Nam Song Yi, Lee Haeyoung, Ryu Eunjung, Hong Hye Chong, Kang Minkyung, Min Ari
Samsung Medical Center, Seoul, South Korea.
Department of Nursing, The Graduate School Chung-Ang University, Seoul, South Korea.
J Adv Nurs. 2024 Sep 22. doi: 10.1111/jan.16486.
AIM(S): To investigate job characteristic profiles based on the job demands-resources (JD-R) model and the association between job characteristic profiles and presenteeism.
Cross-sectional study.
Data were collected from shift nurses in South Korea in January 2023 using an online survey. This study included 544 nurses working in tertiary and general hospitals in South Korea. The participants were classified into four job characteristic profiles based on the JD-R model using latent profile analysis. Multiple logistic and linear regression analyses were performed to examine the association between job characteristic profiles and presenteeism.
Four profiles were derived from the latent profile analysis: low strain-low motivation, high strain-low motivation, low strain-high motivation and high strain-high motivation. The high strain-low motivation, low strain-high motivation and high strain-high motivation groups were 1.74, 1.37 and 3.51 times more likely to experience presenteeism than the low strain-low motivation group respectively. The number of days worked while sick and the level of reduced job productivity was also the highest in the high strain-high motivation group. In addition, general health, multimorbidities and insomnia were significant factors affecting presenteeism, number of days worked while sick and productivity loss among shift nurses.
This study found that even with higher levels of job resources, work environments with high levels of job demands were associated with higher rates of presenteeism.
Study findings suggest that various strategies are needed to improve the physical and mental health of shift nurses, and create a healthy organisational environment by reducing excessive job demands to reduce presenteeism and increase productivity.
STROBE guidelines.
No patient or public contribution.
基于工作需求-资源(JD-R)模型调查工作特征概况,以及工作特征概况与出勤主义之间的关联。
横断面研究。
2023年1月通过在线调查收集韩国轮班护士的数据。本研究纳入了韩国三级医院和综合医院的544名护士。使用潜在剖面分析根据JD-R模型将参与者分为四种工作特征概况。进行多元逻辑回归和线性回归分析,以检验工作特征概况与出勤主义之间的关联。
潜在剖面分析得出四种概况:低压力-低动机、高压力-低动机、低压力-高动机和高压力-高动机。高压力-低动机组、低压力-高动机组和高压力-高动机组出现出勤主义的可能性分别是低压力-低动机组的1.74倍、1.37倍和3.51倍。高压力-高动机组病假期间的工作天数和工作效率降低程度也最高。此外,总体健康状况、多种疾病和失眠是影响轮班护士出勤主义、病假天数和生产力损失的重要因素。
本研究发现,即使工作资源水平较高,高工作需求的工作环境与更高的出勤主义发生率相关。
研究结果表明,需要采取各种策略来改善轮班护士的身心健康,并通过减少过高的工作需求来营造健康的组织环境,以减少出勤主义并提高生产力。
STROBE指南。
无患者或公众贡献。