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Patient Continuity of Care Questionnaire in a cardiac sample: A Confirmatory Factor Analysis
Emma Säfström1,2, Lena Nasstrom3, Maria Liljeroos4,2
1Department of Health, Medicine and Caring Sciences, Linköping University, Linkoping, Sweden emma.safstrom@liu.se.
Objective:
Even though continuity is essential after discharge, there is a lack of reliable questionnaires to measure and assess patients' perceptions of continuity of care. The Patient Continuity of Care Questionnaire (PCCQ) addresses the period before and after discharge from hospital. However, previous studies show that the factor structure needs to be confirmed and validated in larger samples, and the aim of this study was to evaluate the psychometric properties of the PCCQ with focus on factor structure, internal consistency and stability.
Design:
A psychometric evaluation study. The questionnaire was translated into Swedish using a forward-backward technique and culturally adapted through cognitive interviews (n=12) and reviewed by researchers (n=8).
Setting:
Data were collected in four healthcare settings in two Swedish counties.
Participants:
A consecutive sampling procedure included 725 patients discharged after hospitalisation due to angina, acute myocardial infarction, heart failure or atrial fibrillation.
Measurement:
To evaluate the factor structure, confirmatory factor analyses based on polychoric correlations were performed (n=721). Internal consistency was evaluated by ordinal alpha. Test-retest reliability (n=289) was assessed with intraclass correlation coefficient (ICC).
Results:
The original six-factor structure was overall confirmed, but minor refinements were required to reach satisfactory model fit. The standardised factor loadings ranged between 0.68 and 0.94, and ordinal alpha ranged between 0.82 and 0.95. All subscales demonstrated satisfactory test-retest reliability (ICC=0.76-0.94).
Conclusion:
The revised version of the PCCQ showed sound psychometric properties and is ready to be used to measure perceptions of continuity of care. High ordinal alpha in some subscales indicates that a shorter version of the questionnaire can be developed.
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