Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
School of Sociology and Political Science, Shanghai University, Shanghai, China.
Front Public Health. 2024 Jun 6;12:1393024. doi: 10.3389/fpubh.2024.1393024. eCollection 2024.
Nurse turnover has become a salient issue in healthcare system worldwide and seriously compromises patient outcomes. Social support is considered an effective contributor to alleviate nurse turnover intention (TI). However, the degree of correlation between social support and nurse TI remains elusive.
This study aims to evaluate the strength of the effectiveness of social support on TI among nurses as well as its potential moderators.
This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
To obtained qualified studies, two researchers searched Embase, PubMed, Web of science, CINAHL, CNKI, WanFang, and Chinese Medical Journal Full Text Database from inception to January 6, 2024. Meta-analysis, publication bias, and sensitivity analysis were carried out on the included studies using CMA 3.0 software, and the moderating effect was verified through meta-analysis of variance (ANOVA).
A total of 38 studies were obtained, involving 63,989 clinical nurses. The comprehensive effect size of the random effect model showed a significant medium negative correlation between social support and TI among nurses ( < 0.001). The sample size and TI measurement tools significantly moderated the correlation between social support and TI ( < 0.050). However, nurse department, gender, data collection time, and social support measurement tools did not moderate the correlation between the two variables.
Social support is negatively associated with TI in nurses. Nursing administrators and the medical community should fully recognize the importance of social support for nurses and take corresponding measures to enhance it, thereby reducing TI and ensuring the stability of the nursing team.
护士离职已成为全球医疗体系中的一个突出问题,严重影响患者的治疗效果。社会支持被认为是减轻护士离职意愿(TI)的有效因素。然而,社会支持与护士 TI 之间的相关性程度仍不清楚。
本研究旨在评估社会支持对护士 TI 的有效性程度及其潜在的调节因素。
本系统评价和荟萃分析遵循系统评价和荟萃分析的首选报告项目。
为了获得合格的研究,两名研究人员从成立到 2024 年 1 月 6 日,在 Embase、PubMed、Web of Science、CINAHL、CNKI、WanFang 和中国医学期刊全文数据库中进行了搜索。使用 CMA 3.0 软件对纳入的研究进行荟萃分析、发表偏倚和敏感性分析,并通过方差分析(ANOVA)进行调节效应验证。
共获得 38 项研究,涉及 63989 名临床护士。随机效应模型的综合效应大小显示,社会支持与护士 TI 之间存在显著的中等负相关(<0.001)。样本量和 TI 测量工具显著调节了社会支持与 TI 之间的相关性(<0.050)。然而,护士部门、性别、数据收集时间和社会支持测量工具并未调节这两个变量之间的相关性。
社会支持与护士 TI 呈负相关。护理管理人员和医学界应充分认识到社会支持对护士的重要性,并采取相应措施加以加强,从而降低 TI,确保护理团队的稳定性。