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ORIGINAL RESEARCH article
Front. Public Health
Sec. Occupational Health and Safety
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1510147
This article is part of the Research Topic Patient and Medical Staff Safety and Healthy Work Environment in the 21st Century View all 30 articles
Construction and validation of a presenteeism prediction model for ICU nurses in China
Provisionally accepted
Jijun Wu 1
Yuxin Li 1
Xiaoli Liu 1 Yuting Fan 1 Ping Dai 1 Baixia Chen 1 Zhenfan Liu 1 Xian Rong 2*
Xiaoli Zhong 1*- 1 People’s Hospital of Deyang City, Deyang, China
- 2 Sichuan Nursing Vocational College, Chengdu, Sichuan Province, China
Objective: This study aimed to construct and validate a predictive model for presenteeism among ICU nurses. Design: A cross-sectional study. Methods: 1,225 ICU nurses were convened from January to April 2023 from 25 tertiary and secondary hospitals in Sichuan Province, China. ICU nurses were randomly divided into a development set (n=859) and a validation set (n=366) according to a 7:3 ratio. Univariate and multifactorial logistic regression analyses were used to determine the influencing factors for presenteeism, and R software was used to construct a column-line graph prediction model. The differentiation and calibration of the predictive model were evaluated by the area under the curve of subjects' work characteristics (ROC) and the Hosmer-Leme-show test, and the clinical decision curve evaluated the clinical validity of the predictive model.The presenteeism rate of ICU nurses in the development set was 76.8%. Multifactorial logistic regression analysis showed that independent factors affecting ICU nurses' presenteeism included income per month, physical health status, job satisfaction, perceived work stress, perceived social support, transformational leadership, and occupational coping self-efficacy. In the development set and validation set, the area under the ROC curve was 0.821 and 0.786, respectively; the sensitivity and specificity were 80.6%, 69.8% and 80.9%, 65.1%, respectively; the Hosmer-Lemeshow goodness-of-fit was χ2=8.076 (P=0.426) and χ2=5.134 (P=0.743), respectively, and the model had relatively good discrimination and consistency. The clinical decision curve showed that the model had good clinical validity.The predictive model of presenteeism risk for ICU nurses constructed in this study has good predictive ability. The model can effectively identify ICU nurses with high presenteeism and provide a reference basis for developing targeted interventions to reduce presenteeism among ICU nurses.
Keywords: ICU, Nurses, Presenteeism, Risk factors, column-line diagram, Risk prediction model
Received: 12 Oct 2024; Accepted: 17 Feb 2025.
Copyright: © 2025 Wu, Li, Liu, Fan, Dai, Chen, Liu, Rong and Zhong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xian Rong, Sichuan Nursing Vocational College, Chengdu, 610100, Sichuan Province, China
Xiaoli Zhong, People’s Hospital of Deyang City, Deyang, China
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