Impacts of licensed premises trading hour policies on alcohol-related harms
Authored by Michael Livingston, Jo-An Atkinson, Ante Prodan, Dylan Knowles, Eloise O'Donnell, Robin Room, Devon Indig, Andrew Page, Geoff McDonnell, John Wiggers
Date Published: 2018
DOI: 10.1111/add.14178
Sponsors:
Australian National Health and Medical Research Council (NHMRC)
Platforms:
AnyLogic
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
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.
Tags
Agent-based modelling
Simulation
System dynamics
Model
Evaluation
Australia
disease
Public-health
Consumption
Experience
Drinking
Support
Alcohol-related harm
Dynamic simulation
modelling
Trading hour policy
Restrictions