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      Impacts of licensed premises trading hour policies on alcohol‐related harms

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          Abstract

          Background and aim

          Evaluations of alcohol policy changes demonstrate that restriction of trading hours of both ‘on’‐ and ‘off’‐licence venues can be an effective means of reducing rates of alcohol‐related harm. Despite this, the effects of different trading hour policy options over time, accounting for different contexts and demographic characteristics, and the common co‐occurrence of other harm reduction strategies in trading hour policy initiatives, are difficult to estimate. The aim of this study was to use dynamic simulation modelling to compare estimated impacts over time of a range of trading hour policy options on various indicators of acute alcohol‐related harm.

          Methods

          An agent‐based model of alcohol consumption in New South Wales, Australia was developed using existing research evidence, analysis of available data and a structured approach to incorporating expert opinion. Five policy scenarios were simulated, including restrictions to trading hours of on‐licence venues and extensions to trading hours of bottle shops. The impact of the scenarios on four measures of alcohol‐related harm were considered: total acute harms, alcohol‐related violence, emergency department (ED) presentations and hospitalizations.

          Results

          Simulation of a 3 a.m. (rather than 5 a.m.) closing time resulted in an estimated 12.3 ± 2.4% reduction in total acute alcohol‐related harms, a 7.9 ± 0.8% reduction in violence, an 11.9 ± 2.1% reduction in ED presentations and a 9.5 ± 1.8% reduction in hospitalizations. Further reductions were achieved simulating a 1 a.m. closing time, including a 17.5 ± 1.1% reduction in alcohol‐related violence. Simulated extensions to bottle shop trading hours resulted in increases in rates of all four measures of harm, although most of the effects came from increasing operating hours from 10 p.m. to 11 p.m.

          Conclusions

          An agent‐based simulation model suggests that restricting trading hours of licensed venues reduces rates of alcohol‐related harm and extending trading hours of bottle shops increases rates of alcohol‐related harm. The model can estimate the effects of a range of policy options.

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          Most cited references34

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          Hours and days of sale and density of alcohol outlets: impacts on alcohol consumption and damage: a systematic review.

          The aim of this study was to examine recent research studies published from 2000 to 2008 focusing on availability of alcohol: hours and days of sale and density of alcohol outlets. Systematic review. Forty-four studies on density of alcohol outlets and 15 studies on hours and days of sale were identified through a systematic literature search. The majority of studies reviewed found that alcohol outlet density and hours and days of sale had an impact on one or more of the three main outcome variables, such as overall alcohol consumption, drinking patterns and damage from alcohol. Restricting availability of alcohol is an effective measure to prevent alcohol-attributable harm.
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            Formalizing the role of agent-based modeling in causal inference and epidemiology.

            Calls for the adoption of complex systems approaches, including agent-based modeling, in the field of epidemiology have largely centered on the potential for such methods to examine complex disease etiologies, which are characterized by feedback behavior, interference, threshold dynamics, and multiple interacting causal effects. However, considerable theoretical and practical issues impede the capacity of agent-based methods to examine and evaluate causal effects and thus illuminate new areas for intervention. We build on this work by describing how agent-based models can be used to simulate counterfactual outcomes in the presence of complexity. We show that these models are of particular utility when the hypothesized causal mechanisms exhibit a high degree of interdependence between multiple causal effects and when interference (i.e., one person's exposure affects the outcome of others) is present and of intrinsic scientific interest. Although not without challenges, agent-based modeling (and complex systems methods broadly) represent a promising novel approach to identify and evaluate complex causal effects, and they are thus well suited to complement other modern epidemiologic methods of etiologic inquiry.
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              Group model building effectiveness: a review of assessment studies

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                Author and article information

                Contributors
                jo-an.atkinson@saxinstitute.org.au
                Journal
                Addiction
                Addiction
                10.1111/(ISSN)1360-0443
                ADD
                Addiction (Abingdon, England)
                John Wiley and Sons Inc. (Hoboken )
                0965-2140
                1360-0443
                02 March 2018
                July 2018
                : 113
                : 7 ( doiID: 10.1111/add.v113.7 )
                : 1244-1251
                Affiliations
                [ 1 ] The Australian Prevention Partnership Centre Sax Institute Sydney Australia
                [ 2 ] Decision Analytics Sax Institute Sydney Australia
                [ 3 ] Menzies Centre for Health Policy, Sydney Medical School University of Sydney Australia
                [ 4 ] School of Computing, Engineering and Mathematics Western Sydney University Australia
                [ 5 ] Centre for Alcohol Policy Research La Trobe University Bundoora Australia
                [ 6 ] Anthrodynamics Simulation Services Saskatchewan Canada
                [ 7 ] School of Public Health and Community Medicine University of NSW Australia
                [ 8 ] Translational Health Research Institute Western Sydney University Australia
                [ 9 ] Hunter New England Population Health Newcastle NSW Australia
                [ 10 ] School of Medicine and Public Health University of Newcastle NSW Australia
                Author notes
                [*] [* ] Correspondence to: Jo‐An Atkinson, The Australian Prevention Partnership Centre, Sax Institute, PO Box K617, Haymarket, NSW 1240, Australia. E‐mail: jo-an.atkinson@ 123456saxinstitute.org.au
                Author information
                http://orcid.org/0000-0002-2380-1092
                http://orcid.org/0000-0002-8995-9386
                http://orcid.org/0000-0002-5618-385X
                Article
                ADD14178 ADD-17-0778.R2
                10.1111/add.14178
                6032862
                29396879
                93228611-5a5d-4e81-ac84-94e464f9b9d9
                © 2018 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 http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 31 August 2017
                : 30 November 2017
                : 25 January 2018
                Page count
                Figures: 2, Tables: 1, Pages: 8, Words: 3597
                Funding
                Funded by: National Health and Medical Research Council
                Award ID: GNT9100001
                Categories
                Research Report
                Research Reports
                Custom metadata
                2.0
                add14178
                July 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.4.3 mode:remove_FC converted:05.07.2018

                Clinical Psychology & Psychiatry
                agent‐based modelling,alcohol‐related harm,dynamic simulation modelling,evaluation,simulation,trading hour policy

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