Analysis of the Emails From the Dutch Web-Based Intervention “Alcohol de Baas”: Assessment of Early Indications of Drop-Out in an Online Alcohol Abuse Intervention

Nowadays, traditional forms of psychotherapy are increasingly complemented by online interactions between client and counselor. In (some) web-based psychotherapeutic interventions, meetings are exclusively online through asynchronous messages. As the active ingredients of therapy are included in the exchange of several emails, this verbal exchange contains a wealth of information about the psychotherapeutic change process. Unfortunately, drop-out-related issues are exacerbated online. We employed several machine learning models to find (early) signs of drop-out in the email data from the “Alco... Mehr ...

Verfasser: Wouter A. C. Smink
Anneke M. Sools
Marloes G. Postel
Erik Tjong Kim Sang
Auke Elfrink
Lukas B. Libbertz-Mohr
Bernard P. Veldkamp
Gerben J. Westerhof
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Reihe/Periodikum: Frontiers in Psychiatry, Vol 12 (2021)
Verlag/Hrsg.: Frontiers Media S.A.
Schlagwörter: therapeutic change process research (TCPR) / alcohol use disorder (AUD) / drop-out / web-based psychotherapeutic interventions / e-mail data / machine learning / Psychiatry / RC435-571
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26629895
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.3389/fpsyt.2021.575931