Use of record-linkage to handle non-response and improve alcohol consumption estimates in health survey data: a study protocol

Gray, L., McCartney, G., White, I. R., Katikireddi, S. V., Rutherford, L., Gorman, E. and Leyland, A. H. 2013. Use of record-linkage to handle non-response and improve alcohol consumption estimates in health survey data: a study protocol . BMJ Open. 3 (3), p. BMJ Open 2013;3:e002647 e002647. https://doi.org/10.1136/bmjopen-2013-002647

TitleUse of record-linkage to handle non-response and improve alcohol consumption estimates in health survey data: a study protocol
TypeJournal article
AuthorsGray, L., McCartney, G., White, I. R., Katikireddi, S. V., Rutherford, L., Gorman, E. and Leyland, A. H.
Abstract

Introduction: Reliable estimates of health-related behaviours, such as levels of alcohol consumption in the population, are required to formulate and evaluate policies. National surveys provide such data; validity depends on generalisability, but this is threatened by declining response levels. Attempts to address bias arising from non-response are typically limited to survey weights based on sociodemographic characteristics, which do not capture differential health and related behaviours within categories. This project aims to explore and address non-response bias in health surveys with a focus on alcohol consumption.

Methods and analysis: The Scottish Health Surveys (SHeS) aim to provide estimates representative of the Scottish population living in private households. Survey data of consenting participants (92% of the achieved sample) have been record-linked to routine hospital admission (Scottish Morbidity Records (SMR)) and mortality (from National Records of Scotland (NRS)) data for surveys conducted in 1995, 1998, 2003, 2008, 2009 and 2010 (total adult sample size around 40 000), with maximum follow-up of 16 years. Also available are census information and SMR/NRS data for the general population. Comparisons of alcohol-related mortality and hospital admission rates in the linked SHeS-SMR/NRS with those in the general population will be made. Survey data will be augmented by quantification of differences to refine alcohol consumption estimates through the application of multiple imputation or inverse probability weighting. The resulting corrected estimates of population alcohol consumption will enable superior policy evaluation. An advanced weighting procedure will be developed for wider use.

Ethics and dissemination: Ethics approval for SHeS has been given by the National Health Service (NHS) Multi-Centre Research Ethics Committee and use of linked data has been approved by the Privacy Advisory Committee to the Board of NHS National Services Scotland and Registrar General. Funding has been granted by the MRC. The outputs will include four or five public health and statistical methodological international journal and conference papers.

Article numbere002647
JournalBMJ Open
Journal citation3 (3), p. BMJ Open 2013;3:e002647
ISSN2044-6055
Year2013
PublisherBMJ
Publisher's version
Digital Object Identifier (DOI)https://doi.org/10.1136/bmjopen-2013-002647
Publication dates
Published01 Mar 2013
LicenseCC BY-NC

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Gray, L., Gorman, E., White, I. R., Katikireddi, S. V., McCartney, G., Rutherford, L. and Leyland, A. H. 2020. Correcting for non-participation bias in health surveys using record-linkage, synthetic observations and pattern mixture modelling. Statistical Methods in Medical Research. 29 (4), pp. 1212-1226. https://doi.org/10.1177/0962280219854482

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