虚拟现实技术对老年慢性病患者焦虑和抑郁的影响:随机对照试验的系统回顾和荟萃分析

IF 3.4 2区 医学 Q1 NURSING
Worldviews on Evidence-Based Nursing Pub Date : 2025-02-01 Epub Date: 2024-12-19 DOI:10.1111/wvn.12763
Jing Yang, Yue Li, Di Gao, Xuemei Xie, Wenting Ji, Jing Gao
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引用次数: 0

摘要

背景:以往的研究已经证明了虚拟现实(VR)技术在许多应用领域的有效性。然而,关于它对患有慢性疾病的老年人的抑郁和焦虑的影响,文献中存在明显的差距。目的:本综述旨在评估虚拟现实干预对老年慢性病患者抑郁和焦虑的有效性。方法:系统检索自建库至2024年4月9日的7个电子数据库。两名研究人员使用RoB(2.0版)评估方法学质量,并使用RevMan(5.4版)和Stata(16.0版)软件进行meta分析。结果:本综述纳入19项随机对照研究。荟萃分析显示,VR显著改善抑郁症(标准平均差[SMD] = -0.67, 95%可信区间[CI] [-0.90, -0.45], p)。证据与行动相联系:本系统综述的结果为制定改善老年慢性病患者心理健康的干预措施提供了重要证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of virtual reality technology on anxiety and depression in older adults with chronic diseases: A systematic review and meta-analysis of randomized controlled trials.

Background: Previous research has demonstrated the effectiveness of virtual reality (VR) technology in many application areas. However, there is a clear gap in the literature regarding its effects on depression and anxiety in older adults with chronic diseases.

Aims: This review aimed to assess the effectiveness of VR interventions for depression and anxiety in older adults with chronic diseases.

Methods: Seven electronic databases were systematically searched from their inception to April 9, 2024. Two researchers evaluated methodological quality using RoB (version 2.0) and performed meta-analyses using RevMan (version 5.4) and Stata (version 16.0) software.

Results: This review included 19 randomized controlled studies. Meta-analysis revealed that VR significantly improved depression (standard mean difference [SMD] = -0.67, 95% confidence interval [CI] [-0.90, -0.45], p < .00001) and anxiety (SMD = -0.76, 95% CI [-0.95, -0.57], p < .00001) in older adults with chronic diseases, improved their quality of life (SMD = 0.39, 95% CI [0.17, 0.61], p = .0006) and positive emotions (SMD = 5.65, 95% CI [3.61, 7.69], p < .00001), and relieved stress (SMD = -1.08, 95% CI [-1.52, -0.64], p < .00001). However, the difference in self-efficacy was statistically non-significant (SMD = 1.01, 95% CI [-0.48, 2.50], p = .19).

Linking evidence to action: The results of this systematic review provide important evidence for developing interventions to improve the mental health of older adults with chronic diseases.

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来源期刊
CiteScore
6.10
自引率
11.60%
发文量
72
审稿时长
>12 weeks
期刊介绍: The leading nursing society that has brought you the Journal of Nursing Scholarship is pleased to bring you Worldviews on Evidence-Based Nursing. Now publishing 6 issues per year, this peer-reviewed journal and top information resource from The Honor Society of Nursing, Sigma Theta Tau International, uniquely bridges knowledge and application, taking a global approach in its presentation of research, policy and practice, education and management, and its link to action in real world settings. Worldviews on Evidence-Based Nursing is written especially for: Clinicians Researchers Nurse leaders Managers Administrators Educators Policymakers Worldviews on Evidence­-Based Nursing is a primary source of information for using evidence-based nursing practice to improve patient care by featuring: Knowledge synthesis articles with best practice applications and recommendations for linking evidence to action in real world practice, administra-tive, education and policy settings Original articles and features that present large-scale studies, which challenge and develop the knowledge base about evidence-based practice in nursing and healthcare Special features and columns with information geared to readers’ diverse roles: clinical practice, education, research, policy and administration/leadership Commentaries about current evidence-based practice issues and developments A forum that encourages readers to engage in an ongoing dialogue on critical issues and questions in evidence-based nursing Reviews of the latest publications and resources on evidence-based nursing and healthcare News about professional organizations, conferences and other activities around the world related to evidence-based nursing Links to other global evidence-based nursing resources and organizations.
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