http://www.phrp.com.au/issues/february-2017-volume-27-issue-1-2/dynamic-simulation-modelling-of-policy-responses-to-reduce-alcohol-related-harms-rationale-and-procedure-for-a-participatory-approach/
Development of effective policy responses to address complex public health problems can be challenged by a lack of clarity about the interaction of risk factors driving the problem, differing views of stakeholders on the most appropriate and effective intervention approaches, a lack of evidence to s...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Sax Institute
2017-02-01
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| Series: | Public Health Research & Practice |
| Subjects: | |
| Online Access: | http://www.phrp.com.au/issues/february-2017-volume-27-issue-1-2/dynamic-simulation-modelling-of-policy-responses-to-reduce-alcohol-related-harms-rationale-and-procedure-for-a-participatory-approach/ |
| _version_ | 1829482079378735104 |
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| author | Jo-An Atkinson Eloise O'Donnell John Wiggers Geoff McDonnell Jo Mitchell Louise Freebairn Devon Indig Lucie Rychetnik |
| author_facet | Jo-An Atkinson Eloise O'Donnell John Wiggers Geoff McDonnell Jo Mitchell Louise Freebairn Devon Indig Lucie Rychetnik |
| author_sort | Jo-An Atkinson |
| collection | DOAJ |
| description | Development of effective policy responses to address complex public health problems can be challenged by a lack of clarity about the interaction of risk factors driving the problem, differing views of stakeholders on the most appropriate and effective intervention approaches, a lack of evidence to support commonly implemented and acceptable intervention approaches, and a lack of acceptance of effective interventions. Consequently, political considerations, community advocacy and industry lobbying can contribute to a hotly contested debate about the most appropriate course of action; this can hinder consensus and give rise to policy resistance. The problem of alcohol misuse and its associated harms in New South Wales (NSW), Australia, provides a relevant example of such challenges.
Dynamic simulation modelling is increasingly being valued by the health sector as a robust tool to support decision making to address complex problems. It allows policy makers to ask ‘what-if’ questions and test the potential impacts of different policy scenarios over time, before solutions are implemented in the real world. Participatory approaches to modelling enable researchers, policy makers, program planners, practitioners and consumer representatives to collaborate with expert modellers to ensure that models are transparent, incorporate diverse evidence and perspectives, are better aligned to the decision-support needs of policy makers, and can facilitate consensus building for action.
This paper outlines a procedure for embedding stakeholder engagement and consensus building in the development of dynamic simulation models that can guide the development of effective, coordinated and acceptable policy responses to complex public health problems, such as alcohol-related harms in NSW. |
| first_indexed | 2024-12-14T21:40:55Z |
| format | Article |
| id | doaj.art-84cb311b9bed41aca5b7a58d92830e8b |
| institution | Directory Open Access Journal |
| issn | 2204-2091 |
| language | English |
| last_indexed | 2024-12-14T21:40:55Z |
| publishDate | 2017-02-01 |
| publisher | Sax Institute |
| record_format | Article |
| series | Public Health Research & Practice |
| spelling | doaj.art-84cb311b9bed41aca5b7a58d92830e8b2022-12-21T22:46:28ZengSax InstitutePublic Health Research & Practice2204-20912017-02-0127110.17061/phrp2711707http://www.phrp.com.au/issues/february-2017-volume-27-issue-1-2/dynamic-simulation-modelling-of-policy-responses-to-reduce-alcohol-related-harms-rationale-and-procedure-for-a-participatory-approach/Jo-An Atkinson0Eloise O'Donnell1John Wiggers2Geoff McDonnell3Jo Mitchell4Louise Freebairn5Devon Indig6Lucie Rychetnik7The Australian Prevention Partnership Centre, Sax Institute, Sydney, NSW; School of Medicine, University of Sydney, NSW, AustraliaThe Australian Prevention Partnership Centre, Sax Institute, Sydney, NSWThe Australian Prevention Partnership Centre, Sax Institute, Sydney, NSW; Hunter New England Population Health, Newcastle, NSW, Australia; School of Medicine and Public Health, University of Newcastle, NSW, AustraliaThe Australian Prevention Partnership Centre, Sax Institute, Sydney, NSWCentre for Population Health, NSW Ministry of Health, Sydney, AustraliaThe Australian Prevention Partnership Centre, Sax Institute, Sydney, NSW; Knowledge Translation and Health Outcomes, Epidemiology Section, ACT Health, Canberra, AustraliaThe Australian Prevention Partnership Centre, Sax Institute, Sydney, NSW; School of Public Health, University of Sydney, NSW, AustraliaThe Australian Prevention Partnership Centre, Sax Institute, Sydney, NSW; School of Medicine, University of Notre Dame, Sydney, NSW, AustraliaDevelopment of effective policy responses to address complex public health problems can be challenged by a lack of clarity about the interaction of risk factors driving the problem, differing views of stakeholders on the most appropriate and effective intervention approaches, a lack of evidence to support commonly implemented and acceptable intervention approaches, and a lack of acceptance of effective interventions. Consequently, political considerations, community advocacy and industry lobbying can contribute to a hotly contested debate about the most appropriate course of action; this can hinder consensus and give rise to policy resistance. The problem of alcohol misuse and its associated harms in New South Wales (NSW), Australia, provides a relevant example of such challenges. Dynamic simulation modelling is increasingly being valued by the health sector as a robust tool to support decision making to address complex problems. It allows policy makers to ask ‘what-if’ questions and test the potential impacts of different policy scenarios over time, before solutions are implemented in the real world. Participatory approaches to modelling enable researchers, policy makers, program planners, practitioners and consumer representatives to collaborate with expert modellers to ensure that models are transparent, incorporate diverse evidence and perspectives, are better aligned to the decision-support needs of policy makers, and can facilitate consensus building for action. This paper outlines a procedure for embedding stakeholder engagement and consensus building in the development of dynamic simulation models that can guide the development of effective, coordinated and acceptable policy responses to complex public health problems, such as alcohol-related harms in NSW.http://www.phrp.com.au/issues/february-2017-volume-27-issue-1-2/dynamic-simulation-modelling-of-policy-responses-to-reduce-alcohol-related-harms-rationale-and-procedure-for-a-participatory-approach/alcohol and other drugshealth information and technology |
| spellingShingle | Jo-An Atkinson Eloise O'Donnell John Wiggers Geoff McDonnell Jo Mitchell Louise Freebairn Devon Indig Lucie Rychetnik http://www.phrp.com.au/issues/february-2017-volume-27-issue-1-2/dynamic-simulation-modelling-of-policy-responses-to-reduce-alcohol-related-harms-rationale-and-procedure-for-a-participatory-approach/ Public Health Research & Practice alcohol and other drugs health information and technology |
| title | http://www.phrp.com.au/issues/february-2017-volume-27-issue-1-2/dynamic-simulation-modelling-of-policy-responses-to-reduce-alcohol-related-harms-rationale-and-procedure-for-a-participatory-approach/ |
| title_full | http://www.phrp.com.au/issues/february-2017-volume-27-issue-1-2/dynamic-simulation-modelling-of-policy-responses-to-reduce-alcohol-related-harms-rationale-and-procedure-for-a-participatory-approach/ |
| title_fullStr | http://www.phrp.com.au/issues/february-2017-volume-27-issue-1-2/dynamic-simulation-modelling-of-policy-responses-to-reduce-alcohol-related-harms-rationale-and-procedure-for-a-participatory-approach/ |
| title_full_unstemmed | http://www.phrp.com.au/issues/february-2017-volume-27-issue-1-2/dynamic-simulation-modelling-of-policy-responses-to-reduce-alcohol-related-harms-rationale-and-procedure-for-a-participatory-approach/ |
| title_short | http://www.phrp.com.au/issues/february-2017-volume-27-issue-1-2/dynamic-simulation-modelling-of-policy-responses-to-reduce-alcohol-related-harms-rationale-and-procedure-for-a-participatory-approach/ |
| title_sort | http www phrp com au issues february 2017 volume 27 issue 1 2 dynamic simulation modelling of policy responses to reduce alcohol related harms rationale and procedure for a participatory approach |
| topic | alcohol and other drugs health information and technology |
| url | http://www.phrp.com.au/issues/february-2017-volume-27-issue-1-2/dynamic-simulation-modelling-of-policy-responses-to-reduce-alcohol-related-harms-rationale-and-procedure-for-a-participatory-approach/ |
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