Evidence map›Paper›PMID 34764167›Full record

SynthesisBMJ open2021

What influences people's responses to public health messages for managing risks and preventing infectious diseases? A rapid systematic review of the evidence and recommendations.

Daniela Ghio, Sadie Lawes-Wickwar, Mei Yee Tang, Tracy Epton, Neil Howlett, Elizabeth Jenkinson, Sabina Stanescu, Juliette Westbrook, Angelos P Kassianos, Daniella Watson and 13 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 4 pooled it
27.6field-weighted citation impact, top 1% of its field
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

68 citing papers in PubMed, 4 syntheses or guidelines pooled it, 105 citations in OpenAlex.

  1. Pooled it
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  15. Municipal Risk Communication and Public Trust: Reducing Counterproductive Behaviors Across Emergency Scenarios.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
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8 more citing papers are in PubMed but not listed here.

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

23 authors at 14 institutions in 1 country.

Daniela GhioDepartment of Psychology, Faculty of Health and Society, University of Salford, Manchester, UK.ORCID 0000-0002-0580-0205
Sadie Lawes-WickwarDepartment of Primary Care and Population Health, University College London, London, UK.
Mei Yee TangBehavioural Science Policy Research Unit, Population Health Sciences, Newcastle University, Newcastle upon Tyne, UK.
Tracy EptonManchester Centre for Health Psychology, University of Manchester, Manchester, UK tracy.epton@manchester.ac.uk.
Neil HowlettDepartment of Psychology, Sports, and Geography, School of Life and Medical Sciences, University of Hertfordshire, Hertfordshire, UK.ORCID 0000-0002-6502-9969
Elizabeth JenkinsonDepartment of Health and Social Sciences, University of West England, Bristol, UK.
Sabina StanescuSchool of Psychology, University of Southampton, Southampton, UK.
Juliette WestbrookDepartment of Psychology, University of Bath, Bath, UK.
Angelos P KassianosDepartment of Applied Health Research, University College London, London, UK.
Daniella WatsonHuman Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.
Lisa SutherlandBehavioural Insight for Public Affairs, Ipsos Mori, Edinburgh & London, UK.
Natalia StanulewiczFaculty of Health and Life Sciences, School of Applied Social Sciences, De Montfort University, Leicester, UK.
Ella GuestCentre for Appearance Research,Faculty of Health and Applied Sciences, University of the West of England, Bristol, UK.
Daniel ScanlanDepartment of Communication, Policy, and Research, Education Support, London, UK.
Natalie CarrManchester Centre for Health Psychology, University of Manchester, Manchester, UK.
Angel ChaterCentre for Health, Wellbeing and Behaviour Change, University of Bedfordshire, Bedfordshire, UK.
Sarah HothamCentre for Health Services Studies, University of Kent, Canterbury, UK.
Rachael ThorneloeCentre for Behavioural Science and Applied Psychology, Sheffield Hallam University, Sheffield, UK.
Christopher J ArmitageManchester Centre for Health Psychology, University of Manchester, Manchester, UK.
Madelynne ArdenCentre for Behavioural Science and Applied Psychology, Sheffield Hallam University, Sheffield, UK.
Jo HartManchester Centre for Health Psychology, University of Manchester, Manchester, UK.ORCID 0000-0001-9985-5137
Lucie Byrne-DavisManchester Centre for Health Psychology, University of Manchester, Manchester, UK.
Christopher KeyworthManchester Centre for Health Psychology, University of Manchester, Manchester, UK.
Manchester Academic Health Science Centre · GBSheffield Hallam University · GBUniversity College London · GBUniversity of Southampton · GBUniversity of the West of England · GBDe Montfort University · GBIpsos (United Kingdom) · GBManchester Metropolitan University · GBNewcastle University · GBUniversity of Bath · GBUniversity of Bedfordshire · GBUniversity of Hertfordshire · GBUniversity of Kent · GBUniversity of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividual behaviour changes, such as hand hygiene and physical distancing, are required on a population scale to reduce transmission of infectious diseases such as COVID-19. However, little is known about effective methods of communicating risk reducing information, and how populations might respond.

objectiveTo synthesise evidence relating to what (1) characterises effective public health messages for managing risk and preventing infectious disease and (2) influences people's responses to messages.

designA rapid systematic review was conducted. Protocol is published on Prospero CRD42020188704. DATA SOURCES: Electronic databases were searched: Ovid Medline, Ovid PsycINFO and Healthevidence.org, and grey literature (PsyarXiv, OSF Preprints) up to May 2020. STUDY SELECTION: All study designs that (1) evaluated public health messaging interventions targeted at adults and (2) concerned a communicable disease spread via primary route of transmission of respiratory and/or touch were included. Outcomes included preventative behaviours, perceptions/awareness and intentions. Non-English language papers were excluded. SYNTHESIS: Due to high heterogeneity studies were synthesised narratively focusing on determinants of intentions in the absence of measured adherence/preventative behaviours. Themes were developed independently by two researchers and discussed within team to reach consensus. Recommendations were translated from narrative synthesis to provide evidence-based methods in providing effective messaging.

resultsSixty-eight eligible papers were identified. Characteristics of effective messaging include delivery by credible sources, community engagement, increasing awareness/knowledge, mapping to stage of epidemic/pandemic. To influence intent effectively, public health messages need to be acceptable, increase understanding/perceptions of health threat and perceived susceptibility. DISCUSSION: There are four key recommendations: (1) engage communities in development of messaging, (2) address uncertainty immediately and with transparency, (3) focus on unifying messages from sources and (4) frame messages aimed at increasing understanding, social responsibility and personal control. Embedding principles of behavioural science into public health messaging is an important step towards more effective health-risk communication during epidemics/pandemics.

Indexed as

Communicable DiseasesCOVID-19HumansPandemicsPublic HealthSARS-CoV-2COVID-19infection controlpublic health

Identifiers

PMID34764167
PMCPMC8587350
OpenAlexW3130783464

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.