663
Participants
Start Date
February 1, 2020
Primary Completion Date
August 31, 2023
Study Completion Date
December 31, 2023
e-predictD intervention
The intervention is based on validated risk algorithms to predict depression and includes: 1) Mobile applications as main user's interface; 2) a DSS that helps patients to develop their own personalized plans to prevent (PPP) depression; 3) eight intervention modules (the core of the system) including activities to prevent depression, to be proposed by the DSS and chosen by the patient. The intervention is biopsychosocial and multi-component, including the following modules: physical exercise, improving sleep, expanding relationships, problem solving, improving communication skills, assertiveness training, making decisions and managing thoughts. Patients will implement the recommendations and the tool will monitor these actions, offering feedback to improve their PPP at 3, 6 and 9 months. The intervention also includes an initial and single 15-minute face-to-face GP-patient interview.
Brief psychoeducational intervention
The intervention consists of an App that weekly send brief psychoeducational messages about physical and mental health (depression, anxiety, sleep hygiene, physical activity, etc.)
Juan M. Mendive, Barcelona
María Isabel Ballesta Rodríguez, Jaén
Antonina Rodríguez Bayón, Linares
Juan Á Bellón, Málaga
Emiliano Rodríguez, Salamanca
Yolanda López del Hoyo, Zaragoza
Preventive Services and Health Promotion Research Network
OTHER
Institute of Biomedical Research in Málaga (IBIMA)
UNKNOWN
Andalusian Regional Ministry of Health
OTHER_GOV
European Regional Development Fund
OTHER
University of Malaga
OTHER
The Mediterranean Institute for the Advance of Biotechnology and Health Research
OTHER