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

Julian Fares; Kon Shing Kenneth Chung; Megan Passey; Jo Longman; Pim P. Valentijn

doi:10.1136/bmjopen-2018-027920

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

Julian Fares^*, Kon Shing Kenneth Chung, Megan Passey, Jo Longman, Pim P. Valentijn

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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.

Original language	English
Article number	027920
Number of pages	8
Journal	BMJ Open
Volume	9
Issue number	12
DOIs	https://doi.org/10.1136/bmjopen-2018-027920
Publication status	Published - Dec 2019

Keywords

HEALTH-CARE

Access to Document

10.1136/bmjopen-2018-027920Licence: CC BY-NC

Cite this

@article{9333cd42d4774f888a1ada0b86574362,

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

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.",

keywords = "HEALTH-CARE",

author = "Julian Fares and Chung, {Kon Shing Kenneth} and Megan Passey and Jo Longman and Valentijn, {Pim P.}",

note = "Funding Information: In conclusion, we have described the validation process of a shortened version of the RMIC measurement tool within the Australian context. The results show that the tool has good validity and reliability with the number of questionnaire items reduced from 50 to 29 items, grouped into four integration dimensions: community-governance orientation, normative integration, functional integration and clinical-professional coordination. This shortened version of the RMIC measurement tool can be used to measure integrated care in different health settings from the perspective of healthcare services. This study contributes towards achieving an integrated care tool that can be applicable on an international level. 34 The authors would like to thank Maria Horseman for her contribution during the data collection process. The assistance of the integrated care project team in identifying and recruiting the participants is greatly acknowledged. Contributors All of the authors drafted the manuscript and contributed to the data analysis. JF drafted the first version of the paper and led the data collection process under the supervision of KSKC, MP and JL. MP amended the preliminary Australian version of the measurement tool to ensure applicability to clinicians in the Australian healthcare system. PPV contributed decisively in the development of the measurement instrument and in the interpretation of the results. JL and MP determined the study design and setting and provided executive leadership throughout the entire study. KSKC and JF provided methodological expertise in analysing the psychometric properties of the instrument. All of the authors critically reviewed the manuscript and approved the final version. Funding This work was supported by funding from the Mid North Coast Local Health District of NSW, Australia. No grant number was issued. Competing interests None declared. Ethics approval Ethics approval was obtained from the relevant Local Health District{\textquoteright}s Human Research Ethics Committee. Provenance and peer review Not commissioned; externally peer reviewed. Data sharing statement No additional data available. Patient consent for publication Not required. Publisher Copyright: {\textcopyright} {\textcopyright} 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.",

year = "2019",

month = dec,

doi = "10.1136/bmjopen-2018-027920",

language = "English",

volume = "9",

journal = "BMJ Open",

issn = "2044-6055",

publisher = "BMJ Publishing Group",

number = "12",

}

TY - JOUR

T1 - Exploring the psychometric properties of the Rainbow Model of Integrated Care measurement tool for care providers in Australia

AU - Fares, Julian

AU - Chung, Kon Shing Kenneth

AU - Passey, Megan

AU - Longman, Jo

AU - Valentijn, Pim P.

N1 - Funding Information: In conclusion, we have described the validation process of a shortened version of the RMIC measurement tool within the Australian context. The results show that the tool has good validity and reliability with the number of questionnaire items reduced from 50 to 29 items, grouped into four integration dimensions: community-governance orientation, normative integration, functional integration and clinical-professional coordination. This shortened version of the RMIC measurement tool can be used to measure integrated care in different health settings from the perspective of healthcare services. This study contributes towards achieving an integrated care tool that can be applicable on an international level. 34 The authors would like to thank Maria Horseman for her contribution during the data collection process. The assistance of the integrated care project team in identifying and recruiting the participants is greatly acknowledged. Contributors All of the authors drafted the manuscript and contributed to the data analysis. JF drafted the first version of the paper and led the data collection process under the supervision of KSKC, MP and JL. MP amended the preliminary Australian version of the measurement tool to ensure applicability to clinicians in the Australian healthcare system. PPV contributed decisively in the development of the measurement instrument and in the interpretation of the results. JL and MP determined the study design and setting and provided executive leadership throughout the entire study. KSKC and JF provided methodological expertise in analysing the psychometric properties of the instrument. All of the authors critically reviewed the manuscript and approved the final version. Funding This work was supported by funding from the Mid North Coast Local Health District of NSW, Australia. No grant number was issued. Competing interests None declared. Ethics approval Ethics approval was obtained from the relevant Local Health District’s Human Research Ethics Committee. Provenance and peer review Not commissioned; externally peer reviewed. Data sharing statement No additional data available. Patient consent for publication Not required. Publisher Copyright: © © 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.

PY - 2019/12

Y1 - 2019/12

N2 - 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.

AB - 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.

KW - HEALTH-CARE

U2 - 10.1136/bmjopen-2018-027920

DO - 10.1136/bmjopen-2018-027920

M3 - Article

C2 - 31857296

SN - 2044-6055

VL - 9

JO - BMJ Open

JF - BMJ Open

IS - 12

M1 - 027920

ER -