ArticleJMIR formative research2025
Effectiveness of WeChat-Based Plus Scene-Graphics Health Education for Rehabilitation After Open Elbow Arthrolysis: Historical Control Study.
Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Elbow stiffness often hinders daily tasks. Open elbow arthrolysis is effective but requires long-term postoperative rehabilitation. Traditional health education does not significantly improve patient cooperation or results. Handy and engaging tools such as WeChat and scene graphics may help. Objective: This study aims to assess the efficacy of WeChat-based health education combined with scene graphics following open elbow arthrolysis. Methods: This historical control study involved patients aged 18 years and older who underwent open elbow arthrolysis, had normal communication skills, and were proficient in using WeChat. Eligible patients were divided into 2 groups based on admission time: the control group (56 patients, enrolled from January to June 2021) and the WeChat group (56 patients, enrolled from July to December 2021). The control group had received traditional health education, whereas the WeChat group received health education using WeChat and scene graphics. Information in 4-part comics was shared through a WeChat public account. Patients accessed this account to receive daily lessons during hospitalization, followed by online instruction in a WeChat group after discharge until 12 weeks postoperatively. Outcome data were collected at 1, 6, and 12 weeks postoperatively. The primary outcome was elbow range of motion; secondary outcomes were elbow function, quality of life, and complication incidence. Results: The elbow flexion angle improved from 71.5° (SD 4.2°) to 124.2° (SD 11.7°) in the WeChat group and from 71.7° (SD 4.6°) to 114.4° (SD 13.6°) in the control group (difference 10.0°, 95% CI 4.9-15.1, P<.001). The mean elbow extension angle improved from 29.6° (SD 6.0°) to 6.4° (SD 2.5°) in the WeChat group and from 28.8° (SD 3.8°) to 10.1° (SD 3.4°) in the control group (difference -4.5°, 95% CI -6.5 to -2.5, P<.001). The mean forearm pronation angle improved from 31.9° (SD 4.0°) to 66.9° (SD 7.3°) in the WeChat group and from 33.0° (SD 4.2°) to 63.1° (SD 7.2°) in the control group (difference 4.9°, 95% CI 2.0-7.8, P=.001). The mean forearm supination angle improved from 30.2° (SD 3.7°) to 71.8° (SD 4.8°) in the WeChat group and from 30.4° (SD 4.1°) to 64.2° (SD 9.8°) in the control group (difference 7.7°, 95% CI 4.4-11.0, P<.001). The mean Mayo Elbow Performance Score increased from 58.0 (SD 3.7) to 80.4 (SD 5.7) in the WeChat group and from 58.9 (SD 2.8) to 75.8 (SD 6.9) in the control group (difference 5.5 points, 95% CI 2.8-8.2, P<.001). The mean 36-item Short Form Health Survey questionnaire score increased from 44.4 (SD 6.6) to 82.0 (SD 7.1) in the WeChat group and from 44.0 (SD 6.4) to 75.0 (SD 11.2) in the control group (difference 6.6 points, 95% CI 2.6-10.6, P=.002). Conclusions: WeChat-based health education combined with scene graphics was found to significantly improve elbow range of motion, elbow function, and quality of life.
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