A Validation Study of the Rainbow Model of Integrated Care-Measurement Tool for Patients in China

Abstract Background: The original Rainbow Model of Integrated Care Measurement Tool (RMIC-MT) is based on the Rainbow Model of Integrated Care (RMIC), which provides a comprehensive theoretical framework for integrated care. To translate and adapt the original care provider version of the RMIC-MT and evaluate its psychometric properties by a pilot study in Chinese primary care systems.Methods: The translation and adaptation process were performed in four steps, forward and back-translation, experts review and pre-testing. We conducted a cross-sectional study with 1610 community care professionals in all 79 community health stations in the Nanshan district. We analyzed the distribution of responses to each item to study the psychometric sensitivity. Exploratory factor analysis with principal axis extraction method and promax rotation was used to assess the construct validity. Cronbach’s alpha was utilized to ascertain the internal consistency reliability. Lastly, confirmation factor analysis was used to evaluate the exploratory factor analysis model fit.Results: During the translation and adaptation process, all 48 items were retained with some detailed modifications. No item was found to have psychometric sensitivity problems. Six factors (person- & community-centeredness, care integration, professional integration, organizational integration, cultural competence and technical competence) with 45 items were determined by exploratory factor analysis, accounting for 61.46% of the total variance. A standard Cronbach’s alpha of 0.940 and significant correlation among all items in the scale (>0.4) showed good internal consistency reliability of the tool. And, the model passed the majority of goodness-to-fit test by confirmation factor analysis Conclusions: The results showed initial satisfactory psychometric properties for the validation of the Chinese RMIC-MT provider version. Its application in China will promote the development of people-centered integrated primary care. However, further psychometric testing is needed in multiple primary care settings with both public and private community institutes.

Download Full-text

Validating the Rainbow Model of Integrated Care Measurement Tool: results from three pilot studies in The Netherlands, Singapore and Australia

International Journal of Integrated Care ◽

10.5334/ijic.3203 ◽

2017 ◽

Vol 17 (3) ◽

pp. 91 ◽

Cited By ~ 4

Author(s):

Pim Peter Valentijn ◽

Lisa Angus ◽

Inge Boesveld ◽

Milawaty Nurjono ◽

Dirk Ruwaard ◽

...

Keyword(s):

The Netherlands ◽

Integrated Care ◽

Measurement Tool ◽

Pilot Studies

Download Full-text

The Organizational Climate for Sustainable Commuting: An Italian Validation Study in the Academic Sector

Sustainability ◽

10.3390/su13169215 ◽

2021 ◽

Vol 13 (16) ◽

pp. 9215

Author(s):

Guido Martinolli ◽

Marco de Angelis ◽

Núria Tordera ◽

Luca Pietrantoni

Keyword(s):

Organizational Climate ◽

Validation Study ◽

Measurement Tool ◽

Valuable Contribution ◽

Organizational Environments ◽

Language Data ◽

New Perspective ◽

Climate Crisis ◽

Unidimensional Structure ◽

Academic Sector

Promoting sustainable commuting represents a valuable contribution to tackle the climate crisis, and organizations could act as frontrunners in this regard. Accordingly, conceptualizing and measuring how organizational environments contribute to sustainable commuting has become relevant. This study aims to conceptualize and operationalize the construct of Organizational Climate for Sustainable Commuting (OCSC) and validate the OCSC scale in the Italian language. Data were gathered in an Italian university from 8542 participants. The validation was based on EFA and CFA, reliability, and aggregation indices analyses. To validate the scale, convergent, discriminant, internal construct, and criterion validities were assessed. Results confirmed a unidimensional structure of the tool, satisfactory reliability, justified aggregation, and provided evidence for validity. The proposed concept and scale offer a new perspective and measurement tool to be used when promoting sustainable commuting in the workplace is the objective.

Download Full-text

An Instrument to Measure Maturity of Integrated Care: A First Validation Study

International Journal of Integrated Care ◽

10.5334/ijic.3063 ◽

2018 ◽

Vol 18 (1) ◽

pp. 10 ◽

Cited By ~ 8

Author(s):

Liset Grooten ◽

Liesbeth Borgermans ◽

Hubertus J.M. Vrijhoef

Keyword(s):

Integrated Care ◽

Validation Study

Download Full-text

Evaluation of Accountability Measurement Tool in Patients with Psoriasis: A Validation Study

Dermatology and Therapy ◽

10.1007/s13555-020-00376-w ◽

2020 ◽

Vol 10 (3) ◽

pp. 495-502

Author(s):

Jennifer J. Su ◽

Abigail Cline ◽

Arjun M. Bashyam ◽

E. J. Masicampo ◽

Edward H. Ip ◽

...

Keyword(s):

Validation Study ◽

Measurement Tool

Download Full-text

Validation of the care providers version of the Rainbow Model of Integrated Care-measurement tool in Chinese primary care systems

BMC Health Services Research ◽

10.1186/s12913-020-05562-2 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Yixiang Huang ◽

Paiyi Zhu ◽

Lijin Chen ◽

Xin Wang ◽

Pim Valentijn

Keyword(s):

Primary Care ◽

Integrated Care ◽

Measurement Tool ◽

Care Providers ◽

Care Systems

Download Full-text

Mixed-method evaluation of CARITAS: a hospital-to-community model of integrated care for dementia

BMJ Open ◽

10.1136/bmjopen-2020-039017 ◽

2020 ◽

Vol 10 (10) ◽

pp. e039017

Author(s):

Ngoc Huong Lien Ha ◽

Ivana Chan ◽

Philip Yap ◽

Milawaty Nurjono ◽

Hubertus J M Vrijhoef ◽

...

Keyword(s):

Integrated Care ◽

Functional Integration ◽

Healthcare Providers ◽

Tertiary Hospital ◽

Northern Region ◽

Secondary Outcome ◽

Measurement Tool ◽

Design Development ◽

Shared Information ◽

Integration Mechanisms

ObjectivesThe capability and capacity of the primary and community care (PCC) sector for dementia in Singapore may be enhanced through better integration. Through a partnership involving a tertiary hospital and PCC providers, an integrated dementia care network (CARITAS: comprehensive, accessible, responsive, individualised, transdisciplinary, accountable and seamless) was implemented. The study evaluated the process and extent of integration within CARITAS.DesignTriangulation mixed-methods design and analyses were employed to understand factors underpinning network mechanisms.SettingThe study was conducted at a tertiary hospital in the northern region of Singapore.ParticipantsWe recruited participants who were involved in the conceptualisation, design, development and implementation of the CARITAS Programme from a tertiary hospital and PCC providers.InterventionWe used the Rainbow Model of Integrated Care-Measurement Tool (RMIC-MT) to assess integration from managerial perspectives. RMIC-MT comprises eight dimensions that play interconnected roles on a macro-level, meso-level and micro-level. We administered RMIC-MT to healthcare providers and conducted in-depth interviews with key CARITAS stakeholders.Primary and secondary outcome measuresWe assessed integration scores across eight dimensions of the RMIC-MT and factors underpinning network mechanisms.ResultsCompared with other dimensions, functional integration (mechanisms by which information and management modalities are linked) achieved the lowest mean score of 55. Other dimensions (eg, clinical, professional and organisational integration) scored about 70. Presence of inspiring clinical leaders and tacit interdependencies among partners strengthened the network. However, the lack of structured documentation and a shared information-technology platform hindered functional integration.ConclusionCARITAS has reached maturity in micro-levels and meso-levels of integration, while macro-integration needs further development. Integration can be enhanced by assessing service gaps, increasing engagement with stakeholders and providing a shared communication system.

Download Full-text