The research contract is based on the project description, motivation and specification of requested variables. For 2008 data: no fee for (national and foreign) government administrations; single fee of €1,750 for universities and academic research departments; minimum fee of €6,000 for other research institutes (amount is decided by the Commissioners). The research contract is based on the project description, motivation and specification of requested variables.


Maximum 2 months


Anonymised microdata; aggregated tables in online module


SAS, SPSS, STATA


Data is available in Dutch, French and English.

Access to data


Microdata are accessible via downloadable files available upon request (both for use by administrations, academic and non-academic scientific research). The online interactive analysis module is freely available for a wider audience.

Conditions of access


For 1997, 2001 and 2004 data: no fee for (national and foreign) government administrations; single fee of €1,600 for universities and academic research departments; minimum fee of €5,500 for other research institutes (amount is decided by the Commissioners [Commissie van Opdrachtgevers/Commission des Commanditaires]). The research contract is based on the project description, motivation and specification of requested variables. For 2008 data: no fee for (national and foreign) government administrations; single fee of €1,750 for universities and academic research departments; minimum fee of €6,000 for other research institutes (amount is decided by the Commissioners). The research contract is based on the project description, motivation and specification of requested variables.


Maximum 2 months


Anonymised microdata; aggregated tables in online module


SAS, SPSS, STATA


Data is available in Dutch, French and English.

Access to data


Microdata are accessible via downloadable files available upon request (both for use by administrations, academic and non-academic scientific research). The online interactive analysis module is freely available for a wider audience.

Conditions of access


For 1997, 2001 and 2004 data: no fee for (national and foreign) government administrations; single fee of €1,600 for universities and academic research departments; minimum fee of €5,500 for other research institutes (amount is decided by the Commissioners [Commissie van Opdrachtgevers/Commission des Commanditaires]). The research contract is based on the project description, motivation and specification of requested variables. For 2008 data: no fee for (national and foreign) government administrations; single fee of €1,750 for universities and academic research departments; minimum fee of €6,000 for other research institutes (amount is decided by the Commissioners). The research contract is based on the project description, motivation and specification of requested variables.


Maximum 2 months


Anonymised microdata; aggregated tables in online module


SAS, SPSS, STATA


Data is available in Dutch, French and English.

Access to data


Microdata are accessible via downloadable files available upon request (both for use by administrations, academic and non-academic scientific research). The online interactive analysis module is freely available for a wider audience.

Conditions of access


For 1997, 2001 and 2004 data: no fee for (national and foreign) government administrations; single fee of €1,600 for universities and academic research departments; minimum fee of €5,500 for other research institutes (amount is decided by the Commissioners [Commissie van Opdrachtgevers/Commission des Commanditaires]). The research contract is based on the project description, motivation and specification of requested variables. For 2008 data: no fee for (national and foreign) government administrations; single fee of €1,750 for universities and academic research departments; minimum fee of €6,000 for other research institutes (amount is decided by the Commissioners). The research contract is based on the project description, motivation and specification of requested variables.


Maximum 2 months


Anonymised microdata; aggregated tables in online module


SAS, SPSS, STATA


Data is available in Dutch, French and English.


Coverage


Wave 1: Data were collected in 1997, reference year was 1997, and the sample size was 10,221. Wave 2: Data were collected in 2001, reference year was 2001, and the sample size was 12,050. Wave 3: The data were collected in 2004, reference year was 2004, and the sample size was 12, 945. Wave 4: The data were collected in 2008, reference year was 2008, and the sample size was 11,254. Wave 5: The data were collected in 2013 and the reference year was 2013. The survey is in progress and therefore, the sample size is still unknown.


1997


In all research waves, the sample was stratified by region (Flanders, Wallonia and Brussels Capital Region). The samples were stratified by province in wave 2 (2001, German speaking Community, Antwerp, Limburg, Hainaut and Luxembourg), wave 3 (2004, German speaking Community, Limburg and Luxembourg) and in wave 4 (2008,German speaking Community). The samples have been stratified by age during wave 4 (2004, 65 years and over) and wave 5 (2008, 75 years and over).


National Register


Belgium, breakdown by region (Flanders, Wallonia, Brussels Capital Region)


Population aged 15 years and over


For Belgium, the Health Interview Survey is the single most important dataset to study health and performance of the elderly population (e.g. the questionnaire contains several items on subjective and objective health status, health status and lifestyle, the use of health and social care). In addition, the dataset can be used to evaluate wellbeing (e.g. the role of health and access to health care in the wellbeing of older people, and how this compares with younger people).


The following studies make use of the Health Interview Survey data. • Hoeck, S., Francois, G., Van Der Heyden, J., Geerts, J., & Van Hal, G. “Healthcare utilisation among the Belgian elderly in relation to their socio-economic status”. Health policy 99(2) (2011): 174-183. • Hoeck, S., Francois, G., Geerts, J., Van der Heyden, J. D., Vandewoude, M., & Van Hal, G. “Health-care and home-care utilization among frail elderly persons in Belgium”. European Journal Of Public Health 22(5) (2012): 671-677. • Van Oyen, H., Cox, B., Demarest, S., Deboosere, P., & Lorant, V. “Trends in health expectancy indicators in the older adult population in Belgium between 1997 and 2004”. European Journal of Ageing 5(2) (2008): 137-146.

Coverage


Wave 1: Data were collected in 1997, reference year was 1997, and the sample size was 10,221. Wave 2: Data were collected in 2001, reference year was 2001, and the sample size was 12,050. Wave 3: The data were collected in 2004, reference year was 2004, and the sample size was 12, 945. Wave 4: The data were collected in 2008, reference year was 2008, and the sample size was 11,254. Wave 5: The data were collected in 2013 and the reference year was 2013. The survey is in progress and therefore, the sample size is still unknown.


1997


In all research waves, the sample was stratified by region (Flanders, Wallonia and Brussels Capital Region). The samples were stratified by province in wave 2 (2001, German speaking Community, Antwerp, Limburg, Hainaut and Luxembourg), wave 3 (2004, German speaking Community, Limburg and Luxembourg) and in wave 4 (2008,German speaking Community). The samples have been stratified by age during wave 4 (2004, 65 years and over) and wave 5 (2008, 75 years and over).


National Register


Belgium, breakdown by region (Flanders, Wallonia, Brussels Capital Region)


Population aged 15 years and over


For Belgium, the Health Interview Survey is the single most important dataset to study health and performance of the elderly population (e.g. the questionnaire contains several items on subjective and objective health status, health status and lifestyle, the use of health and social care). In addition, the dataset can be used to evaluate wellbeing (e.g. the role of health and access to health care in the wellbeing of older people, and how this compares with younger people).


The following studies make use of the Health Interview Survey data. • Hoeck, S., Francois, G., Van Der Heyden, J., Geerts, J., & Van Hal, G. “Healthcare utilisation among the Belgian elderly in relation to their socio-economic status”. Health policy 99(2) (2011): 174-183. • Hoeck, S., Francois, G., Geerts, J., Van der Heyden, J. D., Vandewoude, M., & Van Hal, G. “Health-care and home-care utilization among frail elderly persons in Belgium”. European Journal Of Public Health 22(5) (2012): 671-677. • Van Oyen, H., Cox, B., Demarest, S., Deboosere, P., & Lorant, V. “Trends in health expectancy indicators in the older adult population in Belgium between 1997 and 2004”. European Journal of Ageing 5(2) (2008): 137-146.

Coverage


Wave 1: Data were collected in 1997, reference year was 1997, and the sample size was 10,221. Wave 2: Data were collected in 2001, reference year was 2001, and the sample size was 12,050. Wave 3: The data were collected in 2004, reference year was 2004, and the sample size was 12, 945. Wave 4: The data were collected in 2008, reference year was 2008, and the sample size was 11,254. Wave 5: The data were collected in 2013 and the reference year was 2013. The survey is in progress and therefore, the sample size is still unknown.


1997


In all research waves, the sample was stratified by region (Flanders, Wallonia and Brussels Capital Region). The samples were stratified by province in wave 2 (2001, German speaking Community, Antwerp, Limburg, Hainaut and Luxembourg), wave 3 (2004, German speaking Community, Limburg and Luxembourg) and in wave 4 (2008,German speaking Community). The samples have been stratified by age during wave 4 (2004, 65 years and over) and wave 5 (2008, 75 years and over).


National Register


Belgium, breakdown by region (Flanders, Wallonia, Brussels Capital Region)


Population aged 15 years and over


For Belgium, the Health Interview Survey is the single most important dataset to study health and performance of the elderly population (e.g. the questionnaire contains several items on subjective and objective health status, health status and lifestyle, the use of health and social care). In addition, the dataset can be used to evaluate wellbeing (e.g. the role of health and access to health care in the wellbeing of older people, and how this compares with younger people).


The following studies make use of the Health Interview Survey data. • Hoeck, S., Francois, G., Van Der Heyden, J., Geerts, J., & Van Hal, G. “Healthcare utilisation among the Belgian elderly in relation to their socio-economic status”. Health policy 99(2) (2011): 174-183. • Hoeck, S., Francois, G., Geerts, J., Van der Heyden, J. D., Vandewoude, M., & Van Hal, G. “Health-care and home-care utilization among frail elderly persons in Belgium”. European Journal Of Public Health 22(5) (2012): 671-677. • Van Oyen, H., Cox, B., Demarest, S., Deboosere, P., & Lorant, V. “Trends in health expectancy indicators in the older adult population in Belgium between 1997 and 2004”. European Journal of Ageing 5(2) (2008): 137-146.

Coverage


Wave 1: Data were collected in 1997, reference year was 1997, and the sample size was 10,221. Wave 2: Data were collected in 2001, reference year was 2001, and the sample size was 12,050. Wave 3: The data were collected in 2004, reference year was 2004, and the sample size was 12, 945. Wave 4: The data were collected in 2008, reference year was 2008, and the sample size was 11,254. Wave 5: The data were collected in 2013 and the reference year was 2013. The survey is in progress and therefore, the sample size is still unknown.


1997


In all research waves, the sample was stratified by region (Flanders, Wallonia and Brussels Capital Region). The samples were stratified by province in wave 2 (2001, German speaking Community, Antwerp, Limburg, Hainaut and Luxembourg), wave 3 (2004, German speaking Community, Limburg and Luxembourg) and in wave 4 (2008,German speaking Community). The samples have been stratified by age during wave 4 (2004, 65 years and over) and wave 5 (2008, 75 years and over).


National Register


Belgium, breakdown by region (Flanders, Wallonia, Brussels Capital Region)


Population aged 15 years and over


For Belgium, the Health Interview Survey is the single most important dataset to study health and performance of the elderly population (e.g. the questionnaire contains several items on subjective and objective health status, health status and lifestyle, the use of health and social care). In addition, the dataset can be used to evaluate wellbeing (e.g. the role of health and access to health care in the wellbeing of older people, and how this compares with younger people).


The following studies make use of the Health Interview Survey data. • Hoeck, S., Francois, G., Van Der Heyden, J., Geerts, J., & Van Hal, G. “Healthcare utilisation among the Belgian elderly in relation to their socio-economic status”. Health policy 99(2) (2011): 174-183. • Hoeck, S., Francois, G., Geerts, J., Van der Heyden, J. D., Vandewoude, M., & Van Hal, G. “Health-care and home-care utilization among frail elderly persons in Belgium”. European Journal Of Public Health 22(5) (2012): 671-677. • Van Oyen, H., Cox, B., Demarest, S., Deboosere, P., & Lorant, V. “Trends in health expectancy indicators in the older adult population in Belgium between 1997 and 2004”. European Journal of Ageing 5(2) (2008): 137-146.


Linkage


Standardised instruments of the World Health Organisation’s working group on the ‘Harmonisation of methods and instruments in health interview surveys’ are used, as well as alternative instruments and scales already used in similar health interview surveys (either in Belgium or abroad). Official translations of specific terms are also available.


National Register numbers are not provided to external researchers in order to protect the privacy of the participating households. However, linkages with other databases are possible since interview information can be linked to the National Register number of the participating individuals. In doing so, collaboration with the Scientific Institute for Public Health, Statistics Belgium and the Crossroads Bank for Social Security [Kruispuntbank van de Sociale Zekerheid/Banque Carrefour de la Sécurité Sociale] is necessary.

Linkage


Standardised instruments of the World Health Organisation’s working group on the ‘Harmonisation of methods and instruments in health interview surveys’ are used, as well as alternative instruments and scales already used in similar health interview surveys (either in Belgium or abroad). Official translations of specific terms are also available.


National Register numbers are not provided to external researchers in order to protect the privacy of the participating households. However, linkages with other databases are possible since interview information can be linked to the National Register number of the participating individuals. In doing so, collaboration with the Scientific Institute for Public Health, Statistics Belgium and the Crossroads Bank for Social Security [Kruispuntbank van de Sociale Zekerheid/Banque Carrefour de la Sécurité Sociale] is necessary.

Linkage


Standardised instruments of the World Health Organisation’s working group on the ‘Harmonisation of methods and instruments in health interview surveys’ are used, as well as alternative instruments and scales already used in similar health interview surveys (either in Belgium or abroad). Official translations of specific terms are also available.


National Register numbers are not provided to external researchers in order to protect the privacy of the participating households. However, linkages with other databases are possible since interview information can be linked to the National Register number of the participating individuals. In doing so, collaboration with the Scientific Institute for Public Health, Statistics Belgium and the Crossroads Bank for Social Security [Kruispuntbank van de Sociale Zekerheid/Banque Carrefour de la Sécurité Sociale] is necessary.

Linkage


Standardised instruments of the World Health Organisation’s working group on the ‘Harmonisation of methods and instruments in health interview surveys’ are used, as well as alternative instruments and scales already used in similar health interview surveys (either in Belgium or abroad). Official translations of specific terms are also available.


National Register numbers are not provided to external researchers in order to protect the privacy of the participating households. However, linkages with other databases are possible since interview information can be linked to the National Register number of the participating individuals. In doing so, collaboration with the Scientific Institute for Public Health, Statistics Belgium and the Crossroads Bank for Social Security [Kruispuntbank van de Sociale Zekerheid/Banque Carrefour de la Sécurité Sociale] is necessary.


Data quality


Until 2008, data were collected via face-to-face, paper-and-pencil questionnaires (PAPI). An extensive manual is provided for the data entry operators. After the data input, a vertical and horizontal control procedure are executed to compensate for errors in the data collection and the data entry. We have no knowledge of the extent to which data are found to be incomplete or redundant after the data collection. In the most recent round of data collection (2013), CAPI (computer-assisted personal interviewing) is used for the data collection, thus decreasing the risk for errors in the data collection.

Data quality


Until 2008, data were collected via face-to-face, paper-and-pencil questionnaires (PAPI). An extensive manual is provided for the data entry operators. After the data input, a vertical and horizontal control procedure are executed to compensate for errors in the data collection and the data entry. We have no knowledge of the extent to which data are found to be incomplete or redundant after the data collection. In the most recent round of data collection (2013), CAPI (computer-assisted personal interviewing) is used for the data collection, thus decreasing the risk for errors in the data collection.

Data quality


Until 2008, data were collected via face-to-face, paper-and-pencil questionnaires (PAPI). An extensive manual is provided for the data entry operators. After the data input, a vertical and horizontal control procedure are executed to compensate for errors in the data collection and the data entry. We have no knowledge of the extent to which data are found to be incomplete or redundant after the data collection. In the most recent round of data collection (2013), CAPI (computer-assisted personal interviewing) is used for the data collection, thus decreasing the risk for errors in the data collection.

Data quality


Until 2008, data were collected via face-to-face, paper-and-pencil questionnaires (PAPI). An extensive manual is provided for the data entry operators. After the data input, a vertical and horizontal control procedure are executed to compensate for errors in the data collection and the data entry. We have no knowledge of the extent to which data are found to be incomplete or redundant after the data collection. In the most recent round of data collection (2013), CAPI (computer-assisted personal interviewing) is used for the data collection, thus decreasing the risk for errors in the data collection.


Applicability


Strengths: A first strength relates to the survey’s content. A wide range of health items is questioned, resulting in an extensive picture of the health status and the health care use of the Belgian population. The inclusion of socio-demographic and socio-economic variables makes it possible to assess the existence of social inequalities with regards to health and health care use. Furthermore, the comparability of the Belgian Health Interview Survey with other international health-related surveys makes it available for international comparison. For this purpose, the Belgian Health Interview Survey is included in the European Health Surveys Information Database (EUHSID), an inventory of national or multi-country health surveys in the EU, EFTA (European Free Trade Association) countries, EU Candidate Countries and the USA, Canada and Australia (www.euhsid.org). A second strength of the Health Interview Survey refers to the composition of the sample, and more specifically to (1) the oversampling of the elderly population in the 2004 and 2008 waves of data collection, and (2) the inclusion of elderly permanently residing in residential care facilities. The recurrent character of the Health Interview Survey, with rounds of data collection every 4 years, allows for evolutions in the health status and health care use of the Belgian population to be monitored. In addition, it enhances possibilities to assess the influence of policy changes during subsequent research waves. Weaknesses: A weakness of the survey relates to the content of the data collection. In the Health Interview Survey, respondents are asked to report about their health problems. However, one could include more objective techniques to gather health status information (e.g. registration of the respondent’s blood pressure, height and weight).

Applicability


Strengths: A first strength relates to the survey’s content. A wide range of health items is questioned, resulting in an extensive picture of the health status and the health care use of the Belgian population. The inclusion of socio-demographic and socio-economic variables makes it possible to assess the existence of social inequalities with regards to health and health care use. Furthermore, the comparability of the Belgian Health Interview Survey with other international health-related surveys makes it available for international comparison. For this purpose, the Belgian Health Interview Survey is included in the European Health Surveys Information Database (EUHSID), an inventory of national or multi-country health surveys in the EU, EFTA (European Free Trade Association) countries, EU Candidate Countries and the USA, Canada and Australia (www.euhsid.org). A second strength of the Health Interview Survey refers to the composition of the sample, and more specifically to (1) the oversampling of the elderly population in the 2004 and 2008 waves of data collection, and (2) the inclusion of elderly permanently residing in residential care facilities. The recurrent character of the Health Interview Survey, with rounds of data collection every 4 years, allows for evolutions in the health status and health care use of the Belgian population to be monitored. In addition, it enhances possibilities to assess the influence of policy changes during subsequent research waves. Weaknesses: A weakness of the survey relates to the content of the data collection. In the Health Interview Survey, respondents are asked to report about their health problems. However, one could include more objective techniques to gather health status information (e.g. registration of the respondent’s blood pressure, height and weight).

Applicability


Strengths: A first strength relates to the survey’s content. A wide range of health items is questioned, resulting in an extensive picture of the health status and the health care use of the Belgian population. The inclusion of socio-demographic and socio-economic variables makes it possible to assess the existence of social inequalities with regards to health and health care use. Furthermore, the comparability of the Belgian Health Interview Survey with other international health-related surveys makes it available for international comparison. For this purpose, the Belgian Health Interview Survey is included in the European Health Surveys Information Database (EUHSID), an inventory of national or multi-country health surveys in the EU, EFTA (European Free Trade Association) countries, EU Candidate Countries and the USA, Canada and Australia (www.euhsid.org). A second strength of the Health Interview Survey refers to the composition of the sample, and more specifically to (1) the oversampling of the elderly population in the 2004 and 2008 waves of data collection, and (2) the inclusion of elderly permanently residing in residential care facilities. The recurrent character of the Health Interview Survey, with rounds of data collection every 4 years, allows for evolutions in the health status and health care use of the Belgian population to be monitored. In addition, it enhances possibilities to assess the influence of policy changes during subsequent research waves. Weaknesses: A weakness of the survey relates to the content of the data collection. In the Health Interview Survey, respondents are asked to report about their health problems. However, one could include more objective techniques to gather health status information (e.g. registration of the respondent’s blood pressure, height and weight).

Applicability


Strengths: A first strength relates to the survey’s content. A wide range of health items is questioned, resulting in an extensive picture of the health status and the health care use of the Belgian population. The inclusion of socio-demographic and socio-economic variables makes it possible to assess the existence of social inequalities with regards to health and health care use. Furthermore, the comparability of the Belgian Health Interview Survey with other international health-related surveys makes it available for international comparison. For this purpose, the Belgian Health Interview Survey is included in the European Health Surveys Information Database (EUHSID), an inventory of national or multi-country health surveys in the EU, EFTA (European Free Trade Association) countries, EU Candidate Countries and the USA, Canada and Australia (www.euhsid.org). A second strength of the Health Interview Survey refers to the composition of the sample, and more specifically to (1) the oversampling of the elderly population in the 2004 and 2008 waves of data collection, and (2) the inclusion of elderly permanently residing in residential care facilities. The recurrent character of the Health Interview Survey, with rounds of data collection every 4 years, allows for evolutions in the health status and health care use of the Belgian population to be monitored. In addition, it enhances possibilities to assess the influence of policy changes during subsequent research waves. Weaknesses: A weakness of the survey relates to the content of the data collection. In the Health Interview Survey, respondents are asked to report about their health problems. However, one could include more objective techniques to gather health status information (e.g. registration of the respondent’s blood pressure, height and weight).


  • The information about this dataset was compiled by the author:
  • Hans Peeters
  • (see Partners)