Department of pharmacy, Al-Zaytoonah University of Jordan, Amman, Jordan.
Faculty of Pharmacy, Department of Clinical Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.
PLoS One. 2021 Aug 23;16(8):e0256666. doi: 10.1371/journal.pone.0256666. eCollection 2021.
This study aims to assess medication adherence and explore its predictors in outpatients with type 2 diabetes.
This cross-sectional study collected socio-demographics, disease-related information, and different biomedical variables for type 2 diabetes patients attending a Jordanian Diabetes center. The four-item medication adherence scale (4-IMAS) and the beliefs about medications questionnaire (BMQ) which includes necessity and concerns were used. Stepwise backward quartile regression models were conducted to evaluate variables associated with the Necessity and Concerns scores. Stepwise ordinal regression was conducted to evaluate variables associated with adherence.
287 diabetic patients participated in the study. Almost half of the participants (46.5%) reported moderate adherence and 12.2% reported low adherence. Significant predictors of the adherence were necessity score (OR = 14.86, p <0.01), concern score (OR = 0.36, p <0.05), and frequency of medication administration (OR = 0.88, p- <0.01). Education was a significant predictor of Necessity and Concerns scores (β = 0.48, -0.2, respectively).
Simplifying the medication regimen, emphasizing medication necessity and overcoming medication concerns should be targeted in future diabetes intervention programs to improve medication adherence and hence glycemic control among diabetic patients.
本研究旨在评估 2 型糖尿病门诊患者的药物依从性，并探讨其预测因素。
本横断面研究收集了约旦糖尿病中心就诊的 2 型糖尿病患者的社会人口统计学、疾病相关信息和不同的生物医学变量。使用了四项药物依从性量表（4-IMAS）和包括必要性和顾虑的药物信念问卷（BMQ）。采用逐步向后四分位回归模型评估与必要性和顾虑评分相关的变量。采用逐步有序回归评估与依从性相关的变量。
287 名糖尿病患者参与了研究。近一半的参与者（46.5%）报告中度依从，12.2%报告低依从。依从性的显著预测因素是必要性评分（OR=14.86，p<0.01）、顾虑评分（OR=0.36，p<0.05）和药物给药频率（OR=0.88，p<0.01）。教育是必要性和顾虑评分的显著预测因素（β=0.48，-0.2）。
在未来的糖尿病干预计划中，应简化药物治疗方案，强调药物的必要性并克服药物顾虑，以提高糖尿病患者的药物依从性，从而改善血糖控制。
