Knowledge, Dietary Behavior, and Health Status in Hemodialysis Patients following an Application-based Self-management Model
DOI:
https://doi.org/10.64960/srimedj.v41i4.271714Keywords:
hemodialysis, self-management, mobile health, patient education, dietary behaviorAbstract
Background and objectives: Self-management plays a crucial role in maintaining fluid and electrolyte balance among patients with end-stage kidney disease undergoing hemodialysis. However, education provided in dialysis units is often episodic and may be insufficient to support sustained behavioral change. This study aimed to assess changes in knowledge, dietary behavior, and clinical parameters including blood pressure and serum electrolyte levels following the implementation of an integrated application-based self-management model in hemodialysis patients.
Methods: A quasi-experimental one-group pretest–posttest study was conducted in five hemodialysis units in Maha Sarakham Province. Ninety-nine patients with end-stage kidney disease participated in a 4-week application-based self-management program, which included educational content, behavior tracking, and two-way communication with healthcare providers. Pre–post differences were analyzed using paired t-tests.
Results: After the intervention, knowledge scores related to fluid and nutrition significantly increased (p<0.001) from 8.43±1.67 to 9.11±1.22 (p<0.001) and 7.23±1.67 to 8.44±1.22 (p<0.001) accordingly. The mean self-care behavior score improved from 10.34±2.29 to 13.36±1.64 (p<0.001). While the frequency of salty food consumption during breakfast and lunch decreased significantly from 8.40±18.10 to 5.00±14.40 and 13.90±23.00 to 8.10±17.90. However, no statistically significant changes were observed in blood pressure or serum electrolyte levels, both of which remained within clinically acceptable ranges.
Conclusions: The application-based self-management model was associated with improvements in knowledge and self-care behaviors among hemodialysis patients, although no short-term changes in clinical parameters were observed. These findings suggest the potential role of digital health tools in supporting continuous care in real-world settings. Further studies with controlled designs and longer follow-up periods are warranted to confirm these findings.
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