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Use of a Fully Automated Internet-Based Cognitive Behavior Therapy Intervention in a Community Population of Adults With Depression Symptoms: Randomized Controlled Trial

BACKGROUND: Although internet-based cognitive behavior therapy (iCBT) interventions can reduce depression symptoms, large differences in their effectiveness exist. OBJECTIVE: The aim of this study was to evaluate the effectiveness of an iCBT intervention called Thrive, which was designed to enhance...

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Autores principales: Schure, Mark B, Lindow, Janet C, Greist, John H, Nakonezny, Paul A, Bailey, Sandra J, Bryan, William L, Byerly, Matthew J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6887812/
https://www.ncbi.nlm.nih.gov/pubmed/31738173
http://dx.doi.org/10.2196/14754
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author Schure, Mark B
Lindow, Janet C
Greist, John H
Nakonezny, Paul A
Bailey, Sandra J
Bryan, William L
Byerly, Matthew J
author_facet Schure, Mark B
Lindow, Janet C
Greist, John H
Nakonezny, Paul A
Bailey, Sandra J
Bryan, William L
Byerly, Matthew J
author_sort Schure, Mark B
collection PubMed
description BACKGROUND: Although internet-based cognitive behavior therapy (iCBT) interventions can reduce depression symptoms, large differences in their effectiveness exist. OBJECTIVE: The aim of this study was to evaluate the effectiveness of an iCBT intervention called Thrive, which was designed to enhance engagement when delivered as a fully automated, stand-alone intervention to a rural community population of adults with depression symptoms. METHODS: Using no diagnostic or treatment exclusions, 343 adults with depression symptoms were recruited from communities using an open-access website and randomized 1:1 to the Thrive intervention group or the control group. Using self-reports, participants were evaluated at baseline and 4 and 8 weeks for the primary outcome of depression symptom severity and secondary outcome measures of anxiety symptoms, work and social adjustment, psychological resilience, and suicidal ideation. RESULTS: Over the 8-week follow-up period, the intervention group (n=181) had significantly lower depression symptom severity than the control group (n=162; P<.001), with a moderate treatment effect size (d=0.63). Moderate to near-moderate effect sizes favoring the intervention group were observed for anxiety symptoms (P<.001; d=0.47), work/social functioning (P<.001; d=0.39), and resilience (P<.001; d=0.55). Although not significant, the intervention group was 45% less likely than the control group to experience increased suicidal ideation (odds ratio 0.55). CONCLUSIONS: These findings suggest that the Thrive intervention was effective in reducing depression and anxiety symptom severity and improving functioning and resilience among a mostly rural community population of US adults. The effect sizes associated with Thrive were generally larger than those of other iCBT interventions delivered as a fully automated, stand-alone intervention. TRIAL REGISTRATION: ClinicalTrials.gov NCT03244878; https://clinicaltrials.gov/ct2/show/NCT03244878
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spelling pubmed-68878122019-12-12 Use of a Fully Automated Internet-Based Cognitive Behavior Therapy Intervention in a Community Population of Adults With Depression Symptoms: Randomized Controlled Trial Schure, Mark B Lindow, Janet C Greist, John H Nakonezny, Paul A Bailey, Sandra J Bryan, William L Byerly, Matthew J J Med Internet Res Original Paper BACKGROUND: Although internet-based cognitive behavior therapy (iCBT) interventions can reduce depression symptoms, large differences in their effectiveness exist. OBJECTIVE: The aim of this study was to evaluate the effectiveness of an iCBT intervention called Thrive, which was designed to enhance engagement when delivered as a fully automated, stand-alone intervention to a rural community population of adults with depression symptoms. METHODS: Using no diagnostic or treatment exclusions, 343 adults with depression symptoms were recruited from communities using an open-access website and randomized 1:1 to the Thrive intervention group or the control group. Using self-reports, participants were evaluated at baseline and 4 and 8 weeks for the primary outcome of depression symptom severity and secondary outcome measures of anxiety symptoms, work and social adjustment, psychological resilience, and suicidal ideation. RESULTS: Over the 8-week follow-up period, the intervention group (n=181) had significantly lower depression symptom severity than the control group (n=162; P<.001), with a moderate treatment effect size (d=0.63). Moderate to near-moderate effect sizes favoring the intervention group were observed for anxiety symptoms (P<.001; d=0.47), work/social functioning (P<.001; d=0.39), and resilience (P<.001; d=0.55). Although not significant, the intervention group was 45% less likely than the control group to experience increased suicidal ideation (odds ratio 0.55). CONCLUSIONS: These findings suggest that the Thrive intervention was effective in reducing depression and anxiety symptom severity and improving functioning and resilience among a mostly rural community population of US adults. The effect sizes associated with Thrive were generally larger than those of other iCBT interventions delivered as a fully automated, stand-alone intervention. TRIAL REGISTRATION: ClinicalTrials.gov NCT03244878; https://clinicaltrials.gov/ct2/show/NCT03244878 JMIR Publications 2019-11-18 /pmc/articles/PMC6887812/ /pubmed/31738173 http://dx.doi.org/10.2196/14754 Text en ©Mark B Schure, Janet C Lindow, John H Greist, Paul A Nakonezny, Sandra J Bailey, William L Bryan, Matthew J Byerly. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 18.11.2019. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Schure, Mark B
Lindow, Janet C
Greist, John H
Nakonezny, Paul A
Bailey, Sandra J
Bryan, William L
Byerly, Matthew J
Use of a Fully Automated Internet-Based Cognitive Behavior Therapy Intervention in a Community Population of Adults With Depression Symptoms: Randomized Controlled Trial
title Use of a Fully Automated Internet-Based Cognitive Behavior Therapy Intervention in a Community Population of Adults With Depression Symptoms: Randomized Controlled Trial
title_full Use of a Fully Automated Internet-Based Cognitive Behavior Therapy Intervention in a Community Population of Adults With Depression Symptoms: Randomized Controlled Trial
title_fullStr Use of a Fully Automated Internet-Based Cognitive Behavior Therapy Intervention in a Community Population of Adults With Depression Symptoms: Randomized Controlled Trial
title_full_unstemmed Use of a Fully Automated Internet-Based Cognitive Behavior Therapy Intervention in a Community Population of Adults With Depression Symptoms: Randomized Controlled Trial
title_short Use of a Fully Automated Internet-Based Cognitive Behavior Therapy Intervention in a Community Population of Adults With Depression Symptoms: Randomized Controlled Trial
title_sort use of a fully automated internet-based cognitive behavior therapy intervention in a community population of adults with depression symptoms: randomized controlled trial
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6887812/
https://www.ncbi.nlm.nih.gov/pubmed/31738173
http://dx.doi.org/10.2196/14754
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