In EDS ansehen

Exploring the psychometric properties of the Rainbow Model of Integrated Care measurement tool for care providers in Australia

Gespeichert in:
Bibliographische Detailangaben
Titel: Exploring the psychometric properties of the Rainbow Model of Integrated Care measurement tool for care providers in Australia
Autoren: Julian, Fares, Kon Shing Kenneth, Chung, Megan, Passey, Jo, Longman, Pim P, Valentijn, Value-based Healthcare (VBHC), Value-based Healthcare (VBHC)
Quelle: BMJ Open. 9(12)
Verlagsinformationen: European Respiratory Society.
Publikationsjahr: 2019
Beschreibung: 8
Schlagwörter: delivery of health care, integrated/methods, health personnel/statistics & numerical data, humans, New South Wales, psychometrics, reproducibility of results, surveys and questionnaires/statistics & numerical data, levering van gezondheidszorg, geïntegreerd/methoden, gezondheidspersoneel/statistieken en numerieke gegevens, mensen, Nieuw Zuid-Wales, psychometrie, reproduceerbaarheid van resultaten, vragenlijsten en enquêtes/statistieken & numerieke data, Healthy Ageing, Frailty and adequate care, Other, Health
Beschreibung: 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.
Publikationsart: article
Sprache: English
Zugangs-URL: https://research.hanze.nl/en/publications/3514f636-bed7-4aea-b551-aa715dc652ca
Verfügbarkeit: http://www.hbo-kennisbank.nl/en/page/hborecord.view/?uploadId=hanzepure:oai:research.hanze.nl:publications/3514f636-bed7-4aea-b551-aa715dc652ca
Dokumentencode: edshbo.hanzepure.oai.research.hanze.nl.publications.3514f636.bed7.4aea.b551.aa715dc652ca
Datenbank: HBO Kennisbank
Beschreibung
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.