The impact of digital healthcare systems on pain and body function in patients with knee joint pain: a systematic review and meta-analysis

Author:

Guo Longfei,Li Shuoqi,Xie Shihao,Bian Lin,Shaharudin Shazlin

Abstract

AbstractThe digital healthcare (DH) system has recently emerged as an advanced rehabilitation approach that promotes rehabilitation training based on virtual reality (VR) and augmented reality (AR). The purpose of this meta-analysis study is to review and assess the impact of DH systems on pain and physical function among patients diagnosed with knee joint pain. Between January 2003 and September 2023, studies that met the listed inclusion criteria were gathered from Scopus, PubMed, Web of Science, and EBSCO databases. The analysis of standardized mean difference (SMD) was carried out with 95% confidence interval (95% CI) (PROSPERO registration number: CRD42023462538). Nine research papers were selected, which collectively involved 194 males and 279 females. The meta-analysis outcomes revealed that DH intervention significantly improved balance (SMD, 0.41 [0.12, 0.69], p < 0.05) and pain level (SMD, − 1.10 [− 2.02, − 0.18], p < 0.05). The subgroup analysis of the pain level showed varied outcomes for the TKA (SMD, − 0.22 [− 0.49, 0.04], p = 0.10) or OA patients (SMD, − 2.80 [− 3.83, − 1.78], p < 0.05) Next, this study found no significant effect of DH intervention on knee joint range of motion (ROM) (SMD, 0.00 [− 0.76, 0.76], p = 1.00) and walking velocity (SMD, 0.04 [− 0.22, 0.29], p = 0.77) in patients with knee joint pain. The meta-analysis review conducted in this study revealed that DH intervention may potentially improve balance among the patients with knee joint pain. It may also alleviate the pain level particularly among OA patients.

Publisher

Springer Science and Business Media LLC

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3