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A framework for exploring non-response patterns over time in health surveys
BACKGROUND: Most health surveys have experienced a decline in response rates. A structured approach to evaluate whether a decreasing - and potentially more selective - response over time biased estimated trends in health behaviours is lacking. We developed a framework to explore the role of differen...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890886/ https://www.ncbi.nlm.nih.gov/pubmed/33602123 http://dx.doi.org/10.1186/s12874-021-01221-0 |
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author | Mölenberg, Famke J. M. de Vries, Chris Burdorf, Alex van Lenthe, Frank J. |
author_facet | Mölenberg, Famke J. M. de Vries, Chris Burdorf, Alex van Lenthe, Frank J. |
author_sort | Mölenberg, Famke J. M. |
collection | PubMed |
description | BACKGROUND: Most health surveys have experienced a decline in response rates. A structured approach to evaluate whether a decreasing - and potentially more selective - response over time biased estimated trends in health behaviours is lacking. We developed a framework to explore the role of differential non-response over time. This framework was applied to a repeated cross-sectional survey in which the response rate gradually declined. METHODS: We used data from a survey conducted biannually between 1995 and 2017 in the city of Rotterdam, The Netherlands. Information on the sociodemographic determinants of age, sex, and ethnicity was available for respondents and non-respondents. The main outcome measures of prevalence of sport participation and watching TV were only available for respondents. The framework consisted of four steps: 1) investigating the sociodemographic determinants of responding to the survey and the difference in response over time between sociodemographic groups; 2) estimating variation in health behaviour over time; 3) comparing weighted and unweighted prevalence estimates of health behaviour over time; and 4) comparing associations between sociodemographic determinants and health behaviour over time. RESULTS: The overall response rate per survey declined from 47% in 1995 to 15% in 2017. The probability of responding was higher among older people, females, and those with a Western background. The response rate declined in all subgroups, and a faster decline was observed among younger persons and those with a non-Western ethnicity as compared to older persons and those with a Western ethnicity. Variation in health behaviours remained constant. Prevalence estimates and associations did not follow the changes in response over time. On the contrary, the difference in probability of participating in sport gradually decreased between males and females, while no differential change in the response rate was observed. CONCLUSIONS: Providing insights on non-response patterns over time is essential to understand whether declines in response rates may have influenced estimated trends in health behaviours. The framework outlined in this study can be used for this purpose. In our example, in spite of a major decline in response rate, there was no evidence that the risk of non-response bias increased over time. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-021-01221-0. |
format | Online Article Text |
id | pubmed-7890886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78908862021-02-22 A framework for exploring non-response patterns over time in health surveys Mölenberg, Famke J. M. de Vries, Chris Burdorf, Alex van Lenthe, Frank J. BMC Med Res Methodol Research Article BACKGROUND: Most health surveys have experienced a decline in response rates. A structured approach to evaluate whether a decreasing - and potentially more selective - response over time biased estimated trends in health behaviours is lacking. We developed a framework to explore the role of differential non-response over time. This framework was applied to a repeated cross-sectional survey in which the response rate gradually declined. METHODS: We used data from a survey conducted biannually between 1995 and 2017 in the city of Rotterdam, The Netherlands. Information on the sociodemographic determinants of age, sex, and ethnicity was available for respondents and non-respondents. The main outcome measures of prevalence of sport participation and watching TV were only available for respondents. The framework consisted of four steps: 1) investigating the sociodemographic determinants of responding to the survey and the difference in response over time between sociodemographic groups; 2) estimating variation in health behaviour over time; 3) comparing weighted and unweighted prevalence estimates of health behaviour over time; and 4) comparing associations between sociodemographic determinants and health behaviour over time. RESULTS: The overall response rate per survey declined from 47% in 1995 to 15% in 2017. The probability of responding was higher among older people, females, and those with a Western background. The response rate declined in all subgroups, and a faster decline was observed among younger persons and those with a non-Western ethnicity as compared to older persons and those with a Western ethnicity. Variation in health behaviours remained constant. Prevalence estimates and associations did not follow the changes in response over time. On the contrary, the difference in probability of participating in sport gradually decreased between males and females, while no differential change in the response rate was observed. CONCLUSIONS: Providing insights on non-response patterns over time is essential to understand whether declines in response rates may have influenced estimated trends in health behaviours. The framework outlined in this study can be used for this purpose. In our example, in spite of a major decline in response rate, there was no evidence that the risk of non-response bias increased over time. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-021-01221-0. BioMed Central 2021-02-18 /pmc/articles/PMC7890886/ /pubmed/33602123 http://dx.doi.org/10.1186/s12874-021-01221-0 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article Mölenberg, Famke J. M. de Vries, Chris Burdorf, Alex van Lenthe, Frank J. A framework for exploring non-response patterns over time in health surveys |
title | A framework for exploring non-response patterns over time in health surveys |
title_full | A framework for exploring non-response patterns over time in health surveys |
title_fullStr | A framework for exploring non-response patterns over time in health surveys |
title_full_unstemmed | A framework for exploring non-response patterns over time in health surveys |
title_short | A framework for exploring non-response patterns over time in health surveys |
title_sort | framework for exploring non-response patterns over time in health surveys |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890886/ https://www.ncbi.nlm.nih.gov/pubmed/33602123 http://dx.doi.org/10.1186/s12874-021-01221-0 |
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