对成人骨关节炎患者的阿德尔菲依从性问卷 (ADAQ©) 进行心理计量学评估。

IF 2.4 Q2 HEALTH CARE SCIENCES & SERVICES Journal of Patient-Reported Outcomes Pub Date : 2024-10-14 DOI:10.1186/s41687-024-00789-7
Nathan Clarke, Andrew Trigg, Rob Arbuckle, Jan Stochl, Victoria Higgins, Sarah Bentley, James Piercy
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引用次数: 0

摘要

背景:不坚持用药是慢性病的一个常见问题。世界卫生组织已认识到需要一种有效可靠的方法来衡量用药依从性,以了解和减少不依从现象。本研究旨在对阿德尔菲依从性问卷(ADAQ©)的英文版进行心理计量学评估,该问卷旨在评估骨关节炎(OA)患者在多个治疗领域的患者报告的用药依从性:2020 年 11 月至 2021 年 3 月在美国进行的阿德尔菲 OA 特定疾病计划™(Adelphi OA Disease Specific Programme™)对医生及其咨询的成年 OA 患者进行了调查,调查数据用于评估 ADAQ 的心理测量特性。患者完成了 ADAQ、坚持补药和服药量表 (ARMS)、西安大略和麦克马斯特大学关节炎指数 (WOMAC) 以及 EQ-5D-3L 的填写。采用潜变量模型(多指标多因子、确证和探索性因子分析、项目反应理论、莫肯缩放和双因子分析)对 13 个项目 ADAQ 的测量模型进行了评估和改进。与 ARMS、WOMAC 和 EQ-5D-3L 评分的相关性分析(酌情采用斯皮尔曼等级分析和多序列分析)评估了构建的有效性。为了估计组间临床重要差异(CID),还进行了基于锚和分布的分析:本次分析共纳入 723 名患者(54.5% 为女性,69.0% 年龄≥ 60 岁)。潜变量模型显示单维反映模型是合适的,双因素模型证实了11个项目基本上是单维评分。第 12 项和第 13 项不计分,因为它们测量的是不同的概念。ADAQ 具有较高的内部可靠性,Ω 层次系数和 Cronbach's alpha 系数分别为 0.89 和 0.97。ADAQ与ARMS的项目以及医生报告的依从性和顺应性之间存在适度的相关性,因此具有收敛效度。高依从性组和低依从性组之间 ADAQ 分数的平均差异产生的 CID 估计值介于 0.49 分和 1.05 分之间,相关性加权平均值为 0.81 分:该评分模型在评估OA患者的用药依从性时显示出很强的建构有效性和内部一致性可靠性。未来的工作重点应是在一系列疾病领域确认其有效性。
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Psychometric evaluation of the Adelphi Adherence Questionnaire (ADAQ©) in adults with osteoarthritis.

Background: Medication non-adherence is a common issue in chronic illness. The World Health Organization has recognized a need for a valid and reliable method of measuring adherence to understand and mitigate non-adherence. This study aimed to psychometrically evaluate the English version of the Adelphi Adherence Questionnaire (ADAQ©), a questionnaire designed to assess patient-reported medication adherence across multiple therapy areas, in patients with Osteoarthritis (OA).

Methodology: Data from the Adelphi OA Disease Specific Programme™, a survey of physicians and their consulting adult patients with OA conducted in the United States, November 2020 to March 2021, was used to assess the psychometric properties of the ADAQ. Patients completed the ADAQ, Adherence to Refills and Medication Scale (ARMS), Western Ontario and McMaster Universities Arthritis Index (WOMAC), and EQ-5D-3L. The measurement model of the 13-item ADAQ was assessed and refined using latent variable modelling (Multiple Indicator Multiple Cause, confirmatory and exploratory factor analyses, item response theory, Mokken scaling, and bifactor analyses). Correlational analyses (Spearman's rank and polyserial as appropriate) with ARMS, WOMAC, and EQ-5D-3L scores assessed construct validity. Anchor- and distribution-based analyses were performed to estimate between-group clinically important differences (CID).

Results: Overall, 723 patients were included in this analysis (54.5% female, 69.0% aged ≥ 60). Latent variable modelling indicated a unidimensional reflective model was appropriate, with a bifactor model confirming an 11-item essentially unidimensional score. Items 12 and 13 were excluded from scoring as they measured a different concept. The ADAQ had high internal reliability with omega hierarchical and Cronbach's alpha coefficients of 0.89 and 0.97, respectively. Convergent validity was supported by moderate correlations with items of the ARMS, and physician-reported adherence and compliance. Mean differences in ADAQ score between high and low adherence groups yielded CID estimates between 0.49 and 1.05 points, with a correlation-weighted average of 0.81 points.

Conclusion: This scoring model showed strong construct validity and internal consistency reliability when assessing medication adherence in OA. Future work should focus on confirming validity across a range of disease areas.

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来源期刊
Journal of Patient-Reported Outcomes
Journal of Patient-Reported Outcomes Health Professions-Health Information Management
CiteScore
3.80
自引率
7.40%
发文量
120
审稿时长
20 weeks
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