ArticleAddiction (Abingdon, England)2017
Adjustment for survey non-representativeness using record-linkage: refined estimates of alcohol consumption by deprivation in Scotland.
Article in Addiction (Abingdon, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Random digit dialing and internet panel data collection methods in two Canadian provinces: Comparing costs, data missingness, straightlining, and sociodemographic characteristics of sample, and responses from a survey on nutrition policy support and causes of chronic disease.Journal of public health research · 2025Article
- A maternal and child health administrative cohort in Scotland: the utility of linked administrative data for understanding early years' outcomes and inequalities.International journal of population data science · 2024Article
- Trends in psychological distress in Great Britain, 1991-2019: evidence from three representative surveys.Journal of epidemiology and community health · 2023Article
- Adjustment for survey non-participation using record linkage and multiple imputation: A validity assessment exercise using the Health 2000 survey.Scandinavian journal of public health · 2023Article
- Article
- Standard multiple imputation of survey data didn't perform better than simple substitution in enhancing an administrative dataset: the example of self-rated health in England.Emerging themes in epidemiology · 2021Article
- Causal inference with observational data: the need for triangulation of evidence.Psychological medicine · 2021Article
- Alcohol-related Outcomes and All-cause Mortality in the Health 2000 Survey by Participation Status and Compared with the Finnish Population.Epidemiology (Cambridge, Mass.) · 2020Article
- Correcting for non-participation bias in health surveys using record-linkage, synthetic observations and pattern mixture modelling.Statistical methods in medical research · 2020Article
- Adjusting for non-response in the Finnish Drinking Habits Survey.Scandinavian journal of public health · 2019Article
- Validation of non-participation bias methodology based on record-linked Finnish register-based health survey data: a protocol paper.BMJ open · 2019Article
- The socioeconomic profile of alcohol-attributable mortality in South Africa: a modelling study.BMC medicine · 2018Article
- Assessing causal relationships using genetic proxies for exposures: an introduction to Mendelian randomization.Addiction (Abingdon, England) · 2018Article
- How Healthy Are Survey Respondents Compared with the General Population?: Using Survey-linked Death Records to Compare Mortality Outcomes.Epidemiology (Cambridge, Mass.) · 2018Article
- Adjustment for survey non-representativeness using record-linkage: refined estimates of alcohol consumption by deprivation in Scotland.Addiction (Abingdon, England) · 2017Article
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8 authors.
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Abstract
BACKGROUND AND
aimsAnalytical approaches to addressing survey non-participation bias typically use only demographic information to improve estimates. We applied a novel methodology which uses health information from data linkage to adjust for non-representativeness. We illustrate the method by presenting adjusted alcohol consumption estimates for Scotland.
designData on consenting respondents to the Scottish Health Surveys (SHeSs) 1995-2010 were linked confidentially to routinely collected hospital admission and mortality records. Synthetic observations representing non-respondents were created using general population data. Multiple imputation was performed to compute adjusted alcohol estimates given a range of assumptions about the missing data. Adjusted estimates of mean weekly consumption were additionally calibrated to per-capita alcohol sales data.
settingScotland.
participants13 936 male and 18 021 female respondents to the SHeSs 1995-2010, aged 20-64 years. MEASUREMENTS: Weekly alcohol consumption, non-, binge- and problem-drinking.
findingsInitial adjustment for non-response resulted in estimates of mean weekly consumption that were elevated by up to 17.8% [26.5 units (18.6-34.4)] compared with corrections based solely on socio-demographic data [22.5 (17.7-27.3)]; other drinking behaviour estimates were little changed. Under more extreme assumptions the overall difference was up to 53%, and calibrating to sales estimates resulted in up to 88% difference. Increases were especially pronounced among males in deprived areas.
conclusionsThe use of routinely collected health data to reduce bias arising from survey non-response resulted in higher alcohol consumption estimates among working-age males in Scotland, with less impact for females. This new method of bias reduction can be generalized to other surveys to improve estimates of alternative harmful behaviours.
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