Literature DB >> 28243673

Dynamic simulation modelling of policy responses to reduce alcohol-related harms: rationale and procedure for a participatory approach.

Jo-An Atkinson1, Eloise O'Donnell2, John Wiggers3, Geoff McDonnell2, Jo Mitchell4, Louise Freebairn5, Devon Indig6, Lucie Rychetnik7.   

Abstract

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.

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Year:  2017        PMID: 28243673     DOI: 10.17061/phrp2711707

Source DB:  PubMed          Journal:  Public Health Res Pract        ISSN: 2204-2091


  7 in total

1.  Decision makers' experience of participatory dynamic simulation modelling: methods for public health policy.

Authors:  Louise Freebairn; Jo-An Atkinson; Paul M Kelly; Geoff McDonnell; Lucie Rychetnik
Journal:  BMC Med Inform Decis Mak       Date:  2018-12-12       Impact factor: 2.796

2.  Turning conceptual systems maps into dynamic simulation models: An Australian case study for diabetes in pregnancy.

Authors:  Louise Freebairn; Jo-An Atkinson; Nathaniel D Osgood; Paul M Kelly; Geoff McDonnell; Lucie Rychetnik
Journal:  PLoS One       Date:  2019-06-27       Impact factor: 3.240

3.  Reducing youth suicide: systems modelling and simulation to guide targeted investments across the determinants.

Authors:  Jo-An Occhipinti; Adam Skinner; Frank Iorfino; Kenny Lawson; Julie Sturgess; Warren Burgess; Tracey Davenport; Danica Hudson; Ian Hickie
Journal:  BMC Med       Date:  2021-03-12       Impact factor: 8.775

4.  Participatory Methods for Systems Modeling of Youth Mental Health: Implementation Protocol.

Authors:  Louise Freebairn; Jo-An Occhipinti; Yun Ju C Song; Adam Skinner; Kenny Lawson; Grace Yeeun Lee; Samuel J Hockey; Samantha Huntley; Ian B Hickie
Journal:  JMIR Res Protoc       Date:  2022-02-07

5.  Knowledge mobilisation for policy development: implementing systems approaches through participatory dynamic simulation modelling.

Authors:  Louise Freebairn; Lucie Rychetnik; Jo-An Atkinson; Paul Kelly; Geoff McDonnell; Nick Roberts; Christine Whittall; Sally Redman
Journal:  Health Res Policy Syst       Date:  2017-10-02

6.  Harnessing advances in computer simulation to inform policy and planning to reduce alcohol-related harms.

Authors:  Jo-An Atkinson; Dylan Knowles; John Wiggers; Michael Livingston; Robin Room; Ante Prodan; Geoff McDonnell; Eloise O'Donnell; Sandra Jones; Paul S Haber; David Muscatello; Nadine Ezard; Nghi Phung; Louise Freebairn; Devon Indig; Lucie Rychetnik; Jaithri Ananthapavan; Sonia Wutzke
Journal:  Int J Public Health       Date:  2017-10-19       Impact factor: 3.380

7.  Impacts of licensed premises trading hour policies on alcohol-related harms.

Authors:  Jo-An Atkinson; Ante Prodan; Michael Livingston; Dylan Knowles; Eloise O'Donnell; Robin Room; Devon Indig; Andrew Page; Geoff McDonnell; John Wiggers
Journal:  Addiction       Date:  2018-03-02       Impact factor: 6.526

  7 in total

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