The Effectiveness of Remote Exercise Rehabilitation Based on the "SCeiP" Model in Homebound Patients With Coronary Heart Disease: Randomized Controlled Trial.
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引用次数: 0
Abstract
Background: While exercise rehabilitation is recognized as safe and effective, medium- to long-term compliance among patients with coronary heart disease (CHD) remains low. Therefore, promoting long-term adherence to exercise rehabilitation for these patients warrants significant attention.
Objective: This study aims to investigate the impact of remote exercise rehabilitation on time investment and related cognitive levels in homebound patients with CHD. This study utilizes the SCeiP (Self-Evaluation/Condition of Exercise-Effect Perception-Internal Drive-Persistence Behavior) model, alongside WeChat and exercise bracelets.
Methods: A total of 147 patients who underwent percutaneous coronary intervention in the cardiovascular department of a grade III hospital in Jiangsu Province from June 2022 to March 2023 were selected as study participants through convenience sampling. The patients were randomly divided into an experimental group and a control group. The experimental group received an exercise rehabilitation promotion strategy based on the "SCeiP" model through WeChat and exercise bracelets, while the control group followed rehabilitation training according to a standard exercise rehabilitation guide. The days and duration of exercise, levels of cardiac rehabilitation cognition, exercise planning, and exercise input were analyzed before the intervention and at 1 month and 3 months after the intervention.
Results: A total of 81 men (55.1%) and 66 women (44.9%) were recruited for the study. The completion rate of exercise days was significantly higher in the experimental group compared with the control group at both 1 month (t145=5.429, P<.001) and 3 months (t145=9.113, P<.001) after the intervention. Similarly, the completion rate of exercise duration was significantly greater in the experimental group (t145=3.471, P=.001) than in the control group (t145=5.574, P<.001). The levels of autonomy, exercise planning, and exercise input in the experimental group were significantly higher than those in the control group at both 1 month and 3 months after the intervention (P<.001). Additionally, the experimental group exhibited a significant reduction in both process anxiety and outcome anxiety scores (P<.001). Repeated measures ANOVA revealed significant differences in the trends of cognitive function related to cardiac rehabilitation between the 2 patient groups over time: autonomy, F1,145(time×group)=9.055 (P<.001); process anxiety, F1,145(time×group)=30.790 (P<.001); and outcome anxiety, F1,145(time×group)=28.186 (P<.001). As expected, the scores for exercise planning (t145=2.490, P=.01 and t145=3.379, P<.001, respectively) and exercise input (t145=2.255, P=.03 and t145=3.817, P<.001, respectively) consistently demonstrated superiority in the experimental group compared with the control group at both 1 and 3 months after the intervention. Interestingly, we observed that the levels of exercise planning and exercise input in both groups initially increased and then slightly decreased over time, although both remained higher than the preintervention levels (P<.001).
Conclusions: The remote health intervention based on the "SCeiP" model effectively enhances exercise compliance, exercise planning, exercise input, and cognitive levels during cardiac rehabilitation in patients with CHD.
Trial registration: Chinese Clinical Trial Registry ChiCTR2300069463; https://www.chictr.org.cn/showproj.html?proj=192461.
期刊介绍:
The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades.
As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor.
Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.