Predicting nurse burnout: A logistic regression approach to workplace and demographic factors

Burnout is more prevalent among rural nurses and, to a lesser extent, among female nurses, suggesting the need for context-sensitive and inclusive interventions. Burnout stems from systemic challenges such as excessive workload, insufficient managerial support, and role misalignment. Addressing these issues requires organizational changes including staffing improvements, supportive leadership, and professional development. Future research should apply standardized burnout measures and longitudinal approaches to better understand nurse well-being.

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Publication Details

Journal
Dialogues in Health
Published
2025-12-21
DOI
https://doi.org/10.1016/j.dialog.2025.100267
Primary Topic
Healthcare professionals’ stress and burnout
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting nurse burnout: A logistic regression approach to workplace and demographic factors

Edona Haxhija, Zamira Shabani, Drita Kruja
Dialogues in Health
Healthcare professionals’ stress and burnout
article

Predicting nurse burnout: A logistic regression approach to workplace and demographic factors

Edona Haxhija, Zamira Shabani, Drita Kruja
article en

Abstract

Burnout is more prevalent among rural nurses and, to a lesser extent, among female nurses, suggesting the need for context-sensitive and inclusive interventions. Burnout stems from systemic challenges such as excessive workload, insufficient managerial support, and role misalignment. Addressing these issues requires organizational changes including staffing improvements, supportive leadership, and professional development. Future research should apply standardized burnout measures and longitudinal approaches to better understand nurse well-being.

Dialogues in HealthVol. 8
European University of Tirana (AL), AAB College (XK), University of Shkodra "Luigj Gurakuqi" (AL)
Gender equality
Openalex Percentile: Top 24%
Healthcare professionals’ stress and burnout
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