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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 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. [ABSTRACT FROM AUTHOR]

Introduction: Implementing integrated care in primary care settings is essential to establish a sustainable health care system for older adults living at home. Measuring integrated care performance facilitates implementation and improvement of integrated care services in daily practice, yet valid instruments are still lacking. Based on the Rainbow Model of Integrated Care (RMIC) a measurement tool (MT) has been validated for renal care patients and care providers. In the present study we aimed to validate the RMIC-MT for healthcare professionals working in an integrated primary elderly care setting. Theory/Methods: The RMIC-MT is a 36-item questionnaire, covering all aspects of integrated care according to the RMIC. Per integration domain professionals are asked to rate a set of questions. In a cross-sectional study, the RMIC-MT was sent to local networks of primary elderly care professionals in the Netherlands by email between February 2020 and February 2021. Confirmatory factor analysis (CFA) was used to build upon the previous results of the RMIC-MT for renal care by using the standard fit indices: root-mean-square error of approximation (RMSEA) (=0.06), standardized root-mean-square residual (SRMR) (=0.08), comparative fit index (CFI) (=0.90) and Tucker-Lewis index (TLI) (=0.90). Maximum likelihood was used to estimate the model parameters and goodness-of-fit indices. Results: 323 professionals filled out the RMIC-MT, the majority were general practitioners, community nurses, practice nurses and case managers. Median time needed to complete the RMIC-MT was 14 minutes. Some professionals did not complete the questionnaire because the questionnaire was too long or perceived as irrelevant. The model passed the goodness-to-fit test by confirmatory factor analysis: RMSEA=0.046, SRMR=0.055, CFI=0.895, TLI=0.882. The factor structure of 9 categories with a total of 36 items was thereby confirmed. Conclusions: We successfully validated the RMIC-MT for the primary elderly care setting. We adjusted the name of one category from 'triple aim' to 'outcome measurements'. Application of the RMIC-MT enables professional networks in this setting to evaluate and improve their care integration and contribute to better quality and more sustainable primary elderly care. Implications for applicability/transferability, sustainability, and limitations: The sample size was small but sufficient for the CFA. Recruitment was difficult which may reflect difficulties in future use in daily practice. The RMIC-MT was considered too long by some professionals. Developing a shorter version may be a promising strategy to increase completion in daily practice. RMIC-MT application can enable professionals to improve people-centered integrated primary care by using the feedback reports for improvement plans. Feasibility and added value of the tool should be studied after this small-scale implementation. Broader implementation of the RMIC-MT for elderly care should be investigated, including other contexts and countries. [ABSTRACT FROM AUTHOR]