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dc.contributor.authorAtkinson, J-A
dc.contributor.authorKnowles, D
dc.contributor.authorWiggers, J
dc.contributor.authorLivingston, M
dc.contributor.authorRoom, R
dc.contributor.authorProdan, A
dc.contributor.authorMcDonnell, G
dc.contributor.authorO'Donnell, E
dc.contributor.authorJones, S
dc.contributor.authorHaber, PS
dc.contributor.authorMuscatello, D
dc.contributor.authorEzard, N
dc.contributor.authorPhung, N
dc.contributor.authorFreebairn, L
dc.contributor.authorIndig, D
dc.contributor.authorRychetnik, L
dc.contributor.authorAnanthapavan, J
dc.contributor.authorWutzke, S
dc.date.accessioned2020-12-21T03:52:50Z
dc.date.available2020-12-21T03:52:50Z
dc.date.issued2018-05-01
dc.identifierpii: 10.1007/s00038-017-1041-y
dc.identifier.citationAtkinson, J. -A., Knowles, D., Wiggers, J., Livingston, M., Room, R., Prodan, A., McDonnell, G., O'Donnell, E., Jones, S., Haber, P. S., Muscatello, D., Ezard, N., Phung, N., Freebairn, L., Indig, D., Rychetnik, L., Ananthapavan, J. & Wutzke, S. (2018). Harnessing advances in computer simulation to inform policy and planning to reduce alcohol-related harms. INTERNATIONAL JOURNAL OF PUBLIC HEALTH, 63 (4), pp.537-546. https://doi.org/10.1007/s00038-017-1041-y.
dc.identifier.issn1661-8556
dc.identifier.urihttp://hdl.handle.net/11343/257393
dc.description.abstractOBJECTIVES: 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.
dc.languageEnglish
dc.publisherSPRINGER BASEL AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleHarnessing advances in computer simulation to inform policy and planning to reduce alcohol-related harms
dc.typeJournal Article
dc.identifier.doi10.1007/s00038-017-1041-y
melbourne.affiliation.departmentMelbourne School of Population and Global Health
melbourne.source.titleInternational Journal of Public Health
melbourne.source.volume63
melbourne.source.issue4
melbourne.source.pages537-546
dc.rights.licenseCC BY
melbourne.elementsid1270835
melbourne.contributor.authorRoom, Robin
dc.identifier.eissn1661-8564
melbourne.accessrightsOpen Access


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