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Verfasst von:Rubeis, Giovanni [VerfasserIn]   i
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
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.
DOI:doi:10.1007/s00406-019-01093-y
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag: https://doi.org/10.1007/s00406-019-01093-y
 Volltext: https://link.springer.com/article/10.1007/s00406-019-01093-y
 DOI: https://doi.org/10.1007/s00406-019-01093-y
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Apps
 Blended therapy
 Depressive disorders
 E-mental health
 Ethics
 Treatment gap
K10plus-PPN:1757707158
Verknüpfungen:→ Zeitschrift

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