Strategic Intelligence Monitor on Personal Health Systems (SIMPHS): Structure of Available Data and New Measurement Framework with Selected Indicators

This policy brief provides findings from empirical research on market and innovation dynamics regarding Personal Health Systems (PHS) in Europe. Even the already most consolidated of all PHS segments (i.e. RMT) is found to be radically different than the initial assumptions. The research has revealed that the market is in a state far from being mature and as a result there is little standardised data available. RMT contributes only a tiny fraction of the eHealth market revenues. Pilots are still dominating the form of implemented cases. The market is fragmented also in terms of players without distinct segments. This policy brief recognise a huge potential in a modified approach towards evaluation and measurement of eHealth.JRC.DDG.J.4-Information Societ

Strategic Intelligence Monitor on Personal Health Systems Phase 3 (SIMPHS3) - Operational Guidelines for ICT-supported Integrated Care and Independent Living

The guidelines in this report have been developed as part of the Strategic Intelligence Monitor on Personal Health Systems Phase 3 (SIMPHS3) project. Twenty-four ICT-supported integrated care initiatives in the EU were identified which supported integrated care and/or independent living and were either deployed or promising large scale pilots. The aim of this report is to define a set of recommendations to guide the process of developing and implementing ICT-supported integrated care and independent living, based on the experiences made in these 24 initiatives. The intended audience for this guidance document are those who work on the development and implementation of initiatives at an operational level, such as professionals, managers in healthcare organisations, regional managers of health or social care, health insurers, professionals’ organisations, etc.JRC.J.3-Information Societ

Strategic Intelligence Monitor on Personal Health Systems (SIMPHS): Report on Typology/Segmentation of the PHS Market

This market segmentation reports for Personal Health Systems (PHS) describes the methodological background and illustrates the principles of classification and typology regarding different fragments forming this market. It discusses different aspects of the market for PHS and highlights challenges towards a stringent and clear-cut typology or defining market segmentation. Based on these findings a preliminary hybrid typology and indications and insights are created in order to be used in the continuation of the SIMPHS project. It concludes with an annex containing examples and cases studies.JRC.DDG.J.4-Information Societ

Intercomparison of atmospheric Carbonyl Sulfide (TransCom-COS; Part one): Evaluating the impact of transport and emissions on tropospheric variability using ground-based and aircraft data

We present a comparison of atmospheric transport model simulations for carbonyl sulfide (COS), within the framework of the ongoing atmospheric tracer transport model intercomparison project “TransCom”. Seven atmospheric transport models participated in the inter-comparison experiment and provided simulations of COS mixing ratios in the troposphere over a 9-year period (2010–2018), using prescribed state-of-the-art surface fluxes for various components of the atmospheric COS budget: biospheric sink, oceanic source, sources from fire and industry. Since the biosphere is the largest sink of COS, we tested sink estimates produced by two different biosphere models. The main goals of TransCom-COS are (a) to investigate the impact of the transport uncertainty and emission distribution in simulating the spatio-temporal variability of COS mixing ratios in the troposphere, and (b) to assess the sensitivity of simulated tropospheric COS mixing ratios to the seasonal and diurnal variability of the COS biosphere fluxes. To this end, a control case with state-of-the-art seasonal fluxes of COS was constructed. Models were run with the same fluxes and without chemistry to isolate transport differences. Further, two COS flux scenarios were compared: one using a biosphere flux with a monthly time resolution and the other using a biosphere flux with a three-hourly time resolution. In addition, we investigated the sensitivity of the simulated concentrations to different biosphere fluxes and to indirect oceanic emissions through dimethylsulfide (DMS) and carbon disulfide (CS2). The modelled COS mixing ratios were assessed against in-situ observations from surface stations and aircraft

Monitoring and Assessment Framework for the European Innovation Partnership on Active and Healthy Ageing (MAFEIP) - Conceptual description of the Monitoring and Assessment Framework for the EIP on AHA

After having identified a short list of candidate indicators for assessing the impact of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) in the first and second reports on outcome indicators for MAFEIP, the next step in this project was to develop a quantitative approach that could be suited to establishing a link between candidate indicators and the EIP on AHA objectives. This report therefore conceptualises a model for estimating the impact of the Partnership's activities on its targets for health and sustainability of health and care system using the outcome indicators that were previously identified. In accordance with the EIP on AHA headline target of increasing the average healthy life expectancy of European citizens by two years by 2020, we took the methods to calculate Healthy Life Years (HLY) as a starting point, but adapted them to better accommodate the needs of MAFEIP. The rationale for this adaptation was to ensure the resulting model can adequately estimate the health impacts achieved by EIP on AHA commitments, and also to utilise data on indicators that are most frequently reported across EIP on AHA participants. The resulting model is based on a Markov process with three generic health states ('baseline health', 'deteriorated health' and 'death'), which can draw upon data from primary and secondary outcome indicators across populations, interventions, commitments and geographic domains. We discuss how the model's flexibility that allows it to be applied to different contexts could be enhanced further through the optional inclusion of additional health states or extensions for incorporating additional secondary indicators. We also discuss how to use the model for estimating the impact of activities delivered within the EIP on AHA on the sustainability of health and care systems in terms of the incremental impact of the interventions on health and care expenditure. We propose that the model should be implemented as a web-based monitoring tool to enable stakeholders within commitments to independently assess the impact of their respective interventions on health and sustainability of health and care systems, with the support and guidance of IPTS.JRC.J.3-Information Societ

Strategic Intelligence Monitor on Personal Health Systems Phase 3 (SIMPHS3) - Introduction to SIMPHS3 case studies

This report is an introduction to the various cases of integrated care and independent living developed in SIMPHS3. It addresses the methodology applied for the field work, and provides further details on the fieldwork activity, together with a brief description of the typologies of health and social care actors interviewed. It also gives an overview of the number of Member States and regions covered in the study, how the cases have been analysed and actors interviewed. It further presents an overview of the Case Study report structure that has been used across all cases so as to allow comparability. The structured questionnaire and the semi-structured interview key questions used in the field work are presented in Annex.JRC.J.3-Information Societ