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.

Autor:	Smink WAC; Department of Psychology, Health Technology, University of Twente, Enschede, Netherlands.; Department of Research Methodology, Measurement Data Analysis, University of Twente, Enschede, Netherlands., Sools AM; Department of Psychology, Health Technology, University of Twente, Enschede, Netherlands., Postel MG; Department of Psychology, Health Technology, University of Twente, Enschede, Netherlands.; Tactus Addiction Treatment, Enschede, Netherlands., Tjong Kim Sang E; Netherlands eScience Center (NWO), Amsterdam, Netherlands., Elfrink A; Department of Psychology, Health Technology, University of Twente, Enschede, Netherlands., Libbertz-Mohr LB; Department of Psychology, Health Technology, University of Twente, Enschede, Netherlands., Veldkamp BP; Department of Research Methodology, Measurement Data Analysis, University of Twente, Enschede, Netherlands., Westerhof GJ; Department of Psychology, Health Technology, University of Twente, Enschede, Netherlands.
Jazyk:	angličtina
Zdroj:	Frontiers in psychiatry [Front Psychiatry] 2021 Dec 15; Vol. 12, pp. 575931. Date of Electronic Publication: 2021 Dec 15 (Print Publication: 2021).
DOI:	10.3389/fpsyt.2021.575931
Abstrakt:	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 "Alcohol de Baas" intervention by Tactus. Our analyses indicate that the email texts contain information about drop-out, but as drop-out is a multidimensional construct, it remains a complex task to accurately predict who will drop out. Nevertheless, by taking this approach, we present insight into the possibilities of working with email data and present some preliminary findings (which stress the importance of a good working alliance between client and counselor, distinguish between formal and informal language, and highlight the importance of Tactus' internet forum). Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2021 Smink, Sools, Postel, Tjong Kim Sang, Elfrink, Libbertz-Mohr, Veldkamp and Westerhof.)
Databáze:	MEDLINE
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