Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/40088
Title: EARLY CLIENT INVOLVEMENT IN THE DESIGN OF A BLENDED SMARTPHONE APPLICATION AND DASHBOARD FOR DEPRESSION (TOTEM)
Authors: ROSS, Veerle 
BRIJS, Kris 
DIRIX, Hélène 
WETS, Geert 
NEVEN, An 
VANROMPAY, Yves 
CLAES, Neree 
JACOBS, Nele 
Issue Date: 2023
Publisher: INT INST ADVANCED STUDIES PSYCHOTHERAPY & APPLIED MENTAL HEALTH
Source: Journal of Evidence-Based Psychotherapies, 23 (SI) , p. 97 -136
Abstract: Technological developments can optimize therapy for depression. However, early client or user involvement is crucial. The smartphone application and dashboard 'plaTfOrm using evidence-based inTervEntions for (Mental) health' (TOTEM), based on cognitive behavioral therapy and behavioral activation, is being developed together with clients from the start. Objective monitoring (e.g., activity/travel-related behavior) and human-in-the-loop AI machine learning allow tailored blended care, combining face-to-face therapy with online modules and Just-in-Time Adaptive Interventions. As a first co-creation step, clients with (prior) depression or depressive complaints and psychologists evaluated the usefulness of an existing Health for Travel Behaviour (HTB) application and feedback report developed for cardio patients, which monitors and improves travel-related physical activity. Online semi-structured interviews followed an HTB demonstration. In total, 16 interviews (14 clients and 2 psychologists) were transcribed and analyzed. Participants perceived the application as user-friendly, relevant, useful, attractive, and a supplement to standard care. It encourages people to engage in activities. The feedback report was also perceived as transparent, useful, and relevant. Emotional aspects are underemphasized (e.g., assessment of feelings and mental health-related psycho-education). When tailored to depression (with attention for different recovery phases), monitoring and improving travel-related physical activity was considered helpful in supplementing standard care for depression.
Keywords: Depression;digital mental health;digital therapeutics;smartphone applications;machine learning;just-in-time adaptive interventions;co-creation
Document URI: http://hdl.handle.net/1942/40088
ISSN: 2360-0853
DOI: 10.24193/jebp.2023.1.5
ISI #: 000976347600005
Rights: Correspondence concerning this article should be addressed to Veerle Ross, UHasselt, School of Transportation Sciences, Transportation Research Institute (IMOB), Martelarenlaan 42, 3500 Hasselt, Belgium. Email: veerle.ross@uhasselt.be
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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