Art therapy-based interventions to address burnout and psychosocial distress in healthcare workers-a systematic review.


Journal

BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677

Informations de publication

Date de publication:
04 Oct 2023
Historique:
received: 11 03 2023
accepted: 23 08 2023
medline: 2 11 2023
pubmed: 5 10 2023
entrez: 4 10 2023
Statut: epublish

Résumé

Burnout and psychosocial distress are serious and growing issues for healthcare workers (HCWs) and healthcare systems across the globe. Exacerbated by changes in healthcare delivery during and following the Covid-19 pandemic, these issues negatively affect HCW wellbeing, clinical outcomes and patient safety. Art Therapy has demonstrated promise as a suitable but under researched intervention, warranting further investigation. This systematic review aims to ascertain what art therapy-based interventions used to address burnout and / or psychosocial distress in HCWs have been reported in the health and social care literature and how these have been evaluated. Six databases (PubMed, PsycINFO, MEDLINE, EMBASE, CINAHL, ProQuest Central), Google Scholar and three clinical trial registries (CENTRAL, ICTRP and ClinicalTrials.gov) were searched for studies using art therapy-based methods to engage with burnout risk or psychosocial distress in HCWs. Following screening for eligibility study characteristics and outcomes were extracted by two reviewers independently. Studies were evaluated using the Joanna Briggs Institute (JBI) Critical Appraisal Tools. Outcomes were grouped for analysis. Quantitative and qualitative results were synthesised and integrated using narrative synthesis. Twenty-seven studies, drawn from thirteen countries, spanning five continents were selected for inclusion. Fifty percent were published in the last five years, indicating growing global research in the field. Fourteen studies used quantitative research methods and thirteen used qualitative methods. A total of 1580 participants took part in the studies, with nurses most broadly represented (59%). Interventions were mostly delivered in groups (95%) and by an art therapist (70%). Heterogeneity and insufficient randomised controlled trials precluded the possibility of meta-analysis. However, a review of available data showed evidence of medium to large effects for emotional exhaustion (burnout), work-related stress and common mental health issues. A content analysis of qualitative data of perceived effect complemented quantitative findings. Global research into the use of art therapy-based methods to address burnout and psychosocial distress in HCWs is growing. Whilst further high-quality evidence such as randomised controlled trials would be beneficial, findings suggest that art therapy-based methods should be strongly considered as an acceptable and effective treatment for symptoms of emotional exhaustion (burnout) and psychosocial distress in HCWs.

Sections du résumé

BACKGROUND BACKGROUND
Burnout and psychosocial distress are serious and growing issues for healthcare workers (HCWs) and healthcare systems across the globe. Exacerbated by changes in healthcare delivery during and following the Covid-19 pandemic, these issues negatively affect HCW wellbeing, clinical outcomes and patient safety. Art Therapy has demonstrated promise as a suitable but under researched intervention, warranting further investigation. This systematic review aims to ascertain what art therapy-based interventions used to address burnout and / or psychosocial distress in HCWs have been reported in the health and social care literature and how these have been evaluated.
METHODS METHODS
Six databases (PubMed, PsycINFO, MEDLINE, EMBASE, CINAHL, ProQuest Central), Google Scholar and three clinical trial registries (CENTRAL, ICTRP and ClinicalTrials.gov) were searched for studies using art therapy-based methods to engage with burnout risk or psychosocial distress in HCWs. Following screening for eligibility study characteristics and outcomes were extracted by two reviewers independently. Studies were evaluated using the Joanna Briggs Institute (JBI) Critical Appraisal Tools. Outcomes were grouped for analysis. Quantitative and qualitative results were synthesised and integrated using narrative synthesis.
RESULTS RESULTS
Twenty-seven studies, drawn from thirteen countries, spanning five continents were selected for inclusion. Fifty percent were published in the last five years, indicating growing global research in the field. Fourteen studies used quantitative research methods and thirteen used qualitative methods. A total of 1580 participants took part in the studies, with nurses most broadly represented (59%). Interventions were mostly delivered in groups (95%) and by an art therapist (70%). Heterogeneity and insufficient randomised controlled trials precluded the possibility of meta-analysis. However, a review of available data showed evidence of medium to large effects for emotional exhaustion (burnout), work-related stress and common mental health issues. A content analysis of qualitative data of perceived effect complemented quantitative findings.
CONCLUSION CONCLUSIONS
Global research into the use of art therapy-based methods to address burnout and psychosocial distress in HCWs is growing. Whilst further high-quality evidence such as randomised controlled trials would be beneficial, findings suggest that art therapy-based methods should be strongly considered as an acceptable and effective treatment for symptoms of emotional exhaustion (burnout) and psychosocial distress in HCWs.

Identifiants

pubmed: 37794353
doi: 10.1186/s12913-023-09958-8
pii: 10.1186/s12913-023-09958-8
pmc: PMC10552408
doi:

Types de publication

Systematic Review Meta-Analysis Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1059

Subventions

Organisme : Barts Charity
ID : G-002063
Organisme : Barts Charity
ID : MRC&U0042

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

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Auteurs

Megan Tjasink (M)

Queen Mary University of London, London, UK. m.tjasink@qmul.ac.uk.

Eleanor Keiller (E)

Queen Mary University of London, London, UK.

Madison Stephens (M)

Queen Mary University of London, London, UK.

Catherine Elizabeth Carr (CE)

Queen Mary University of London, London, UK.

Stefan Priebe (S)

Queen Mary University of London, London, UK.

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Classifications MeSH