Construct Validation of the Rainbow Model of Integrated Care Measurement Tool in Dutch Primary Care for Older Adults.

Autor: L Oostra D; Radboud university medical center, Radboud Institute for Health Sciences, Department of Geriatric Medicine, Nijmegen, The Netherlands., S Nieuwboer M; Radboud university medical center, Radboud Institute for Health Sciences, Department of Geriatric Medicine, Nijmegen, The Netherlands., H M Janssen J; Radboud university medical center, Radboud Institute for Health Sciences, Department of Geriatric Medicine, Nijmegen, The Netherlands., G M Olde Rikkert M; Radboud university medical center, Radboud Institute for Health Sciences, Department of Geriatric Medicine, Nijmegen, The Netherlands., P Valentijn P; Radboud university medical center, Radboud Institute for Health Sciences, Department of Geriatric Medicine, Nijmegen, The Netherlands., Perry M; Radboud university medical center, Radboud Institute for Health Sciences, Department of Geriatric Medicine, Nijmegen, The Netherlands.
Jazyk: angličtina
Zdroj: International journal of integrated care [Int J Integr Care] 2023 Feb 15; Vol. 23 (1), pp. 9. Date of Electronic Publication: 2023 Feb 15 (Print Publication: 2023).
DOI: 10.5334/ijic.6739
Abstrakt: Introduction: Care integration in primary elderly care is suboptimal. Validated instruments are needed to enable the implementation of integrated primary care. We aimed to assess construct validity of the Rainbow Model of Integrated Care measurement tool (RMIC-MT) for healthcare professionals working in an integrated primary elderly care setting in the Netherlands.
Methods: In a cross-sectional study, the RMIC-MT, a 36-item questionnaire covering all domains of the Rainbow Model of Integrated Care (RMIC), was sent out to local networks of primary elderly care professionals. Confirmatory factor analysis with maximum likelihood estimation was used for the validation of the factor structure of the RMIC-MT. Model fit was assessed by the chi-square test and fit indices.
Results: The RMIC-MT was completed by 323 professionals, primarily general practitioners, community nurses, practice nurses, and case managers. Confirmatory factor analysis and corresponding fit indices showed moderate to good fit, thereby confirming a nine factor model with a total of 36 items.
Conclusions: The RMIC-MT is promising for the primary elderly care setting in the Netherlands. It can be used for evaluating integrated care initiatives in a primary care setting, thereby contributing to implementation of integrated primary elderly care.
Competing Interests: The authors have no competing interests to declare.
(Copyright: © 2023 The Author(s).)
Databáze: MEDLINE
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