Effectiveness of Integrated Care for Diabetes Mellitus Type 2, Cardiovascular and Chronic Respiratory Diseases: A Systematic Review and Meta-Analysis.

Introduction: In this paper, we use the Rainbow Model of Integrated Care (RMIC) framework to evaluate the effectiveness of integrated care in terms of enhancing the outcomes of chronic conditions such as diabetes mellitus type 2 (DMT2), cardiovascular diseases (CVD), chronic respiratory diseases (CRD), or their combinations. Methods: The data extracted from randomized controlled trials (RCT) of integrated care interventions for DMT2, CVD, and CRD (follow-up ≥ 3 months) in 11 databases were analysed using random-effects meta-analysis. Results: A total of 54 eligible studies covering 12,976 participants, with a mean follow-up of 54 weeks, were included. In moderate-quality evidence, integrated care interventions reduced mortality for CVD, adverse events for CVD and DMT2, and improved quality of life for CVD and DMT2, physical and mental functioning, self-management, and blood pressure control. Conclusion: Integrated care can reduce all-cause mortality, adverse events, and improve quality of life, physical and mental functioning, self-management and blood pressure control in chronic disease patients. However, available evidence for some outcomes (e.g., all-cause hospital admissions) remains uncertain.

Elements of organisation of integrated maternity care and their associations with outcomes: a scoping review protocol.

INTRODUCTION: Integrated care is seen as an enabling strategy in organising healthcare to improve quality, finances, personnel and sustainability. Developments in the organisation of maternity care follow this trend. The way care is organised should support the general aims and outcomes of healthcare systems. Organisation itself consists of a variety of smaller 'elements of organisation'. Various elements of organisation are implemented in different organisations and networks. We will examine which elements of integrated maternity care are associated with maternal and neonatal health outcomes, experiences of women and professionals, healthcare spending and care processes. METHODS AND ANALYSIS: We will conduct this review using the JBI methodology for scoping reviews and the reporting guideline PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews). We will undertake a systematic search in the databases PubMed, Scopus, Cochrane and PsycINFO. A machine learning tool, ASReview, will be used to select relevant papers. These papers will be analysed and classified thematically using the framework of the Rainbow Model of Integrated Care (RMIC). The Population Concept Context framework for scoping reviews will be used in which 'Population' is defined as elements of the organisation of integrated maternity care, 'Context' as high-income countries and 'Concepts' as outcomes stated in the objective of this review. We will include papers from 2012 onwards, in Dutch or English language, which describe both 'how the care is organised' (elements) and 'outcomes'. ETHICS AND DISSEMINATION: Since this is a scoping review of previously published summary data, ethical approval for this study is not needed. Findings will be published in a peer-reviewed international journal, discussed in a webinar and presented at (inter)national conferences and meetings of professional associations.The findings of this scoping review will give insight into the nature and effectiveness of elements of integrated care and will generate hypotheses for further research.

Validation of the Rainbow Model of Integrated Care Measurement Tool in Parkinson's Disease.

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.

Construct Validation of the Rainbow Model of Integrated Care Measurement Tool in Dutch Primary Care for Older Adults.

Introduction: Care integration in primary elderly care is suboptimal. Validated instruments are needed to enable the implementation of integrated primary care. We aimed to assess construct validity of the Rainbow Model of Integrated Care measurement tool (RMIC-MT) for healthcare professionals working in an integrated primary elderly care setting in the Netherlands. Methods: In a cross-sectional study, the RMIC-MT, a 36-item questionnaire covering all domains of the Rainbow Model of Integrated Care (RMIC), was sent out to local networks of primary elderly care professionals. Confirmatory factor analysis with maximum likelihood estimation was used for the validation of the factor structure of the RMIC-MT. Model fit was assessed by the chi-square test and fit indices. Results: The RMIC-MT was completed by 323 professionals, primarily general practitioners, community nurses, practice nurses, and case managers. Confirmatory factor analysis and corresponding fit indices showed moderate to good fit, thereby confirming a nine factor model with a total of 36 items. Conclusions: The RMIC-MT is promising for the primary elderly care setting in the Netherlands. It can be used for evaluating integrated care initiatives in a primary care setting, thereby contributing to implementation of integrated primary elderly care.

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.

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.

Digital Health Interventions for Musculoskeletal Pain Conditions: Systematic Review and Meta-analysis of Randomized Controlled Trials.

BACKGROUND: Digital health solutions can provide populations with musculoskeletal pain with high-reach, low-cost, easily accessible, and scalable patient education and self-management interventions that meet the time and resource restrictions. OBJECTIVE: The main objective of this study was to determine the effectiveness of digital health interventions for people with musculoskeletal pain conditions (ie, low back pain, neck pain, shoulder pain, knee pain, elbow pain, ankle pain, and whiplash). METHODS: A systematic review and meta-analysis was conducted. We searched PubMed and Cochrane Central Register of Controlled Trials (from 1974 to August 2021) and selected randomized controlled trials of digital health interventions in the target population of patients with musculoskeletal pain with a minimum follow-up of 1 month. A total of 2 researchers independently screened and extracted the data. RESULTS: A total of 56 eligible studies were included covering 9359 participants, with a mean follow-up of 25 (SD 15.48) weeks. In moderate-quality evidence, digital health interventions had a small effect on pain (standardized mean difference [SMD] 0.19, 95% CI 0.06-0.32), disability (SMD 0.14, 95% CI 0.03-0.25), quality of life (SMD 0.22, 95% CI 0.07-0.36), emotional functioning (SMD 0.24, 95% CI 0.12-0.35), and self-management (SMD 0.14, 95% CI 0.05-0.24). CONCLUSIONS: Moderate-quality evidence supports the conclusion that digital health interventions are effective in reducing pain and improving functioning and self-management of musculoskeletal pain conditions. Low-quality evidence indicates that digital health interventions can improve the quality of life and global treatment. Little research has been conducted on the influence of digital health on expenses, knowledge, overall improvement, range of motion, muscle strength, and implementation fidelity. TRIAL REGISTRATION: PROSPERO CRD42022307504; https://tinyurl.com/2cd25hus.

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

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.

Cross-sectional study evaluating the association between integrated care and health-related quality of life (HRQOL) in Dutch primary care.

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.

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

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.

How Do Type 2 Diabetes Patients Value Urban Integrated Primary Care in China? Results of a Discrete Choice Experiment.

Objectives: Fragmented healthcare in China cannot meet the needs of the growing number of type 2 diabetes patients. The World Health Organization proposed an integrated primary care approach to address the needs of patients with chronic conditions. This study aims to measure type 2 diabetes patients' preferences for urban integrated primary care in China. Methods: A discrete choice experiment was designed to measure type 2 diabetes patient preferences for seven priority attributes of integrated care. A two-stage sampling survey of 307 type 2 diabetes mellitus (T2DM) patients in 16 community health stations was carried out. Interviews were conducted to explore the reasons underpinning the preferences. A logit regression model was used to estimate patients' willingness to pay and to analyze the expected impact of potential policy changes. Results: Travel time to care providers and experience of care providers are the most valued attributes for respondents rather than out-of-pocket cost. Attention to personal situation, the attentiveness of care providers, and the friendliness and helpfulness of staff were all related to interpersonal communication between patients and health care providers. Accurate health information and multidisciplinary care were less important attributes. Conclusions: The study provides an insight into type 2 diabetes patients' needs and preferences of integrated primary care. People-centered interventions, such as increasing coverage by family doctor and cultivating mutual continuous relationships appear to be key priorities of policy and practice in China.

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 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.

Validation of the Rainbow Model of Integrated Care Measurement Tools (RMIC-MTs) in renal care for patient and care providers.

INTRODUCTION: Integrated service delivery is considered to be an essential condition for improving the management and health outcomes of people with chronic kidney disease (CKD). However, research on the assessment of integrated care by patients and care providers is hindered by the absence of brief, reliable, and valid measurement tools. OBJECTIVE: The aim of this study was to develop survey instruments for healthcare professionals and patients based on the Rainbow Model of Integrated Care (RMIC), and to evaluate their psychometric properties. DESIGN: The development process was based on the US Food and Drug Administration guidelines. This included item generation from systematic reviews of existing tools and expert opinion on clarity and content validity, involving renal care providers and chronic kidney patients. A cross-sectional, multi-centre design was used to test for internal consistency and construct validity. SETTING: Outpatient clinics in a large renal network. PARTICIPANTS: A sample of 30.788 CKD patients, and 8.914 renal care providers. METHODS AND ANALYSIS: Both survey instruments were developed using previous qualitative work and published literature. A multidisciplinary expert panel assessed the face and content validity of both instruments and following a pilot study, the psychometric properties of both instruments were explored. Exploratory factor analysis with principal axis factoring and with promax rotation was used to assess the underlying dimensions of both instruments; Cronbach's alpha was used to determine the internal constancy reliability. RESULTS: 17.512 patients (response rate: 56.9%) and 8.849 care providers (response rate: 69.5%) responded to the questionnaires. Factor analysis of the patient questionnaire yielded three internally consistent (Cronbach's alpha > 0.7) factors: person-centeredness, clinical coordination, and professional coordination. Factor analysis of the provider questionnaire produced eight internally consistent (Cronbach's alpha > 0.7) factors: person-centeredness, community centeredness, clinical coordination, professional coordination, organisational coordination, system coordination, technical and cultural competence. As hypothesised, care coordination patient and providers scores significantly correlated with questions about quality of care, treatment involvement, reported health, clinics' organisational readiness, and external care coordination capacity. CONCLUSION: This study provides evidence for the reliability and validity of the RMIC patient and provider questionnaires as generic tools to assess the experience with or perception of integrated renal care delivery. The instruments are recommended in future applications testing test-retest reliability, convergent and predictive validity, and responsiveness.

People-centred integrated care in urban China.

In most countries, the demand for integrated care for people with chronic diseases is increasing as the population ages. This demand requires a fundamental shift of health-care systems towards more integrated service delivery models. To achieve this shift in China, the World Health Organization, the World Bank and the Chinese government proposed a tiered health-care delivery system in accordance with a people-centred integrated care model. The approach was pioneered in Luohu district of Shenzhen city from 2015 to 2017 as a template for practice. In September 2017, China's health ministry introduced this approach to people-centred integrated care to the entire country. We describe the features of the Luohu model in relation to the core action areas and implementation strategies proposed and we summarize data from an evaluation of the first two years of the programme. We discuss the challenges faced during implementation and the lessons learnt from it for other health-care systems. We consider how to improve collaboration between institutions, how to change the population's behaviour about using community health services as the first point of contact and how to manage resources effectively to avoid budget deficits. Finally, we outline next steps of the Luohu model and its potential application to strengthen health care in other urban health-care systems.

Dans la plupart des pays, la demande de soins intégrés pour les personnes atteintes de maladies chroniques augmente à mesure que la population vieillit. Cette demande nécessite une réorientation majeure des systèmes de soins de santé vers des dispositifs de prestation de services plus intégrés. Pour effectuer cette réorientation en Chine, l'Organisation mondiale de la Santé, la Banque mondiale et le gouvernement chinois ont proposé un système de soins de santé à plusieurs niveaux selon un dispositif de soins intégrés axés sur l'être humain. Cette approche a été utilisée pour la première fois dans le district de Luohu de la ville de Shenzhen de 2015 à 2017 en tant que modèle de pratique. En septembre 2017, le ministère chinois de la Santé a appliqué à l'ensemble du pays ce dispositif de soins intégrés axés sur l'être humain. Nous décrivons les caractéristiques du modèle de Luohu par rapport aux principaux domaines d'action et aux stratégies de mise en œuvre proposées et nous résumons les données extraites d'une évaluation des deux premières années du programme. Nous examinons les difficultés rencontrées lors de la mise en œuvre et les leçons tirées de ces difficultés pour d'autres systèmes de soins de santé. Nous réfléchissons aux moyens d'améliorer la collaboration entre les institutions, de changer le comportement de la population concernant l'utilisation des services de santé des collectivités comme premier point de contact et de gérer efficacement les ressources pour éviter les déficits budgétaires. Enfin, nous décrivons les prochaines étapes à suivre dans le cadre du modèle de Luohu et son application potentielle pour renforcer les soins de santé dans d'autres systèmes urbains de soins de santé.

En la mayoría de los países, la demanda de atención integrada para las personas con enfermedades crónicas aumenta a medida que la población envejece. Esta demanda requiere un cambio fundamental de los sistemas de atención sanitaria hacia modelos de prestación de servicios más integrados. Para lograr este cambio en China, la Organización Mundial de la Salud, el Banco Mundial y el gobierno chino propusieron un sistema escalonado de prestación de servicios sanitarios de acuerdo con un modelo de atención integrada centrada en las personas. El enfoque se introdujo en el distrito de Luohu de la ciudad de Shenzhen de 2015 a 2017 como modelo para la práctica. En septiembre de 2017, el Ministerio de Salud de China introdujo este enfoque de atención integrada centrada en las personas en todo el país. Se describen las características del modelo de Luohu en relación con las áreas centrales de acción y las estrategias de implementación propuestas y se resumen los datos de una evaluación de los dos primeros años del programa. Se exponen los desafíos enfrentados durante la implementación y las lecciones aprendidas de la misma para otros sistemas de atención sanitaria. Se considera cómo mejorar la colaboración entre las instituciones, cómo cambiar el comportamiento de la población sobre el uso de los servicios sanitarios comunitarios como primer punto de contacto y cómo gestionar eficazmente los recursos para evitar déficits de presupuesto. Por último, se esbozaron los próximos pasos del modelo de Luohu y su posible aplicación para fortalecer la atención sanitaria en otros sistemas urbanos de atención sanitaria.

Do project management and network governance contribute to inter-organisational collaboration in primary care? A mixed methods study.

BACKGROUND: The need for organisational development in primary care has increased as it is accepted as a means of curbing rising costs and responding to demographic transitions. It is only within such inter-organisational networks that small-scale practices can offer treatment to complex patients and continuity of care. The aim of this paper is to explore, through the experience of professionals and patients, whether, and how, project management and network governance can improve the outcomes of projects which promote inter-organisational collaboration in primary care. METHODS: This paper describes a study of projects aimed at improving inter-organisational collaboration in Dutch primary care. The projects' success in project management and network governance was monitored by interviewing project leaders and board members on the one hand, and improvement in the collaboration by surveying professionals and patients on the other. Both qualitative and quantitative methods were applied to assess the projects. These were analysed, finally, using multi-level models in order to account for the variation in the projects, professionals and patients. RESULTS: Successful network governance was associated positively with the professionals' satisfaction with the collaboration; but not with improvements in the quality of care as experienced by patients. Neither patients nor professionals perceived successful project management as associated with the outcomes of the collaboration projects. CONCLUSIONS: This study shows that network governance in particular makes a difference to the outcomes of inter-organisational collaboration in primary care. However, project management is not a predictor for successful inter-organisational collaboration in primary care.

Elements of integrated care approaches for older people: a review of reviews.

OBJECTIVE: The World Health Organization (WHO) recently proposed an Integrated Care for Older People approach to guide health systems and services in better supporting functional ability of older people. A knowledge gap remains in the key elements of integrated care approaches used in health and social care delivery systems for older populations. The objective of this review was to identify and describe the key elements of integrated care models for elderly people reported in the literature. DESIGN: Review of reviews using a systematic search method. METHODS: A systematic search was performed in MEDLINE and the Cochrane database in June 2017. Reviews of interventions aimed at care integration at the clinical (micro), organisational/service (meso) or health system (macro) levels for people aged ≥60 years were included. Non-Cochrane reviews published before 2015 were excluded. Reviews were assessed for quality using the Assessment of Multiple Systematic Reviews (AMSTAR) 1 tool. RESULTS: Fifteen reviews (11 systematic reviews, of which six were Cochrane reviews) were included, representing 219 primary studies. Three reviews (20%) included only randomised controlled trials (RCT), while 10 reviews (65%) included both RCTs and non-RCTs. The region where the largest number of primary studies originated was North America (n=89, 47.6%), followed by Europe (n=60, 32.1%) and Oceania (n=31, 16.6%). Eleven (73%) reviews focused on clinical 'micro' and organisational 'meso' care integration strategies. The most commonly reported elements of integrated care models were multidisciplinary teams, comprehensive assessment and case management. Nurses, physiotherapists, general practitioners and social workers were the most commonly reported service providers. Methodological quality was variable (AMSTAR scores: 1-11). Seven (47%) reviews were scored as high quality (AMSTAR score ≥8). CONCLUSION: Evidence of elements of integrated care for older people focuses particularly on micro clinical care integration processes, while there is a relative lack of information regarding the meso organisational and macro system-level care integration strategies.

Person-Centered Integrated Care for Chronic Kidney Disease: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

BACKGROUND AND OBJECTIVES: The effectiveness of person-centered integrated care strategies for CKD is uncertain. We conducted a systematic review and meta-analysis of randomized, controlled trials to assess the effect of person-centered integrated care for CKD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We searched MEDLINE, Embase, and Cochrane Central Register of Controlled Trials (from inception to April of 2016), and selected randomized, controlled trials of person-centered integrated care interventions with a minimum follow-up of 3 months. Random-effects meta-analysis was used to assess the effect of person-centered integrated care. RESULTS: We included 14 eligible studies covering 4693 participants with a mean follow-up of 12 months. In moderate quality evidence, person-centered integrated care probably had no effect on all-cause mortality (relative risk [RR], 0.86; 95% confidence interval [95% CI], 0.68 to 1.08) or health-related quality of life (standardized mean difference, 0.02; 95% CI, -0.05 to 0.10). The effects on renal replacement therapy (RRT) (RR, 1.00; 95% CI, 0.65 to 1.55), serum creatinine levels (mean difference, 0.59 mg/dl; 95% CI, -0.38 to 0.36), and eGFR (mean difference, 1.51 ml/min per 1.73 m2; 95% CI, -3.25 to 6.27) were very uncertain. Quantitative analysis suggested that person-centered integrated care interventions may reduce all-cause hospitalization (RR, 0.38; 95% CI, 0.15 to 0.95) and improve BP control (RR, 1.20; 95% CI, 1.00 to 1.44), although the certainty of the evidence was very low. CONCLUSIONS: Person-centered integrated care may have little effect on mortality or quality of life. The effects on serum creatinine, eGFR, and RRT are uncertain, although person-centered integrated care may lead to fewer hospitalizations and improved BP control.

From micro to macro: assessing implementation of integrated care in Australia.

Many countries and health systems are pursuing integrated care as a means of achieving better outcomes. However, no standard approaches exist for comparing integration approaches across models or settings, and for evaluating whether the key components of integrated care are present in different initiatives. This study sheds light on how integrated care is being implemented in Australia, using a new tool to characterise and compare integration strategies at micro, meso and macro levels. In total, 114 staff from a purposive sample of 38 integrated care projects completed a survey based on the Rainbow Model of Integrated Care. Ten key informants gave follow-up interviews. Participating projects reported using multiple strategies to implement integrated care, but descriptions of implementation were often inconsistent. Micro-level strategies, including clinical-professional service coordination and person-centred care, were most commonly reported. A common vision was often described as an essential foundation for joint work. However, performance feedback appeared under-utilised, as did strategies requiring macro-level action such as data linkages or payment reform. The results suggest that current integrated care efforts are unevenly weighted towards micro-level strategies. Increased attention to macro-level strategies may be warranted in order to accelerate progress and sustain integrated care in Australia.

An Approach to measuring Integrated Care within a Maternity Care System: Experiences from the Maternity Care Network Study and the Dutch Birth Centre Study.

INTRODUCTION: Integrated care is considered to be a means to reduce costs, improve the quality of care and generate better patient outcomes. At present, little is known about integrated care in maternity care systems. We developed questionnaires to examine integrated care in two different settings, using the taxonomy of the Rainbow Model of Integrated Care. The aim of this study was to explore the validity of these questionnaires. METHODS: We used data collected between 2013 and 2015 from two studies: the Maternity Care Network Study (634 respondents) and the Dutch Birth Centre Study (56 respondents). We assessed the feasibility, discriminative validity, and reliability of the questionnaires. RESULTS: Both questionnaires showed good feasibility (overall missing rate < 20%) and reliability (Cronbach's Alpha coefficient > 0.70). Between-subgroups post-hoc comparisons showed statistically significant differences on integration profiles between regional networks (on all items, dimensions of integration and total integration score) and birth centres (on 50% of the items and dimensions of integration). DISCUSSION: Both questionnaires are feasible and can discriminate between sites with different integration profiles in The Netherlands. They offer an opportunity to better understand integrated care as one step in understanding the complexity of the concept.

A Prospective Validation Study of a Rainbow Model of Integrated Care Measurement Tool in Singapore.

INTRODUCTION: The conceptual ambiguity of the integrated care concept precludes a full understanding of what constitutes a well-integrated health system, posing a significant challenge in measuring the level of integrated care. Most available measures have been developed from a disease-specific perspective and only measure certain aspects of integrated care. Based on the Rainbow Model of Integrated Care, which provides a detailed description of the complex concept of integrated care, a measurement tool has been developed to assess integrated care within a care system as a whole gathered from healthcare providers' and managerial perspectives. This paper describes the methodology of a study seeking to validate the Rainbow Model of Integrated Care measurement tool within and across the Singapore Regional Health System. The Singapore Regional Health System is a recent national strategy developed to provide a better-integrated health system to deliver seamless and person-focused care to patients through a network of providers within a specified geographical region. METHODS: The validation process includes the assessment of the content of the measure and its psychometric properties. CONCLUSION: If the measure is deemed to be valid, the study will provide the first opportunity to measure integrated care within Singapore Regional Health System with the results allowing insights in making recommendations for improving the Regional Health System and supporting international comparison.