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Evaluation of medication adherence and predictors of sub-optimal adherence among pre-dialysis patients with chronic kidney disease

机译:慢性肾疾病前透析患者中透析患者次良粘附的药物依从性和预测因子评价

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Background: Multiple medications are required to effectively manage chronic kidney disease (CKD) and associated complications, posing the risk of poor medication adherence. Objectives: To measure medication adherence levels and to investigate the potential predictors of sub-optimal medication adherence in pre-dialysis patients with CKD. Methods: A prospective study was conducted in the medical and nephrology outpatients’ clinics in Maiduguri. Nondialysis patients with CKD stages 1–4 aged 18 years and above were recruited through their physicians. The level of medication adherence was determined using Morisky Medication Adherence Scale. Descriptive statistics were used to summarize patients’ background characteristics. Multivariate binary logistic regression analyses were performed to investigate the significantly potential predictors of sub-optimal medication adherence at a p0.05. Results: There were 107 participants (48.6%) who had high medication adherence, while 97 (44.1%), and 16 (7.3%) of them had moderate adherence, and low adherence, respectively. The univariate analysis revealed that medication adherence level differed significantly with the number of medications taken daily by patients (p0.05). Multivariate logistic regression analyses did not reveal a significant independent predictor of sub-optimal medication adherence. Conclusion: A majority of the participants reported sub-optimal medication adherence. The independent variables considered did not significantly predict sub-optimal medication adherence in the study population. Nevertheless, the study findings highlight the importance of clinical pharmacists’ CKD management supportive care to help improve medication adherence.
机译:背景:需要多种药物来有效地管理慢性肾病(CKD)和相关的并发症,造成贫困药物遵守的风险。目的:测量药物粘附水平,并研究CKD透析前患者仿性药物粘附的潜在预测因子。方法:在Maiduguri的医学和肾病门诊病诊所进行了一项前瞻性研究。通过他们的医生招募了18岁及以上18岁以上的CKD阶段的疾病患者。使用Morisky药物粘附量表确定药物粘附水平。描述性统计用于总结患者的背景特征。进行多变量二元逻辑回归分析以研究P <0.05的次良粘附的显着潜在预测因子。结果:有107名参与者(48.6%)患有高药物依从性,而97(44.1%)和16(7.3%)分别具有中等的粘附性和低粘附性。单变量分析显示,药物粘附水平随患者每天服用的药物数量显着差异(P <0.05)。多变量逻辑回归分析没有揭示次良粘附的重要独立预测因子。结论:大多数参与者报告了次优药依从性。被认为的独立变量没有显着预测研究人群中的次良症依从性。然而,研究发现突出了临床药剂师CKD管理支持性护理的重要性,以帮助改善药物遵守。

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