Literature DB >> 33441367

Effect of prosocial public health messages for population behaviour change in relation to respiratory infections: a systematic review protocol.

Aikaterini Grimani1,2, Chris Bonell3,4, Susan Michie3,5, Vivi Antonopoulou3,5, Michael P Kelly3,6, Ivo Vlaev3,2.   

Abstract

INTRODUCTION: The COVID-19 pandemic represents a major societal challenge that requires large-scale behaviour change, widespread collective action and cooperation to reduce viral transmission. Existing literature indicates that several messaging approaches may be effective, including emphasising the benefits to the recipient, aligning with the recipient's moral values and focusing on protecting others. Current research suggests that prosocial public health messages that highlight behaviours linked to societal benefits (eg, protecting 'each other'), rather than focusing on behaviours that protect oneself (eg, protecting 'yourself'), may be a more effective method for communicating strategies related to infectious disease. To investigate this we will conduct a systematic review that will identify what messages and behaviour change techniques have the potential to optimise the effect on population behaviour in relation to reducing transmission of respiratory infections. METHODS AND ANALYSIS: A systematic literature search of published and unpublished studies (including grey literature) in electronic databases will be conducted to identify those that meet our inclusion criteria. The search will be run in four electronic databases: MEDLINE, EMBASE, PsycINFO and Scopus. We will also conduct supplementary searches in databases of 'grey' literature such as PsycEXTRA, Social Science Research Network and OSF PREPRINTS, and use the Google Scholar search engine. A systematic approach to searching, screening, reviewing and data extraction will be applied based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Titles, abstracts and full texts for eligibility will be examined independently by researchers. The quality of the included studies will be assessed using the Cochrane Risk of Bias Tool and the Risk of Bias in Non-randomized Studies-of Interventions tool. Disagreements will be resolved by a consensus procedure. ETHICS AND DISSEMINATION: This protocol has been registered with PROSPERO. No ethical approval is required, as there will be no collection of primary data. The synthesised findings will be disseminated through peer-reviewed publication. PROSPERO REGISTRATION NUMBER: CRD42020198874. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

Entities:  

Keywords:  COVID-19; public health; respiratory infections

Mesh:

Year:  2021        PMID: 33441367      PMCID: PMC7812082          DOI: 10.1136/bmjopen-2020-044763

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


  36 in total

1.  RoB 2: a revised tool for assessing risk of bias in randomised trials.

Authors:  Jonathan A C Sterne; Jelena Savović; Matthew J Page; Roy G Elbers; Natalie S Blencowe; Isabelle Boutron; Christopher J Cates; Hung-Yuan Cheng; Mark S Corbett; Sandra M Eldridge; Jonathan R Emberson; Miguel A Hernán; Sally Hopewell; Asbjørn Hróbjartsson; Daniela R Junqueira; Peter Jüni; Jamie J Kirkham; Toby Lasserson; Tianjing Li; Alexandra McAleenan; Barnaby C Reeves; Sasha Shepperd; Ian Shrier; Lesley A Stewart; Kate Tilling; Ian R White; Penny F Whiting; Julian P T Higgins
Journal:  BMJ       Date:  2019-08-28

2.  Translating the link between social identity and health behavior into effective health communication strategies: An experimental application using antismoking advertisements.

Authors:  Meghan Bridgid Moran; Steve Sussman
Journal:  Health Commun       Date:  2014-01-21

3.  Estimates of deaths associated with seasonal influenza --- United States, 1976-2007.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2010-08-27       Impact factor: 17.586

Review 4.  Appealing to fear: A meta-analysis of fear appeal effectiveness and theories.

Authors:  Melanie B Tannenbaum; Justin Hepler; Rick S Zimmerman; Lindsey Saul; Samantha Jacobs; Kristina Wilson; Dolores Albarracín
Journal:  Psychol Bull       Date:  2015-11       Impact factor: 17.737

5.  GRADE guidelines: 18. How ROBINS-I and other tools to assess risk of bias in nonrandomized studies should be used to rate the certainty of a body of evidence.

Authors:  Holger J Schünemann; Carlos Cuello; Elie A Akl; Reem A Mustafa; Jörg J Meerpohl; Kris Thayer; Rebecca L Morgan; Gerald Gartlehner; Regina Kunz; S Vittal Katikireddi; Jonathan Sterne; Julian Pt Higgins; Gordon Guyatt
Journal:  J Clin Epidemiol       Date:  2018-02-09       Impact factor: 6.437

6.  Validation of the theoretical domains framework for use in behaviour change and implementation research.

Authors:  James Cane; Denise O'Connor; Susan Michie
Journal:  Implement Sci       Date:  2012-04-24       Impact factor: 7.327

Review 7.  Public perceptions of non-pharmaceutical interventions for reducing transmission of respiratory infection: systematic review and synthesis of qualitative studies.

Authors:  Emma Teasdale; Miriam Santer; Adam W A Geraghty; Paul Little; Lucy Yardley
Journal:  BMC Public Health       Date:  2014-06-11       Impact factor: 3.295

8.  ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions.

Authors:  Jonathan Ac Sterne; Miguel A Hernán; Barnaby C Reeves; Jelena Savović; Nancy D Berkman; Meera Viswanathan; David Henry; Douglas G Altman; Mohammed T Ansari; Isabelle Boutron; James R Carpenter; An-Wen Chan; Rachel Churchill; Jonathan J Deeks; Asbjørn Hróbjartsson; Jamie Kirkham; Peter Jüni; Yoon K Loke; Theresa D Pigott; Craig R Ramsay; Deborah Regidor; Hannah R Rothstein; Lakhbir Sandhu; Pasqualina L Santaguida; Holger J Schünemann; Beverly Shea; Ian Shrier; Peter Tugwell; Lucy Turner; Jeffrey C Valentine; Hugh Waddington; Elizabeth Waters; George A Wells; Penny F Whiting; Julian Pt Higgins
Journal:  BMJ       Date:  2016-10-12

9.  Facilitating Collective Psychosocial Resilience in the Public in Emergencies: Twelve Recommendations Based on the Social Identity Approach.

Authors:  John Drury; Holly Carter; Chris Cocking; Evangelos Ntontis; Selin Tekin Guven; Richard Amlôt
Journal:  Front Public Health       Date:  2019-06-04

10.  The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study.

Authors:  Kiesha Prem; Yang Liu; Timothy W Russell; Adam J Kucharski; Rosalind M Eggo; Nicholas Davies; Mark Jit; Petra Klepac
Journal:  Lancet Public Health       Date:  2020-03-25
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