1,054
Participants
Start Date
June 1, 2021
Primary Completion Date
August 31, 2024
Study Completion Date
December 31, 2024
e-predictD-Work 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 worker participants to develop their own personalized plans to prevent (PPP) depression; 3) nine intervention modules (the core of the system) including activities to prevent depression, to be proposed by the DSS and chosen by the participants. The intervention is biopsychosocial and multi-component, including the following modules: physical exercise, improve sleep, expand relationships, solve problems, improve communication, assertiveness, decision making, manage thoughts and reduce work stress. Worker participants will implement the recommendations and the tool will monitor these actions, offering feedback to improve their PPP at 6 and 12 months.
Brief psychoeducational messages
The intervention consists of an App that weekly send short messages about stress and general health that will be extracted from brochures and websites of official agencies.
Juan Bellon Saameño, Málaga
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