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Measuring Quality of Care: A Rasch Validity Analysis of the Good Nursing Care Scale
Minna Stolt1, Jouko Katajisto, Anders Kottorp
1Departments of Nursing Science (Drs Stolt and Leino-Kilpi) and Mathematics and Statistics (Mr Katajisto), University of Turku, Finland; Turku University Hospital, Finland (Drs Stolt and Leino-Kilpi); and Faculty of Health and Society, Malmö University, Sweden (Dr Kottorp).
Background:
Patient-centeredness is emphasized in both health policies and practice, calling for reliable instruments for the evaluation of the quality of nursing care.
Purpose:
The purpose was to analyze the psychometric properties of the Good Nursing Care Scale (GNCS) in a sample of surgical patients and nurses.
Methods:
An explorative cross-sectional study design was used. Data were collected with the 40-item GNCS from surgical patients (n = 476) and nurses (n = 167) in Finland. The data were analyzed with Rasch analysis.
Results:
The GNCS provided evidence of unidimensionality with acceptable goodness-of-fit to the Rasch model in both samples. Person-separation validity was acceptable. Person misfit was reasonable. The Rasch-equivalent Cronbach α was 0.81 (patient data) and 0.88 (nurse data).
Conclusions:
The findings support that the GNCS is a psychometrically sound instrument that can be used in measuring the quality of nursing care, from the perspective of both patients and nurses.
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