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基于正念的干预措施对护士职业倦怠、心理韧性和睡眠质量的有效性:一项随机对照试验的系统评价和荟萃分析

Effectiveness of mindfulness-based interventions on burnout, resilience and sleep quality among nurses: a systematic review and meta-analysis of randomized controlled trials.

作者信息

Dou Jin, Lian Yujia, Lin Lili, Asmuri Siti Noraini Binti, Wang Peixi, Rajen Durai Ruthpackiavathy A/P

机构信息

Department of Nursing, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia.

Department of Nursing, Medical College, Xuchang University, Xuchang, China.

出版信息

BMC Nurs. 2025 Jul 1;24(1):739. doi: 10.1186/s12912-025-03101-0.

DOI:10.1186/s12912-025-03101-0
PMID:40598019
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12210539/
Abstract

BACKGROUND

Due to the occupational characteristics of clinical work, nurses often face many challenges related to physical and psychological health. Mindfulness-based interventions are psychological intervention therapies based on mindfulness, which has been proven to effectively improve burnout, resilience and sleep quality among nurses. But there is not sufficient evidence to examine the effectiveness of mindfulness-based interventions on burnout, resilience and sleep quality among nurses.

OBJECTIVE

To evaluate the effectiveness of mindfulness-based interventions in reducing burnout, resilience and sleep quality among nurses and enhance the quality of nursing medical service.

METHODS

Seven electronic databases, including PubMed, EMBASE, Scopus, Web of Science, PsycINFO, CINAHL and Chinese National Knowledge Infrastructure were searched from their inception to November, 2024. Randomized controlled trials investigated the effects of mindfulness-based interventions for improving burnout, resilience and sleep quality among nurses. The quality of the included studies was assessed by the Cochrane Risk of Bias Tool v2. Meta-analyses were conducted using Review Manager 5.4 and the Grading of Recommendations, Assessment, Development, and Evaluation approach was used to assess the certainty of evidence.

RESULTS

A total of 4622 studies were initially retrieved and 16 articles (n = 1384 individuals) were included. The meta-analysis showed that mindfulness-based interventions could effectively improve burnout (SMD = -1.43, 95% CI: -1.94 to - 0.92, P < 0.001), resilience (MD = 9.78, 95% CI: 0.38 to 19.17, P = 0.04) and sleep quality (SMD = -1.1, 95% CI: -1.79 to -0.41, P = 0.002). However, due to some moderate risk of bias and high level of heterogeneity, the overall quality of the evidence was not high.

CONCLUSION

Mindfulness-based interventions could improve burnout, resilience and sleep quality among nurses. This suggests that mindfulness-based interventions can provide preliminary clinical practice support for addressing mental health and well-being and work quality of nurses. But because of moderate to low certainty of evidence and some concerns of bias, more rigorous studies are needed to confirm the effectiveness of mindfulness-based interventions for improving the outcomes.

摘要

背景

由于临床工作的职业特点,护士经常面临许多与身心健康相关的挑战。基于正念的干预是一种基于正念的心理干预疗法,已被证明能有效改善护士的职业倦怠、心理弹性和睡眠质量。但目前尚无足够证据检验基于正念的干预对护士职业倦怠、心理弹性和睡眠质量的有效性。

目的

评估基于正念的干预对降低护士职业倦怠、提高心理弹性和改善睡眠质量的有效性,并提升护理医疗服务质量。

方法

检索了7个电子数据库,包括PubMed、EMBASE、Scopus、Web of Science、PsycINFO、CINAHL和中国知网,检索时间从各数据库建库至2024年11月。纳入探讨基于正念的干预对改善护士职业倦怠、心理弹性和睡眠质量效果的随机对照试验。采用Cochrane偏倚风险工具v2评估纳入研究的质量。使用Review Manager 5.4进行荟萃分析,并采用推荐分级、评估、制定与评价方法评估证据的确定性。

结果

初步检索到4622项研究,最终纳入16篇文章(n = 1384人)。荟萃分析表明,基于正念的干预可有效改善职业倦怠(标准化均数差 = -1.43,95%可信区间:-1.94至-0.92,P < 0.001)、心理弹性(均数差 = 9.78,95%可信区间:0.38至19.17,P = 0.04)和睡眠质量(标准化均数差 = -1.1,95%可信区间:-1.79至-0.41,P = 0.002)。然而,由于存在一些中度偏倚风险和高度异质性,证据的总体质量不高。

结论

基于正念的干预可改善护士的职业倦怠、心理弹性和睡眠质量。这表明基于正念的干预可为解决护士的心理健康、幸福感和工作质量问题提供初步的临床实践支持。但由于证据的确定性为中度至低度,且存在一些偏倚问题,需要更严谨的研究来证实基于正念的干预对改善这些结果的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3209/12210539/a77cdae6fc02/12912_2025_3101_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3209/12210539/6a222308e04d/12912_2025_3101_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3209/12210539/2fc2f0cb5570/12912_2025_3101_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3209/12210539/a77cdae6fc02/12912_2025_3101_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3209/12210539/6a222308e04d/12912_2025_3101_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3209/12210539/2fc2f0cb5570/12912_2025_3101_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3209/12210539/a77cdae6fc02/12912_2025_3101_Fig3_HTML.jpg

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