Social Support and Technology Use Technology as a Predictor of Diabetes Mellitus Patient Medication Adherence
Keywords:
Diabetes Mellitus, Social Support, Treatment Adherence, Technology UseAbstract
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
References
Care D, Suppl SS. 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes—2024. Diabetes Care 2024;47:S20–42. https://doi.org/10.2337/dc24-S002.
IDF Diabetes Atlas 2025 n.d.:1.
CDC. Type 2 Diabetes 2024.
Priscayanti NPH, Maharjana IBN, Wintariani NP, Hita I putu GAP. Hubungan Dukungan Keluarga Terhadap Kepatuhan Minum Obat Diabetes Melitus Tipe 2 di Puskesmas Mengwi II. J Mhs Ilmu Farm Dan Kesehat Vol1, 2023;1:122–33.
Ridwan RKS, Dewi ADA. Family Support and Dietary Adherence in Individuals with Type 2 Diabetes Mellitus in Banten, Indonesia. J Gizi Dan Pangan 2024;19:27–34. https://doi.org/10.25182/jgp.2024.19.supp.1.27-34.
Brew-Sam N, Chib A, Rossmann C. Differential influences of social support on app use for diabetes self-management - A mixed methods approach. BMC Med Inform Decis Mak 2020;20:1–13. https://doi.org/10.1186/s12911-020-01173-3.
Khalili Azar K, Mirzaei A, Babapour AR, Fathnezhad-Kazemi A. The mediating effect of self-efficacy on the relationship between social support and medication adherence in adults with type 2 diabetes. SAGE Open Med 2024;12. https://doi.org/10.1177/20503121231221446.
Sahfitri E. Pengaruh Motivasi Diri dan Kepatuhan Pengobatan terhadap Kualitas Hidup Pasien Diabetes Melitus Tipe 2 di RS Prof . Dr . Chairuddin Panusunan Lubis Universitas Sumatera Utara 2023.
Mufidah IL. Hubungan Dukungan Keluarga Dengan Kepatuhan Minum Obat Pada Pasien Diabetes Mellitus Tipe 2 di Kota Semaran. Universitas Islam Sultan Agung Semarang, 2022.
Safaruddin S, Permatasari H. Teknologi Kesehatan Digital Dalam Penanganan Masalah Diabetes Melitus Literature Review. Malahayati Nurs J 2022;4:960–70. https://doi.org/10.33024/mnj.v4i4.6201.
Fitrah, Istiqa Mukty M, Angraeni D. Optimalisasi Peran Teknologi Dalam Mendukung Manajemen Diabetes Melitus: Inisiatif Pemberdayaan Masyarakat Melalui Aplikasi Android. J Pengabdi Masy 2023;1:1–5.
Suciati A, Alfian SD. Teknologi Digital Untuk Meningkatkan Kepatuhan Pengobatan Pada Pasien Diabetes Melitus: Review Artikel. J Fak Farm Univ Padjadjaran 2022;16:213–21.
Badan Pusat Statistik (BPS). Kota Langsa Dalam Angka 2024 2024;22:i–473.
Cohen S, Syme SL. Issues in the Study and Application of. Soc Support Heal 1985:3–22.
Dahlke, Sarah D., & Hammen C. Social Support and Health in the Age of Digital Technology. Oxford University Press: 2023.
House JS. Work Stress and Social Support. Addison-Wesley: 2021.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis FD. User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly: 2023.
Leiva, F. L., Rojas, M., & Rodriguez R. Mobile Health Applications for Chronic Disease Management. Routledge: 2024.
WHO. Adherence to Long-Term Therapies: Evidence for Action. World Health Organization: 2023.
Morisky, D. E. et al. Erratum to: Office blood pressure threshold of 130/80 mmHg better predicts uncontrolled out-of-office blood pressure in apparent treatment-resistant hypertension (The Journal of Clinical Hypertension, (2021), 23, 3, (595-605), 10.1111/jch.14113). J Clin Hypertens 2022;24:91–6. https://doi.org/10.1111/jch.14346.
Gunawan D. Health Interventions and the Role of Technology in Patient Compliance. Academic Press: 2024.
Sugiyono. Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta; 2024.
Riyanto Y. Teknik Sampling dalam Penelitian Kesehatan. Jakarta: Rineka Cipta; 2025.
Hadi S. Metodologi Penelitian Sosial dan Pendidikan. Yogyakarta: Mitra Cendekia Media; 2025.
Sarason IG, Levine HM, Basham RB, Sarason BR. Assessing social support: The Social Support Questionnaire. J Pers Soc Psychol 1983;44:127–39. https://doi.org/10.1037//0022-3514.44.1.127.
World Health Organisation. Classification of digital interventions , services and applications in health. 2023.
English version of questionnaires : The 8-item Morisky Medication Adherence Scale ( MMAS-8 ) SF-12 health survey n.d.
Asniar F, Darwis, Asdar F. Hubungan Dukungan Keluarga Dengan Kepatuhan Diet Pasien Diabetes Mellitus Tipe 2 Di Wilayah Kerja Puskesmas Malaka Kecamatan Lalabata Kabupaten Soppeng. JIMPK J Ilm Mhs Penelit Keperawatan 2023;3:148–55.
Mayberry LS, Osborn CY. Family support, medication adherence, and glycemic control among adults with type 2 diabetes. Diabetes Care 2012;35:1239–45. https://doi.org/10.2337/dc11-2103.
Yang Y, Lee EY, Kim H-S, Lee S-H, Yoon K-H, Cho J-H. Effect of a Mobile Phone-Based Glucose-Monitoring and Feedback System for Type 2 Diabetes Management in Multiple Primary Care Clinic Settings: Cluster Randomized Controlled Trial. JMIR MHealth UHealth 2020;8. https://doi.org/https://doi.org/10.2196/16266.
Journal THE, Clinical OF. American Diabetes Association (ADA). Grants Regist 2024 2023;46:64–64. https://doi.org/10.1057/978-1-349-96073-6_16356.
Meriyana CM. Penyuluhan Pengetahuan Dan Dukungan Keluarga Dengan Kepatuhan Minum Obat Pasien Diabetes Mellitus Di Wilayah Kerja Puskesmas Suak Ribee Aceh Barat 2023;4:244–52.
Oktafiani D, M. Noer R, Agusthia M. Hubungan Dukungan Keluarga dengan Kepatuhan Diet Penderita Diabetes Melitus di Wilayah Kerja Puskesmas Pancur Kecamatan Lingga Utara. Kampurui J Kesehat Masy (The J Public Heal 2020;2:1–5. https://doi.org/10.55340/kjkm.v2i2.210.
Satria D, Amalia R, Ahyana. Dukungan keluarga dengan Kepatuhan Diet pada Pasien Diabetes Mellitus Tipe 2 di Wilayah Kerja Puskesmas Baiturrahman Banda Aceh Family Support and Dietary Adherence in Type 2 Diabetes Mellitus Patients in Puskesmas Baiturrahman Banda Aceh. JIM FKep 2022;VI:1–5.
Simorangkir L, Siallagan A, Hasugian H. Empowering Patients Using Smart Mobile Health Platforms: Evidence From A Randomized Field Experiment. Innov J Soc Sci Res Vol 4 Nomor 5 Tahun 2024 Page 2371-2379 E-ISSN 2807-4238 P-ISSN 2807-4246 2024;4:2371–9.
Gan Y, Tian F, Fan X, Wang H, Zhou J, Yang N, et al. A study of the relationship between social support, depression, alexithymia and glycemic control in patients with type 2 diabetes mellitus: a structural equation modeling approach. Front Endocrinol (Lausanne) 2024;15:1–11. https://doi.org/10.3389/fendo.2024.1390564.
Ghose A, Guo X, Li B, Dang Y. Empowering Patients Using Smart Mobile Health Platforms: Evidence From A Randomized Field Experiment. Pharmacogn Mag 2021;75:399–405.
Odhiambo C, Wright P, Corbett C, Valafar H. MedSensor: Medication Adherence Monitoring Using Neural Networks on Smartwatch Accelerometer Sensor Data 2021.
Adhanty S, Ayubi D, Anshari D. Hubungan Health Locus of Control dengan Kepatuhan Diet pada Pasien Diabetes Mellitus Tipe 2 di RSUD Kota Depok Tahun 2020. Perilaku Dan Promosi Kesehat Indones J Heal Promot Behav 2021;3:8. https://doi.org/10.47034/ppk.v3i1.4150.











