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Exploring the psychometric properties of the Rainbow Model of Integrated Care measurement tool for care providers in Australia
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 t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937055/ https://www.ncbi.nlm.nih.gov/pubmed/31857296 http://dx.doi.org/10.1136/bmjopen-2018-027920 |
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author | Fares, Julian Chung, Kon Shing Kenneth Passey, Megan Longman, Jo Valentijn, Pim P |
author_facet | Fares, Julian Chung, Kon Shing Kenneth Passey, Megan Longman, Jo Valentijn, Pim P |
author_sort | Fares, Julian |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6937055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-69370552020-01-06 Exploring the psychometric properties of the Rainbow Model of Integrated Care measurement tool for care providers in Australia Fares, Julian Chung, Kon Shing Kenneth Passey, Megan Longman, Jo Valentijn, Pim P BMJ Open Health Services Research 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. BMJ Publishing Group 2019-12-18 /pmc/articles/PMC6937055/ /pubmed/31857296 http://dx.doi.org/10.1136/bmjopen-2018-027920 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Health Services Research Fares, Julian Chung, Kon Shing Kenneth Passey, Megan Longman, Jo Valentijn, Pim P Exploring the psychometric properties of the Rainbow Model of Integrated Care measurement tool for care providers in Australia |
title | Exploring the psychometric properties of the Rainbow Model of Integrated Care measurement tool for care providers in Australia |
title_full | Exploring the psychometric properties of the Rainbow Model of Integrated Care measurement tool for care providers in Australia |
title_fullStr | Exploring the psychometric properties of the Rainbow Model of Integrated Care measurement tool for care providers in Australia |
title_full_unstemmed | Exploring the psychometric properties of the Rainbow Model of Integrated Care measurement tool for care providers in Australia |
title_short | Exploring the psychometric properties of the Rainbow Model of Integrated Care measurement tool for care providers in Australia |
title_sort | exploring the psychometric properties of the rainbow model of integrated care measurement tool for care providers in australia |
topic | Health Services Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937055/ https://www.ncbi.nlm.nih.gov/pubmed/31857296 http://dx.doi.org/10.1136/bmjopen-2018-027920 |
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