Man vs. machine: A meta-analysis on the added value of human support in text-based internet treatments ("e-therapy") for mental disorders.
Human guidance
Mental disorders
Optional support
Technological guidance
Text-based internet treatment
Therapist qualification
Journal
Clinical psychology review
ISSN: 1873-7811
Titre abrégé: Clin Psychol Rev
Pays: United States
ID NLM: 8111117
Informations de publication
Date de publication:
08 2022
08 2022
Historique:
received:
03
09
2021
revised:
28
04
2022
accepted:
04
06
2022
pubmed:
29
6
2022
medline:
24
8
2022
entrez:
28
6
2022
Statut:
ppublish
Résumé
Guided internet-based treatment is more efficacious than completely unguided or self-guided internet-based treatment, yet within the spectrum of guidance, little is known about the added value of human support compared to more basic forms of guidance. The primary aims of this meta-analysis were: (1) to examine whether human guidance was more efficacious than technological guidance in text-based internet treatments ("e-therapy") for mental disorders, and (2) whether more intensive human guidance outperformed basic forms of human guidance. PsycINFO, PubMed and Web of Science were systematically searched for randomized controlled trials that directly compared various types and degrees of online guidance. Thirty-one studies, totaling 6215 individuals, met inclusion criteria. Results showed that human guidance was slightly more efficacious than technological guidance, both in terms of symptom reduction (g = 0.11; p < .01) and adherence (0.26 < g < 0.29; p's < 0.01). On the spectrum of human support, results were slightly more favorable for regular guidance compared to optional guidance, but only in terms of adherence (OR = 1.89, g = 0.35; p < .05). Higher qualification of online counselors was not associated with efficacy. These findings extend and refine previous reports on guided and unguided online treatments.
Identifiants
pubmed: 35763975
pii: S0272-7358(22)00064-2
doi: 10.1016/j.cpr.2022.102179
pii:
doi:
Types de publication
Journal Article
Meta-Analysis
Review
Systematic Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
102179Informations de copyright
Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.