College of Nursing, Kanto Gakuin University, Yokohama, Japan.
Graduate School of Health Management, Keio University, Fujisawa, Kanagawa, Japan.
J Adv Nurs. 2019 Oct;75(10):2122-2132. doi: 10.1111/jan.13991. Epub 2019 Jun 17.
To clarify the subgroups of overtime work motivations and to determine how fatigue, mental status, and work engagement differ among the subgroups.
Cross-sectional.
Questionnaires were distributed to 1,075 full-time nurses working in four hospitals in Japan from October 2015 - February 2016. Nurses were categorized into subgroups of overtime work motivation by latent class analysis. An analysis of covariance was conducted to examine how fatigue, mental status, and work engagement differ among subgroups.
RESULTS/FINDINGS: We identified five types of overtime workers differing greatly in fatigue, mental status, and work engagement.
Even when nurses worked approximately the same work hours, the difference in motivation corresponded to different degrees of fatigue, mental status, and work engagement. When introducing policies to reduce overtime work, managers should consider the different groups of overtime workers, as effective measures may differ.
阐明加班动机亚组,并确定疲劳、心理状态和工作投入在亚组之间的差异。
横断面研究。
2015 年 10 月至 2016 年 2 月,对日本四家医院的 1075 名全职护士进行问卷调查。通过潜在类别分析将护士分为加班动机亚组。采用协方差分析比较亚组之间的疲劳、心理状态和工作投入的差异。
结果/发现:我们确定了五种在疲劳、心理状态和工作投入方面差异很大的加班类型。
即使护士的工作时间大致相同,动机的差异也对应着不同程度的疲劳、心理状态和工作投入。在引入减少加班工作的政策时,管理人员应考虑不同的加班人群,因为有效的措施可能会有所不同。