Evidence map›Paper›PMID 34396808›Full record

ArticleScandinavian journal of public health2023

Adjustment for survey non-participation using record linkage and multiple imputation: A validity assessment exercise using the Health 2000 survey.

Megan A Mcminn, Pekka Martikainen, Tommi Härkänen, Hanna Tolonen, Joonas Pitkänen, Alastair H Leyland, Linsay Gray

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Article in Scandinavian journal of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Megan A McminnMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK.ORCID 0000-0001-8398-2633
Pekka MartikainenPopulation Research Unit, Faculty of Social Sciences, University of Helsinki, Finland.
Tommi HärkänenPublic Health and Welfare, National Institute for Health and Welfare (THL), Finland.ORCID 0000-0002-4577-1808
Hanna TolonenPublic Health and Welfare, National Institute for Health and Welfare (THL), Finland.
Joonas PitkänenPopulation Research Unit, Faculty of Social Sciences, University of Helsinki, Finland.
Alastair H LeylandMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK.
Linsay GrayMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK.

Funding

Medical Research Council MC_UU_00022/2
6 · The paper itself

Abstract

aimsIt is becoming increasingly possible to obtain additional information about health survey participants, though not usually non-participants, via record linkage. We aimed to assess the validity of an assumption underpinning a method developed to mitigate non-participation bias. We use a survey in Finland where it is possible to link both participants and non-participants to administrative registers. Survey-derived alcohol consumption is used as the exemplar outcome.

methodsData on participants (85.5%) and true non-participants of the Finnish Health 2000 survey (invited survey sample

resultsAverage weekly consumption estimates for men were 129 g and 131 g of alcohol in inferred and invited survey samples, respectively (RD -1.6%; 95% confidence interval (CI) -2.2 to -0.04%) and 35 g for women in both samples (RD -1.1%; 95% CI -2.4 to -0.8%). Estimates for men with secondary levels of education had the greatest RD (-2.4%; 95% CI -3.7 to -1.1%).

conclusionsThe sufficiently small RDs between inferred and invited survey samples support the assumption validity and use of our methodology for adjusting for non-participation. However, the presence of some significant differences means caution is required.

Indexed as

Alcohol DrinkingBiasFemaleFinlandHealth SurveysHumansMaleSurveys and Questionnairesalcohol consumptionFinlandHealth 2000multiple imputationnon-participationrecord linkagevalidation

Identifiers

PMID34396808
PMCPMC7614246

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.