Tamene Fasil Bayafers, Mihiretie Endalamaw Aschale, Zeleke Tirsit Ketsela, Sendekie Ashenafi Kibret, Belachew Eyayaw Ashete, Wondm Samuel Agegnew
Department of Pharmacy, College of Health Science, Debre Markos University, Debre Markos, Ethiopia.
Department of Pharmacy, College of Medicine and Health Science, Bahir Dar University, Bahir Dar, Ethiopia.
Sci Rep. 2025 Jan 7;15(1):1192. doi: 10.1038/s41598-025-85379-3.
While pharmacotherapy is the primary approach for treating patients with bipolar disorder, non-adherence is the most common barrier preventing these patients from achieving optimal medication effectiveness. This study aimed to assess medication non-adherence and its predictors among patients with bipolar disorder in Northwest Ethiopia. A hospital-based cross-sectional study was conducted among 404 patients with bipolar disorder in Northwest Ethiopia from January to March 2024. Study participants were enrolled using systematic random sampling. Medication non-adherence was measured using the Medication Adherence Rating Scale (MARS). Data were entered and analyzed using Epi-data version 4.6.0 and SPSS version 26, respectively. A multivariable logistic regression model was fitted to identify predictors of medication non-adherence. Variables with a P-value < 0.05 at a 95% confidence interval were considered statistically significant. The prevalence of medication non-adherence was 39.9%. Number of admissions (AOR = 2.83, 95% CI 1.21, 6.59), suicidal attempts (AOR = 2.75, 95% CI 1.14, 6.63), current substance use (AOR = 2.09, 95% CI 1.13, 3.85) and social support (AOR = 3.57, 95% CI 1.08, 11.81) were statistically significant predictors of medication non-adherence. In this study, more than one-third of the respondents were found to be non-adherent. Participants with frequent admissions, suicidal attempts, current substance use and poor social support require prompt screening and critical follow-up to improve medication adherence.
虽然药物治疗是治疗双相情感障碍患者的主要方法，但不依从是阻碍这些患者实现最佳药物疗效的最常见障碍。本研究旨在评估埃塞俄比亚西北部双相情感障碍患者的药物治疗不依从情况及其预测因素。2024年1月至3月，在埃塞俄比亚西北部对404例双相情感障碍患者进行了一项基于医院的横断面研究。研究参与者采用系统随机抽样方法纳入。使用药物依从性评定量表（MARS）测量药物治疗不依从情况。数据分别使用Epi-data 4.6.0版和SPSS 26版录入和分析。采用多变量逻辑回归模型确定药物治疗不依从的预测因素。在95%置信区间内P值<0.05的变量被认为具有统计学意义。药物治疗不依从的患病率为39.9%。入院次数（比值比=2.83，95%置信区间1.21，6.59）、自杀未遂（比值比=2.75，95%置信区间1.14，6.63）、当前物质使用情况（比值比=2.09，95%置信区间1.13，3.85）和社会支持（比值比=3.57，95%置信区间1.08，11.81）是药物治疗不依从的统计学显著预测因素。在本研究中，发现超过三分之一的受访者存在不依从情况。频繁入院、有自杀未遂行为、当前有物质使用情况且社会支持较差的参与者需要及时筛查和密切随访，以提高药物依从性。
