Evidence map›Paper›PMID 36209122›Full record

ArticleHealth research policy and systems2022

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 and 9 more

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Health research policy and systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Mathematical modelling for pandemic preparedness in Canada: Learning from COVID-19.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2024
    Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Jason ThompsonTransport, Health and Urban Designed (THUD) Research Laboratory, Melbourne School of Design, The University of Melbourne, Melbourne, Australia. jason.thompson@unimelb.edu.au.ORCID http://orcid.org/0000-0002-3146-1198
Roderick McClureFaculty of Medicine and Health, University of New England, Armidale, Australia.
Nick ScottBurnet Institute, Melbourne, Australia.
Margaret HellardBurnet Institute, Melbourne, Australia.
Romesh AbeysuriyaBurnet Institute, Melbourne, Australia.
Rajith VidanaarachchiTransport, Health and Urban Designed (THUD) Research Laboratory, Melbourne School of Design, The University of Melbourne, Melbourne, Australia.
John ThwaitesMonash University, Melbourne, Australia.
Jeffrey V LazarusBarcelona Institute for Global Health (ISGlobal), Hospital Clinic, University of Barcelona, Barcelona, Spain.
John LavisMcMaster Health Forum, McMaster University, Hamilton, ON, Canada.
Susan MichieCentre for Behaviour Change, University College London, London, United Kingdom.
Chris BullenNational Institute for Health Innovation, The University of Auckland, Auckland, New Zealand.
Mikhail ProkopenkoCentre for Complex Systems, The University of Sydney, Camperdown, Australia.
Sheryl L ChangCentre for Complex Systems, The University of Sydney, Camperdown, Australia.
Oliver M CliffCentre for Complex Systems, The University of Sydney, Camperdown, Australia.
Cameron ZachresonCentre for Complex Systems, The University of Sydney, Camperdown, Australia.
Antony BlakelySchool of Population and Global Health, The University of Melbourne, Melbourne, Australia.
Tim WilsonSchool of Population and Global Health, The University of Melbourne, Melbourne, Australia.
Driss Ait OuakrimSchool of Population and Global Health, The University of Melbourne, Melbourne, Australia.
Vijay SundararajanSchool of Population and Global Health, The University of Melbourne, Melbourne, Australia.

Funding

Australian Research Council DE180101411
6 · The paper itself

Abstract

The COVID-19 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.

Indexed as

COVID-19Public HealthAdministrative PersonnelGuidelines as TopicHumansPandemicsPolicyDecision-makingDecision supportModellingPolicyPublic health

Identifiers

PMID36209122
PMCPMC9547676

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.