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This paper presents the computational framework that is employed for the analysis of health related key drivers and indicators within ACT, a project aiming to improve the deployment of Care Coordination and Telehealth services/ programmes across Europe, through an iterative evidence collection-evaluationrefinement process. An open-source solution is proposed, combining a series of established software technologies. The paper focuses on technical aspects of the framework and presents a worked example of a usage scenario. [ABSTRACT FROM AUTHOR]

Increased life expectancy and longevity, and declining birth rate, have led to an ageing Europe. The challenge is how to adapt the growing demand in health services and its sustainability. The main objectives are to gather iterative information from change management and staff engagement processes and to identify good practices in the ACT@Scale programs and regions. Online questionnaires were addressed to program managers and frontline clinical staff. The questionnaires were composed by seven domain: leadership, awareness, motivation, workforce development, psychological ownership and organizational change. Data collection took place from January to June 2017 (first wave) and the second wave will take place during July 2018. A range of descriptive statistics has been produced, to allow a high-level overview of response variability between questions, programmes, and regions; in addition, a qualitative analysis has been performed. In first wave, seventeen program managers answered the survey and in all, 173 responses were received from frontline clinical staff (Response index, 36.20%). The global staff engagement average was 3.7(over a value of 5),60% of programs were above the average and 40% were below. In program managers' responses, the domains identified most positively were: frontline clinical engagement (average 4), the effective communicational processes (average 4) and the staff training (average 4.5). The domains identified below the average were, project success (average 3), addressing organizational and cultural barriers(average 3). Most frontline clinical staff (90%) agreed that coordinated care and telehealth programs benefited patients. Regarding to workforce development, there was not consensus in training, and teaching methods developed, 70% perceived that the training received was not linked to a formal academic award. Second wave results are still pending to be analyzed and compared. Some diverging points of view between program managers and frontline clinical staff have been detected regarding educational methodologies developed. [ABSTRACT FROM AUTHOR]

The European population is ageing rapidly, but living longer does not necessarily mean living a healthier, more active and independent life. The number of Europeans over 65 will double in the next 50 years, and the number of over 80's will almost triple. Life expectancy will continue to increase, yet unhealthy life years make up 20% of a person's life. In order to tackle these challenges, the European Commission has launched an initiative creating a partnership to obtain commitment and investment from stakeholders - public and private, EU, national, regional and local who have jointly agreed on three priority areas for action: (i) prevention, screening and early diagnosis; (ii) care and cure; (iii) active ageing and independent living. In order to achieve the main goals of the initiative, six action groups have been prioritised, and Integrated Care of chronic conditions is one of them. The overarching target of the EIP AHA is to increase by 2 the average number of healthy life years in the EU by 2020. The partnership offers a framework for cooperation in order to address barriers hindering innovation. It intends to align existing EU, national, regional and local tools, private and public, to improve their effectiveness. The Partnership gathers stakeholders from the public and public sectors across different policy areas. Together they work on shared interests, activities and projects to find innovative solutions that meet the needs of the ageing populations. The partnership for Integrated Care for Chronic Conditions has brought together more than 180 stakeholders and has developed an Action Plan with 9 Action Areas. The workshop will focus on the current development of the 9 Action Areas and will provide some results and examples of good practices already existing in Integrated Care. Interactive participation from the attendants at the workshop will be expected. [ABSTRACT FROM AUTHOR]

Objectives: Population-based health risk assessment and stratification are considered highly relevant for large-scale implementation of integrated care by facilitating services design and case identification. The principal objective of the study was to analyse five health-risk assessment strategies and health indicators used in the five regions participating in the Advancing Care Coordination and Telehealth Deployment (ACT) programme (http://www.act-programme.eu). The second purpose was to elaborate on strategies toward enhanced health risk predictive modelling in the clinical scenario., Settings: The five ACT regions: Scotland (UK), Basque Country (ES), Catalonia (ES), Lombardy (I) and Groningen (NL)., Participants: Responsible teams for regional data management in the five ACT regions., Primary and Secondary Outcome Measures: We characterised and compared risk assessment strategies among ACT regions by analysing operational health risk predictive modelling tools for population-based stratification, as well as available health indicators at regional level. The analysis of the risk assessment tool deployed in Catalonia in 2015 (GMAs, Adjusted Morbidity Groups) was used as a basis to propose how population-based analytics could contribute to clinical risk prediction., Results: There was consensus on the need for a population health approach to generate health risk predictive modelling. However, this strategy was fully in place only in two ACT regions: Basque Country and Catalonia. We found marked differences among regions in health risk predictive modelling tools and health indicators, and identified key factors constraining their comparability. The research proposes means to overcome current limitations and the use of population-based health risk prediction for enhanced clinical risk assessment., Conclusions: The results indicate the need for further efforts to improve both comparability and flexibility of current population-based health risk predictive modelling approaches. Applicability and impact of the proposals for enhanced clinical risk assessment require prospective evaluation., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)