[Online therapy for depressive disorders : An acceptance-based analysis from the perspective of therapists].

Onlinetherapie bei depressiven Störungen : Eine Akzeptanzanalyse aus der Perspektive der Behandelnden.

Journal

Der Nervenarzt
ISSN: 1433-0407
Titre abrégé: Nervenarzt
Pays: Germany
ID NLM: 0400773

Informations de publication

Date de publication:
Mar 2020
Historique:
pubmed: 6 6 2019
medline: 31 7 2020
entrez: 6 6 2019
Statut: ppublish

Résumé

The supply of online therapy options for mild to moderate depressive disorders has substantially risen both nationally and internationally in the past years. While the efficacy and efficiency of specific online-based therapeutic services were indicated within the framework of scientific evaluations, little is known about the acceptance of these new therapy options. In a nationwide online survey of online-based therapy options for mild to moderate depressive disorders, the attitude and stance as well as the use intention and the subjectively perceived knowledge of 657 medical practitioners and therapists, active in psychotherapeutic and psychiatric treatment were collated. The impact of the potential predictors on the use intention of online-based therapies, based on the unified theory of acceptance and use of technology, was analyzed by means of a binary logistic regression model. Besides the perceived performance and expense expectations, the supportive framework conditions, the influence of the cooperative environment, the individual technical affinity as well as the evaluation of the prospective significance of online-based therapy proved to be significantly influential predictors on the user intention. Special predictability for a positive user intention was shown related to the perceived potential of online therapy. The results underline the relevance of further evidence-basing of online therapy for mild to moderate depressive disorders. A user-oriented, participatory technology development proves to be just as relevant as a comprehensive sensitization, elucidation and education of potential users for a successful implementation.

Sections du résumé

BACKGROUND BACKGROUND
The supply of online therapy options for mild to moderate depressive disorders has substantially risen both nationally and internationally in the past years. While the efficacy and efficiency of specific online-based therapeutic services were indicated within the framework of scientific evaluations, little is known about the acceptance of these new therapy options.
METHODS METHODS
In a nationwide online survey of online-based therapy options for mild to moderate depressive disorders, the attitude and stance as well as the use intention and the subjectively perceived knowledge of 657 medical practitioners and therapists, active in psychotherapeutic and psychiatric treatment were collated. The impact of the potential predictors on the use intention of online-based therapies, based on the unified theory of acceptance and use of technology, was analyzed by means of a binary logistic regression model.
RESULTS RESULTS
Besides the perceived performance and expense expectations, the supportive framework conditions, the influence of the cooperative environment, the individual technical affinity as well as the evaluation of the prospective significance of online-based therapy proved to be significantly influential predictors on the user intention. Special predictability for a positive user intention was shown related to the perceived potential of online therapy.
CONCLUSION CONCLUSIONS
The results underline the relevance of further evidence-basing of online therapy for mild to moderate depressive disorders. A user-oriented, participatory technology development proves to be just as relevant as a comprehensive sensitization, elucidation and education of potential users for a successful implementation.

Identifiants

pubmed: 31165209
doi: 10.1007/s00115-019-0730-6
pii: 10.1007/s00115-019-0730-6
doi:

Types de publication

Journal Article

Langues

ger

Sous-ensembles de citation

IM

Pagination

243-251

Références

Depress Anxiety. 2018 Mar;35(3):209-219
pubmed: 29329486
J Affect Disord. 2015 Nov 15;187:136-41
pubmed: 26331687
Health Serv Res. 2001 Dec;36(6 Pt 1):987-1007
pubmed: 11775672
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pubmed: 27629999
Telemed J E Health. 2016 Feb;22(2):87-113
pubmed: 26624248
Nervenarzt. 2014 Jan;85(1):77-87
pubmed: 24441882
Diabetes Res Clin Pract. 2014 Jul;105(1):30-9
pubmed: 24862240
J Affect Disord. 2015 May 1;176:9-17
pubmed: 25682378

Auteurs

Christoph Dockweiler (C)

Fakultät für Gesundheitswissenschaften, Universität Bielefeld, Universitätsstraße 25, 33501, Bielefeld, Deutschland. christoph.dockweiler@uni-bielefeld.de.

Anna Kupitz (A)

Deutsches Kinderschmerzzentrum, Universität Witten/Herdecke, Dr.-Friedrich-Steiner Str. 5, 45711, Datteln, Deutschland.

Sarah Palmdorf (S)

Fakultät für Gesundheitswissenschaften, Universität Bielefeld, Universitätsstraße 25, 33501, Bielefeld, Deutschland.

Claudia Hornberg (C)

Fakultät für Gesundheitswissenschaften, Universität Bielefeld, Universitätsstraße 25, 33501, Bielefeld, Deutschland.

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Classifications MeSH