The Consumer Quality Index in an accident and emergency department
Internal consistency, validity and discriminative capacity
Bibliographic Data
| ID | 19508957 |
|---|---|
| Authors | Nanne Bos (Stichting Miletus Zeist The Netherlands, corresponding author), Leontien M Sturms (0000-0002-3915-1653, Dutch Network for Acute Care Tilburg The Netherlands), Rebecca K Stellato (0000-0001-7298-4131, Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht the Netherlands), A J P Schrijvers (0000-0002-5480-5926, University Medical Center Utrecht), Henk F van Stel (0000-0002-3475-9846, Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht the Netherlands) |
| Year | 2015 |
| Volume | 18 |
| Issue | 5 |
| Pages | 1426-1438 |
| Publication date | 2015-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Health Expectations (JOURNAL) |
| Journal identifiers | ISSN: 1369-6513 • E-ISSN: 1369-7625 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/hex.12123 |
| PMID | 24102915 |
| OpenAlex | W1965615263 |
| Language | EN |
| Citations received | 2 |
| References cited | 26 |
BACKGROUND: Patients' experiences are an indicator of health-care performance in the accident and emergency department (A&E). The Consumer Quality Index for the Accident and Emergency department (CQI A&E), a questionnaire to assess the quality of care as experienced by patients, was investigated. The internal consistency, construct validity and discriminative capacity of the questionnaire were examined. METHODS: In the Netherlands, twenty-one A&Es participated in a cross-sectional survey, covering 4883 patients. The questionnaire consisted of 78 questions. Principal components analysis determined underlying domains. Internal consistency was determined by Cronbach's alpha coefficients, construct validity by Pearson's correlation coefficients and the discriminative capacity by intraclass correlation coefficients and reliability of A&E-level mean scores (G-coefficient). RESULTS: Seven quality domains emerged from the principal components analysis: information before treatment, timeliness, attitude of health-care professionals, professionalism of received care, information during treatment, environment and facilities, and discharge management. Domains were internally consistent (range: 0.67-0.84). Five domains and the 'global quality rating' had the capacity to discriminate among A&Es (significant intraclass correlation coefficient). Four domains and the 'global quality rating' were close to or above the threshold for reliably demonstrating differences among A&Es. The patients' experiences score on the domain timeliness showed the largest range between the worst- and best-performing A&E. CONCLUSIONS: The CQI A&E is a validated survey to measure health-care performance in the A&E from patients' perspective. Five domains regarding quality of care aspects and the 'global quality rating' had the capacity to discriminate among A&Es
Business · Construct validity · Content validity · Criterion validity · Cronbach's alpha · Discriminative model · Emergency department · Intraclass correlation · Patient satisfaction · Psychometrics · Quality management · Rating scale · Applied Psychology · Clinical Psychology · Computer Science · Emergency and Acute Care Studies · Medicine · Nursing · Patient Satisfaction in Healthcare · Primary Care and Health Outcomes · Psychology · Artificial Intelligence · Marketing
Applied Multivariate Statistics for the Social Sciences
Likert scales, levels of measurement and the “laws” of statistics
Multilevel Analysis
Quality of care from the patients' perspective
Generalizability theory
A brief conceptual tutorial on multilevel analysis in social epidemiology
Using Multilevel Modeling to Assess Case-Mix Adjusters in Consumer Experience Surveys in Health Care
How can Health Care Organizations be Reliably Compared
| Citations per year | 0.2 |
|---|---|
| Citation span | 2016 - 2021 (6) |
| Highly cited | No |