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Understanding the potential of digital therapies in implementing the standard of care for depression in Europe

Part of: Viewpoints

Published online by Cambridge University Press:  24 October 2023

Philippe Courtet
Affiliation:
Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital CHU Montpellier, Institut de Génomique Fonctionnelle, Université de Montpellier, CNRS, INSERM, Montpellier, France
Odile Amiot
Affiliation:
GH Paul Guiraud, Boulogne Billancourt, France
Enrique Baca-Garcia
Affiliation:
Department of Psychiatry, University Hospital Jimenez Diaz Foundation, Madrid, Spain Department of Psychiatry, University Hospital Rey Juan Carlos, Mostoles, Spain Department of Psychiatry, General Hospital of Villalba, Madrid, Spain Department of Psychiatry, University Hospital Infanta Elena, Valdemoro, Spain Department of Psychiatry, Madrid Autonomous University, Madrid, Spain Centro de Investigacion en Salud Mental (CIBERSAM), Carlos III Institute of Health, Madrid, Spain Department of Psychiatry, Centre Hospitalier Universitaire de Nîmes, Nîmes, France
Lara Bellardita
Affiliation:
Maggiolina and Città Studi Center, Milan, Italy
Giancarlo Cerveri
Affiliation:
Department of Mental Health, Addiction Hospital, Lodi, Italy
Anne-Hélène Clair
Affiliation:
Institut du Cerveau – Paris Brain Institute – ICM, Sorbonne Université, INSERM, CNRS, Paris, France
Diego De Leo
Affiliation:
Department of Psychology, Primorska University, Koper, Slovenia
Dominique Drapier
Affiliation:
Centre Hospitalier Guillaume régnier, Pôle Hospitalo universitaire de psychiatrie, CIC Rennes INSERM, Rennes, France
Eric Fakra
Affiliation:
Saint Étienne University Hospital, University Jean Monnet, Saint Étienne, France PsyR2 Team, Centre de Recherche en Neurosciences de Lyon (CRNL), INSERM U1028, CNRS UMR 5292, Université Jean Monnet Saint Etienne, Université Lyon 1, Saint-Étienne, France
Francis Gheysen
Affiliation:
Compassionate Mind Foundation France, Caen, France
Lucas Giner
Affiliation:
Department of Psychiatry, Universidad de Sevilla, Seville, Spain
Ana Gonzalez-Pinto
Affiliation:
BIOARABA, Department of Psychiatry, Hospital Universitario de Alava, UPV/EHU, CIBERSAM, Vitoria, Spain
Gualberto Gussoni
Affiliation:
Clinical Research Department, Italian Scientific Society of Internal Medicine (FADOI), Milan, Italy
Emmanuel Haffen
Affiliation:
UR LINC, Service de psychiatrie de l’adulte, CIC-1431 INSERM, CHU de Besançon, Université de Franche-Comté, Besançon, France
Laurent Lecardeur
Affiliation:
DueL, Nice, France
Fermin Mayoral-Cleries
Affiliation:
Department of Mental Health, Regional University Hospital of Málaga, Biomedical Research Institute of Malaga (IBIMA), Málaga, Spain
Francesco Saverio Mennini
Affiliation:
EEHTA-CEIS, DEF Department, Faculty of Economic, University of Rome Tor Vergata, Roma, Italy Institute for Leadership and Management in Health, Kingston University, London, UK
Pilar A Sáiz
Affiliation:
Centro de Investigacion en Salud Mental (CIBERSAM), Carlos III Institute of Health, Madrid, Spain Department of Psychiatry, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), University of Oviedo, Oviedo, Spain Instituto de Neurociencias del Principado de Asturias (INEUROPA), Mental Health Services of the Principality of Asturias (SESPA), Oviedo, Spain
Eduard Vieta
Affiliation:
Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
Diego Alberto Hidalgo*
Affiliation:
Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
Umberto Volpe*
Affiliation:
Clinical Psychiatry Unit, Department of Clinical Neurosciences, Università Politecnica delle Marche, Ancona, Italy
*
Corresponding authors: Umberto Volpe and Diego Alberto Hidalgo; Emails: u.volpe@staff.univpm.it; diego.hidalgo_mazzei@kcl.ac.uk
Corresponding authors: Umberto Volpe and Diego Alberto Hidalgo; Emails: u.volpe@staff.univpm.it; diego.hidalgo_mazzei@kcl.ac.uk

Extract

Depressive disorders represent the largest proportion of mental illnesses, and by 2030, they are expected to be the first cause of disability-adjusted life years [1]. The COVID-19 pandemic exacerbated prevalence and burden of depression and increased the occurrence of depressive symptoms in general population [2]. The urgency of implementing mental health services to address new barriers to care persuaded clinicians to use telemedicine to follow patients and stay in touch with them, and to explore digital therapeutics (DTx) as potential tools for clinical intervention [2]. The combination of antidepressants and psychotherapy is widely recommended for depression by international guidelines [3] but is less frequently applied in real-world practice. Commonly used treatments are pharmacological, but while being effective, some aspects such as adherence to the drug regimen, residual symptoms, resistance, lack of information, and stigma may hinder successful treatment. In case of less severe depression, standalone psychological therapies should be the first-line treatment option [3], but access to trained psychotherapists remains inequitable. DTx are evidence-based therapies driven by software programs to treat or complement treatment of a specific disease. DTx are classified as Medical Devices, and given their therapeutic purpose, they need to be validated through randomized controlled clinical trials, as for drug-based therapies. In the last 10 years, studies of digital interventions have proliferated; these studies demonstrate that digital interventions increase remission rates and lower the severity of depressive symptoms compared with waitlist, treatment as usual, and attention control conditions [4]. Despite the efficacy demonstrated in clinical trials, many of these tools never reach real-life patients; thus, it might be necessary to implement DTx in the public health system to expand access to valid treatment options. In this framework, DTx represent a good opportunity to help people with depression receive optimal psychotherapeutic care [5].

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Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
Figure 0

Table 1. Combined results: common aspects and discrepancies

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