In EDS ansehen

Impact of Mobile App-Based Self-Monitoring Engagement on Self-Care Self-Efficacy, Health Behaviors, and Hemoglobin A1c Among Patients With Type 2 Diabetes Mellitus: A Secondary Analysis of a Randomized Controlled Trial.

Gespeichert in:
Bibliographische Detailangaben
Titel: Impact of Mobile App-Based Self-Monitoring Engagement on Self-Care Self-Efficacy, Health Behaviors, and Hemoglobin A1c Among Patients With Type 2 Diabetes Mellitus: A Secondary Analysis of a Randomized Controlled Trial.
Autoren: Park, Gaeun1,2 (AUTHOR), Lee, Haejung1,2 (AUTHOR) haejung@pusan.ac.kr, Lee, Min Jin3,4 (AUTHOR), Khang, Ahreum3,4 (AUTHOR)
Quelle: Western Journal of Nursing Research. Dec2025, Vol. 47 Issue 12, p1180-1192. 13p.
Schlagwörter: *MOBILE apps, *SELF-management (Psychology), *SELF-efficacy, *GLYCOSYLATED hemoglobin, *SECONDARY analysis, *RESEARCH funding, *CRONBACH'S alpha, *DESCRIPTIVE statistics, *STRUCTURAL equation modeling, *LONGITUDINAL method, *HEALTH behavior, *TYPE 2 diabetes, *BLOOD sugar monitoring
Abstract: Background: Higher engagement in mobile app-based self-monitoring is associated with better outcomes among patients with type 2 diabetes mellitus (T2DM). Previous studies were limited by short follow-up periods or focusing solely on hemoglobin A1c (HbA1c). Objective: We aimed to identify mobile app-based self-monitoring engagement patterns among patients with T2DM and explore their long-term impact on self-care self-efficacy, health behaviors, and HbA1c. Methods: Latent class growth analysis was used to examine data from 103 participants in the intervention group of a randomized controlled trial of a self-care program over 18 months. The program included goal setting, education, self-monitoring, and feedback through automated algorithms, primarily delivered through a mobile app platform. Differences in general characteristics, self-care self-efficacy, health behaviors, and HbA1c at baseline and 18-month follow-up were analyzed based on latent classes. Longitudinal changes were explored using generalized estimating equations. Results: Three latent classes were identified: high (21.36%), medium (20.39%), and low-engagement groups (58.25%) within the intervention group. Significant differences in age, self-care self-efficacy, regular exercise, and grain and vegetable intake were observed between the groups. Longitudinal analysis showed significant differences in self-care self-efficacy, health behaviors, and HbA1c over the 18-month follow-up. Conclusions: This study informs tailored strategies to enhance mobile app-based self-monitoring engagement, which may improve outcomes for patients with T2DM. [ABSTRACT FROM AUTHOR]
Datenbank: Academic Search Index
Beschreibung
Abstract:Background: Higher engagement in mobile app-based self-monitoring is associated with better outcomes among patients with type 2 diabetes mellitus (T2DM). Previous studies were limited by short follow-up periods or focusing solely on hemoglobin A1c (HbA1c). Objective: We aimed to identify mobile app-based self-monitoring engagement patterns among patients with T2DM and explore their long-term impact on self-care self-efficacy, health behaviors, and HbA1c. Methods: Latent class growth analysis was used to examine data from 103 participants in the intervention group of a randomized controlled trial of a self-care program over 18 months. The program included goal setting, education, self-monitoring, and feedback through automated algorithms, primarily delivered through a mobile app platform. Differences in general characteristics, self-care self-efficacy, health behaviors, and HbA1c at baseline and 18-month follow-up were analyzed based on latent classes. Longitudinal changes were explored using generalized estimating equations. Results: Three latent classes were identified: high (21.36%), medium (20.39%), and low-engagement groups (58.25%) within the intervention group. Significant differences in age, self-care self-efficacy, regular exercise, and grain and vegetable intake were observed between the groups. Longitudinal analysis showed significant differences in self-care self-efficacy, health behaviors, and HbA1c over the 18-month follow-up. Conclusions: This study informs tailored strategies to enhance mobile app-based self-monitoring engagement, which may improve outcomes for patients with T2DM. [ABSTRACT FROM AUTHOR]
ISSN:01939459
DOI:10.1177/01939459251374937