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Li C, Zhu C, Song K, Xiang X, Wang X, Hu J, Li Z, Deng Y, Jiang D, Guo L, Ren T, Zhu L, Ai H, Zhang S, Liu Z, Yang Y, Zhu S, He C. An evidence-based tailored eHealth patient education tool for patients with knee osteoarthritis: A randomized controlled trial. Digit Health 2025; 11:20552076251317230. [PMID: 39917416 PMCID: PMC11800247 DOI: 10.1177/20552076251317230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2024] [Accepted: 01/13/2025] [Indexed: 02/09/2025] Open
Abstract
Background An evidence-based eHealth education tool was developed for patients with knee osteoarthritis (KOA). This study aimed to evaluate the long-term effectiveness on patient knowledge level and analyzed the patient's satisfaction with the proposed tool. Methods A two-arm randomized controlled trial was performed, with 218 KOA patients allocated 1:1 to two groups by balanced block randomization. Both groups received usual care and additionally, the eHealth group used the proposed eHealth tool during the process. The primary outcome measure was the validated osteoarthritis patient knowledge questionnaire (PKQ-OA). The secondary outcome was patients' satisfaction with the eHealth tool. Measurements were taken at baseline, post-intervention (T1), 1-month (T2), 3-month (T3), and 6-month (T4) follow-up. Statistical analyses, including ANOVA and chi-square tests, were employed to compare outcomes between the groups. Results The results of the PKQ-OA indicated that patients in the eHealth group (38.7% ± 25%, 95% confidence interval (CI), 33.9%-43.4%) performed significantly better than the usual care group (28.8% ± 21.1%, 95% CI, 24.9%-32.9%) in terms of correct responses to the knowledge assessment in T1(P = 0.001). In addition, a higher percentage of patients in the eHealth group (39.4%) achieved a score of at least 50% on the knowledge assessment compared to the usual care group (14.6%). Patients who received eHealth education perceived it as a valuable tool for education. The analysis of follow-up data showed that the knowledge level of the eHealth group was higher than that of the control group at 6 months (F = 0.727, P = 0.471), but there was no significant difference. Conclusion Patients educated using an evidence-based eHealth education tool showed significant improvements in knowledge and were more likely to achieve an adequately informed status. The evidence-based eHealth tool could offer a low-cost, effective educational device.
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Affiliation(s)
- Chong Li
- Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Chuanmei Zhu
- Outpatient Department, West China Hospital, Sichuan University, Chengdu, China
| | - Kangping Song
- Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaona Xiang
- Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoyi Wang
- Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Hu
- Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Zhao Li
- Department of Rehabilitation Medicine, Deyang Clinical Research Center for Rehabilitation Medicine, Mianzhu People's Hospital, Mianzhu, Sichuan, China
| | - Yi Deng
- The First People's Hospital of Longquanyi District Chengdu, Chengdu, China
| | - Daoxin Jiang
- The First People's Hospital of Longquanyi District Chengdu, Chengdu, China
| | - Lixin Guo
- The Second Hospital of Jilin University, Changchu, China
| | - Ting Ren
- Second Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Luwen Zhu
- Second Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Haibo Ai
- The Third Hospital of Mianyang, Mianyang, China
| | - Shaojun Zhang
- Department of Rehabilitation Medicine, Deyang Clinical Research Center for Rehabilitation Medicine, Mianzhu People's Hospital, Mianzhu, Sichuan, China
| | - Zhongliang Liu
- The Second Hospital of Jilin University, Changchu, China
| | - Yonghong Yang
- Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Siyi Zhu
- Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Chengqi He
- Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
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Gupta L, Najm A, Kabir K, De Cock D. Digital health in musculoskeletal care: where are we heading? BMC Musculoskelet Disord 2023; 24:192. [PMID: 36918856 PMCID: PMC10012296 DOI: 10.1186/s12891-023-06309-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 03/10/2023] [Indexed: 03/16/2023] Open
Abstract
BMC Musculoskeletal Disorders launched a Collection on digital health to get a sense of where the wind is blowing, and what impact these technologies are and will have on musculoskeletal medicine. This editorial summarizes findings and focuses on some key topics, which are valuable as digital health establishes itself in patient care. Elements discussed are digital tools for the diagnosis, prognosis and evaluation of rheumatic and musculoskeletal diseases, coupled together with advances in methodologies to analyse health records and imaging. Moreover, the acceptability and validity of these digital advances is discussed. In sum, this editorial and the papers presented in this article collection on Digital health in musculoskeletal care will give the interested reader both a glance towards which future we are heading, and which new challenges these advances bring.
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Affiliation(s)
- Latika Gupta
- Department of Rheumatology, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, UK.,City Hospital, Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK.,Division of Musculoskeletal and Dermatological Sciences, Centre for Musculoskeletal Research, School of Biological Sciences, The University of Manchester, Manchester, UK
| | - Aurélie Najm
- Institute of Infection, Immunity and Inflammation, College of Medical Veterinary and Life Sciences, University of Glasgow, Sir Graeme Davies Building Level 4, Glasgow, UK.,NHS Royal Alexandra Hospital, Glasgow, UK
| | - Koroush Kabir
- Department of Orthopaedics and Trauma Surgery, University Hospital Bonn, Bonn, Germany
| | - Diederik De Cock
- Biostatistics and Medical Informatics Research Group, Department of Public Health, Vrije Universiteit Brussel, Brussels, Belgium.
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