ปัจจัยที่สัมพันธ์กับความทนต่อการทำงานเป็นกะของพยาบาลวิชาชีพ ผู้ช่วยพยาบาลและพนักงานให้การดูแลในโรงพยาบาลสมเด็จพระยุพราชเดชอุดม

Pantat Plikomol; Pornchai Sithisarankul

Authors

Pantat Plikomol Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University
Pornchai Sithisarankul Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University

Keywords:

shiftwork, shift work tolerance, nurse

Abstract

Objective: This study aimed to investigate shift work tolerance and associated factors among registered nurses, practical nurses and nursing assistants at Det Udom Crown Prince Hospital. Methods: This study is a cross-sectional descriptive study. Data were collected between April and May 2025, involving 302 participants. The data collection instruments included a set of self-report questionnaires: potential associated factors, the Thai version of Athens Insomnia Scale, the Thai version of Hospital Anxiety and Depression Scale, the Thai version of Piper fatigue scales-revised and the Thai version of EQ-5D-5L. Data analysis included descriptive and inferential statistics. Bivariate analysis and multivariable logistic regression were performed. Results: This shift work tolerance study was assessed using composite Z-score method, calculated by summing Z-score from each questionnaire measuring problems and abnormalities related to shift work tolerance. The findings revealed that 53.0% of the participants had high shift work tolerance. The factors significantly associated with high shift work tolerance included: not having children (AOR = 1.68; 95% CI: 1.02-2.79), financially stable status (AOR = 3.96; 95% CI: 2.16-7.27), financially surplus status (AOR = 3.00; 95% CI: 1.38-6.54), never or rarely taking naps during shifts (AOR = 2.09; 95% CI: 1.26-3.47), never or rarely using sleep-affecting medication (AOR = 2.71; 95% CI: 1.37-5.34), and not having conflicts with colleagues (AOR = 4.92; 95% CI: 1.62-14.96). Conclusion: This study identified the factors significantly associated with shift work tolerance, included: having children, financial status, taking naps during shifts, a history of using sleep-affecting medications, and conflicts with colleagues. The findings may be applied to promote health, manage human resources and prevent the health impact of shift work in the future.

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