TY - JOUR
PY - 2018//
TI - Harnessing advances in computer simulation to inform policy and planning to reduce alcohol-related harms
JO - International journal of public health
A1 - Atkinson, Jo-An
A1 - Knowles, Dylan
A1 - Wiggers, John
A1 - Livingston, Michael
A1 - Room, Robin G. W.
A1 - Prodan, Ante
A1 - McDonnell, Geoff
A1 - O'Donnell, Eloise
A1 - Jones, Sandra
A1 - Haber, Paul S.
A1 - Muscatello, David
A1 - Ezard, Nadine
A1 - Phung, Nghi
A1 - Freebairn, Louise
A1 - Indig, Devon
A1 - Rychetnik, Lucie
A1 - Ananthapavan, Jaithri
A1 - Wutzke, Sonia
SP - 537
EP - 546
VL - 63
IS - 4
N2 - OBJECTIVES: Alcohol misuse is a complex systemic problem. The aim of this study was to explore the feasibility of using a transparent and participatory agent-based modelling approach to develop a robust decision support tool to test alcohol policy scenarios before they are implemented in the real world.
METHODS: A consortium of Australia's leading alcohol experts was engaged to collaboratively develop an agent-based model of alcohol consumption behaviour and related harms. As a case study, four policy scenarios were examined.
RESULTS: A 19.5 ± 2.5% reduction in acute alcohol-related harms was estimated with the implementation of a 3 a.m. licensed venue closing time plus 1 a.m. lockout; and a 9 ± 2.6% reduction in incidence was estimated with expansion of treatment services to reach 20% of heavy drinkers. Combining the two scenarios produced a 33.3 ± 2.7% reduction in the incidence of acute alcohol-related harms, suggesting a synergistic effect.
CONCLUSIONS: This study demonstrates the feasibility of participatory development of a contextually relevant computer simulation model of alcohol-related harms and highlights the value of the approach in identifying potential policy responses that best leverage limited resources.
Language: en
LA - en SN - 1661-8556 UR - http://dx.doi.org/10.1007/s00038-017-1041-y ID - ref1 ER -