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Adjustment for survey non‐representativeness using record‐linkage: refined estimates of alcohol consumption by deprivation in Scotland

BACKGROUND AND AIMS: Analytical 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 pre...

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Autores principales: Gorman, Emma, Leyland, Alastair H., McCartney, Gerry, Katikireddi, Srinivasa Vittal, Rutherford, Lisa, Graham, Lesley, Robinson, Mark, Gray, Linsay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467727/
https://www.ncbi.nlm.nih.gov/pubmed/28276110
http://dx.doi.org/10.1111/add.13797
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author Gorman, Emma
Leyland, Alastair H.
McCartney, Gerry
Katikireddi, Srinivasa Vittal
Rutherford, Lisa
Graham, Lesley
Robinson, Mark
Gray, Linsay
author_facet Gorman, Emma
Leyland, Alastair H.
McCartney, Gerry
Katikireddi, Srinivasa Vittal
Rutherford, Lisa
Graham, Lesley
Robinson, Mark
Gray, Linsay
author_sort Gorman, Emma
collection PubMed
description BACKGROUND AND AIMS: Analytical 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. DESIGN: Data 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. SETTING: Scotland. PARTICIPANTS: 13 936 male and 18 021 female respondents to the SHeSs 1995–2010, aged 20–64 years. MEASUREMENTS: Weekly alcohol consumption, non‐, binge‐ and problem‐drinking. FINDINGS: Initial 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. CONCLUSIONS: The 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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spelling pubmed-54677272017-07-01 Adjustment for survey non‐representativeness using record‐linkage: refined estimates of alcohol consumption by deprivation in Scotland Gorman, Emma Leyland, Alastair H. McCartney, Gerry Katikireddi, Srinivasa Vittal Rutherford, Lisa Graham, Lesley Robinson, Mark Gray, Linsay Addiction Methods and Techniques BACKGROUND AND AIMS: Analytical 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. DESIGN: Data 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. SETTING: Scotland. PARTICIPANTS: 13 936 male and 18 021 female respondents to the SHeSs 1995–2010, aged 20–64 years. MEASUREMENTS: Weekly alcohol consumption, non‐, binge‐ and problem‐drinking. FINDINGS: Initial 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. CONCLUSIONS: The 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. John Wiley and Sons Inc. 2017-04-25 2017-07 /pmc/articles/PMC5467727/ /pubmed/28276110 http://dx.doi.org/10.1111/add.13797 Text en © 2017 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods and Techniques
Gorman, Emma
Leyland, Alastair H.
McCartney, Gerry
Katikireddi, Srinivasa Vittal
Rutherford, Lisa
Graham, Lesley
Robinson, Mark
Gray, Linsay
Adjustment for survey non‐representativeness using record‐linkage: refined estimates of alcohol consumption by deprivation in Scotland
title Adjustment for survey non‐representativeness using record‐linkage: refined estimates of alcohol consumption by deprivation in Scotland
title_full Adjustment for survey non‐representativeness using record‐linkage: refined estimates of alcohol consumption by deprivation in Scotland
title_fullStr Adjustment for survey non‐representativeness using record‐linkage: refined estimates of alcohol consumption by deprivation in Scotland
title_full_unstemmed Adjustment for survey non‐representativeness using record‐linkage: refined estimates of alcohol consumption by deprivation in Scotland
title_short Adjustment for survey non‐representativeness using record‐linkage: refined estimates of alcohol consumption by deprivation in Scotland
title_sort adjustment for survey non‐representativeness using record‐linkage: refined estimates of alcohol consumption by deprivation in scotland
topic Methods and Techniques
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467727/
https://www.ncbi.nlm.nih.gov/pubmed/28276110
http://dx.doi.org/10.1111/add.13797
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