How effective are social norms interventions in changing the clinical behaviours of healthcare workers? A systematic review and meta-analysis.

Audit and feedback Credible source Health professional behaviour Information about others’ approval Meta-analysis Social comparison Social incentive Social norm Social reward Systematic review

Journal

Implementation science : IS
ISSN: 1748-5908
Titre abrégé: Implement Sci
Pays: England
ID NLM: 101258411

Informations de publication

Date de publication:
07 01 2021
Historique:
received: 12 05 2020
accepted: 09 12 2020
entrez: 8 1 2021
pubmed: 9 1 2021
medline: 26 10 2021
Statut: epublish

Résumé

Healthcare workers perform clinical behaviours which impact on patient diagnoses, care, treatment and recovery. Some methods of supporting healthcare workers in changing their behaviour make use of social norms by exposing healthcare workers to the beliefs, values, attitudes or behaviours of a reference group or person. This review aimed to evaluate evidence on (i) the effect of social norms interventions on healthcare worker clinical behaviour change and (ii) the contexts, modes of delivery and behaviour change techniques (BCTs) associated with effectiveness. Systematic review and meta-analysis of randomised controlled trials. Searches were undertaken in seven databases. The primary outcome was compliance with a desired healthcare worker clinical behaviour and the secondary outcome was patient health outcomes. Outcomes were converted into standardised mean differences (SMDs). We performed meta-analyses and presented forest plots, stratified by five social norms BCTs (social comparison, credible source, social reward, social incentive and information about others' approval). Sources of variation in social norms BCTs, context and mode of delivery were explored using forest plots, meta-regression and network meta-analysis. Combined data from 116 trials suggested that social norms interventions were associated with an improvement in healthcare worker clinical behaviour outcomes of 0.08 SMDs (95%CI 0.07 to 0.10) (n = 100 comparisons), and an improvement in patient health outcomes of 0.17 SMDs (95%CI 0.14 to 0.20) (n = 14), on average. Heterogeneity was high, with an overall I Social norms interventions appeared to be an effective method of changing the clinical behaviour of healthcare workers and have a positive effect on patient health outcomes in a variety of health service contexts. Although the overall result is modest and variable, there is the potential for social norms interventions to be applied at large scale. PROSPERO CRD42016045718 .

Sections du résumé

BACKGROUND
Healthcare workers perform clinical behaviours which impact on patient diagnoses, care, treatment and recovery. Some methods of supporting healthcare workers in changing their behaviour make use of social norms by exposing healthcare workers to the beliefs, values, attitudes or behaviours of a reference group or person. This review aimed to evaluate evidence on (i) the effect of social norms interventions on healthcare worker clinical behaviour change and (ii) the contexts, modes of delivery and behaviour change techniques (BCTs) associated with effectiveness.
METHODS
Systematic review and meta-analysis of randomised controlled trials. Searches were undertaken in seven databases. The primary outcome was compliance with a desired healthcare worker clinical behaviour and the secondary outcome was patient health outcomes. Outcomes were converted into standardised mean differences (SMDs). We performed meta-analyses and presented forest plots, stratified by five social norms BCTs (social comparison, credible source, social reward, social incentive and information about others' approval). Sources of variation in social norms BCTs, context and mode of delivery were explored using forest plots, meta-regression and network meta-analysis.
RESULTS
Combined data from 116 trials suggested that social norms interventions were associated with an improvement in healthcare worker clinical behaviour outcomes of 0.08 SMDs (95%CI 0.07 to 0.10) (n = 100 comparisons), and an improvement in patient health outcomes of 0.17 SMDs (95%CI 0.14 to 0.20) (n = 14), on average. Heterogeneity was high, with an overall I
CONCLUSIONS
Social norms interventions appeared to be an effective method of changing the clinical behaviour of healthcare workers and have a positive effect on patient health outcomes in a variety of health service contexts. Although the overall result is modest and variable, there is the potential for social norms interventions to be applied at large scale.
TRIAL REGISTRATION
PROSPERO CRD42016045718 .

Identifiants

pubmed: 33413437
doi: 10.1186/s13012-020-01072-1
pii: 10.1186/s13012-020-01072-1
pmc: PMC7792225
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

8

Subventions

Organisme : Department of Health
ID : 17/06/06
Pays : United Kingdom

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Auteurs

Mei Yee Tang (MY)

Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology Medicine and Health, University of Manchester, Oxford Road, Manchester, M13 9PL, UK. meiyee.tang@newcastle.ac.uk.
National Institute of Health Research Behavioural Science Policy Research Unit, Population Health Sciences, Baddiley-Clark Building, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, NE2 4AX, UK. meiyee.tang@newcastle.ac.uk.

Sarah Rhodes (S)

Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology Medicine and Health, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.

Rachael Powell (R)

Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, M13 9PL, UK.

Laura McGowan (L)

Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, M13 9PL, UK.

Elizabeth Howarth (E)

Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology Medicine and Health, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.

Benjamin Brown (B)

Health e-Research Centre, Farr Institute for Health Informatics Research, Faculty of Biology Medicine and Health, University of Manchester, Manchester, M13 9PL, UK.
Centre for Primary Care, School of Health Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, M13 9PL, UK.

Sarah Cotterill (S)

Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology Medicine and Health, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.

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