Baseline participation in a health examination survey of the population 65 years and older: who is missed and why?

BMC Geriatr. 2016 Jan 19:16:21. doi: 10.1186/s12877-016-0185-6.

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 are needed for public health monitoring in aging populations.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Communication Barriers
  • Female
  • Germany
  • Health Surveys / methods
  • Humans
  • Male
  • Patient Participation / psychology
  • Patient Participation / statistics & numerical data
  • Patient Selection
  • Public Health / methods
  • Public Health / statistics & numerical data
  • Quality of Life*
  • Refusal to Participate / psychology
  • Refusal to Participate / statistics & numerical data
  • Self Report
  • Surveys and Questionnaires