Dataset Information

The Lubeck Medication Satisfaction Questionnaire-A Novel Measurement Tool for Therapy Satisfaction.

ABSTRACT:

Background

Therapy satisfaction is widely considered an important aspect of clinical care. Still, there are currently no freely available questionnaires for its measurement. We developed the Lübeck Medication Satisfaction Questionnaire (LMSQ) for that purpose. Here, we present its content and psychometric properties.

Methods

The LMSQ was validated on 86 patients in a single center study. The Kaiser-Meyer-Olkin test, confirmatory factor analysis, covariance analysis, and a test of exact fit were performed. Reliability was tested using Cronbach's α and McDonald's ω. The relationship to other patient-reported outcomes was tested using Pearson's correlation.

Results

Confirmatory factors analysis yielded moderate factor loadings with p < 0.001 in all subscales. Reliability was adequate (α = 0.857 and ω = 0.872). Model fitness was excellent in all tests. The LMSQ was positively correlated with medication adherence (r = 0.603, p < 0.001) and most dimensions of health literacy.

Conclusions

The LMSQ possesses adequate psychometric properties for its purpose. We recommend further validation in a more diverse patient collective.

SUBMITTER: Matrisch L

PROVIDER: S-EPMC10058402 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

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The Lübeck Medication Satisfaction Questionnaire-A Novel Measurement Tool for Therapy Satisfaction.

Matrisch Ludwig L Rau Yannick Y Karsten Hendrik H Graßhoff Hanna H Riemekasten Gabriela G

Journal of personalized medicine 20230310 3

<h4>Background</h4>Therapy satisfaction is widely considered an important aspect of clinical care. Still, there are currently no freely available questionnaires for its measurement. We developed the Lübeck Medication Satisfaction Questionnaire (LMSQ) for that purpose. Here, we present its content and psychometric properties.<h4>Methods</h4>The LMSQ was validated on 86 patients in a single center study. The Kaiser-Meyer-Olkin test, confirmatory factor analysis, covariance analysis, and a test of ...[more]

PMID: 36983687

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