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All Journal Jurnal Ilmiah Multidisiplin Indonesia
Eva Sulistiany
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Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Engineering Physics

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Social Support and Technology Use Technology as a Predictor of Diabetes Mellitus Patient Medication Adherence Elfida, Elfida; Fathul Jannah; Eva Sulistiany; Afnina, Afnina; Yulina Astuti
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 4 No. 05 (2025): Multidisiplin Indonesia (JIM-ID), Mey 2025
Publisher : Sean Institute

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Abstract

Treatment adherence is a key factor in managing Type 2 Diabetes Mellitus . yet patient adherence remains low in various regions. including Langsa City. This study aimed to determine the extent to which social support and health technology use contribute to patient adherence to treatment. A quantitative approach with an analytic survey method was employed. A sample of 200 T2DM patients was obtained through area sampling from five sub-districts in Langsa City. Research instruments included a structured questionnaire based on the Social Support Questionnaire (SSQ). health technology use indicators. and a modified Morisky Medication Adherence Scale (MMAS-8). Data were analyzed using multiple linear regression. with classical assumption tests to validate the model. Results revealed that social support significantly influenced treatment adherence (40.3%). while technology use contributed 27.1%. These findings suggest that interventions integrating social and digital components could enhance patient adherence. In conclusion, social support and technology use are critical predictors of improved treatment adherence in diabetes patients. Strengthening family-based and technology-driven interventions in healthcare services is recommended
Co-Authors Afnina, Afnina Astuti, Yulina Elfida Elfida Fathul Jannah