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    The Effects of an Individual and Family Self-Management Program for Slowing Disease Progression via a Mobile Application on Self-Management Behaviors and Clinical Outcomes in Patients with Stage 3 Chronic Kidney Disease in Thailand: A Quasi-Experimental Study
    (2026-01-01)
    Kulsuwan, Suphitsara
    ;
    Chantamit-O-Pas, Chutima
    ;
    Ponpinij, Panicha
    ;
    Chantamit-O-Pas, Pattanapong
    Purpose: Stage 3 chronic kidney disease (CKD) is highly prevalent and often progresses to end-stage renal disease without effective self-management. This study examined the effects of an Individual and Family Self-Management Program delivered via a mobile communication application on self-management behaviors and clinical outcomes among patients with stage 3 CKD. Methods: A 12-week quasi-experimental study with a pretest-posttest control group design was conducted among 50 patients with stage 3 CKD at a tertiary hospital in Thailand, between January and May 2024. The intervention group received a self-management program grounded in Individual and Family Self-Management Theory and delivered via the LINE chatbot. The program included educational content, self-regulation strategies, and structured family support, while the control group received usual care. Outcomes included self-management behaviors, estimated glomerular filtration rate (eGFR), systolic blood pressure (SBP), diastolic blood pressure (DBP), and hemoglobin A1c (HbA1c). Analysis of covariance was used to adjust for baseline differences. Results: After adjustment for baseline values, the intervention group showed significantly greater improvements in self-management behaviors (F=7.92, p<.05) and eGFR (F=52.92, p<.001) compared with the control group. Significant reductions were also observed in SBP (F=26.84, p<.001), DBP (F=12.61, p<.05), and HbA1c levels (F=7.74, p<.05). Conclusion: A mobile-based Individual and Family Self-Management Program effectively improved self-management behaviors and key clinical outcomes among patients with stage 3 CKD, supporting the integration of family engagement and digital technology in chronic disease care.
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    Contextual Based E-tourism Application: A Personalized Attraction Recommendation System for Destination Branding and Cultivating Tourism Experiences
    (2024-01-01)
    Virutamasen, Porngarm
    ;
    Ahadi, Navidreza
    ;
    Wang, Jing
    ;
    Zanjanab, Ali Ghalehban
    ;
    Wongpreedee, Kageeporn
    This research introduces an innovative automated application designed to offer users personalized attraction recommendations tailored to their interests and current situations. Utilizing a contextual model and advanced machine learning techniques, the system constructs a comprehensive user profile by considering factors like historical behavior, current context, and demographic data. This approach addresses limitations observed in conventional personalized recommendation systems, including challenges in suggesting attractions for new users, providing comparable recommendations, and incorporating appropriate weighting. By integrating multi-dimensional user models based on context, the system enhances the platform's personalization and adaptability, ultimately contributing to the augmentation of Destination Branding and the cultivation of enriched Tourism. The research yields practical solutions for optimizing tourism services' personalization and introduces improvements in e-tourism recommender systems, carrying significant implications for both industry practitioners and academic researchers.