Target WP2 - Ricapps

The network

research programme

01

WP 2. To develop, validate and evaluate the impact of risk algorithms in the prevention of prevalent diseases.

Coordinator

Juan Bellón

SAMSERAP Research Group

RD21/0016/0012

jabellon@uma.es

Participating Groups

Cardiocat. IP:

Rafel Ramos (RD21/0001/0001)

GAIAP-Aragón. IP:

Rosa Magallón (RD21/0001/0005)

GRAP-caIB. IP:

Alfonso Leiva (RD21/0001/0009)

GIAPCyL. IP:

Luis García (RD21/0001/0010)

Valencia. IP:

Isabel Hurtado (RD21/0001/0006)

SAMSERAP. IP:

Juan Bellon (RD21/0001/0012)

Sant Joan de Déu. IP:

Montserrat Gil (RD21/0001/0018)

Galicia. IP:

Francisco Gude (RD21/0001/0022)

Alicante. IP:

Francisco Gil (RD21/0001/0024)

Madrid. IP:

Isabel del Cura (RD21/0001/0027)

ISCiii. IP:

Joao Forjaz (RD21CIII/0003/0002)

Research lines

Line 1To develop and evaluate the internal and external validation of risk algorithms to predict the incidence of prevalent diseases. To develop and internally validate new predictive risk algorithms, evaluate the incorporation of new and innovative risk factors, and recalibrate or externally validate already-developed predictive risk algorithms in different populations.

Task 1. To develop and evaluate the internal and external validation of risk algorithms to predict the incidence of mental disorders (depression, anxiety, psychosis and suicide).

Task 2. To develop and evaluate the internal and external validation of risk algorithms to predict the incidence and mortality of cardiovascular diseases.

Task 3. To develop and evaluate the internal and external validation of risk algorithms to predict the incidence of other prevalent diseases (diabetes, dementia and osteoporotic fractures).

Line 2To develop innovative personalised interventions based on predictive risk algorithms to prevent prevalent diseases. These innovative personalised interventions will integrate predictive risk algorithms into the decision-making of individuals and healthcare professionals, as well as decision-making support and monitoring systems based on information and communication technologies.

Task 1. To develop innovative personalised interventions based on predictive risk algorithms to prevent mental disorders (depression, anxiety, psychosis and suicide).

Task 2. To develop innovative personalised interventions based on predictive risk algorithms to prevent cardiovascular disease.

Task 3. To develop innovative personalised interventions based on predictive risk algorithms to prevent osteoporotic fractures.

Line 3To evaluate the impact of predictive risk algorithms on people’s health and the improvement of healthcare services.

Task 1. To evaluate the impact of predictive risk algorithms for mental disorders on people’s health and on their physical and mental quality of life.

Task 2. To evaluate the impact of predictive risk algorithms for cardiovascular disease on people’s health and on the improvement of healthcare services.

Task 3. To evaluate the impact of predictive risk algorithms for osteoporotic fractures on people’s health and on the improvement of health services.