Confirmatory Factor Analysis of the Malay Version of the Malaysia Medication Adherence Assessment Tool (MyMAAT) Among Patients with Chronic Medications.

IF 2 3区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Patient preference and adherence Pub Date : 2024-12-21 eCollection Date: 2024-01-01 DOI:10.2147/PPA.S475738
Gaik Tian Ong, Sarimah Abdullah, Norsa'adah Binti Bachok
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引用次数: 0

Abstract

Purpose: The bilingual Malaysia Medication Adherence Assessment Tool (MyMAAT) was developed using the Exploratory Factor Analysis (EFA) and the current study intended to confirm the measurement model, dimensionality and ensure the factor structure by the Confirmatory Factor Analysis (CFA). The objective of this study was to validate the Malay version of the MyMAAT in measuring medication adherence among participants with chronic medications.

Patients and methods: A cross-sectional study was conducted using a self-report questionnaire at five health clinics and a hospital in Kuala Lumpur and Putrajaya region between May to November 2023. The participants were selected using quota sampling and written informed consent was obtained from each participant prior to data collection. There are two constructs in the MyMAAT, namely the Specific Medication-Taking Behaviour (Factor 1) and the Social-Cognitive Theory of Self-Efficacy and Social Support (Factor 2).

Results: Four hundred and seventy participants participated in the CFA study. The final model for the Malay version of the MyMAAT retained the two constructs and 12 items with good fit: CFI = 0.978, TLI = 0.973, RMSEA = 0.036 (90% CI 0.001,0.067) and with good composite reliability CR 0.790 for Factor 1 and 0.787 for Factor 2. The factor loadings ranged from 0.413 to 0.832 with p-value < 0.001. The AVE for Factor 1 was 0.664 and for Factor 2 was 0.491. There was a strong correlation (ρ = 0.507, p < 0.001) between the Malay version of the MyMAAT and the Malay version of the MMAS-8 by adherence category from the data of 191 participants. Twenty-six participants completed the test-retest after five to ten days from the first administration. The Malay version of the MyMAAT showed moderate to excellent with ICC 0.932 (95% CI: 0.661,0.986) for Factor 1 and poor to excellent for with ICC 0.956 (95% CI:0.325,0.997) for Factor 2 by using the Two-Way Mixed Model and Consistency type.

Conclusion: It is concluded that the Malay version of the MyMAAT is valid and reliable in measuring medication adherence among patients with chronic medications.

马来文版马来西亚药物依从性评估工具(MyMAAT)在慢性药物治疗患者中的验证性因素分析
目的:采用探索性因素分析(EFA)开发了马来西亚双语药物依从性评估工具(MyMAAT),本研究旨在通过验证性因素分析(CFA)确认测量模型、维度并确保因素结构。本研究的目的是验证马来版本的MyMAAT在测量慢性药物参与者的药物依从性。患者和方法:在2023年5月至11月期间,在吉隆坡和布城地区的五家诊所和一家医院使用自我报告问卷进行了一项横断面研究。参与者采用配额抽样选择,并在数据收集前获得每位参与者的书面知情同意。在MyMAAT中有两个构式,即特定服药行为(因子1)和自我效能感与社会支持的社会认知理论(因子2)。结果:470名参与者参与了CFA研究。马来语版MyMAAT的最终模型保留了两个构式和12个项目,具有良好的拟合性:CFI = 0.978, TLI = 0.973, RMSEA = 0.036 (90% CI 0.001,0.067),因子1的复合信度CR为0.790,因子2的复合信度CR为0.787。因子负荷范围为0.413 ~ 0.832,p值< 0.001。因子1 AVE为0.664,因子2 AVE为0.491。从191名参与者的数据中,马来语版本的MyMAAT和马来语版本的MMAS-8之间存在很强的相关性(ρ = 0.507, p < 0.001)。26名参与者在第一次给药后5到10天完成了重新测试。马来语版本的MyMAAT显示为中等至优秀,因子1的ICC为0.932 (95% CI: 0.661,0.986),因子2的ICC为0.956 (95% CI:0.325,0.997),使用双向混合模型和一致性类型。结论:马来语版MyMAAT量表对慢性用药患者用药依从性的测量是有效可靠的。
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来源期刊
Patient preference and adherence
Patient preference and adherence MEDICINE, GENERAL & INTERNAL-
CiteScore
3.60
自引率
4.50%
发文量
354
审稿时长
6-12 weeks
期刊介绍: Patient Preference and Adherence is an international, peer reviewed, open access journal that focuses on the growing importance of patient preference and adherence throughout the therapeutic continuum. The journal is characterized by the rapid reporting of reviews, original research, modeling and clinical studies across all therapeutic areas. Patient satisfaction, acceptability, quality of life, compliance, persistence and their role in developing new therapeutic modalities and compounds to optimize clinical outcomes for existing disease states are major areas of interest for the journal. As of 1st April 2019, Patient Preference and Adherence will no longer consider meta-analyses for publication.
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