Zhai Jiao, Gong Shuangying, Chen Feng, Zheng Ping, Liu Wanlin, Dai Xiaoxia, Xie Caixia
Department of Pediatric Surgery, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
BMC Nurs. 2025 Mar 24;24(1):310. doi: 10.1186/s12912-025-02931-2.
Occupational fatigue in operating room nurses may influence their attentional control. However, few previous studies have explored the correlation between occupational fatigue and attentional control in operating room nurses. To better understand operating room nurses' occupational fatigue and its relationship with attentional control, this study aimed to identify the latent profiles and their factors that influence operating room nurses' occupational fatigue as well as differences in attentional control across each latent profile.
A cross-sectional study was conducted from May 2024 to July 2024, and a total of 386 operating room nurses were recruited from 6 hospitals in Chengdu. The participants completed the Occupational Fatigue Scale and the Attentional Control Scale. Latent profile analysis (LPA) was employed to identify latent profiles of occupational fatigue among operating room nurses. The predictors of occupational fatigue in different latent profiles were assessed via multinomial logistic regression analysis. One-way ANOVA and the Kruskal-Wallis test were used to compare the scores on the attentional control scale for each latent profile of nurses' occupational fatigue.
This study identified three latent profiles of operating room nurses'. occupational fatigue: the "low-fatigue/high-recovery group" (n = 80, 21.2%), the "high-fatigue/low-recovery group" (n = 113,29.3%) and the "moderate-fatigue/mod-erate-recovery group" (n = 193, 49.4%). The results of the multinomial logistic regression analysis suggested that age, work experience, educational level and monthly income were predictors of operating room nurses' occupational fatigue. There were significant differences in attentional control among the different pr-ofiles of occupational fatigue (P < 0.001). The scores for attentional focus were. Significantly different across each profile (P < 0.001), whereas the scores for at-tentional shift were not different across profiles (P = 0.342).
Operating room nurses' occupational fatigue can be divided into three latent profiles. Reducing chronic and acute fatigue while enhancing intershift recovery can improve nurses' attentional control and improve the overall service quality of the hospital. Nursing managers should identify operating room nurses who are at risk and implement targeted interventions to reduce occupational fatigue.
This study does not involve clinical trials or interventional procedures and therefore does not meet the criteria for clinical trial registration.
手术室护士的职业疲劳可能会影响其注意力控制。然而,以往很少有研究探讨手术室护士职业疲劳与注意力控制之间的相关性。为了更好地了解手术室护士的职业疲劳及其与注意力控制的关系,本研究旨在确定影响手术室护士职业疲劳的潜在类型及其因素,以及各潜在类型之间注意力控制的差异。
于2024年5月至2024年7月进行了一项横断面研究,从成都6家医院招募了386名手术室护士。参与者完成了职业疲劳量表和注意力控制量表。采用潜在类别分析(LPA)来确定手术室护士职业疲劳的潜在类型。通过多项逻辑回归分析评估不同潜在类型中职业疲劳的预测因素。采用单因素方差分析和Kruskal-Wallis检验比较护士职业疲劳各潜在类型在注意力控制量表上的得分。
本研究确定了手术室护士职业疲劳的三种潜在类型:“低疲劳/高恢复组”(n = 80,21.2%)、“高疲劳/低恢复组”(n = 113,29.3%)和“中度疲劳/中度恢复组”(n = 193,49.4%)。多项逻辑回归分析结果表明,年龄、工作经验、教育水平和月收入是手术室护士职业疲劳的预测因素。不同职业疲劳类型之间的注意力控制存在显著差异(P < 0.001)。注意力集中得分在各类型之间存在显著差异(P < 0.001),而注意力转移得分在各类型之间无差异(P = 0.342)。
手术室护士的职业疲劳可分为三种潜在类型。减少慢性和急性疲劳,同时增强轮班间恢复,可改善护士的注意力控制,提高医院的整体服务质量。护理管理者应识别有风险的手术室护士,并实施针对性干预措施以减少职业疲劳。
本研究不涉及临床试验或干预程序,因此不符合临床试验注册标准。