PRimary carE digital Support ToOl in mental health (PRESTO): Design, development and study protocols.
Aplicación para teléfonos inteligentes
Atención primaria
Machine learning
Mental health
Primary care
Salud mental
Smartphone app
mHealth
Journal
Revista de psiquiatria y salud mental
ISSN: 2173-5050
Titre abrégé: Rev Psiquiatr Salud Ment (Engl Ed)
Pays: Spain
ID NLM: 101744920
Informations de publication
Date de publication:
29 Apr 2021
29 Apr 2021
Historique:
received:
02
02
2021
revised:
22
03
2021
accepted:
19
04
2021
pubmed:
3
5
2021
medline:
3
5
2021
entrez:
2
5
2021
Statut:
aheadofprint
Résumé
About 30-50% of Primary Care (PC) users in Spain suffer mental health problems, mostly mild to moderate anxious and depressive symptoms, which account for 2% of Spain's total Gross domestic product and 50% of the costs associated to all mental disorders. Mobile health tools have demonstrated to cost-effectively reduce anxious and depressive symptoms while machine learning (ML) techniques have shown to accurately detect severe cases. The main aim of this project is to develop a comprehensive ML digital support platform (PRESTO) to cost-effectively screen, assess, triage, and provide personalized treatments for anxious and depressive symptoms in PC. The project will be carried out in 3 complementary phases: First, a ML predictive severity model will be built based on all the cases referred to the PC mental health support programme during the last 5 years in Catalonia. Simultaneously, a smartphone app to monitor and deliver psychological interventions for anxiety and depressive symptoms will be developed and tested in a clinical trial. Finally, the ML models and the app will be integrated in a comprehensive decision-support platform (PRESTO) which will triage and assign to each patient a specific intervention based on individual personal and clinical characteristics. The effectiveness of PRESTO to reduce waiting times in receiving mental healthcare will be tested in a stepped-wedge cluster randomized controlled trial in 5 PC centres. PRESTO will offer timely and personalized cost-effective mental health treatment to people with mild to moderate anxious and depressive symptoms. This will result in a reduction of the burden of mental health problems in PC and on society as a whole. The project and their clinical trials were registered in Clinical Trials.gov: NCT04559360 (September 2020).
Sections du résumé
BACKGROUND
BACKGROUND
About 30-50% of Primary Care (PC) users in Spain suffer mental health problems, mostly mild to moderate anxious and depressive symptoms, which account for 2% of Spain's total Gross domestic product and 50% of the costs associated to all mental disorders. Mobile health tools have demonstrated to cost-effectively reduce anxious and depressive symptoms while machine learning (ML) techniques have shown to accurately detect severe cases. The main aim of this project is to develop a comprehensive ML digital support platform (PRESTO) to cost-effectively screen, assess, triage, and provide personalized treatments for anxious and depressive symptoms in PC.
METHODS
METHODS
The project will be carried out in 3 complementary phases: First, a ML predictive severity model will be built based on all the cases referred to the PC mental health support programme during the last 5 years in Catalonia. Simultaneously, a smartphone app to monitor and deliver psychological interventions for anxiety and depressive symptoms will be developed and tested in a clinical trial. Finally, the ML models and the app will be integrated in a comprehensive decision-support platform (PRESTO) which will triage and assign to each patient a specific intervention based on individual personal and clinical characteristics. The effectiveness of PRESTO to reduce waiting times in receiving mental healthcare will be tested in a stepped-wedge cluster randomized controlled trial in 5 PC centres.
DISCUSSION
CONCLUSIONS
PRESTO will offer timely and personalized cost-effective mental health treatment to people with mild to moderate anxious and depressive symptoms. This will result in a reduction of the burden of mental health problems in PC and on society as a whole.
TRIAL REGISTRATION
BACKGROUND
The project and their clinical trials were registered in Clinical Trials.gov: NCT04559360 (September 2020).
Identifiants
pubmed: 33933665
pii: S1888-9891(21)00051-3
doi: 10.1016/j.rpsm.2021.04.003
pii:
doi:
Banques de données
ClinicalTrials.gov
['NCT04559360']
Types de publication
Journal Article
Langues
eng
spa
Informations de copyright
Copyright © 2021 SEP y SEPB. Publicado por Elsevier España, S.L.U. All rights reserved.