García-Muñoz Cristina, Cortés-Vega María-Dolores, Martínez-Miranda Patricia
Departamento de Ciencias de la Salud y Biomédicas, Faculta de Ciencias de la Salud, Universidad Loyola Andalucía, 41704 Seville, Spain.
CTS 1110: Understanding Movement and Self in Health from Science (UMSS) Research Group, 41009 Andalusia, Spain.
Healthcare (Basel). 2025 Jul 16;13(14):1708. doi: 10.3390/healthcare13141708.
: Virtual reality has emerged as a promising intervention for pain management in individuals with cancer. Although its clinical effects have been explored, little is known about participant adherence and dropout behavior. This systematic review and meta-analysis aimed to estimate the pooled dropout rate in randomized controlled trials using virtual reality to treat cancer pain; assess whether dropout differs between groups; and explore potential predictors of attrition. : We conducted a systematic search of PubMed, Web of Science, Scopus, and CINAHL up to April 2025. Eligible studies were randomized trials involving cancer patients or survivors that compared VR interventions for pain management with any non-VR control. Proportion meta-analyses and odds ratio meta-analyses were performed. Heterogeneity was assessed using the I statistic, and meta-regression was conducted to explore potential predictors of dropout. The JBI appraisal tool was used to assess the methodological quality and GRADE system to determine the certainty of evidence. : Six randomized controlled trials were included (n = 569). The pooled dropout rate was 16% (95% CI: 8.2-28.7%). Dropout was slightly lower in VR groups (12.7%) than in controls (21.4%), but the difference was not statistically significant (OR = 0.94; 95% CI: 0.51-1.72; I = 9%; GRADE: very low). No significant predictors of dropout were identified. : VR interventions appear to have acceptable retention rates in oncology settings. The pooled dropout estimate may serve as a reference for sample size calculations. Future trials should improve reporting practices and investigate how VR modality and patient characteristics influence adherence.
虚拟现实已成为一种很有前景的癌症患者疼痛管理干预手段。尽管其临床效果已得到探索,但对于参与者的依从性和退出行为知之甚少。本系统评价和荟萃分析旨在估计使用虚拟现实治疗癌症疼痛的随机对照试验中的合并退出率;评估各组之间的退出率是否存在差异;并探索可能导致退出的预测因素。
我们对截至2025年4月的PubMed、科学网、Scopus和CINAHL进行了系统检索。符合条件的研究为涉及癌症患者或幸存者的随机试验,这些试验比较了用于疼痛管理的虚拟现实干预与任何非虚拟现实对照。进行了比例荟萃分析和比值比荟萃分析。使用I统计量评估异质性,并进行荟萃回归以探索退出的潜在预测因素。使用JBI评估工具评估方法学质量,并使用GRADE系统确定证据的确定性。
纳入了六项随机对照试验(n = 569)。合并退出率为16%(95%CI:8.2 - 28.7%)。虚拟现实组的退出率(12.7%)略低于对照组(21.4%),但差异无统计学意义(OR = 0.94;95%CI:0.51 - 1.72;I² = 9%;GRADE:极低)。未发现显著的退出预测因素。
在肿瘤学环境中,虚拟现实干预似乎具有可接受的保留率。合并退出率估计值可为样本量计算提供参考。未来的试验应改进报告方法,并研究虚拟现实模式和患者特征如何影响依从性。