SENSE-COG: improve mental well-being for elderly Europeans with sensory impairment


University of Manchester

European Commission (H2020)


Mental, cognitive, vision and hearing health problems in elderly people are amongst the top 10 public health challenges in Europe. They frequently occur co-concurrently and have an additive negative effect on quality of life and mental well-being. To address this negative impact, and promote mental well-being, particularly from a gender and minority community perspective, SENSE-Cog's aim is to:

  • (1) understand the inter-relationship of sensory impairments and cognitive and mental health functioning;
  • (2) identify novel means of screening/detection for diagnostic and therapeutic purposes;
  • (3) translate this knowledge into clinical applications for the mental well-being of EU citizens.
Methods: SENSE-Cog will use a ‘mixed methods’ approach with a trans-EU, UK-led, multidisciplinary collaboration of 7 EU countries with academics, SMEs, city government and ‘patient-public voice’ members. We will deliver linked Work Packages (WPs) reflecting 7 themes:
  • (1) exploration: an epidemiological analysis of 5 large EU longitudinal databases to detect risk profiles for good and poor mental health outcomes;
  • (2) assessment: the adaptation/validation of assessment tools for cognition and sensory impairment for vulnerable populations, including the development of a composite e-screen for sensory, cognitive and mental functioning;
  • (3) intervention: a clinical trial of a newly developed ‘sensory support’ intervention;
  • (4) participation: an EU ‘patient and public voice’ and innovative public engagement network to inform the WPs and communicate findings;
  • (5) valuation: health economic and cost effectiveness analyses;
  • (6) management, governance/ethics.
Impact: SENSE-Cog will promote earlier detection of sensory, cognitive and mental impairments to enable swift interventions, prevent deterioration and limit negative impacts.

Role of EUCLID

  • Coordination
  • Methodology
  • Statistics
  • Data Management