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

RD24/0005/0011

jabellon@uma.es

Participating Groups

Cardiocat. IP:

Rafel Ramos (RD24/0005/0001)

GAIAP-Aragón. IP:

Rosa Magallón (RD24/0005/0004)

GRAP-caIB. IP:

Alfonso Leiva (RD24/0005/0008)

GIAPCyL. IP:

Luis García (RD24/0005/0018)

Valencia. IP:

Isabel Hurtado (RD21/0001/0006)

SAMSERAP. IP:

Juan Bellon (RD24/0005/0011)

Sant Joan de Déu. IP:

Montserrat Gil (RD24/0005/0007)

Galicia. IP:

Francisco Gude (RD24/0005/0010)

Madrid. IP:

Isabel del Cura (RD24/0005/0015)

ISCiii. IP:

Joao Forjaz (RD24CIII/0001/0002)

IMIM. IP:

Maria Sala (RD24/0005/0002)

Canarias. IP:

Lilisbeth Perestelo (RD24/0005/0003)

Navarra. IP:

Berta Ibáñez (RD24/0005/0024)

Research lines

Line 1To develop and internally validate new risk algorithms to predict the incidence of prevalent diseases, evaluate the incorporation of new and innovative risk factors and predictors, as well as recalibrate or externally validate in different populations those risk algorithms already developed and validated internally.

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

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

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

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

Task 1. To develop innovative personalized interventions based on predictive risk algorithms to prevent mental disorders (depression, anxiety and suicidal behavior).

Task 2. To develop innovative personalized interventions based on predictive risk algorithms to prevent cardiovascular diseases.

Task 3. To develop innovative personalized interventions based on predictive risk algorithms to prevent other prevalent diseases (diabetes, cognitive impairment, and osteoporotic fractures).

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

Task 1. To evaluate the impact of using risk algorithms to predict mental disorders on people’s physical and mental health and quality of life and on improving health services.

Task 2. To evaluate the impact of using risk algorithms to predict cardiovascular diseases on people’s health and quality of life and on improving health services.

Task 3. To evaluate the impact of using predictive risk algorithms to predict other prevalent diseases (diabetes, cognitive impairment and osteoporotic fractures) on people’s health and quality of life and on improving health services.