Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Gaertner, Beate, Seitz, Ina, Fuchs, Judith, Busch, Markus A., Holzhausen, Martin, Martus, Peter, Scheidt-Nave, Christa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4719664/
https://www.ncbi.nlm.nih.gov/pubmed/26787444
http://dx.doi.org/10.1186/s12877-016-0185-6
_version_ 1782410957035667456
author Gaertner, Beate
Seitz, Ina
Fuchs, Judith
Busch, Markus A.
Holzhausen, Martin
Martus, Peter
Scheidt-Nave, Christa
author_facet Gaertner, Beate
Seitz, Ina
Fuchs, Judith
Busch, Markus A.
Holzhausen, Martin
Martus, Peter
Scheidt-Nave, Christa
author_sort Gaertner, Beate
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4719664
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-47196642016-01-21 Baseline participation in a health examination survey of the population 65 years and older: who is missed and why? Gaertner, Beate Seitz, Ina Fuchs, Judith Busch, Markus A. Holzhausen, Martin Martus, Peter Scheidt-Nave, Christa BMC Geriatr Research Article 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. BioMed Central 2016-01-19 /pmc/articles/PMC4719664/ /pubmed/26787444 http://dx.doi.org/10.1186/s12877-016-0185-6 Text en © Gaertner et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Gaertner, Beate
Seitz, Ina
Fuchs, Judith
Busch, Markus A.
Holzhausen, Martin
Martus, Peter
Scheidt-Nave, Christa
Baseline participation in a health examination survey of the population 65 years and older: who is missed and why?
title Baseline participation in a health examination survey of the population 65 years and older: who is missed and why?
title_full Baseline participation in a health examination survey of the population 65 years and older: who is missed and why?
title_fullStr Baseline participation in a health examination survey of the population 65 years and older: who is missed and why?
title_full_unstemmed Baseline participation in a health examination survey of the population 65 years and older: who is missed and why?
title_short Baseline participation in a health examination survey of the population 65 years and older: who is missed and why?
title_sort baseline participation in a health examination survey of the population 65 years and older: who is missed and why?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4719664/
https://www.ncbi.nlm.nih.gov/pubmed/26787444
http://dx.doi.org/10.1186/s12877-016-0185-6
work_keys_str_mv AT gaertnerbeate baselineparticipationinahealthexaminationsurveyofthepopulation65yearsandolderwhoismissedandwhy
AT seitzina baselineparticipationinahealthexaminationsurveyofthepopulation65yearsandolderwhoismissedandwhy
AT fuchsjudith baselineparticipationinahealthexaminationsurveyofthepopulation65yearsandolderwhoismissedandwhy
AT buschmarkusa baselineparticipationinahealthexaminationsurveyofthepopulation65yearsandolderwhoismissedandwhy
AT holzhausenmartin baselineparticipationinahealthexaminationsurveyofthepopulation65yearsandolderwhoismissedandwhy
AT martuspeter baselineparticipationinahealthexaminationsurveyofthepopulation65yearsandolderwhoismissedandwhy
AT scheidtnavechrista baselineparticipationinahealthexaminationsurveyofthepopulation65yearsandolderwhoismissedandwhy