ArticleCureus2024
Measuring Diabetic Medication Adherence and Factors That Lead to Non-adherence Among Patients in Erbil.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Clinical Correlates of Type 2 Diabetes Self-Management in Adults: A Cross-Sectional Study.Diseases (Basel, Switzerland) · 2026Article
- Diabetes-Related Stigma and Interpersonal Distress Among Adults with Diabetes: A Cross-Sectional Study of Family, Workplace, and Healthcare Settings.Healthcare (Basel, Switzerland) · 2026Article
- Determinants of adherence to sirolimus among lymphangioleiomyomatosis patients.BMC pulmonary medicine · 2026Article
- Article
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3 authors.
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Abstract
Introduction T2D is a chronic and progressive disorder characterized by persistent hyperglycemia resulting from inadequate insulin secretion or utilization. The global prevalence of T2D is increasing rapidly, posing a significant health burden in many regions. In the Kurdistan region of Iraq, T2D presents a significant health burden, exacerbated by socioeconomic changes, dietary shifts, and rising obesity rates. Poor adherence to antidiabetic medications is a major factor contributing to poor glycemic control, accelerating disease progression, and increasing complications. This study aims to assess medication adherence rates among adult T2D patients in Erbil using the Kurdish version of the Morisky Medication Adherence Scale-8 (MMAS-8) and identify factors associated with non-adherence. Methods We conducted a cross-sectional study at public and private clinics in Erbil City, Kurdistan, Iraq, between May 1 and September 30, 2023. A convenience sample of 300 adult Kurdish T2D patients, aged ≥ 25 years and on antidiabetic medications for three months or more, was recruited. Data were collected using a structured questionnaire comprising sociodemographic characteristics, clinical and anthropometric measures, and medication adherence assessed by the Kurdish version of the MMAS-8. Statistical analysis included analysis of variance, Kruskal-Wallis, chi-square, and logistic regression models to identify factors associated with medication adherence. Results Of the 300 participants, 81 (27%) demonstrated high adherence, 98 (32.6%) moderate adherence, and 121 (40.3%) low adherence based on the MMAS-8. Low adherence was significantly associated with lower education (56/121, 46.3% vs. 13/81, 16.0%, p < 0.001), unemployment (73/121, 60.3% vs. 29/81, 35.8%, p = 0.008), rural residence (41/121, 33.9% vs. 10/81, 12.3%, p < 0.001), and lower income (62/121, 51.2% vs. 12/81, 14.8%, p < 0.001). High adherence was linked to better diabetes knowledge, home glucose monitoring, and exercise. High adherence was also associated with better glycemic control, with 76/81 (93.8%) of highly adherent patients achieving glycated hemoglobin (HbA1c) <7%, compared to 15/121 (12.4%) in the low adherence group (p < 0.001). Multivariate analysis identified HbA1c, dyslipidemia, and home blood glucose monitoring as independent factors associated with high adherence. Conclusions This study highlights the substantial impact of socioeconomic, behavioral, and clinical factors on medication adherence among T2D patients in Erbil. Low adherence is associated with lower education, income, and awareness of diabetes management, while high adherence is linked to improved glycemic control and reduced complications. Targeted interventions addressing these factors are essential to enhance adherence and optimize T2D management in this population.
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