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 -