The Impact of Digital-Intelligent Health Education on Dry Weight Management in Patients Undergoing Maintenance Hemodialysis
Abstract
Objective: To evaluate the effectiveness of digital-intelligent health education for patients undergoing maintenance hemodialysis. Methods: From December 2023 to December 2024, 82 patients undergoing maintenance hemodialysis in our hospital were selected and randomly divided into an observation group (n = 41, receiving routine health education) and a control group (n = 41, receiving digital health education). The levels of knowledge, belief, and behavior related to dry weight control, as well as changes in dry weight and complications, were compared before and after intervention. Results: After intervention, the observation group had higher scores for knowledge (40.96 ± 6.43), belief (39.11 ± 6.39), behavior (39.66 ± 5.78), and total score (119.04 ± 13.11) compared to the control group (p < 0.05). The observation group also showed better dry weight control than the control group (p < 0.05). The total incidence of complications in the observation group (4.88%, 2/41) was lower than that in the control group (21.95%, 9/41) (p < 0.05). Conclusion: The rational application of digital-intelligent health education can effectively maintain dry weight in patients undergoing maintenance hemodialysis, reduce complications, and improve patients’ knowledge, belief, and behavior levels. This approach is worthy of promotion.
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