Red Cross University College of Nursing, Spanish Red Cross, Autonomous University of Madrid, Madrid, Spain.
PhD student in Biomechanics and Bioengineering Applied to Health, Doctoral School, University of Alcalá, Madrid, Spain.
PLoS One. 2022 Dec 28;17(12):e0275740. doi: 10.1371/journal.pone.0275740. eCollection 2022.
To assess the effects of virtual reality (VR) on the depressive state of patients with stroke admitted to neuro-rehabilitation units. Design: Systematic review and meta-analysis protocol.
Randomized Controlled Trials (RCTs) focusing on the effects of virtual reality on depressive state as a primary outcome will be included. Grey literature and the following databases will be consulted: PubMed, Cinahl, PsycInfo, Scopus, Embase, Cochrane Library and Web of Science. The recently revised Cochrane risk of bias tool will be used to assess the quality of included studies. Data will be extracted and meta-analyses will be performed within the specific condition of the emotional state of stroke patients admitted to neurorehabilitation units. Meta-regression and subgroup analyses will be used to identify effective modes and patterns of therapy delivery. The approach of assessment, development and evaluation of recommendations will be applied to reach a convincing conclusion.
An accurate, transparent and standardized review process is expected to provide recommendations on the use of VR technology in the healthcare of stroke patients.
Emotional difficulties are common after stroke and have an impact on rehabilitation outcome. VR seems to have an important role in the treatment and depression in neurological patients, as it is able to improve levels of well-being, coping strategies and social relationships. The systematic review may contribute to a more convincing and specific conclusion compared to existing studies of this type.
Systematic review registration: CRD42022303968.
评估虚拟现实（VR）对神经康复病房中风患者抑郁状态的影响。
系统评价和荟萃分析方案。
将纳入专注于 VR 对抑郁状态影响的随机对照试验（RCT）作为主要结局。将查阅灰色文献和以下数据库：PubMed、Cinahl、PsycInfo、Scopus、Embase、Cochrane 图书馆和 Web of Science。将使用最近修订的 Cochrane 偏倚风险工具评估纳入研究的质量。将在神经康复病房中风患者情绪状态的特定条件下提取数据并进行荟萃分析。将进行荟萃回归和亚组分析，以确定有效的治疗模式和方案。将采用评估、制定和评估建议的方法来得出令人信服的结论。
预计准确、透明和标准化的审查过程将为 VR 技术在中风患者医疗保健中的应用提供建议。
中风后情绪困难很常见，会影响康复效果。VR 似乎在神经科患者的治疗和抑郁中具有重要作用，因为它能够改善幸福感、应对策略和社会关系。与这类现有研究相比，系统评价可能有助于得出更令人信服和具体的结论。
系统评价注册：CRD42022303968。
