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翻译并验证 Morisky、Green 和 Levine(MGL)依从性量表的阿拉伯语版本。

Translation and validation of the Arabic version of the Morisky, Green and Levine (MGL) adherence scale.

机构信息

Department of Biopharmaceutics and Clinical Pharmacy, School of Pharmacy, University of Jordan, Amman, Jordan.

Department of Pharmaceutics and Pharmaceutical Technology, School of Pharmacy, University of Jordan, Amman, Jordan.

出版信息

PLoS One. 2022 Oct 7;17(10):e0275778. doi: 10.1371/journal.pone.0275778. eCollection 2022.

Abstract

The Morisky Green Levine (MGL) adherence scale is a 4-item tool used for the detection of medication nonadherence among patients with chronic health conditions. Despite being widely used in Arabic-speaking research contexts, it has never been validated in Arabic language. The aim of this study was to translate and validate the MGL tool into Arabic. A standard forward-backward process was used to translate the questionnaire. Cronbach's alpha coefficient was measured to assess internal consistency of the scale. The test-retest reliability measured the consistency of participants' responses over time. Construct validity was evaluated by Explanatory factor analysis (EFA); Kaiser-Meyer-Olkin value and Bartlett's test of sphericity were determined. Convergent validity was assessed using a preexisting medications Arabic Adherence Assessment Tool (AAAT). The model fit was evaluated using confirmatory factor analysis (CFA). Associations between the MGL scale scores and the patient demographic/clinical characteristics were tested by linear regressions. A total of 201 participants were included into the study. The MGL scale categorization revealed that 20.9%, 59.2% and 19.9% of the participants had high, moderate and low levels of adherence respectively. Adequate internal consistency (alpha = 0.593) was observed. A significant strong ICC and Pearson's correlations were generated between responses at time 1 and time 2. EFA results elucidated the suitability of the data for factor analysis. Pearson's coefficient (r) revealed a significant strong correlation between MGL scale and AAAT. CFA results confirmed a good fit for the suggested model. Linear regression revealed higher number of medications, more frequent outpatient clinic visits and not experiencing medication adverse effect factors significantly associated with better adherence. The Arabic version of MLG scale is a reliable valid tool to assess adherence among Arabic-speaking communities. Implementing interventions targeting patients not compliant to regular clinic visits and those at higher risk of experiencing medication side effects can greatly enhance medication adherence.

摘要

Morisky Green Levine(MGL)依从性量表是一种用于检测慢性健康状况患者药物依从性的 4 项工具。尽管它在阿拉伯语研究环境中被广泛使用,但从未在阿拉伯语中进行过验证。本研究旨在将 MGL 工具翻译成阿拉伯语并进行验证。使用标准的正向-反向翻译过程来翻译问卷。Cronbach's alpha 系数用于评估量表的内部一致性。测试-重测信度衡量参与者随时间的反应一致性。通过解释性因素分析(EFA)评估结构效度;Kaiser-Meyer-Olkin 值和 Bartlett 的球形检验用于确定。通过使用先前存在的药物阿拉伯语依从性评估工具(AAAT)评估聚合效度。使用验证性因素分析(CFA)评估模型拟合度。通过线性回归测试 MGL 量表评分与患者人口统计学/临床特征之间的关联。共有 201 名参与者纳入研究。MGL 量表分类显示,20.9%、59.2%和 19.9%的参与者分别具有高度、中度和低度依从性。观察到足够的内部一致性(α=0.593)。在第 1 次和第 2 次时间点的反应之间生成了显著的强 ICC 和 Pearson 相关性。EFA 结果阐明了数据适合进行因素分析。Pearson 系数(r)揭示了 MGL 量表与 AAAT 之间存在显著的强相关性。CFA 结果证实了所提出模型的良好拟合。线性回归显示,服用更多药物、更频繁的门诊就诊以及没有经历药物不良反应的因素与更好的依从性显著相关。阿拉伯语版 MGL 量表是评估阿拉伯语社区依从性的可靠有效工具。针对不遵守常规诊所就诊和更有可能经历药物副作用的患者实施干预措施,可以大大提高药物依从性。

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