Riaz Sohail, Khuda Fazli, Malik Nadia Shamshad, Gohar Nitasha, Rashid Ayesha, Khan Abuzar, Rahman Abdur, Ali Sajid, Jan Asif, Nasim Aqeel
Department of Pharmacy, University of Peshawar, Peshawar, Pakistan.
Faculty of Pharmacy, Capital University of Science and Technology, Islamabad, Pakistan.
PLoS One. 2025 Apr 28;20(4):e0320258. doi: 10.1371/journal.pone.0320258. eCollection 2025.
In Pakistan, Major depressive disorder (MDD) contributes significantly to the mental health burden. It is crucial to understand patients' medication adherence status for developing a strategy for improving adherence and treatment outcomes. Therefore, a valid and reliable tool in the local Urdu language is required. The Morisky, Greene, and Levine Medication Adherence Scale (MGLS-4) is a reliable, valid and straightforward instrument to assess medication-taking behavior. The valid and reliable Urdu translation of MGLS-4 can fill this gap within the local context. Therefore, the present study aims to validate the Urdu Morisky, Green and Levine Adherence Scale (UMGLS-4) for MDD patients. This was a quantitative, cross-sectional validation study for Pakistani MDD patients. Reliability was measured using Cronbach's α and for test-retest reliability intraclass correlation coefficient (ICC) was calculated. Validity was assessed through face validity, content validity, construct validity, and convergent validity with the Drug Attitude Inventory (DAI-10). Descriptive and inferential statistical analyses were carried out to demonstrate adherence level and statistical significance, respectively. Linear regression was applied to find the association between the UGMLS-4 score and demographic characteristics. The UMGLS-4 demonstrated high reliability (Cronbach's α = 0.829) and a significant strong ICC (x = 0.601, p < 0.01) was detected. Exploratory factor analysis (EFA) revealed a single-factor structure explaining 66.084% of the variance. Confirmatory factor analysis (CFA) confirmed good model fit (GFI = 0.950, AGFI = 0.920, NFI = 0.930, RMSEA = 0.050, SRMSR = 0.055). Medication adherence was observed to be high in 39.1% of patients, moderate in 28.6%, and poor in 32.3%. Significant associations were found between adherence scores and gender, educational attainment, and occupational status (p < 0.005) with education predicting adherence (B = 0.301, p < 0.000), indicating the scale's robustness in detecting adherence variations among Urdu-speaking MDD patients. The UMGLS-4 is a reliable and valid tool for assessing medication adherence in Pakistani MDD patients, effectively capturing adherence variations across demographic variables.
在巴基斯坦,重度抑郁症(MDD)是心理健康负担的一个重要因素。了解患者的药物依从性状况对于制定改善依从性和治疗效果的策略至关重要。因此,需要一种当地乌尔都语的有效且可靠的工具。莫里斯基、格林和莱文药物依从性量表(MGLS - 4)是一种评估服药行为的可靠、有效且简单的工具。MGLS - 4的有效且可靠的乌尔都语翻译可以填补当地这方面的空白。因此,本研究旨在验证针对MDD患者的乌尔都语莫里斯基、格林和莱文依从性量表(UMGLS - 4)。这是一项针对巴基斯坦MDD患者的定量横断面验证研究。使用克朗巴哈α系数测量信度,并计算组内相关系数(ICC)以评估重测信度。通过表面效度、内容效度、结构效度以及与药物态度量表(DAI - 10)的收敛效度来评估效度。分别进行描述性和推断性统计分析以证明依从性水平和统计学意义。应用线性回归来找出UGMLS - 4得分与人口统计学特征之间的关联。UMGLS - 4显示出高信度(克朗巴哈α系数 = 0.829),并检测到显著的强ICC(x = 0.601,p < 0.01)。探索性因子分析(EFA)揭示了一个单因子结构,解释了66.084%的方差。验证性因子分析(CFA)证实模型拟合良好(GFI = 0.950,AGFI = 0.920,NFI = 0.930,RMSEA = 0.050,SRMSR = 0.055)。观察到39.1%的患者药物依从性高;28.6%的患者依从性中等;32.3%的患者依从性差。在依从性得分与性别、教育程度和职业状况之间发现了显著关联(p < 0.005),其中教育程度可预测依从性(B = 0.301,p < 0.000),这表明该量表在检测乌尔都语MDD患者的依从性差异方面具有稳健性。UMGLS - 4是评估巴基斯坦MDD患者药物依从性的可靠且有效的工具,能够有效捕捉不同人口统计学变量间的依从性差异。