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Are Healthcare Organizations Healthy Work Ecosystems? Health and Well-Being of Health Professionals

Authors: Tânia Gaspar,Barbara Sousa,Elisabete Alves,Anabela Coelho
Publisher: MDPI AG
Publish date: 2024-11-14
ISSN: 2227-9032 DOI: 10.3390/healthcare12222277
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The reviewed paper, “Are Healthcare Organizations Healthy Work Ecosystems? Health and Well-Being of Health Professionals,” reveals significant methodological and interpretative shortcomings that challenge its scientific validity. Notable inconsistencies were found in the representation of referenced studies, including overstating the relevance of the Ecosystems of Healthy Workplaces instrument (EATS) while neglecting alternative, well-established models. The reliance on a convenience sample (n=2190) introduces significant bias, with limited representation across professional roles and geographical regions, raising concerns about generalizability.

Key methodological flaws undermine the study’s conclusions. For instance, the cross-sectional design limits causal inference, yet the authors extrapolate directional relationships between workplace ecosystems and health outcomes. Statistical evaluation inconsistencies, such as unexplained discrepancies in dimension-specific risk scores and omission of effect size reporting for critical comparisons, further weaken the robustness of findings. Gender-specific analyses fail to uncover meaningful distinctions, as differences in engagement and performance metrics are minor and lack substantive interpretation.

Transparency issues exacerbate these concerns. The absence of publicly accessible datasets and detailed descriptions of survey implementation, particularly response rate variations across hospitals (10%-20%), impairs reproducibility and raises questions about selection bias. Additionally, the exclusion of telework as a dimension, despite its growing relevance in healthcare, undermines the comprehensiveness of the study.

Finally, selective reporting of favorable metrics (e.g., emphasizing engagement improvements while underplaying widespread burnout) and the omission of critical limitations—such as the lack of representation from privately managed healthcare organizations—suggest potential bias in framing conclusions. These issues collectively compromise the credibility of the study, warranting a reassessment of its claims and methodology.

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