Yoon Sanghoo, Kim Young A
Division of Mathematics and Big Data Science, Daegu University, Gyeongsan, Republic of Korea.
College of Nursing, Jeju National University, Jeju, Republic of Korea.
Iran J Public Health. 2022 May;51(5):978-989. doi: 10.18502/ijph.v51i5.9413.
Nurses comprise the majority of the healthcare workforce, and their job satisfaction can have a substantial impact on patient health.
This study aimed to provide a comprehensive overview of studies that performed statistical analyses focused on the job satisfaction of nurses and relevant factors, as well as synthesizing existing data. Overall, 144 studies published between 1986 and 2018 were reviewed for qualitative synthesis.
The most frequently measured variable was job stress, followed by burnout and turnover intention. Overall, 53 studies published between 1994 and 2018 were reviewed for quantitative synthesis. In the meta-analysis, the weighted mean effect size using a random-effects model was moderate for all variables: -0.539, -0.484, and -0.395 for burnout, turnover intention, and job stress, respectively.
The results revealed a long history of variables related to job satisfaction among Korean nurses since data retrieval was not subject to any restrictions. These findings can be used as evidence for the formulation of policies to enhance the retention of nurses committed to their profession. Further, they can facilitate stable workforce management in healthcare.
护士占医疗保健劳动力的大多数，他们的工作满意度会对患者健康产生重大影响。
本研究旨在全面概述对护士工作满意度及相关因素进行统计分析的研究，并综合现有数据。总体而言，对1986年至2018年间发表的144项研究进行了定性综合审查。
最常测量的变量是工作压力，其次是职业倦怠和离职意愿。总体而言，对1994年至2018年间发表的53项研究进行了定量综合审查。在荟萃分析中，使用随机效应模型的加权平均效应大小对所有变量而言适中：职业倦怠、离职意愿和工作压力的效应大小分别为-0.539、-0.484和-0.395。
结果显示，由于数据检索不受任何限制，韩国护士中与工作满意度相关的变量有很长的研究历史。这些发现可作为制定政策以提高护士职业忠诚度的证据。此外，它们有助于医疗保健领域稳定的劳动力管理。
