Evidence map›Paper›PMID 29396879›Full record

ArticleAddiction (Abingdon, England)2018

Impacts of licensed premises trading hour policies on alcohol-related harms.

Jo-An Atkinson, Ante Prodan, Michael Livingston, Dylan Knowles, Eloise O'Donnell, Robin Room, Devon Indig, Andrew Page, Geoff McDonnell, John Wiggers

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jo-An AtkinsonThe Australian Prevention Partnership Centre, Sax Institute, Sydney, Australia.ORCID 0000-0002-2380-1092
Ante ProdanDecision Analytics, Sax Institute, Sydney, Australia.
Michael LivingstonCentre for Alcohol Policy Research, La Trobe University, Bundoora, Australia.ORCID 0000-0002-8995-9386
Dylan KnowlesThe Australian Prevention Partnership Centre, Sax Institute, Sydney, Australia.
Eloise O'DonnellThe Australian Prevention Partnership Centre, Sax Institute, Sydney, Australia.
Robin RoomCentre for Alcohol Policy Research, La Trobe University, Bundoora, Australia.ORCID 0000-0002-5618-385X
Devon IndigThe Australian Prevention Partnership Centre, Sax Institute, Sydney, Australia.
Andrew PageTranslational Health Research Institute, Western Sydney University, Australia.
Geoff McDonnellThe Australian Prevention Partnership Centre, Sax Institute, Sydney, Australia.
John WiggersThe Australian Prevention Partnership Centre, Sax Institute, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimEvaluations 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.

methodsAn 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.

resultsSimulation 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.

conclusionsAn 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.

Indexed as

Alcohol DrinkingAlcoholic BeveragesCommerceHarm ReductionPublic PolicyComputer SimulationEmergency Service, HospitalHospitalizationHumansLicensureNew South WalesTime FactorsViolenceAgent-based modellingalcohol-related harmdynamic simulation modellingevaluationsimulationtrading hour policy

Identifiers

PMID29396879
PMCPMC6032862

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.