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How to measure experiences of healthcare quality in Denmark among patients with heart disease? The development and psychometric evaluation of a patient-reported instrument
- Source :
- BMJ Open, Zinckernagel, L, Schneekloth, N, Zwisler, A D O, Ersbøll, A K, Rod, M H, Jensen, P D, Timm, H & Holmberg, T 2017, ' How to measure experiences of healthcare quality in Denmark among patients with heart disease? The development and psychometric evaluation of a patient-reported instrument ', BMJ Open, vol. 7, no. 10, e016234 . https://doi.org/10.1136/bmjopen-2017-016234
- Publication Year :
- 2017
- Publisher :
- BMJ Publishing Group, 2017.
-
Abstract
- ObjectiveMeasuring the quality of care as experienced by patients is increasingly recognised as a way of improving healthcare services. However, disease-specific measures that take the patient journey into account are needed. This paper presents the development of such a measure for patients with heart disease and details the psychometric evaluation.DesignThe questionnaire was developed based on a literature review, qualitative interviews and a pilot-test. The psychometric evaluation of the measure was assessed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), Cronbach’s alpha coefficient and differential item functioning analysis with data from a population-based survey.SettingDenmark in 2013–2014.Study participantsNineteen heart patients, four relatives and eight health professionals participated in qualitative interviews in the development phase, and 15 patients participated in the pilot-test. The questionnaire was subsequently sent to a random sample of 5000 heart patients who were diagnosed in 2013.ResultsThe comprehensive development phase and pilot-testing contributed to high content validity of the questionnaire. Eligible questionnaire responses were received from 2496 patients. EFA indicated a nine-factor model: communication at the hospital, communication with the general practitioner, information on disease and treatment, information on psychosocial aspects, rehabilitation/support, organisation, medication, involvement of relatives and consideration of comorbidity. CFA confirmed the proposed factor structure (eg, goodness-of-fit index=0.88, adjusted goodness-of-fit index=0.86, root mean square error of approximation=0.05), and Cronbach’s alpha coefficient revealed good internal consistency of the factors (range: 0.69–0.93).ConclusionsThe results suggest that this disease-specific patient-reported experience measure is of good quality when measuring the quality of care among heart patients. The inclusion of patients in the development phase contributed to high content validity, and subsequent psychometric evaluation found high construct validity and internal consistency. This measure may be especially relevant when seeking information about which aspects of care require improvement and the impact on health outcomes.
- Subjects :
- Male
Psychometrics
Denmark
heart disease
Comorbidity
0302 clinical medicine
quality of care
Surveys and Questionnaires
Health care
Content validity
030212 general & internal medicine
Aged, 80 and over
education.field_of_study
030503 health policy & services
Communication
General Medicine
Middle Aged
Exploratory factor analysis
Confirmatory factor analysis
Hospitals
Patient Satisfaction
Female
Health Services Research
0305 other medical science
medicine.medical_specialty
Heart Diseases
Population
factor analysis
Access to Information
03 medical and health sciences
Cronbach's alpha
General Practitioners
medicine
psychometrics
Humans
Family
education
Aged
Quality of Health Care
Physician-Patient Relations
patient-reported experience
business.industry
Research
Construct validity
Reproducibility of Results
Family medicine
Physical therapy
business
Factor Analysis, Statistical
Subjects
Details
- Language :
- English
- ISSN :
- 20446055
- Volume :
- 7
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- BMJ Open
- Accession number :
- edsair.doi.dedup.....28141a5e1fc098fe0508d987cef2a802