ArticleEuropean journal of public health2022
The impact of non-response weighting in health surveys for estimates on primary health care utilization.
Article in European journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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35 citing papers in PubMed, 46 citations in OpenAlex.
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- Enhancing representativeness in population-based surveys to improve data quality and decision-making.Scientific reports · 2025Article
- Trends in educational inequality in healthy life expectancy in Denmark between 2010 and 2021: a population-based study.BMJ open · 2025Article
- Prevalence and determinants of eating disorder risk behaviours among adult women in Denmark: findings from nationwide cross-sectional health surveys between 2000 and 2023.Journal of eating disorders · 2025Article
- Using administrative register data for adjusting non-response bias in the finnish gambling harms survey.BMC public health · 2025Article
- Self-reported outcomes following lower extremity, carotid and aortic artery disease: protocol for the Danish Vascular (DanVasc) survey.BMJ open · 2025Article
- Housing type and risk of depression - the mediating effects of perceived indoor annoyances and loneliness: a Danish cohort study, 2000-2018.BMC public health · 2025Article
- Perceived indoor annoyances at home and risk of incident depression: A Danish register-based cohort study, 2000-2018.Environmental epidemiology (Philadelphia, Pa.) · 2025Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLow response rates in health surveys may affect the representativeness and generalizability of results if non-response is systematically related to the indicator of interest. To account for such potential bias, weighting procedures are widely used with an overall aim to obtain less biased estimates. The aim of this study was to assess the impact of applying calibrated weights on prevalence estimates of primary health care utilization among respondents compared to the entire sample of a representative Danish survey of adults aged ≥16 years.
methodsRegistry-based 1-year prevalence data on health care utilization of chiropractor/physiotherapist, dentist and psychologist in 2016 were linked to the entire sample (n = 312 349), including respondents (n = 183 372), from the Danish National Health Survey in 2017. Calibrated weights, which applied information on e.g. sex, age, ethnic background, education and overall health service use were used to assess their impact on prevalence estimates among respondents.
resultsAcross all included types of health care, weighting for non-response decreased prevalence estimates among respondents, which resulted in less biased estimates. For example, the overall 1-year prevalence of chiropractor/physiotherapist, dentist and psychologist utilization decreased from 19.1% to 16.9%, 68.4% to 62.5% and 1.9% to 1.8%, respectively. The corresponding prevalence in the entire sample was 16.5%, 59.4% and 1.7%.
conclusionsApplying calibrated weights to survey data to account for non-response reduces bias in primary health care utilization estimates. Future studies are needed to explore the possible impact of weighting on other health estimates.
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