Ladner Joel, Sawsan Alshurafa, Nofal Anas, Rana Mohamed, Ammar Malak, Saba Joseph, Audureau Etienne
Department of Epidemiology & Health Promotion, Rouen University Hospital, Rouen, France.
Axios International/ Block 8, No. 12 Blanchardstown, Corporate Park Dublin 15, Ireland.
J Comp Eff Res. 2025 Jun;14(6):e250020. doi: 10.57264/cer-2025-0020. Epub 2025 May 5.
To assess the evolution of chronic disease medication adherence factors and identify factors predictive of long-term adherence in the UAE. Patients ≥18 years old; newly diagnosed with one of the following diseases: ankylosing spondylitis, heart failure, multiple sclerosis, psoriasis, or asthma and prescribed long-term medication were followed ≥12 months (M12), then categorized as followed (continued treatment by prescribing physician) or lost to follow-up. Adherence was assessed using the Patient Needs Assessment Tool (PNAT), which is based on the WHO's five dimensional framework. A total of 111 patients were included, 17 (15.3%) were lost of follow-up at M12. Time spent in consultation by medical doctor (MD) (adjusted odds ratio = 6.89, 95% CI = 2.07-12.76) and anxiety and stress level (adjusted odds ratio = 0.18, 95% CI = 0.11-0.67) were significant predictive factors associated with remaining on treatment at M12. Self organizing map methodology identified predictive factors associated with remaining on treatment at M12 as: patient satisfaction with time spent with prescribing MD, patient involvement in treatment decision, disease management ability, satisfaction with support from family/friends, low dependence on others for daily life activities, difficulties joining community activities, and acknowledgement of an influential role of cultural habits/spiritual beliefs. The highest means score differences from M0 to M12 were for difficulties joining community activities (difference [diff] M12-M0 = 1.32, p < 10), role of cultural habits (diff = 1.05, p < 10), role of spiritual beliefs (diff = 1.02, p < 10), patient involved in treatment decision (diff = 0.67, p = 0.007), and memory difficulties (diff = 0.62, p < 10). Socio-economic factors changed most significantly over 12 months. The identified factors may be used to develop strategies to improve patient satisfaction with the time they spend with the prescribing MD as well as reduce stress, each of which may improve medication adherence. Understanding patient behavior and accurately quantifying adherence are essential for improving outcomes for patients prescribed chronic disease medication in Gulf Arabic countries.
评估阿联酋慢性病药物治疗依从性因素的演变,并确定预测长期依从性的因素。年龄≥18岁;新诊断患有以下疾病之一:强直性脊柱炎、心力衰竭、多发性硬化症、银屑病或哮喘且正在接受长期药物治疗的患者被随访≥12个月(M12),然后分为以下两类(由开处方医生继续治疗)或失访。使用基于世界卫生组织五维框架的患者需求评估工具(PNAT)评估依从性。共纳入111名患者,17名(15.3%)在M12时失访。医生会诊时间(调整后的优势比=6.89,95%置信区间=2.07-12.76)以及焦虑和压力水平(调整后的优势比=0.18,95%置信区间=0.11-0.67)是与在M12时继续治疗相关的显著预测因素。自组织映射方法确定与在M12时继续治疗相关的预测因素为:患者对与开处方医生相处时间的满意度、患者参与治疗决策、疾病管理能力、对家人/朋友支持的满意度、日常生活活动对他人的低依赖程度、参与社区活动的困难程度以及对文化习惯/精神信仰影响作用的认知。从M0到M12平均得分差异最大的是参与社区活动的困难程度(差异[diff]M12-M0=1.32,p<10)、文化习惯的作用(diff=1.05,p<10)、精神信仰的作用(diff=1.02,p<10)、患者参与治疗决策(diff=0.67,p=0.007)以及记忆困难(diff=0.62,p<10)。社会经济因素在12个月内变化最为显著。所确定的因素可用于制定策略,以提高患者对与开处方医生相处时间的满意度,并减轻压力,每一项都可能提高药物治疗依从性。了解患者行为并准确量化依从性对于改善海湾阿拉伯国家慢性病药物治疗患者的治疗效果至关重要。