Validation of the Rainbow Model of Integrated Care Measurement Tools (RMIC-MTs) in renal care for patient and care providers


Autoři: Pim P. Valentijn aff001;  Fernando Pereira aff004;  Christina W. Sterner aff005;  Hubertus J. M. Vrijhoef aff001;  Dirk Ruwaard aff002;  Jörgen Hegbrant aff008;  Giovanni F. M. Strippoli aff008
Působiště autorů: Department of Patient and Care, Maastricht University Medical Center, Maastricht, The Netherlands aff001;  Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands aff002;  Integrated Care Evaluation, Essenburgh, Hierden, The Netherlands aff003;  Strategy and Health Economics Office, Diaverum, Madrid, Spain aff004;  Strategy and Health Economics Office, Diaverum, Gothenburg, Sweden aff005;  Department of Family Medicine, Vrije Universiteit Brussel, Brussels, Belgium aff006;  Panaxea, Amsterdam, The Netherlands aff007;  Diaverum Medical Scientific Office, Diaverum Sweden AB, Lund, Sweden aff008;  Sydney School of Public Health, The University of Sydney, Sydney, Australia aff009;  Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy aff010
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
doi: 10.1371/journal.pone.0222593

Souhrn

Introduction

Integrated service delivery is considered to be an essential condition for improving the management and health outcomes of people with chronic kidney disease (CKD). However, research on the assessment of integrated care by patients and care providers is hindered by the absence of brief, reliable, and valid measurement tools.

Objective

The aim of this study was to develop survey instruments for healthcare professionals and patients based on the Rainbow Model of Integrated Care (RMIC), and to evaluate their psychometric properties.

Design

The development process was based on the US Food and Drug Administration guidelines. This included item generation from systematic reviews of existing tools and expert opinion on clarity and content validity, involving renal care providers and chronic kidney patients. A cross-sectional, multi-centre design was used to test for internal consistency and construct validity.

Setting

Outpatient clinics in a large renal network.

Participants

A sample of 30.788 CKD patients, and 8.914 renal care providers.

Methods and analysis

Both survey instruments were developed using previous qualitative work and published literature. A multidisciplinary expert panel assessed the face and content validity of both instruments and following a pilot study, the psychometric properties of both instruments were explored. Exploratory factor analysis with principal axis factoring and with promax rotation was used to assess the underlying dimensions of both instruments; Cronbach’s alpha was used to determine the internal constancy reliability.

Results

17.512 patients (response rate: 56.9%) and 8.849 care providers (response rate: 69.5%) responded to the questionnaires. Factor analysis of the patient questionnaire yielded three internally consistent (Cronbach’s alpha > 0.7) factors: person-centeredness, clinical coordination, and professional coordination. Factor analysis of the provider questionnaire produced eight internally consistent (Cronbach’s alpha > 0.7) factors: person-centeredness, community centeredness, clinical coordination, professional coordination, organisational coordination, system coordination, technical and cultural competence. As hypothesised, care coordination patient and providers scores significantly correlated with questions about quality of care, treatment involvement, reported health, clinics’ organisational readiness, and external care coordination capacity.

Conclusion

This study provides evidence for the reliability and validity of the RMIC patient and provider questionnaires as generic tools to assess the experience with or perception of integrated renal care delivery. The instruments are recommended in future applications testing test-retest reliability, convergent and predictive validity, and responsiveness.

Klíčová slova:

Medicine and health sciences – Nephrology – Chronic kidney disease – Medical dialysis – Biology and life sciences – Psychology – Psychometrics – Social sciences – Sociology – Culture – Research and analysis methods – Mathematical and statistical techniques – Statistical methods – Factor analysis – Research assessment – Research validity – Research design – Survey research – Questionnaires – Physical sciences – Mathematics – Statistics – Algebra – Linear algebra – Eigenvalues


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2019 Číslo 9

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