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dc.contributor.authorKarvanen, Juha
dc.contributor.authorHärkänen, Tommi
dc.contributor.authorReinikainen, Jaakko
dc.contributor.authorTolonen, Hanna
dc.date.accessioned2019-02-11T10:39:52Z
dc.date.available2019-03-03T22:35:16Z
dc.date.issued2019
dc.identifier.citationKarvanen, J., Härkänen, T., Reinikainen, J., & Tolonen, H. (2019). Recommendations for design and analysis of health examination surveys under selective non-participation. <i>European Journal of Public Health</i>, <i>29</i>(1), 8-12. <a href="https://doi.org/10.1093/eurpub/cky161" target="_blank">https://doi.org/10.1093/eurpub/cky161</a>
dc.identifier.otherCONVID_28236294
dc.identifier.otherTUTKAID_78669
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/62742
dc.description.abstractBackground The decreasing participation rates and selective non-participation peril the representativeness of health examination surveys (HESs). Methods Finnish HESs conducted in 1972–2012 are used to demonstrate that survey participation rates can be enhanced with well-planned recruitment procedures and auxiliary information about survey non-participants can be used to reduce selection bias. Results Experiments incorporated to pilot surveys and experience from previously conducted surveys lead to practical improvements. For example, SMS reminders were taken as a routine procedure to the Finnish HESs after testing their effect on a pilot study and finding them as a cost-effective way to increase participation rate especially among younger age groups. Auxiliary information about survey non-participants can be obtained from many sources: sampling frames, previous measurements in longitudinal setting, re-contacts and non-response questionnaires, and record linkage to administrative data sources. These data can be used in statistical modelling to adjust the population level estimates for the selection bias. Information on the characteristics of non-participants also helps to improve targeting the recruitment in the future. Conclusion All methods discussed and recommended are relatively easy to incorporate to any national HES in Europe except the record linkage of survey data from administrative data sources. This is not feasible in all European countries because of non-existence of registries, lack of an identifier needed for record linkage, or national data protection legislation which restricts the data use.fi
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherOxford University Press
dc.relation.ispartofseriesEuropean Journal of Public Health
dc.rightsIn Copyright
dc.subject.othermodels
dc.subject.otherstatistical
dc.subject.otherstatutes and laws
dc.subject.otherfinnish
dc.titleRecommendations for design and analysis of health examination surveys under selective non-participation
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201901251306
dc.contributor.laitosMatematiikan ja tilastotieteen laitosfi
dc.contributor.laitosDepartment of Mathematics and Statisticsen
dc.contributor.oppiaineTilastotiedefi
dc.contributor.oppiaineStatisticsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2019-01-25T10:15:10Z
dc.description.reviewstatuspeerReviewed
dc.format.pagerange8-12
dc.relation.issn1101-1262
dc.relation.numberinseries1
dc.relation.volume29
dc.type.versionacceptedVersion
dc.rights.copyright© The Authors, 2018.
dc.rights.accesslevelopenAccessfi
dc.subject.ysoterveystutkimus
dc.subject.ysosurvey-tutkimus
dc.subject.ysoosallistuminen
dc.subject.ysootanta
dc.subject.ysokustannustehokkuus
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p7470
jyx.subject.urihttp://www.yso.fi/onto/yso/p2622
jyx.subject.urihttp://www.yso.fi/onto/yso/p10727
jyx.subject.urihttp://www.yso.fi/onto/yso/p12939
jyx.subject.urihttp://www.yso.fi/onto/yso/p20596
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1093/eurpub/cky161


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