Data_Sheet_1_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.docx

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 (11837483)
Anneke M. Sools (8086898)
Marloes G. Postel (3926327)
Erik Tjong Kim Sang (11837486)
Auke Elfrink (11837489)
Lukas B. Libbertz-Mohr (11837492)
Bernard P. Veldkamp (8086904)
Gerben J. Westerhof (8086907)
Dokumenttyp: Dataset
Erscheinungsdatum: 2021
Schlagwörter: Psychiatry (incl. Psychotherapy) / therapeutic change process research (TCPR) / alcohol use disorder (AUD) / drop-out / web-based psychotherapeutic interventions / e-mail data / machine learning
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-26662541
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.3389/fpsyt.2021.575931.s001