A5018121384- Digital Mental Health Interventions
- Mental Health Research Topics
- Child and Adolescent Psychosocial and Emotional Development
- Ionosphere and magnetosphere dynamics
- Radio, Podcasts, and Digital Media
- Health and Wellbeing Research
- Satellite Communication Systems
- Spacecraft Design and Technology
- Mental Health Treatment and Access
INESC TEC
2012-2023
Institute for Systems Engineering and Computers
2019
Depression is expected to be the disorder with highest disease burden in high-income countries by year 2030. ICT4Depression (ICT4D) a European FP7 project, which aims contribute alleviation of this making use depression treatment and ICT innovations. In project we developed an ICT-based system for primary care that improve access as well actual delivery depressed adults. Innovative technologies within ICT4D include 1) flexible self-help treatments depression, 2) automatic assessment patient...
Blended treatments, combining digital components with face-to-face (FTF) therapy, are starting to find their way into mental health care. Knowledge on how blended treatments should be set up is, however, still limited. To further explore and optimize treatment protocols, it is important obtain a full picture of what actually happens during when applied in routine care.The aims this study were gain insight the usage different cognitive behavioral therapy (bCBT) for depression reflect actual...
In this paper we introduce a new Android library, called ULTEMAT, for the delivery of ecological momentary assessments (EMAs) on mobile devices and present its use in MoodBuster app developed H2020 E-COMPARED project. We discuss context-aware, or event-based, triggers presentation EMAs potential they have to improve effectiveness provision mental health interventions as allow patients when where these are most appropriate. Following this, abilities ULTEMAT such context-aware schedule how...
FP7 ICT4Depression project aims at providing a set of tools to further improve both patient outcome and increase access treatment the patients suffering from major depression. This article describes Information Systems (IS) architecture used in project. uses service oriented as means bringing together different kinds information concerning patient, therapeutic modules he is advised follow sensors assess his status.
This work presents a screening and evaluation platform for depression suicidality that has been tested in the scope of primary healthcare.The main objective is to improve efficiency effectiveness processes.A web-based, decision support was provided qualified healthcare professionals.The provides several assessment tools patient monitoring their treatment, along with follow up appointment management.A preliminary process carried out understand health professional's satisfaction.This revealed...