A framework for considering the utility of models when facing tough decisions in public health: a guideline for policy-makers

Jason Thompson; Roderick McClure; Nick  Scott; Margaret Hellard; Romesh  Abeysuriya; Rajith  Vidanaarachchi; John  Thwaites; Jeffrey V.  Lazarus; John  Lavis; Susan  Michie; Chris  Bullen; Mikhail  Prokopenko; Sheryl L.  Chang; Oliver M.  Cliff; Cameron  Zachreson; Antony  Blakely; Tim Wilson; Driss Ait  Ouakrim; Vijay  Sundararajan

doi:10.1186/s12961-022-00902-6

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A framework for considering the utility of models when facing tough decisions in public health: a guideline for policy-makers

Journal article

Open access

Peer reviewed

A framework for considering the utility of models when facing tough decisions in public health: a guideline for policy-makers

Jason Thompson, Roderick McClure, Nick Scott, Margaret Hellard, Romesh Abeysuriya, Rajith Vidanaarachchi, John Thwaites, Jeffrey V. Lazarus, John Lavis, Susan Michie, …

Health Research Policy and Systems, Vol.20(1), pp.1-7

2022

DOI: https://doi.org/10.1186/s12961-022-00902-6

PMCID: PMC9547676

PMID: 36209122

Appears in COVID-19 Research

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Abstract

Policy

Decision support

Decision-making

Public health

Modelling

COVID-19

The COVID19 pandemic has brought the combined disciplines of public health, infectious disease and policy modelling squarely into the spotlight. Never before have decisions regarding public health measures and their impacts been such a topic of international deliberation, from the level of individuals and communities through to global leaders. Nor have models developed at rapid pace and often in the absence of complete information ever been so central to the decision making process. However, after nearly 3 years of experience with modelling, policy makers need to be more confident about which models will be most helpful to support them when taking public health decisions, and modellers need to better understand the factors that will lead to successful model adoption and utilization. We present a three stage framework for achieving these ends.

Details

Title: A framework for considering the utility of models when facing tough decisions in public health: a guideline for policy-makers
Authors: Jason Thompson (Corresponding Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems Science
Roderick McClure (Author) - University of New England
Nick Scott (Author) - Burnet Institute
Margaret Hellard (Author) - Monash University
Romesh Abeysuriya (Author) - Burnet Institute
Rajith Vidanaarachchi (Author) - University of the Sunshine Coast
John Thwaites (Author) - Monash University
Jeffrey V. Lazarus (Author) - Universitat de Barcelona
John Lavis (Author) - McMaster University
Susan Michie (Author) - University College London
Chris Bullen (Author) - University of Auckland
Mikhail Prokopenko (Author) - The University of Sydney
Sheryl L. Chang (Author) - The University of Sydney
Oliver M. Cliff (Author) - The University of Sydney
Cameron Zachreson (Author) - The University of Sydney
Antony Blakely (Author) - The University of Melbourne
Tim Wilson (Author) - The University of Melbourne
Driss Ait Ouakrim (Author) - The University of Melbourne
Vijay Sundararajan (Author) - The University of Melbourne
Publication details: Health Research Policy and Systems, Vol.20(1), pp.1-7
Publisher: BioMed Central Ltd.
Date published: 2022
DOI: 10.1186/s12961-022-00902-6
ISSN: 2254-9137; 1478-4505
PMID: 36209122; PMC9547676
Copyright note: © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Grants: Designing injury rehabilitation schemes for transport systems of tomorrow, DE180101411, Australian Research Council (Australia, Canberra) - ARC
Organisation Unit: Centre for Human Factors and Systems Science
Language: English
Record Identifier: 99678891202621
Output Type: Journal article