Abstract Introduction: Both in literature and in practice there is debate about defining Integrated Care. The WHO for example, defines Integrated Care as a process, not covering the perspective of (cost-) effectiveness. From the perspective of research into evidence in Integrated Care this is rather awkward. Triple aim focusses on 1) quality of life of citizens; 2) quality and continuity of care and, 3) cost effective care. Integrated Care is aimed at well-organized, cost-effective processes of care delivery, provided by committed professionals which must be able to count on well-established evidence for the care interventions they provide in integrated trajectories to their patients. Research should support them both with evidence for effective interventions and evidence for effective application. A basis for thorough research in Integrated Care is narrowed by a lack of a comprehensive definition. Theory/Methods: Since Integrated Care is considered as sets of complex interventions targeting triple aim, we compared definitions of Integrated Care reported in literature with a definition of complex interventions and a model for evidence based developing, testing and implementing complex interventions. This definition and the accompanied model are issued by the British Medical Research Council (MRC) in 2008 and are nowadays worldwide established. During the session at the conference, after a short introduction, we will discuss our proposal with the participants for improving a new definition of evidence based integrated care.
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Het betreft een opiniestuk met een modern model voor integrated care.
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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.
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Introduction: Primary care has a central role in integrating care within a health system. However, conceptual ambiguity regarding integrated care hampers a systematic understanding. This paper proposes a conceptual framework that combines the concepts of primary care and integrated care, in order to understand the complexity of integrated care. Methods: The search method involved a combination of electronic database searches, hand searches of reference lists (snowball method) and contacting researchers in the field. The process of synthesizing the literature was iterative, to relate the concepts of primary care and integrated care. First, we identified the general principles of primary care and integrated care. Second, we connected the dimensions of integrated care and the principles of primary care. Finally, to improve content validity we held several meetings with researchers in the field to develop and refine our conceptual framework. Results: The conceptual framework combines the functions of primary care with the dimensions of integrated care. Person-focused and population-based care serve as guiding principles for achieving integration across the care continuum. Integration plays complementary roles on the micro (clinical integration), meso (professional and organisational integration) and macro (system integration) level. Functional and normative integration ensure connectivity between the levels. Discussion: The presented conceptual framework is a first step to achieve a better understanding of the inter-relationships among the dimensions of integrated care from a primary care perspective.
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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.
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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.
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Introduction In 2016 a new form of integrated community treatment for patients with serious mental illnesses was implemented in two neighborhoods in the city of Utrecht (335000 inhabitants) in the Netherlands. Treatment is characterized by close collaboration of psychiatric care, somatic care (i.e. general practitioner, nurse practitioner), supported housing and other facilities, i.e. the police officer, and is provided in the direct neighborhood of the patients. This ‘neighborhood based integrated mental health care’ should not contribute solely to clinical recovery, but also specifically to social and personal recovery. Objectives The aim of this research was to investigate the experience of patients with serious mental illnesses themselves receiving this new form of neighborhood-based integrated mental health care. More specific the question is studied if and how neighborhood-based integrated mental health care supports personal and social recovery. Methods To assess the experience of patients in depth qualitative semi-structured interviews were conducted with 20 patients. Patients were asked to participate in interviews directly by the researchers, by their case managers and by experts by experience. Interview topics included personal and social recovery, resilience and self-efficacy related to the collective effort of caregivers. Qualitative data was analyzed by three independent researches with the qualitative computer program Tarzan. Strategies to enhance quality of data analysis (respondent validation) and validity (attention to negative cases) were used. Results The study will be finished in January 2019. Conclusions The results, a brief description of the collaborative care methodology offered and experiences of patients, and conclusions will be presented at the ENMESH conference.
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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.
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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.
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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
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