Abstract

BackgroundExcess alcohol consumption has serious adverse effects on health and violence-related harm. In the UK around 37% of men and 29% of women drink to excess and 20% and 13% report binge drinking. The potential impact on population health from a reduction in consumption is considerable. One proposed method to reduce consumption is to reduce availability through controls on alcohol outlet density. In this study we investigate the impact of a change in the density of alcohol outlets on alcohol consumption and alcohol-related harms to health in the community.Methods/DesignA natural experiment of the effect of change in outlet density between 2005–09, in Wales, UK; population 2.4 million aged 16 years and over. Data on outlets are held by the 22 local authorities in Wales under The Licensing Act 2003.The study outcomes are change in (1) alcohol consumption using data from annual Welsh Health Surveys, (2) alcohol-related hospital admissions using the Patient Episode Database for Wales, (3) Accident & Emergency department attendances between midnight–6am, and (4) alcohol-related violent crime against the person, using Police data.The data will be anonymously record-linked within the Secure Anonymised Information Linkage Databank at individual and 2001 Census Lower Super Output Area levels. New methods of network analysis will be used to estimate outlet density. Longitudinal statistical analysis will use (1) multilevel ordinal models of consumption and logistic models of admissions and Accident & Emergency attendance as a function of change in individual outlet exposure, adjusting for confounding variables, and (2) spatial models of the change in counts/rates of each outcome measure and outlet density. We will assess the impact on health inequalities and will correct for population migration.DiscussionThis inter-disciplinary study requires expertise in epidemiology and public health, health informatics, medical statistics, geographical information science, and research into alcohol-related violence. Information governance requirements for the use of record-linked data have been approved together with formal data access agreements for the use of the Welsh Health Survey and Police data.The dissemination strategy will include policy makers in national and local government. Public engagement will be through the Clinical Research Collaboration-Cymru "Involving People" network, which will provide input into the implementation of the research.

Highlights

  • Excess alcohol consumption has serious adverse effects on health and violence-related harm

  • Design The intervention we propose to evaluate is the change in the availability of alcohol, measured as outlet density

  • This study requires a wide range of inter-disciplinary expertise, including epidemiology and public health, health informatics, medical statistics, geographical information science and health geography, city and regional planning and urban spatial analysis, systematic reviews, and violence and society alcohol research

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Summary

Discussion

This study requires a wide range of inter-disciplinary expertise, including epidemiology and public health, health informatics, medical statistics, geographical information science and health geography, city and regional planning and urban spatial analysis, systematic reviews, and violence and society alcohol research. Research governance and ethical arrangements The information governance requirements for use of the Secure Anonymised Information Linkage (SAIL) dataset in this study have been approved by the Independent Information Governance Review Panel (IGRP), with membership comprised of senior representatives from the British Medical Association (BMA), the National Research Ethics Service (NRES), Public Health Wales, NHS Wales Informatics Service (NWIS), and Involving People. The anonymised Welsh Health Survey dataset is supplied under a formal Data Access Agreement between Cardiff University and the Welsh Government. Competing interests The author(s) declare that they have no competing interests

Background
Methods/Design
46. Office for National Statistics
51. Office for National Statistics
53. Local Government Data Unit – Wales
Findings
66. Goldstein H
Full Text
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