AI Article Synopsis
- - The study aimed to evaluate the reliability and validity of a modified, shorter version of the Rainbow Model of Integrated Care measurement tool specifically for Australian healthcare settings.
- - Involving 56 healthcare providers in rural New South Wales, the tool's psychometric properties were analyzed through principal component analysis and Cronbach's alpha, yielding good results.
- - The final version of the tool reduced the original 35 items to 29, organized into four dimensions, confirming its effectiveness for assessing integrated care locally, with suggestions for future international validation.
Article Abstract
Objective: To assess the reliability and validity of a shortened version of the Rainbow Model of Integrated Care (RMIC) measurement tool (MT). The original version of the measurement tool has been modified (shortened) for the Australian context.
Design: Validation of the psychometric properties of the RMIC-MT.
Setting: Healthcare providers providing services to a geographically defined rural area in New South Wales (NSW), Australia.
Participants: A sample of 56 healthcare providers providing mental and physical healthcare.
Main Outcome Measures: The psychometric properties of the tool were tested using principal component analysis for validity and Cronbach's alpha for reliability.
Results: The tool was shown to have good validity and reliability. The 35 items used in the shortened version of the tool were reduced to 29 items grouped into four dimensions: community-governance orientation, normative integration, functional integration and clinical-professional coordination.
Conclusions: The shortened version of the RMIC-MT is a valid and reliable tool that evaluates integrated care from a healthcare provider's perspective in NSW, Australia. In order to assess the tool's appropriateness in an international context, future studies should focus on validating the tool in other healthcare settings.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937055 | PMC |
| http://dx.doi.org/10.1136/bmjopen-2018-027920 | DOI Listing |
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