E-mental health applications for depression

• Verfasst von: Rubeis, Giovanni [VerfasserIn]
• Titel: E-mental health applications for depression
• Titelzusatz: an evidence-based ethical analysis
• Verf.angabe: Giovanni Rubeis
• Jahr: 2021
• Umfang: 7 S.
• Fussnoten: Gesehen am 12.05.2021
• Titel Quelle: Enthalten in: European archives of psychiatry and clinical neuroscience
• Ort Quelle: Darmstadt : Steinkopff, 1868
• Jahr Quelle: 2021
• Band/Heft Quelle: 271(2021), 3, Seite 549-555
• ISSN Quelle: 1433-8491
• DOI: doi:10.1007/s00406-019-01093-y
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Apps
• Sach-SW: Blended therapy
• Sach-SW: Depressive disorders
• Sach-SW: E-mental health
• Sach-SW: Ethics
• Sach-SW: Treatment gap
• K10plus-PPN: 1757707158

Abstract

E-mental health applications (apps) are an increasingly important factor for the treatment of depression. To assess the risks and benefits for patients, an in-depth ethical analysis is necessary. The objective of this paper is to determine the ethical implications of app-based treatment for depression. An evidence-based ethical analysis was conducted. The material was meta-reviews and randomized control studies (RCTs) on app-based treatment. Based on the empirical data, an ethical analysis was conducted using the 3-ACES-approach by Thornicroft and Tansella. Apps may empower autonomy, offer an uninterrupted series of contacts over a period of time, show evidence-based benefits for patients with subclinical and mild-to-moderate-symptoms, are easily accessible, may be used for coordinating information and services within an episode of care, and are on the whole cost-effective. Their risks are that they are not suitable for the whole range of severity of mental illnesses and patient characteristics, show severe deficits in the data privacy policy, and a big variability in quality standards. The use of apps in depression treatment can be beneficial for patients as long as (1) the usefulness of an app-based treatment is assessed for each individual patient, (2) apps are chosen according to symptom severity as well as characteristics like the patient's level of self-reliance, their e-literacy, and their openness vis-à-vis apps, (3) manufacturers improve their privacy policies and the quality of apps.