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Cross-cultural adaptation and psychometric evaluation of the urdu version of the morisky, greene, and levine medication adherence scale (MGLS-4) for major depressive disorder patients.

作者信息

Riaz Sohail, Khuda Fazli, Malik Nadia Shamshad, Gohar Nitasha, Rashid Ayesha, Khan Abuzar, Rahman Abdur, Ali Sajid, Jan Asif, Nasim Aqeel

机构信息

Department of Pharmacy, University of Peshawar, Peshawar, Pakistan.

Faculty of Pharmacy, Capital University of Science and Technology, Islamabad, Pakistan.

出版信息

PLoS One. 2025 Apr 28;20(4):e0320258. doi: 10.1371/journal.pone.0320258. eCollection 2025.


DOI:10.1371/journal.pone.0320258
PMID:40294004
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12036920/
Abstract

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.

摘要

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本文引用的文献

[1]
Types of Medication Non-adherence & Approaches to Enhance Medication Adherence in Mental Health Disorders: A Narrative Review.

Indian J Psychol Med. 2024-11

[2]
An observational study to evaluate the awareness of drug treatment, prescription pattern, adverse drug reactions, and adherence in patients of major depressive disorder.

Perspect Clin Res. 2024

[3]
Satisfaction With and Adherence to Off-Label Corticosteroids in Adolescents and Adults With Eosinophilic Esophagitis: Results of a Web-Based Survey in the United States.

J Clin Gastroenterol. 2025-2-1

[4]
The Relationship Between Level of Education, Cognitive Function and Medication Adherence in Patients with Schizophrenia.

Neuropsychiatr Dis Treat. 2023-11-15

[5]
Factors Associated with Adherence to Treatment in Patients with HIV and Diabetes Mellitus.

J Pers Med. 2023-1-31

[6]
Medication nonadherence: health impact, prevalence, correlates and interventions.

Psychol Health. 2023-6

[7]
Assessment of Health-Related Quality of Life, Medication Adherence, and Prevalence of Depression in Kidney Failure Patients.

Int J Environ Res Public Health. 2022-11-18

[8]
Translation and validation of the Arabic version of the Morisky, Green and Levine (MGL) adherence scale.

PLoS One. 2022

[9]
Patient-reported outcome measures to detect intentional, mixed, or unintentional non-adherence to medication: a systematic review.

BMJ Open. 2022-9-19

[10]
Primary nonadherence to drugs prescribed by general practitioners: A Dutch database study.

Br J Clin Pharmacol. 2023-1

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