■本研究旨在通过以人为本的方法检查护士的心理工作量(MWL)的潜在特征,并探讨影响因素。
■自2023年3月至7月,对四川省5家三级医院的526名中国临床护士进行了定量横断面研究,中国,通过使用人口统计信息,感知社会支持量表,简化的应对技能问卷,和NASA-任务负荷指数。使用Mplus7.3软件进行潜在谱分析。采用SPSS24.0软件进行Pearson卡方和logistic回归分析。
根据护士对心理工作量评估的反应,确定了三种心理工作量概况,指定为“低MWL-高自定(n=70,13.3%)”,“中等MWL(n=273,51.9%)”,和“高MWL-低自定(n=183,34.8%)”。通过对这三种亚型的分析,工作年限<5年的护士(χ2=12.135,P<0.05),无儿童(χ2=16.182,P<0.01),月收入<6000(χ2=55.231,P<0.001),健康状况差(χ2=39.658,P<0.001),过去1年无心理训练(χ2=56.329,P<0.001)和遭受工作场所暴力(χ2=19.803,P<0.001)与MWL显著相关。此外,多因素logistic回归分析显示,消极应对方式(OR=1.146,95%CI:1.060~1.238,P=0.001)伴随着较高的MWL,而与领悟社会支持呈负相关(OR=0.927,95%CI:0.900~0.955,P<0.001)。
■我们的结果表明,护士的MWL可以分为三个亚型。月收入,健康状况,心理训练,职场暴力,消极应对方式,感知社会支持是MWL的影响因素。管理者可以根据不同亚组的个体特征采用个性化干预策略,以降低护士的MWL。
UNASSIGNED: This study aimed to examine the latent profile of nurses\' mental workload (MWL) and explore the influencing factors via a person-centred approach.
UNASSIGNED: From March to July 2023, a quantitative cross-sectional study was carried out to investigate 526 Chinese clinical nurses from five tertiary hospitals in Sichuan Province,
China, by using demographic information, the Perceived Social Support Scale, Simplified Coping Skill Questionnaire, and NASA-Task Load Index. Latent profile analyses were performed using Mplus 7.3 software. Pearson\'s chi-squared and logistic regression analysis was done using SPSS 24.0 software.
UNASSIGNED: Three profiles of mental workload were identified based on the nurses\' responses to the mental workload assessment, designated as \"low MWL-high self-rated (n = 70, 13.3%)\", \"moderate MWL (n = 273, 51.9%)\", and \"high MWL-low self-rated (n = 183, 34.8%)\". Based on the analysis of the three subtypes, nurses with working years < 5 years (χ 2 = 12.135, P < 0.05), no children (χ 2 = 16.182, P < 0.01), monthly income < 6000 (χ 2 = 55.231, P < 0.001), poor health status (χ 2 = 39.658, P < 0.001), no psychological training in the past year (χ2 = 56.329, P < 0.001) and suffering from workplace violence (χ 2 = 19.803, P < 0.001) were significantly associated with MWL. Moreover, the multivariate logistic regression analysis showed that negative coping styles (OR = 1.146, 95% CI: 1.060-1.238, P = 0.001) were accompanied by higher MWL while negatively associated with perceived social support (OR = 0.927, 95% CI: 0.900-0.955, P < 0.001).
UNASSIGNED: Our results showed that the MWL of nurses could be classified into three subtypes. Monthly income, health status, psychological training, workplace violence, negative coping style, and perceived social support were the factors influencing MWL. Managers can employ personalised intervention strategies according to the individual characteristics of different subgroups to reduce nurses\' MWL.