ArticleWorldviews on evidence-based nursing2025
The Relationship Between Depression, Burnout, and Suicide Among Healthcare Professionals: A Scoping Review.
Article in Worldviews on evidence-based nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed.
- Review
- Prevalence and predictors of burnout among Indian healthcare professionals: A cross-sectional analytical study.Bioinformation · 2026Article
- Association of work-time control with burnout and turnover intention: a cross-sectional analysis of a general working population in Korea.Epidemiology and health · 2026Article
- The relationship between behavioral activation and burnout in a community setting: the mediating role of acceptance-based action, automatic negative thought, and self-efficacy.Frontiers in psychology · 2025Article
- Modifiable Protective Strategies and System-Level Predictors of Professional Quality of Life in Oncology Nurses: A Secondary Analysis.SAGE open nursingArticle
- Facing the Silent Crisis: Suicidal Ideation and Suicide in the Nursing Profession.Journal of the American Psychiatric Nurses AssociationReview
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBurnout and mental health concerns are prevalent among healthcare workers. Female physicians, nurses, and healthcare staff are at a higher risk of suicide than the general population. Burnout and depression have been known to coexist with suicidal ideation and behaviors.
aimsTo identify what is known about the relationship between burnout and depression in the context of suicide among healthcare workers.
methodsRegistered scoping review of English language articles indexed to CINAHL, PubMed, and PsychInfo databases with date of publication prior to March 5, 2024.
resultsThe review yielded nine eligible studies, all employing observational or descriptive methodologies. Depression was found to be a predictor of suicidal ideation. While burnout was associated with depressive symptoms and found to coexist with suicidal ideation, it was not predictive of ideation. Emotional exhaustion and depersonalization were key components of burnout linked to depression. No studies were found exploring survivorship factors in healthcare professionals. Suggested prevention strategies that need to be tested include mindfulness and cognitive-behavioral skills training, improved workplace conditions, addressing loneliness, and fostering resilience. LINKING EVIDENCE TO ACTION: Interventional studies are needed to test strategies addressing burnout, depression, suicidal behaviors, and survivorship of suicide attempts. Depression should be considered and evaluated when healthcare workers exhibit symptoms of burnout. Moreover, the Socio-economic Model of Suicide Prevention (i.e., SESM) can be used to categorize suicide prevention measures in healthcare. Burnout and depression interact to influence mental health outcomes among healthcare professionals, with depression playing a more significant role in predicting suicidal ideation. Despite the demonstrated relationships, critical gaps in knowledge exist in understanding survivorship and in the development and testing of effective interventions. Future interventional multisite research is needed using validated tools to identify best practices in suicide prevention for healthcare professionals.
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Registered trials
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.