Baseline participation in a health examination survey of the population 65 years and older: who is missed and why?. Issue 1 (December 2016)
- Record Type:
- Journal Article
- Title:
- Baseline participation in a health examination survey of the population 65 years and older: who is missed and why?. Issue 1 (December 2016)
- Main Title:
- Baseline participation in a health examination survey of the population 65 years and older: who is missed and why?
- Authors:
- Gaertner, Beate
Seitz, Ina
Fuchs, Judith
Busch, Markus
Holzhausen, Martin
Martus, Peter
Scheidt-Nave, Christa - Abstract:
- Abstract Background Public health monitoring depends on valid health and disability estimates in the population 65+ years. This is hampered by high non-participation rates in this age group. There is limited insight into size and direction of potential baseline selection bias. Methods We analyzed baseline non-participation in a register-based random sample of 1481 inner-city residents 65+ years, invited to a health examination survey according to demographics available for the entire sample, self-report information as available and reasons for non-participation. One year after recruitment, non-responders were revisited to assess their reasons. Results Five groups defined by participation status were differentiated: participants (N = 299), persons who had died or moved (N = 173), those who declined participation, but answered a short questionnaire (N = 384), those who declined participation and the short questionnaire (N = 324), and non-responders (N = 301). The results confirm substantial baseline selection bias with significant underrepresentation of persons 85+ years, persons in residential care or from disadvantaged neighborhoods, with lower education, foreign citizenship, or lower health-related quality of life. Finally, reasons for non-participation could be identified for 78 % of all non-participants, including 183 non-responders. Conclusion A diversity in health problems and barriers to participation exists among non-participants. Innovative study designs areAbstract Background Public health monitoring depends on valid health and disability estimates in the population 65+ years. This is hampered by high non-participation rates in this age group. There is limited insight into size and direction of potential baseline selection bias. Methods We analyzed baseline non-participation in a register-based random sample of 1481 inner-city residents 65+ years, invited to a health examination survey according to demographics available for the entire sample, self-report information as available and reasons for non-participation. One year after recruitment, non-responders were revisited to assess their reasons. Results Five groups defined by participation status were differentiated: participants (N = 299), persons who had died or moved (N = 173), those who declined participation, but answered a short questionnaire (N = 384), those who declined participation and the short questionnaire (N = 324), and non-responders (N = 301). The results confirm substantial baseline selection bias with significant underrepresentation of persons 85+ years, persons in residential care or from disadvantaged neighborhoods, with lower education, foreign citizenship, or lower health-related quality of life. Finally, reasons for non-participation could be identified for 78 % of all non-participants, including 183 non-responders. Conclusion A diversity in health problems and barriers to participation exists among non-participants. Innovative study designs are needed for public health monitoring in aging populations. … (more)
- Is Part Of:
- BMC geriatrics. Volume 16:Issue 1(2016)
- Journal:
- BMC geriatrics
- Issue:
- Volume 16:Issue 1(2016)
- Issue Display:
- Volume 16, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 16
- Issue:
- 1
- Issue Sort Value:
- 2016-0016-0001-0000
- Page Start:
- 1
- Page End:
- 12
- Publication Date:
- 2016-12
- Subjects:
- Aging population -- Non-participation -- Public health monitoring -- Reasons for non-participation -- Register-based population -- Selection bias
Geriatrics -- Periodicals
618.97005 - Journal URLs:
- http://www.biomedcentral.com/bmcgeriatr/ ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=33 ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s12877-016-0185-6 ↗
- Languages:
- English
- ISSNs:
- 1471-2318
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 10677.xml