Abstract / Summary
This study aimed to develop and evaluate an Intelligent Empowerment Education-based System (IEES), which integrates empowerment education, refined management protocols, and smart technologies, for application among gout patients in resource-limited suburban settings. The primary goal was to address key challenges including suboptimal self-management capacity, poor treatment adherence, and unfavorable long-term clinical outcomes. A smart gout management system was developed using a SpringBoot+Vue framework, incorporating deep learning algorithms for personalized recommendations. A total of 90 gout patients admitted to a community health service center from January 2023 to December 2023 were randomly divided into a control group (n = 45) and an observation group (n = 45) according to a random number table. The control group received routine outpatient health education, while the observation group received an additional intervention based on empowerment education combined with refined management. The system was successfully developed with key performance indicators including response time <200 ms and prediction accuracy of 89.7%. The self-management ability score of the observation group was (145.6 ± 4.5), significantly higher than that of the control group (p < 0.05). The fasting serum uric acid (SUA) value of the observation, and the liver and kidney function were significantly lower than those of the control group (p < 0.05). The intelligent empowerment education disease management system significantly improved SUA control, self-management ability, and renal function in suburban gout patients. This "Internet+" chronic disease management model demonstrates promise for scalable application.
Primary Source
Frontiers in public health
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