<< Objectives >>This project will develop & test a new transferable 'Learning & Innovation Lab' model to the delivery of more integrated & person centred health & social care services to vulnerable client groups & to the development of new competencies & skillsets required by stakeholders & front line staff to challenge systemic barriers & develop/test & implement innovation. Key products will include a Learning & Knowledge Platform & a Learning 2 Innovate competency framework & blended learning programme.<< Implementation >>1. To prepare a Baseline Study based in national reports by partners 2. Development of a Learning & Innovation Lab model & 6 labs in individual partner regions targeting different vulnerable client groups3. Development of a Learning & Knowledge Platform to promote knowledge transfer & host the learning programme4. Development of the Learn 2 Innovate learning programme5. Piloting the products through 6 regional labs & 150 people 6. Evaluation & dissemination leading to roll out of products<< Results >>1. Development of a robust Learning & Innovation Lab model together with a Learning & Knowledge Platform & Learning 2 Innovate competency framework & learning Programme which can support the integration of health & social care services & provide staff with the new skillsets they will need to implement this.2. Piloting will result in 6 regional labs & 150 people developing new skills & competencies3. Dissemination will roll out the lab network & other products at local, national & EU levels.

COMPAR-EU aims to identify, compare, and rank the most effective and cost-effective self-management interventions (SMIs) for adults in Europe within four high-priority chronic conditions: type 2 diabetes, obesity, chronic obstructive pulmonary disease, and heart failure. This project addresses an important gap in current knowledge applying network meta-analysis, an extension of meta-analysis methodology that allows multiple (rather than pairwise) comparisons of intervention effectiveness, to randomised controlled trials (RCTs) that meet the study inclusion criteria. This centralised analysis of an estimated 4000 RCTs will substantially help to overcome current problems associated with the dispersion and duplication of evidence. The work will be based on a validated taxonomy of SMIs and will prioritise outcomes from the patients’ perspective. In addition, a cost-effectiveness of the most effective SMIs will be estimated to provide insights into the economic consequences of adopting SMIs for societies, healthcare budgets, and patients. Contextual factors associated with successful interventions will also be studied. Drawing on our results, we will develop and pilot decision-making tools to facilitate access to evidence-based information on the most effective SMIs to key users through a user-friendly interactive platform. A multiprong strategy for exploitation of the research findings will lead to clear business cases for implementing it in different contexts within the heterogeneous EU health system. The end goal of the project is to have an impact in supporting policy-makers, guideline developers, researchers, industry, professionals and patients to make informed decisions on the identification and implementation of the most suitable SMIs, therefore contributing to the diffusion of the knowledge, healthcare sustainability and equity and promoting EU competitiveness in a globally emerging market.

This project will research and define how health and care professionals and patients will use ICT technologies to plan interventions with patients and to monitor the progression of their physical and mental state. It will investigate and document the requirements for Decision Support Tools that can be created, deployed and embedded into the daily routines of patients and Health and Care Professionals to deliver quality standardised care across a large population of chronic and elderly patients. This will include the technology requirements and use cases for sharing Care Plans between professionals and patients as well as the scope and depth of integration between new productivity and care coordination toolsets and current EMR recording software. EMPATITCS will undertake further research and collate current global examples of self-management services that have been clinically proven to positively impact the health of a population. It will study the socio-economic and age dependency factors that affect awareness, uptake and adherence to self-management services. This will define and design a best in class self-management service that provide the educational and informational services that a large population of elderly and chronic patients require to self-manage. The emphasis will be of the use of appropriate technology to scale the service and to connect with population groups that are difficult to reach due to geographic or demographic factors.