MAFEIP tool: Monitoring and Assessment Framework for the European Innovation Partnership on Active and Healthy Ageing.
Since August 2014, Dr Pecchia is supporting the European Commission in developing, piloting and disseminating the Monitoring and Assessment Framework for the EIP on Active and Healthy Ageing (MAFEIP) tool.
The European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) is a policy initiative aiming to improve active and healthy ageing sharing and scaling up innovative health technologies, to face challenges arising from demographic changes in Europe. The EIP on AHA ambitious ambition is to increase the health and quality of life of European citizens, improving the sustainability of health and care systems and to contribute to more economic growth in Europe.
In order to provide a reliable tool for monitoring the EIP on AHA commitments, DG CNECT and DG SANTE commissioned the DG JRC IPTS a web-based tool within the "Monitoring and Assessment Framework for the European Innovation Partnership on Active and Healthy Ageing" (MAFEIP) project. The MAFEIP-tool was launched in September 2015 during a workshop hosted by DG CNECT in Brussels.
The MAFEIP tool rests on a generic three-state Markov model and allows adaptation to various health and care settings, target populations, and innovations under assessment.
In particular, Dr Pecchia contribution has been functional to application of the MAFEIP tool for the so-called early stage Health Technology Assessment (or more precisely, early health economic evaluations). This field of research consist in applying reverse engineering to health economics to inform the research and development of innovative health technologies.
Link 1 (an intro to the MAFEIP tool)
Link 2 (The Warwick case study)
Royal Society Research Grant: Sleep quality & Centre-of-Pressure sway
Poor sleep quality and pattenr causes several health problems and sleep disturbances increase the risk of falling.
However, no studies developed a model to explain how poor sleep quality increases the risk of falling while rising-up from a bed or chair, which account for up to 30% of in-door accidental falls.
This study prelimnary explroed for the first time associations between Sleep quality & Centre-of-Pressure sway in order to develop mathematical models to assess the risk of falling.
In particular, this grant supported the acquisition of a state of the art wearable monitor for monitoring physiological signals (i.e. EEG, ECG, EOG, EMG, SpO2, GSR, Actigraphy).