Evidence map›Paper›PMID 40296951›Full record

ArticleCureus2025

Evaluating Professional Burnout and Psychological Distress Among Intensive Care Unit Healthcare Workers During the COVID-19 Pandemic: A Single-Center Cross-Sectional Study.

Jonathan Y Boey, Bridget Ng, Yi Lin Lee

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jonathan Y BoeyMedicine, National University Hospital, Singapore, SGP.
Bridget NgAnaesthesiology, Singapore General Hospital, Singapore, SGP.
Yi Lin LeeAnaesthesiology, Singapore General Hospital, Singapore, SGP.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim This study aimed to evaluate burnout, stress, anxiety, and depression among intensive care unit (ICU) healthcare workers (HCWs) in Singapore during the COVID-19 pandemic. It sought to identify risk factors associated with burnout to inform targeted interventions and improve HCWs' well-being and patient care quality. Subject and methods A cross-sectional survey was conducted in December 2021 in the ICU of Sengkang General Hospital, Singapore. Burnout was measured using the Maslach Burnout Inventory-Human Services Survey (MBI-HSS), stress was assessed with the Cohen Perceived Stress Scale (CPSS), and anxiety and depression were evaluated using the Patient Health Questionnaire-4 (PHQ-4). Physical questionnaires were distributed anonymously to HCWs. Multiple logistic regression analysis was performed to examine associations between burnout and demographic/work-related factors. Results A total of 76 HCWs responded to the survey out of 100 who were eligible. The study found an overall burnout rate of 43/76 (56.6%) among HCWs, with respiratory therapists being the most affected. Emotional exhaustion was reported by 53/76 (69.7%) participants, depersonalization by 35/76 (46.1%), and reduced personal accomplishment by 64/76 (84.2%). Multiple logistic regression demonstrated higher burnout rates associated with respiratory therapists and lower burnout rates associated with Filipino ethnicity. Stress affected 66/76 (86.8%) of HCWs, with physicians reporting the highest levels. Stress showed moderate correlations with emotional exhaustion (0.38) and depersonalization (0.33). Anxiety and depression, which were present in 63/76 (82.9%) participants, were strongly correlated with all burnout dimensions. Conclusion The findings highlight the urgent need for mental health resources and stress management interventions to address burnout among ICU HCWs, particularly in the context of the COVID-19 pandemic. Implementing targeted strategies to mitigate burnout can enhance HCWs' well-being and maintain high standards of patient care. Further longitudinal research is recommended to explore the long-term impacts and effectiveness of interventions.

Indexed as

anxietycovid-19critical caredepressionintensive care unitpandemicprofessional burnout

Identifiers

PMID40296951
PMCPMC12036641

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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.