Abdulrahman Surajudeen Abiola, Rampal Lekhraj, Othman Norlijah, Ibrahim Faisal, Kadir Shahar Hayati, Radhakrishnan Anuradha P
1 Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
2 Penang Medical College, Georgetown, Penang, Malaysia.
Asia Pac J Public Health. 2017 May;29(4):304-314. doi: 10.1177/1010539517700471. Epub 2017 Apr 11.
Medication adherence remains a critical link between the prescribed ART regimen and treatment outcome. Several factors may influence adherence behavior. This cross-sectional study aimed to highlight socioeconomic predictors of adherence behavior among a cohort of 242 adult Malaysian patients receiving antiretroviral therapy in Hospital Sungai Buloh, Malaysia, where they were enrolled in a parent study (single-blinded randomized controlled trial) between January and December 2014. Statistical analysis of secondary data on adherence behavior and sociodemographic characteristics of the patients revealed mean age of 33.4 years and ranged from 18 to 64 years; 88.8% were males. A total of 224 (93%) patients who completed 6 months' adherence assessment were included in the model. Of these, 135 (60.3%) achieved optimal adherence. Multivariate binary logistic regression analysis revealed that patient's income and ethnicity were significant predictors of adherence behavior. This may be valuable for targeted programmatic interventions to further enhance successful treatment outcomes among the target population.
药物依从性仍然是规定的抗逆转录病毒治疗方案与治疗结果之间的关键环节。有几个因素可能会影响依从行为。这项横断面研究旨在突出在马来西亚双溪毛糯医院接受抗逆转录病毒治疗的242名成年马来西亚患者队列中依从行为的社会经济预测因素，他们于2014年1月至12月参加了一项母体研究（单盲随机对照试验）。对患者依从行为和社会人口学特征的二手数据进行统计分析显示，平均年龄为33.4岁，年龄范围在18至64岁之间；88.8%为男性。共有224名（93%）完成6个月依从性评估的患者被纳入该模型。其中，135名（60.3%）实现了最佳依从性。多变量二元逻辑回归分析显示，患者的收入和种族是依从行为的重要预测因素。这对于有针对性的项目干预可能有价值，以进一步提高目标人群的成功治疗结果。
