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Suhyun Jang,1,* Boram Lee,2,* Eunji Lee,1 Jungbin Kim,1 Jong In Lee,3 Jae-Young Lim,4,5 Ji Hye Hwang,6 Sunmee Jang1 1College of Pharmacy and Gachon Institute of Pharmaceutical Sciences, Gachon University, Incheon, Republic of Korea; 2Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea; 3Department of Rehabilitation Medicine, Seoul St. Maryâs Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea; 4Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea; 5Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; 6Department of Physical and Rehabilitation Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea*These authors contributed equally to this workCorrespondence: Sunmee Jang, College of Pharmacy and Gachon Institute of Pharmaceutical Sciences, Gachon University, 191 HambakmoeâRo, YeonsuâGu, Incheon, 21936, Republic of Korea, Tel +82 32 820 4941, Email smjang@gachon.ac.kr Ji Hye Hwang, Department of Physical and Rehabilitation Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, #81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea, Tel +82 10 9933 2816, Email hwanglee@skku.eduAbstract: Rehabilitation using digital healthcare (DHC) has the potential to enhance the effectiveness of treatment for musculoskeletal disorders (MSDs) and associated pain by improving patient outcomes, while being cost-effective, safe, and measurable. This systematic review and meta-analysis aimed to evaluate the effectiveness of musculoskeletal rehabilitation using DHC. We searched PubMed, Ovid-Embase, Cochrane Library, and PEDro Physiotherapy Evidence Database from inception to October 28, 2022 for controlled clinical trials comparing DHC to conventional rehabilitation. We used a random-effects model for the meta-analysis, pooling the effects of DHC on pain and quality of life (QoL) by calculating standardized mean differences (SMDs) with 95% confidence intervals (CIs) between DHC rehabilitation and conventional rehabilitation (control). Fifty-four studies with 6240 participants met the inclusion criteria. The sample size ranged from 26 to 461, and the average age of the participants ranged from 21.9 to 71.8 years. The majority of the included studies focused on knee or hip joint MSD (n = 23), and the most frequently utilized DHC interventions were mobile applications (n = 26) and virtual or augmented reality (n = 16). Our meta-analysis of pain (n = 45) revealed that pain reduction was greater in DHC rehabilitation than in conventional rehabilitation (SMD: â 0.55, 95% CI: â 0.74, â 0.36), indicating that rehabilitation using DHC has the potential to ameliorate MSD pain. Furthermore, DHC significantly improved health-related QoL and disease-specific QoL (SMD: 0.66, 95% CI: 0.29, 1.03; SMD: â 0.44, 95% CI: â 0.87, â 0.01) compared to conventional rehabilitation. Our findings suggest that DHC offers a practical and flexible rehabilitation alternative for both patients with MSD and healthcare professionals. Nevertheless, further researches are needed to elucidate the underlying mechanisms by which DHC affects patient-reported outcomes, which may vary depending on the type and design of the DHC intervention.Keywords: musculoskeletal disorder, rehabilitation, digital healthcare, pain, quality of life, patient-reported outcomes |
