Adjusting for selective non-participation with re-contact data in the FINRISK 2012 survey

Scandinavian Journal of Public Health
Juho KopraJuha Karvanen

Abstract

A common objective of epidemiological surveys is to provide population-level estimates of health indicators. Survey results tend to be biased under selective non-participation. One approach to bias reduction is to collect information about non-participants by contacting them again and asking them to fill in a questionnaire. This information is called re-contact data, and it allows to adjust the estimates for non-participation. We analyse data from the FINRISK 2012 survey, where re-contact data were collected. We assume that the respondents of the re-contact survey are similar to the remaining non-participants with respect to the health given their available background information. Validity of this assumption is evaluated based on the hospitalisation data obtained through record linkage of survey data to the administrative registers. Using this assumption and multiple imputation, we estimate the prevalences of daily smoking and heavy alcohol consumption and compare them to estimates obtained with a commonly used assumption that the participants represent the entire target group. When adjusting for non-participation using re-contact data, higher prevalence estimates were observed compared to prevalence estimates based on particip...Continue Reading

References

Jan 1, 2003·Journal of Clinical Epidemiology·A Bootsma-van der WielR G J Westendorp
Feb 1, 2003·Annals of Epidemiology·A Jeanne M Van LoonJohan Ormel
May 7, 2004·International Journal for Equity in Health·Anne Johanne SøgaardDag Thelle
Nov 30, 2006·Scandinavian Journal of Public Health·Thomas DrivsholmKnut Borch-Johnsen
May 6, 2011·Social Psychiatry and Psychiatric Epidemiology·Fartein Ask TorvikKristian Tambs
Jul 19, 2011·Journal of Clinical Epidemiology·Olli NummelaMikael Fogelholm
Oct 17, 2012·European Journal of Epidemiology·Signe Benzon LarsenAnja Olsen
Mar 13, 2016·Journal of Clinical Epidemiology·Juha KarvanenKari Kuulasmaa

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