Validation of a general measure of treatment satisfaction, the Treatment Satisfaction Questionnaire for Medication (TSQM), using a national panel study ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2004-02-26

AUTHORS

Mark J Atkinson, Anusha Sinha, Steven L Hass, Shoshana S Colman, Ritesh N Kumar, Meryl Brod, Clayton R Rowland

ABSTRACT

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. More... »

PAGES

12-12

Journal

TITLE

Health and Quality of Life Outcomes

ISSUE

1

VOLUME

2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1477-7525-2-12

DOI

http://dx.doi.org/10.1186/1477-7525-2-12

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039428500

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/14987333


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123 satisfaction
124 satisfaction questionnaire
125 scale
126 scaling method
127 second factor analysis
128 severity
129 side effects
130 significant differences
131 specific items
132 study
133 test items
134 time
135 total variance
136 treatment satisfaction
137 types
138 valid measure
139 validation
140 variance
141 variation
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