Validation of a general measure of treatment satisfaction, the Treatment Satisfaction Questionnaire for Medication (TSQM), using a national panel study of chronic disease.
Validation of a general measure of treatment satisfaction, the Treatment Satisfaction Questionnaire for Medication (TSQM), using a national panel study of chronic disease.
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DOI：
10.1186/1477-7525-2-12
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发表时间：
2004-02-26
影响因子：
3.6
通讯作者：
Rowland, Clayton R
中科院分区：
文献类型：
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作者：
Atkinson, Mark J;Sinha, Anusha;Rowland, Clayton R
背景：本研究的目的是开发并从心理测量学上评价患者对药物治疗满意度的一般测量方法，即药物治疗满意度问卷（TSQM）。方法：55个初始问题的内容和格式基于正式的概念框架、广泛的文献综述和三个患者焦点小组的输入。患者访谈被用来选择最相关的问题进行进一步评估（n = 31）。从全国慢性疾病纵向小组研究（n = 567）中招募了8个不同的患者组（关节炎、哮喘、重度抑郁症、I型糖尿病、高胆固醇、高血压、偏头痛和牛皮癣），对项目的心理测量性能和由此产生的TSQM量表进行了检查。然后，参与者被随机分配使用两种替代的评分方法（视觉模拟与李克特类型）中的一种来完成测试项目。结果：对具体项目进行因子分析（主成分提取与最大变量旋转），发现3个因子（特征值> 1.7）解释了总方差的75.6%；即副作用（4项，28.4%,Cronbach’s Alpha =.87）、有效性（3项，24.1%,Cronbach’s Alpha =.85）、便利性（3项，23.1%,Cronbach’s Alpha =.87）。第二次因子分析产生了一个全球满意度量表（3个项目，特征值= 2.3,79.1%,Cronbach's Alpha = 0.85）。最后四个量表具有良好的心理测量特性，其中李克特量表法优于VAS量表法。TSQM在给药途径（口服、注射、局部、吸入）、病情严重程度和用药时间上存在显著差异。使用TSQM量表的回归分析占患者对其坚持当前药物可能性评分变化的40-60%。结论：TSQM量表是一种在心理测量学上健全有效的衡量患者用药满意度的主要维度的量表。初步证据表明，TSQM也可以很好地预测不同类型药物和患者群体的患者药物依从性。
BACKGROUND: The objective of this study was to develop and psychometrically evaluate a general measure of patients' satisfaction with medication, the Treatment Satisfaction Questionnaire for Medication (TSQM).METHODS: The content and format of 55 initial questions were based on a formal conceptual framework, an extensive literature review, and the input from three patient focus groups. Patient interviews were used to select the most relevant questions for further evaluation (n = 31). The psychometric performance of items and resulting TSQM scales were examined using eight diverse patient groups (arthritis, asthma, major depression, type I diabetes, high cholesterol, hypertension, migraine, and psoriasis) recruited from a national longitudinal panel study of chronic illness (n = 567). Participants were then randomized to complete the test items using one of two alternate scaling methods (Visual Analogue vs. Likert-type).RESULTS: A factor analysis (principal component extraction with varimax rotation) of specific items revealed three factors (Eigenvalues > 1.7) explaining 75.6% of the total variance; namely Side effects (4 items, 28.4%, Cronbach's Alpha =.87), Effectiveness (3 items, 24.1%, Cronbach's Alpha =.85), and Convenience (3 items, 23.1%, Cronbach's Alpha =.87). A second factor analysis of more generally worded items yielded a Global Satisfaction scale (3 items, Eigenvalue = 2.3, 79.1%, Cronbach's Alpha =.85). The final four scales possessed good psychometric properties, with the Likert-type scaling method performing better than the VAS approach. Significant differences were found on the TSQM by the route of medication administration (oral, injectable, topical, inhalable), level of illness severity, and length of time on medication. Regression analyses using the TSQM scales accounted for 40-60% of variation in patients' ratings of their likelihood to persist with their current medication.CONCLUSION: The TSQM is a psychometrically sound and valid measure of the major dimensions of patients' satisfaction with medication. Preliminary evidence suggests that the TSQM may also be a good predictor of patients' medication adherence across different types of medication and patient populations.