CORDIS · EVOTION
EVidenced based management of hearing impairments: Public health pΟlicy making based on fusing big data analytics and simulaTION.
- Code
EVOTION- Programme
- H2020
- Call
SC1-PM-18-2016- Status
- CLOSED
- Period
- 2016-11-01 – 2020-01-31
Official data · CORDIS · synced 2026-10-17 10:16 · official record
Participants
| Organisations | Role | Country | Grant |
|---|---|---|---|
| OTICON A/S | coordinator | DK | 939 836 € |
| GUYS AND ST THOMAS' NHS FOUNDATIONTRUST | participant | UK | 680 570 € |
| UNIVERSITY COLLEGE LONDON | participant | UK | 680 570 € |
| CITY ST GEORGES UNIVERSITY OF LONDON | participant | UK | 548 475 € |
| ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON | participant | EL | 425 400 € |
| EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON | participant | EL | 398 750 € |
| ATHENS TECHNOLOGY CENTER ANONYMI VIOMICHANIKI EMPORIKI KAI TECHNIKI ETAIREIA EFARMOGON YPSILIS TECHNOLOGIAS | participant | EL | 311 250 € |
| UNIVERSITA DEGLI STUDI DI MILANO | participant | IT | 295 125 € |
| IATRIKO ATHINON EMPORIKI ANONYMOS ETAIREIA | participant | EL | 249 050 € |
| NASTAVNI ZAVOD ZA JAVNO ZDRAVSTVO OSJECKO-BARANJS ZUPANIJE USTANOVA | participant | HR | 145 000 € |
| PAZARDZHIK DISTRICT ADMINISTRATION | participant | BG | 145 000 € |
| INSTYTUT MEDYCYNY PRACY IMIENIA PROF. DRA MED. JERZEGO NOFERA W LODZI | participant | PL | 144 750 € |
| DGS POLAND SP ZOO | third party | PL | 0 € |
| EMPELOR GMBH | participant | CH | 0 € |
Description
Hearing Loss (HL) is one of the most prevalent chronic diseases and the 5th cause of disability. HL increases the risk of cognitive decline, mental illness, and depression, and leads to social isolation, unemployment/early retirement, loss of income and work discrimination. The pre-eminent management strategy for HL is the provision of Hearing Aids (HAs), although their use is often problematic, costly and with poor overall benefits.The holistic management of HL requires appropriate public health policies for HL prevention, early diagnosis, long-term treatment and rehabilitation; detection and prevention of cognitive decline; protection from noise; and socioeconomic inclusion of HL patients. However, currently the evidential basis for forming such policies is limited. Holistic HL management policies require the analysis of heterogeneous data, including HA usage, noise (TTS) episodes, audiological, physiological, cognitive, clinical and medication, personal, behavioural, life style, occupational and environmental data.EVOTION has access to big datasets of such data from five different organisations and will support their continuous update by real time data produced by sensors and HAs used by HL patients. To utilise these data in forming holistic HL management policies, EVOTION aims to develop an integrated platform supporting: (a) the analysis of the above datasets to enable the identification of causal and other effects amongst them, (b) policy decision making focusing on the selection of effective interventions related to the holistic management of HL, based on the outcomes of (a) and the formulation of related public health policies, and (c) the specification and monitoring of such policies in a sustainable manner. To achieve this aim, EVOTION also brings together public health policy organisations, experts and authorities supporting the formation of the targeted policies and the validation of the EVOTION support for it.
Official data · CORDIS · synced 2026-10-17 10:16 · official record · Licence: © European Union, CC BY 4.0 (Commission reuse policy).