远程康复
医学
物理疗法
荟萃分析
置信区间
运动范围
康复
梅德林
随机对照试验
科克伦图书馆
严格标准化平均差
心理干预
生活质量(医疗保健)
物理医学与康复
远程医疗
医疗保健
内科学
政治学
经济
精神科
法学
经济增长
护理部
作者
Qingling Wang,Regina Lee,Sharyn Hunter,Sally Wai‐Chi Chan
标识
DOI:10.1177/1357633x20980291
摘要
Introduction The aim of this review was to systematically evaluate the available evidence on the effectiveness of internet-based telerehabilitation among patients after total joint arthroplasty regarding pain, range of motion, physical function, health-related quality of life, satisfaction, and psychological well-being. Methods This was a systematic review with meta-analysis based on the Cochrane Handbook for Systematic Reviews of Interventions guidelines. Studies published in English or Chinese were searched using defined search periods, databases, and search terms. Two reviewers assessed independently the quality of studies. RevMan 5.3 was used for meta-analysis. Heterogeneity was assessed using the χ 2 and I 2 statistic. A random effect model and mean difference (MD) with 95% confidence interval (CI) was adopted. Standardised mean difference (SMD) was used if the outcome was measured by different scales. Results Eleven studies with 1020 participants were analysed. Compared to face-to-face rehabilitation, internet-based telerehabilitation showed no significant difference in outcomes of pain (SMD–0.11, 95% CI–0.32 to 0.10), range of motion in flexion (MD 0.65, 95% CI–1.18 to 2.48) and extension (MD–0.38, 95% CI–1.16 to 0.40), patient-reported physical function (SMD 0.01, 95% CI–0.15 to 0.17), health-related quality of life (SMD–0.09, 95% CI–0.26 to 0.07), satisfaction (SMD–0.04, 95% CI–0.21 to 0.14), and psychological well-being (SMD 0.10, 95% CI–0.13 to 0.33). Internet-based telerehabilitation showed better outcomes in physical functional tests (SMD–0.54, 95% CI–1.08 to–0.01). Discussion This review suggests that internet-based telerehabilitation has comparable effectiveness to face-to-face rehabilitation on rehabilitation outcomes among patients after total joint arthroplasty.
科研通智能强力驱动
Strongly Powered by AbleSci AI