Evidence Hub

The prevalence, related factors and interventions of oncology nurses' burnout in different continents: A systematic review and meta-analysis

Yaoxian Ma, Tian Xie, Jian Zhang, Hui-qing Yang

Journal of Clinical Nursing, 2023

37 citations

Abstract

BACKGROUND

Burnout is a significant occupational problem among oncology nurses, affecting their physical and mental health and the quality of medical care. Besides, there is a gradually increasing trend that we should pay more attention to.

OBJECTIVES

To investigate the prevalence, influencing factors and interventions of oncology nurses' burnout among different continents.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

English literature in PubMed, EMBASE, MEDLINE/EBSCOhost, CINAHL Complete and Web and of Science were searched before 1 March 2022.

RESULTS

Twenty studies included 5904 oncology nurses in this review. Meta-analysis was performed in 19 of the studies. First, the pooled mean scores estimate for emotional exhaustion (EE) was 22.13 (95% CI: 19.69-24.58), depersonalization (DP) was 6.89 (95% CI: 5.67-8.10) and personal accomplishment (PA) was 32.86 (95% CI: 29.34-36.37). A high level of burnout was defined as a high level of EE (score ≥ 27), a high level of DP (score ≥ 10), and a low level of PA (score ≤ 33). Of these, 36.40% of nurses reported high EE, 28.26% reported high DP and 28.68% reported low levels of PA. Furthermore, there are differences in the prevalence, influencing factors and intervention measures of burnout among oncology nurses in different regions. The highest pooled mean scores for EE and DP were found in Asia. And the highest pooled mean scores for PA were found in the Americas. The factors that influence burnout among Asian oncology…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free