Evidence map›Paper›PMID 35450862›Full record

ArticleBMJ global health2022

Challenges to evidence-informed decision-making in the context of pandemics: qualitative study of COVID-19 policy advisor perspectives.

Jamie Vickery, Paul Atkinson, Leesa Lin, Olivier Rubin, Ross Upshur, Eng-Kiong Yeoh, Chris Boyer, Nicole A Errett

Abstract read
In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  10. Building national health research agendas and defining research questions.Revista panamericana de salud publica = Pan American journal of public health · 2026
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  14. Users' experience of frameworks to support evidence-informed decision-making in public health: a scoping review.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
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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

8 authors.

Jamie VickeryDepartment of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA vickeryj@uw.edu.ORCID 0000-0003-2264-2613
Paul AtkinsonDepartment of Public Health Policy and Systems/Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool, UK.
Leesa LinDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0003-4123-4762
Olivier RubinDepartment of Social Sciences and Business, Roskilde University, Roskilde, Denmark.
Ross UpshurDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Eng-Kiong YeohThe Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, New Territories, China.
Chris BoyerDepartment of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA.
Nicole A ErrettDepartment of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA.

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Nicole Ann Errett · 1995 to 2026
$42.5M
NIEHS NIH HHS P30 ES007033
6 · The paper itself

Abstract

introductionThe exceptional production of research evidence during the COVID-19 pandemic required deployment of scientists to act in advisory roles to aid policy-makers in making evidence-informed decisions. The unprecedented breadth, scale and duration of the pandemic provides an opportunity to understand how science advisors experience and mitigate challenges associated with insufficient, evolving and/or conflicting evidence to inform public health decision-making.

objectivesTo explore critically the challenges for advising evidence-informed decision-making (EIDM) in pandemic contexts, particularly around non-pharmaceutical control measures, from the perspective of experts advising policy-makers during COVID-19 globally.

methodsWe conducted in-depth qualitative interviews with 27 scientific experts and advisors who are/were engaged in COVID-19 EIDM representing four WHO regions and 11 countries (Australia, Canada, Colombia, Denmark, Ghana, Hong Kong, Nigeria, Sweden, Uganda, UK, USA) from December 2020 to May 2021. Participants informed decision-making at various and multiple levels of governance, including local/city (n=3), state/provincial (n=8), federal or national (n=20), regional or international (n=3) and university-level advising (n=3). Following each interview, we conducted member checks with participants and thematically analysed interview data using NVivo for Mac software.

resultsFindings from this study indicate multiple overarching challenges to pandemic EIDM specific to interpretation and translation of evidence, including the speed and influx of new, evolving, and conflicting evidence; concerns about scientific integrity and misinterpretation of evidence; the limited capacity to assess and produce evidence, and adapting evidence from other contexts; multiple forms of evidence and perspectives needed for EIDM; the need to make decisions quickly and under conditions of uncertainty; and a lack of transparency in how decisions are made and applied.

conclusionsFindings suggest the urgent need for global EIDM guidance that countries can adapt for in-country decisions as well as coordinated global response to future pandemics.

Indexed as

COVID-19PandemicsHealth PolicyHumansPolicy MakingQualitative ResearchCOVID-19health policypublic healthQUAlitative study

Identifiers

PMID35450862
PMCPMC9023846

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.