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Feng TL, Stoessl AJ, Harrison RA. Integrated Care in Neurology: The Current Landscape and Future Directions. Can J Neurol Sci 2024:1-9. [PMID: 38679923 DOI: 10.1017/cjn.2024.62] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
The rising burden of neurological disorders poses significant challenges to healthcare systems worldwide. There has been an increasing momentum to apply integrated approaches to the management of several chronic illnesses in order to address systemic healthcare challenges and improve the quality of care for patients. The aim of this paper is to provide a narrative review of the current landscape of integrated care in neurology. We identified a growing body of research from countries around the world applying a variety of integrated care models to the treatment of common neurological conditions. Based on our findings, we discuss opportunities for further study in this area. Finally, we discuss the future of integrated care in Canada, including unique geographic, historical, and economic considerations, and the role that integrated care may play in addressing challenges we face in our current healthcare system.
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Affiliation(s)
- Tanya L Feng
- Division of Neurology, The University of British Columbia, Vancouver, BC, Canada
| | - A Jon Stoessl
- Division of Neurology, The University of British Columbia, Vancouver, BC, Canada
- Pacific Parkinson's Research Centre, Vancouver, BC, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
| | - Rebecca A Harrison
- Division of Neurology, The University of British Columbia, Vancouver, BC, Canada
- British Columbia Cancer Agency, Vancouver, BC, Canada
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Wang X, Zheng C, Wang Y, Birch S, Huang Y, Valentijn P. Patients' and Care Professionals' Evaluation of the Effect of a Hospital Group on Integrated Care in Chinese Urban Health Systems: A Propensity Score Matching and Difference-in-differences Regression Approach. Int J Health Policy Manag 2023; 12:7897. [PMID: 38618775 PMCID: PMC10843371 DOI: 10.34172/ijhpm.2023.7897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 10/28/2023] [Indexed: 04/16/2024] Open
Abstract
BACKGROUND A hospital group is an organizational integration strategy that has recently been widely implemented in Chinese urban health systems to promote integrated care. This study aims to evaluate the effect of hospital group on integrated care from the perspectives of both patients and care professionals. METHODS Two cross-sectional surveys were conducted in Shenzhen city of China, in June 2018 and July 2021. All thirty Community Health Stations (CHSs) in the hospital group were included in the intervention group, with 30 CHSs in the same district selected as the control group by simple random sampling. All care professionals within both the intervention and the control groups were invited to participate in the surveys. Twelve CHSs were selected from 30 CHSs in the intervention and the control groups by simple random sampling, and 20 patients with type 2 diabetes mellitus (T2DM) were selected from each of these selected CHSs to participate in the survey by systematic sampling. The Rainbow Model of Integrated Care-Measurement Tool (Chinese version) was used to assess integrated care. Propensity score matching and difference-in-differences regression (PSM-DID) were used to evaluate the effect of the hospital group on integrated care. RESULTS After matching, 528 patients and 1896 care professionals were included in the DID analysis. Results from care professionals indicated that the hospital group significantly increased technical competence of the health system by 0.771 points, and cultural competence by 1.423 points. Results from patients indicated that the hospital group significantly decreased organizational integration of the health system by 0.649 points. CONCLUSION The results suggests that the effect of the hospital group on integrated care over and above routine strategies for integrated care is limited. Therefore, it is necessary to pay attention to implementing professional, clinical and other integration strategies beyond establishing hospital groups, in urban Chinese health systems.
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Affiliation(s)
- Xin Wang
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Caiyun Zheng
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Yao Wang
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Stephen Birch
- Centre for the Business and Economics of Health, University of Queensland, Brisbane, QLD, Australia
| | - Yixiang Huang
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Pim Valentijn
- Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
- Essenburgh Research & Consultancy, Essenburgh Group, Harderwijk, The Netherlands
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Valentijn PP, Eggers C, Bloem BR, Grimes D, Goldman J, McGinley J, Gardner J, Piemonte MEP, Dahodwala N, Brennan L, Iansek R, Kovacs N, Parashos S, Hilel A, Rajan R. Validation of the Rainbow Model of Integrated Care Measurement Tool in Parkinson's Disease. Mov Disord 2023. [PMID: 37148424 DOI: 10.1002/mds.29413] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 02/11/2023] [Accepted: 04/04/2023] [Indexed: 05/08/2023] Open
Abstract
BACKGROUND Integrated care is essential for improving the management and health outcomes for people with Parkinson's disease (PD); reliable and objective measures of care integration are few. OBJECTIVE The aim of this study was to test the psychometric properties of the Rainbow Model of Integrated Care Measurement Tool (RMIC-MT, provider version) for healthcare professionals involved in PD care. METHODS A cross-sectional survey was administered online to an international network representing 95 neurology centers across 41 countries and 588 healthcare providers. Exploratory factor analysis with principal axis extraction method was used to assess construct validity. Confirmatory factor analysis was used to evaluate model fit of the RMIC-MT provider version. Cronbach's alpha was used to assess the internal consistency reliability. RESULTS Overall, 371 care providers (62% response rate) participated in this study. No item had psychometric sensitivity problems. Nine factors (professional coordination, cultural competence, triple aims outcome, system coordination, clinical coordination, technical competence, community-centeredness, person-centeredness, and organizational coordination) with 42 items were determined by exploratory factor analysis. Cronbach's alpha ranged from 0.76 (clinical coordination) to 0.94 (system coordination) and showed significant correlation among all items in the scale (>0.4), indicating good internal consistency reliability. The confirmatory factor analysis model passed most goodness-of-fit tests, thereby confirming the factor structure of nine categories with a total of 40 items. CONCLUSIONS The results provide evidence for the construct validity and other psychometric properties of the provider version of the RMIC-MT to measure integrated care in PD. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Pim P Valentijn
- Department of Health Services Research, School for Public Health and Primary Care, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
- Essenburgh Research & Consultancy, Essenburgh Group, Harderwijk, the Netherlands
| | - Carsten Eggers
- Department of Neurology, University Hospital of Marburg, Center for Mind, Brain and Behavior, Universities Marburg and Giessen, Marburg, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Bastiaan R Bloem
- Scientific Center for Quality of Healthcare, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, the Netherlands
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - David Grimes
- Neurology, Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada
| | - Jennifer Goldman
- Parkinson's and Movement Disorders Shirley Ryan Ability Lab and Departments of Physical Medicine and Rehabilitation and Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Departments of Physical Medicine and Rehabilitation and Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jennifer McGinley
- Physiotherapy, The University of Melbourne, Parkville, Victoria, Australia
| | - Joan Gardner
- Struthers Parkinson's Center, HealthPartners, Minneapolis, Minnesota, USA
| | | | - Nabila Dahodwala
- Parkinson's Disease and Movement Disorders Center, Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Laura Brennan
- Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Robert Iansek
- Clinical Research Centre for Movement Disorders and Gait, Comprehensive Parkinson Care Program, Parkinson Foundation Centre of Excellence, Kington Centre Monash Health Cheltenham, Cheltenham, Australia
| | - Norbert Kovacs
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary
- ELKH-PTE Clinical Neuroscience MR Research Group, Pecs, Hungary
| | - Sotirios Parashos
- Struthers Parkinson's Center, HealthPartners, Minneapolis, Minnesota, USA
| | - Ariela Hilel
- Movement Disorders Center Unit, Neurology Division, Tel Aviv Medical Center, Tel Aviv, Israel
| | - Roopa Rajan
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
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Dambha-Miller H, Simpson G, Hobson L, Roderick P, Little P, Everitt H, Santer M. Integrated primary care and social services for older adults with multimorbidity in England: a scoping review. BMC Geriatr 2021; 21:674. [PMID: 34861831 PMCID: PMC8642958 DOI: 10.1186/s12877-021-02618-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 11/09/2021] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND As the prevalence of older adults with multimorbidity increases, greater integration of services is necessary to manage the physical and psycho-social needs of this cohort. This study describes and summarises current evidence, clinical provision and progress towards integrated primary care and social services for older adults with multimorbidity in England. METHODS A scoping review was conducted involving systematic searches of a range of electronic academic and policy databases. Articles were screened and extracted in duplicate by two independent reviewers. Data were extracted onto a charting sheet and thematic synthesis was used to summarise findings. Articles were included if published in English and related to primary care, social care and multimorbidity in older adults in England. Conceptually, the review was framed using the Rainbow Model of Integrated Care. RESULTS The search yielded 7656 articles of which 84 were included. Three themes were identified: (1) a focus on individual level services rather than multi-level or multi-sector integration, with an increasing emphasis on the need to consider broader determinants of population health as critical to integrated care for older adults with multimorbidity; (2) the need for policymakers to allow time for integration to embed, to enable new structures and relationships to develop and mature; and (3) the inherent tension between top-down and bottom-up driven approaches to integrated care requires a whole-systems structure, while allowing for local flexibilities. CONCLUSIONS There is limited evidence of multi-level and multi-sector integration of services for older adults with multimorbidity in England. The literature increasingly acknowledges wider determinants of population health that are likely to require integration beyond primary care and social services. Improving clinical care in one or two sectors may not be as effective as simultaneously improving the organisation or design across services as one single system of provision. This may take time to establish and will require local input.
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Affiliation(s)
- Hajira Dambha-Miller
- Primary Care Research Centre, University of Southampton, Aldermoor Health Centre, Aldermoor Close, Southampton, SO16 5ST, UK.
| | - Glenn Simpson
- Primary Care Research Centre, University of Southampton, Aldermoor Health Centre, Aldermoor Close, Southampton, SO16 5ST, UK
| | - Lucy Hobson
- Primary Care Research Centre, University of Southampton, Aldermoor Health Centre, Aldermoor Close, Southampton, SO16 5ST, UK
| | - Paul Roderick
- Department of Population Health, University of Southampton, Southampton, UK
| | - Paul Little
- Primary Care Research Centre, University of Southampton, Aldermoor Health Centre, Aldermoor Close, Southampton, SO16 5ST, UK
| | - Hazel Everitt
- Primary Care Research Centre, University of Southampton, Aldermoor Health Centre, Aldermoor Close, Southampton, SO16 5ST, UK
| | - Miriam Santer
- Primary Care Research Centre, University of Southampton, Aldermoor Health Centre, Aldermoor Close, Southampton, SO16 5ST, UK
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Chang B, Yang Y, Buitrago Leon GA, Lu Y. Effect of Collaborative Governance on Medical and Nursing Service Combination: An Evaluation Based on Delphi and Entropy Method. Healthcare (Basel) 2021; 9:healthcare9111456. [PMID: 34828502 PMCID: PMC8622114 DOI: 10.3390/healthcare9111456] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 10/15/2021] [Accepted: 10/20/2021] [Indexed: 12/04/2022] Open
Abstract
[Background]: Improvement of synergies in medical and nursing services can help governments to optimize the allocation of medical resources; however, an appropriate evaluation method is critical for a suitable decision process in this regard. [Method]: To assess the medical and nursing service combination (MNSC) at a regional level, this study applied a five-dimension evaluation index composed of 28 basic response areas related to the MNSC development status in China, determining its respective weight through the Delphi and entropy methods. [Result]: This empirical exercise analyzed the MNSC supply system by interviewing nine heads of medical and nursing institutions and eleven healthcare-related government personnel during August of 2020 in Xinxiang City, Henan province, P.R China. Results showed: (1) public satisfaction with the fees charged by Medical and Nursing service Institutions (MNSI); (2) Medicare and supply services’ policy publicity; (3) the external financing situation of MNSI; (4) the medical staff’s professional quality; (5) the medical facilities and supply of MNSI; and (6) that the recognition level of the development plan of MNSI scored the highest effect on the synergy of MNSC supply among the assessed factors. [Conclusion]: These results showed that an evaluation based on the Delphi and entropy methods can effectively integrate the opinions of experts and related institutions to evaluate synergies on the medical and nursing service supply.
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Affiliation(s)
- Beiquan Chang
- School of Public Policy and Management, Tsinghua University, Beijing 100084, China
- Correspondence: (B.C.); (Y.Y.)
| | - Yansui Yang
- School of Public Policy and Management, Tsinghua University, Beijing 100084, China
- Correspondence: (B.C.); (Y.Y.)
| | | | - Yuzhong Lu
- Glorious Sun School of Business, Donghua University, Shanghai 200051, China;
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Fares J, Chung KSK, Abbasi A. Stakeholder theory and management: Understanding longitudinal collaboration networks. PLoS One 2021; 16:e0255658. [PMID: 34648505 PMCID: PMC8516199 DOI: 10.1371/journal.pone.0255658] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 07/21/2021] [Indexed: 11/18/2022] Open
Abstract
This paper explores the evolution of research collaboration networks in the ‘stakeholder theory and management’ (STM) discipline and identifies the longitudinal effect of co-authorship networks on research performance, i.e., research productivity and citation counts. Research articles totaling 6,127 records from 1989 to 2020 were harvested from the Web of Science Database and transformed into bibliometric data using Bibexcel, followed by applying social network analysis to compare and analyze scientific collaboration networks at the author, institution and country levels. This work maps the structure of these networks across three consecutive sub-periods (t1: 1989–1999; t2: 2000–2010; t3: 2011–2020) and explores the association between authors’ social network properties and their research performance. The results show that authors collaboration network was fragmented all through the periods, however, with an increase in the number and size of cliques. Similar results were observed in the institutional collaboration network but with less fragmentation between institutions reflected by the increase in network density as time passed. The international collaboration had evolved from an uncondensed, fragmented and highly centralized network, to a highly dense and less fragmented network in t3. Moreover, a positive association was reported between authors’ research performance and centrality and structural hole measures in t3 as opposed to ego-density, constraint and tie strength in t1. The findings can be used by policy makers to improve collaboration and develop research programs that can enhance several scientific fields. Central authors identified in the networks are better positioned to receive government funding, maximize research outputs and improve research community reputation. Viewed from a network’s perspective, scientists can understand how collaborative relationships influence research performance and consider where to invest their decision and choices.
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Affiliation(s)
- Julian Fares
- Department of Management Studies, Adnan Kassar School of Business, Lebanese American University, Beirut, Lebanon
- * E-mail:
| | - Kon Shing Kenneth Chung
- School of Project Management, Faculty of Engineering, The University of Sydney, Sydney, Australia
| | - Alireza Abbasi
- School of Engineering and IT, University of New South Wales (UNSW), Canberra, Australia
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A Validation Study of the Rainbow Model of Integrated Care-Measurement Tool for Patients in China. Int J Integr Care 2021; 21:5. [PMID: 33976595 PMCID: PMC8064292 DOI: 10.5334/ijic.5603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Introduction: 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. The aim of this paper is to modify the original patient version of the RMIC-MT for the Chinese primary care context and validate its psychometric properties. Methods: The translation and adaptation processes were performed in four steps, forward and back-translation, experts review and pre-testing. We conducted a cross-sectional study with 386 patients with diabetes attending one of 20 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 was used to assess the construct validity. Confirmation factor analysis was used to evaluate model fit of the modified version. Cronbach’s alpha was used to ascertain the internal consistency reliability. Results: During the translation and adaptation process, all 24 items were retained with some detailed modifications. No item was found to have psychometric sensitivity problems. Five factors (person-centeredness, clinical integration, professional integration, team-based coordination, organizational integration) with 15 items were determined by exploratory factor analysis, accounting for 53.51% of the total variance. Good internal consistency was achieved with each item correlated the highest on an assigned subscale and Cronbach’s alpha score of 0.890. Moderately positive associations (r≥ 0.4, p<0.01) between the score of the scale and these correlations indicate good construct validity. Conclusions: The results showed initial satisfactory psychometric properties for the validation of the Chinese RMIC-MT patient version. Its application in China will promote the development of people-centered integrated primary care. However, future studies with diverse samples crossing regions would be needed to test its psychometric properties for the various Chinese primary care contexts.
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Valentijn PP, Kerkhoven M, Heideman J, Arends R. Cross-sectional study evaluating the association between integrated care and health-related quality of life (HRQOL) in Dutch primary care. BMJ Open 2021; 11:e040781. [PMID: 33811050 PMCID: PMC8023735 DOI: 10.1136/bmjopen-2020-040781] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVES The aim of this study was to evaluate the association between integrated care and health-related quality of life (HRQOL) in a primary care practice population. DESIGN A cross-sectional survey study. SETTING Primary care practice population. PARTICIPANTS A sample (n=5562) of patients in two general practitioner practices in the Netherlands. PRIMARY OUTCOME MEASURES The Rainbow Model of Integrated Care Measurement Tool patient version and EQ-5D was used to assess integrated service delivery and HRQOL. The association between integrated care and HRQOL groups was analysed using multivariate logistic regression. RESULTS Overall, 933 respondents with a mean age of 62 participated (20% response rate) in this study. The multivariate analysis revealed that positive organisational coordination experiences were linked to better HRQOL (OR=1.87, 95% CI 1.18 to 2.95), and less anxiety and depression problems (OR=0.36, 95% CI 0.20 to 0.63). Unemployment was associated with a poor HRQOL (OR=0.15, 95% CI 0.08 to 0.28). Ageing was associated with more mobility (OR=1.06, 95% CI 1.04 to 1.09), self-care (OR=1.06, 95% CI 1.02 to 1.11), usual activity (OR=1.03, 95% CI 1.01 to 1.05) and pain problems (OR=1.02, 95% CI 1.01 to 1.04). Being married improved the overall HRQOL (OR=1.60, 95% CI 1.13 to 2.26) and decreased anxiety and depression (OR=0.47, 95% CI 0.31 to 0.72). Finally, females had a poor overall HRQOL (OR=1.67, 95% CI 0.48 to 0.93) and more pain and discomfort problems (OR=1.47, 95% CI 1.11 to 1.95). CONCLUSION This study shows for the first time that organisational coordination activities are positively associated with HROQL of adult patients in a primary care context, adding to the evidence of an association between integrated care and HRQOL. Also, unemployment, ageing and being female are accumulating risk factors that should be considered when designing integrated primary care programmes. Further research is needed to explore how various integration types relate to HRQOL for people in local communities.
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Affiliation(s)
- Pim P Valentijn
- Department of Health Services Research, Maastricht University, Maastricht, The Netherlands
- Integrated Care Evaluation, Essenburgh Research & Consultancy, Hierden, The Netherlands
| | | | | | - Rosa Arends
- University of Applied Sciences Utrecht, Utrecht, The Netherlands
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Obeng IS, Ogamba IK. Service integration for improved diabetic and dental care: exploring an effective model for optimising health outcomes. JOURNAL OF INTEGRATED CARE 2020. [DOI: 10.1108/jica-07-2020-0048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThis study identifies and synthesizes existing literature on the integration of diabetic and dental services and explores a service integration model for optimising diabetic patient health outcomes and improving healthcare systems in low and middle-income countries.Design/methodology/approachPeer-reviewed literature that analysed the integration of health services regarding dental and medical services were reviewed. The articles were identified using the Academic Search Complete, Business Source Complete, CINAHL Complete, Google Scholar and MEDLINE databases and screened using the PRISMA guidelines.FindingsA total of 40 full-text articles were examined for eligibility out of which 26 were selected for analysis. Diabetes was shown to contribute significantly to the global disease burden and this is also reflected in most low and middle-income countries. It is found that the integration of medical and dental services could help alleviate this burden. Hence, locally adapted Rainbow-Modified Integrated Care model is proposed to fill this integration gap.OriginalityThe integration of dental and medical services has been proven to be useful in improving diabetic patient outcomes. Hence, the need to facilitate cross-professional collaboration between dentists and physicians cannot be overemphasised and this can be extended and locally adapted by different health systems across the world.Practice ImplicationsThe integration of dental and diabetic services using models such as the Rainbow Model of Integrated Care is recommended to optimise health outcomes of diabetic patients and enhancing service delivery, especially in resource-poor healthcare systems.
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Huang Y, Zhu P, Chen L, Wang X, Valentijn P. Validation of the care providers version of the Rainbow Model of Integrated Care-measurement tool in Chinese primary care systems. BMC Health Serv Res 2020; 20:727. [PMID: 32770995 PMCID: PMC7414573 DOI: 10.1186/s12913-020-05562-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 07/20/2020] [Indexed: 11/10/2022] Open
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.
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Affiliation(s)
- Yixiang Huang
- School of Public Health, Health Development Research Center, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Paiyi Zhu
- School of Public Health, Health Development Research Center, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Lijin Chen
- School of Public Health, Health Development Research Center, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Xin Wang
- School of Public Health, Health Development Research Center, Sun Yat-Sen University, Guangzhou, 510080, China.
| | - Pim Valentijn
- Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.,Integrated Care Evaluation, Essenburgh, Hierden, The Netherlands
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