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Psychometric properties of the Swedish cardiac anxiety questionnaire: a Rasch analysis
Philip Leissner1,2, Magnus Johansson3,4, Katarina Mars5
1Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden. philip.leissner@uu.se.
Insights
The Cardiac Anxiety Questionnaire (CAQ) shows significant psychometric limitations in patients post-myocardial infarction. Revision is needed to improve the reliability and validity of this cardiac anxiety scale.
Area of Science:
- Psychometrics
- Cardiology
- Mental Health
Background:
- Cardiac anxiety (CA) is prevalent in cardiac and mental health patients.
- The Cardiac Anxiety Questionnaire (CAQ) is widely used but its factor structure is uncertain.
- Previous CAQ validation used classical test theory; modern test theory approaches are lacking.
Purpose of the Study:
- To evaluate the validity and reliability of the 18-item CAQ using Rasch analysis in Swedish myocardial infarction patients.
- To investigate the psychometric properties of the CAQ with modern test theory.
Main Methods:
- Rasch analysis was applied to data from 754 post-myocardial infarction patients.
- Key Rasch model aspects assessed included dimensionality, response category ordering, invariance, targeting, and measurement uncertainty.
- Confirmatory factor analysis (CFA) was also performed.
Main Results:
- The original 18-item CAQ did not fit the Rasch model, showing issues with dimensionality, local dependency, and disordered response categories.
- A modified 10-item version also demonstrated questionable reliability.
- CFA indicated poor model fit for the 18-item CAQ subscales.
Conclusions:
- The 18-item CAQ lacks adequate reliability and validity based on Rasch analysis.
- Significant psychometric issues necessitate a revision of the Cardiac Anxiety Questionnaire.
- Current CAQ versions do not meet modern psychometric standards for this patient population.
Abstract:
Cardiac anxiety (CA) is a commonly occurring condition in populations with both cardiac and mental health conditions. It is assessed using the CA questionnaire (CAQ), which has been translated to several languages and its validity and reliability has been investigated using classical test theory. The factor structure of the CAQ remains uncertain, and no study has investigated the psychometric properties of the CAQ using modern test theory approaches. The aim of this study was to use Rasch analysis to test the validity and reliability of the original 18-item CAQ in a Swedish sample of patients with myocardial infarction, as well as other scales, based on previous findings. Participants were 754 patients after myocardial infarction with preserved cardiac function. Data were fitted to the Rasch model, investigating dimensionality, ordering of response categories, invariance, targeting and measurement uncertainty. Additionally, a confirmatory factor analysis (CFA) was conducted using a weighted least mean squares estimator and dynamic fit indices. All three subscales indicated problems with dimensionality and several items had disordered response categories, and with some of them minimal distance between steps. Many items displayed local dependency. There were also small problems with differential item functioning. Person locations were lower than the item threshold locations, but there were no significant floor or ceiling effects. The CFA also demonstrated a poor model fit of the three subscales in the 18-item version of the CAQ. An iterative removal of items resulted in a modified 10-item version still with questionable reliability. The original 18-item version of the CAQ did not fit the Rasch model. The major problems with the 18-item version were dimensionality, local dependency, and disordered response categories. No other version of the CAQ achieved acceptable fit to the Rasch model. These results indicate that the CAQ is lacking in terms of reliability and a revision of the scale is called for.Trial registration: ClinicalTrials.gov. (2017, August 09). Evaluation of Decreased Usage of Betablockers After Myocardial Infarction in the SWEDEHEART Registry (REDUCESWEDEHEART). U.S. National Library of Medicine. https//clinicaltrials.gov/study/NCT03278509 .
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