Reweighting national survey data for small area behaviour estimates: modelling alcohol consumption in Local Authorities in England.


Journal

Population health metrics
ISSN: 1478-7954
Titre abrégé: Popul Health Metr
Pays: England
ID NLM: 101178411

Informations de publication

Date de publication:
02 01 2020
Historique:
received: 07 12 2017
accepted: 18 12 2019
entrez: 4 1 2020
pubmed: 4 1 2020
medline: 18 9 2021
Statut: epublish

Résumé

There are likely to be differences in alcohol consumption levels and patterns across local areas within a country, yet survey data is often collected at the national or sub-national/regional level and is not representative for small geographic areas. This paper presents a method for reweighting national survey data-the Health Survey for England-by combining survey and routine data to produce simulated locally representative survey data and provide statistics of alcohol consumption for each Local Authority in England. We find a 2-fold difference in estimated mean alcohol consumption between the lightest and heaviest drinking Local Authorities, a 4.5-fold difference in abstention rates, and a 3.5-fold difference in harmful drinking. The method compares well to direct estimates from the data at regional level. The results have important policy implications in itself, but the reweighted data can also be used to model local policy effects. This method can also be used for other public health small area estimation where locally representative data are not available.

Sections du résumé

BACKGROUND
There are likely to be differences in alcohol consumption levels and patterns across local areas within a country, yet survey data is often collected at the national or sub-national/regional level and is not representative for small geographic areas.
METHODS
This paper presents a method for reweighting national survey data-the Health Survey for England-by combining survey and routine data to produce simulated locally representative survey data and provide statistics of alcohol consumption for each Local Authority in England.
RESULTS
We find a 2-fold difference in estimated mean alcohol consumption between the lightest and heaviest drinking Local Authorities, a 4.5-fold difference in abstention rates, and a 3.5-fold difference in harmful drinking. The method compares well to direct estimates from the data at regional level.
CONCLUSIONS
The results have important policy implications in itself, but the reweighted data can also be used to model local policy effects. This method can also be used for other public health small area estimation where locally representative data are not available.

Identifiants

pubmed: 31898545
doi: 10.1186/s12963-019-0201-0
pii: 10.1186/s12963-019-0201-0
pmc: PMC6941256
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1

Subventions

Organisme : Department of Health
ID : PHR/15/129/19
Pays : United Kingdom
Organisme : Department of Health
ID : 15/129/19
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/K023233/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/K006525/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/K023195/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : G1000043
Pays : United Kingdom

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Auteurs

Robert Pryce (R)

School of Health and Related Research, University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK. r.e.pryce@sheffield.ac.uk.

Colin Angus (C)

School of Health and Related Research, University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK.

John Holmes (J)

School of Health and Related Research, University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK.

Duncan Gillespie (D)

School of Health and Related Research, University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK.

Penny Buykx (P)

School of Health and Related Research, University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK.
School of Humanities and Social Science, Newcastle University, Newcastle, New South Wales, Australia.

Petra Meier (P)

School of Health and Related Research, University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK.

Matt Hickman (M)

Population Health Sciences, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, UK.

Frank de Vocht (F)

Population Health Sciences, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, UK.

Alan Brennan (A)

School of Health and Related Research, University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK.

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