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Investigation of the Association Between Alcohol Outlet Density and Alcohol-Related Hospital Admission Rates in England: Study Protocol

BACKGROUND: Availability of alcohol is a major policy issue for governments, and one of the availability factors is the density of alcohol outlets within geographic areas. OBJECTIVE: The aim of this study is to investigate the association between alcohol outlet density and hospital admissions for al...

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Autores principales: Maheswaran, Ravi, Holmes, John, Green, Mark, Strong, Mark, Pearson, Tim, Meier, Petra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5203678/
https://www.ncbi.nlm.nih.gov/pubmed/27986646
http://dx.doi.org/10.2196/resprot.6300
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author Maheswaran, Ravi
Holmes, John
Green, Mark
Strong, Mark
Pearson, Tim
Meier, Petra
author_facet Maheswaran, Ravi
Holmes, John
Green, Mark
Strong, Mark
Pearson, Tim
Meier, Petra
author_sort Maheswaran, Ravi
collection PubMed
description BACKGROUND: Availability of alcohol is a major policy issue for governments, and one of the availability factors is the density of alcohol outlets within geographic areas. OBJECTIVE: The aim of this study is to investigate the association between alcohol outlet density and hospital admissions for alcohol-related conditions in a national (English) small area level ecological study. METHODS: This project will employ ecological correlation and cross-sectional time series study designs to examine spatial and temporal relationships between alcohol outlet density and hospital admissions. Census units to be used in the analysis will include all Lower and Middle Super-Output Areas (LSOAs and MSOAs) in England (53 million total population; 32,482 LSOAs and 6781 MSOAs). LSOAs (approximately 1500 people per LSOA) will support investigation at a fine spatial resolution. Spatio-temporal associations will be investigated using MSOAs (approximately 7500 people per MSOA). The project will use comprehensive coverage data on alcohol outlets in England (from 2003, 2007, 2010, and 2013) from a commercial source, which has estimated that the database includes 98% of all alcohol outlets in England. Alcohol outlets may be classified into two broad groups: on-trade outlets, comprising outlets from which alcohol can be purchased and consumed on the premises (eg, pubs); and off-trade outlets, in which alcohol can be purchased but not consumed on the premises (eg, off-licenses). In the 2010 dataset, there are 132,989 on-trade and 51,975 off-trade outlets. The longitudinal data series will allow us to examine associations between changes in outlet density and changes in hospital admission rates. The project will use anonymized data on alcohol-related hospital admissions in England from 2003 to 2013 and investigate associations with acute (eg, admissions for injuries) and chronic (eg, admissions for alcoholic liver disease) harms. The investigation will include the examination of conditions that are wholly and partially attributable to alcohol, using internationally standardized alcohol-attributable fractions. RESULTS: The project is currently in progress. Results are expected in 2017. CONCLUSIONS: The results of this study will provide a national evidence base to inform policy decisions regarding the licensing of alcohol sales outlets.
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spelling pubmed-52036782017-01-17 Investigation of the Association Between Alcohol Outlet Density and Alcohol-Related Hospital Admission Rates in England: Study Protocol Maheswaran, Ravi Holmes, John Green, Mark Strong, Mark Pearson, Tim Meier, Petra JMIR Res Protoc Protocol BACKGROUND: Availability of alcohol is a major policy issue for governments, and one of the availability factors is the density of alcohol outlets within geographic areas. OBJECTIVE: The aim of this study is to investigate the association between alcohol outlet density and hospital admissions for alcohol-related conditions in a national (English) small area level ecological study. METHODS: This project will employ ecological correlation and cross-sectional time series study designs to examine spatial and temporal relationships between alcohol outlet density and hospital admissions. Census units to be used in the analysis will include all Lower and Middle Super-Output Areas (LSOAs and MSOAs) in England (53 million total population; 32,482 LSOAs and 6781 MSOAs). LSOAs (approximately 1500 people per LSOA) will support investigation at a fine spatial resolution. Spatio-temporal associations will be investigated using MSOAs (approximately 7500 people per MSOA). The project will use comprehensive coverage data on alcohol outlets in England (from 2003, 2007, 2010, and 2013) from a commercial source, which has estimated that the database includes 98% of all alcohol outlets in England. Alcohol outlets may be classified into two broad groups: on-trade outlets, comprising outlets from which alcohol can be purchased and consumed on the premises (eg, pubs); and off-trade outlets, in which alcohol can be purchased but not consumed on the premises (eg, off-licenses). In the 2010 dataset, there are 132,989 on-trade and 51,975 off-trade outlets. The longitudinal data series will allow us to examine associations between changes in outlet density and changes in hospital admission rates. The project will use anonymized data on alcohol-related hospital admissions in England from 2003 to 2013 and investigate associations with acute (eg, admissions for injuries) and chronic (eg, admissions for alcoholic liver disease) harms. The investigation will include the examination of conditions that are wholly and partially attributable to alcohol, using internationally standardized alcohol-attributable fractions. RESULTS: The project is currently in progress. Results are expected in 2017. CONCLUSIONS: The results of this study will provide a national evidence base to inform policy decisions regarding the licensing of alcohol sales outlets. JMIR Publications 2016-12-16 /pmc/articles/PMC5203678/ /pubmed/27986646 http://dx.doi.org/10.2196/resprot.6300 Text en ©Ravi Maheswaran, John Holmes, Mark Green, Mark Strong, Tim Pearson, Petra Meier. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 16.12.2016. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Maheswaran, Ravi
Holmes, John
Green, Mark
Strong, Mark
Pearson, Tim
Meier, Petra
Investigation of the Association Between Alcohol Outlet Density and Alcohol-Related Hospital Admission Rates in England: Study Protocol
title Investigation of the Association Between Alcohol Outlet Density and Alcohol-Related Hospital Admission Rates in England: Study Protocol
title_full Investigation of the Association Between Alcohol Outlet Density and Alcohol-Related Hospital Admission Rates in England: Study Protocol
title_fullStr Investigation of the Association Between Alcohol Outlet Density and Alcohol-Related Hospital Admission Rates in England: Study Protocol
title_full_unstemmed Investigation of the Association Between Alcohol Outlet Density and Alcohol-Related Hospital Admission Rates in England: Study Protocol
title_short Investigation of the Association Between Alcohol Outlet Density and Alcohol-Related Hospital Admission Rates in England: Study Protocol
title_sort investigation of the association between alcohol outlet density and alcohol-related hospital admission rates in england: study protocol
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5203678/
https://www.ncbi.nlm.nih.gov/pubmed/27986646
http://dx.doi.org/10.2196/resprot.6300
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