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Evaluating a Web-Based Social Anxiety Intervention Among Community Users: Analysis of Real-World Data

BACKGROUND: Social anxiety is both harmful and prevalent. It also currently remains among the most undertreated major mental disorders, due, in part, to socially anxious individuals’ concerns about the stigma and expense of seeking help. The privacy and affordability of computer-aided psychotherapy...

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Autores principales: McCall, Hugh Cameron, Helgadottir, Fjola Dogg, Menzies, Ross G, Hadjistavropoulos, Heather D, Chen, Frances S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329899/
https://www.ncbi.nlm.nih.gov/pubmed/30632965
http://dx.doi.org/10.2196/11566
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author McCall, Hugh Cameron
Helgadottir, Fjola Dogg
Menzies, Ross G
Hadjistavropoulos, Heather D
Chen, Frances S
author_facet McCall, Hugh Cameron
Helgadottir, Fjola Dogg
Menzies, Ross G
Hadjistavropoulos, Heather D
Chen, Frances S
author_sort McCall, Hugh Cameron
collection PubMed
description BACKGROUND: Social anxiety is both harmful and prevalent. It also currently remains among the most undertreated major mental disorders, due, in part, to socially anxious individuals’ concerns about the stigma and expense of seeking help. The privacy and affordability of computer-aided psychotherapy interventions may render them particularly helpful in addressing these concerns, and they are also highly scalable, but most tend to be only somewhat effective without therapist support. However, a recent evaluation of a new self-guided, 7-module internet-delivered cognitive behavioral therapy intervention called Overcome Social Anxiety found that it was highly effective. OBJECTIVE: The initial evaluation of Overcome Social Anxiety revealed that it led to significant reductions in symptom severity among university undergraduates. The aim of this study was to extend the results of the initial study and investigate their generalizability by directly evaluating the intervention’s effectiveness among a general community sample. METHODS: While signing up for Overcome Social Anxiety, users consented to the usage of their anonymized outcome data for research purposes. Before and after completing the intervention, users completed the Fear of Negative Evaluation Scale (FNE), which we employed as the primary outcome measure. Secondary outcome measures included the Depression Anxiety Stress Scales (DASS) and 2 bespoke questionnaires measuring socially anxious thoughts (Thoughts Questionnaire) and avoidance behaviors (Avoidance Questionnaire). RESULTS: Participants who completed the intervention (102/369, 27.7%) experienced significant reductions in the severity of their symptoms on all measures employed, including FNE (P<.001; Cohen d=1.76), the depression subscale of DASS (P<.001; Cohen d=0.70), the anxiety subscale of DASS (P<.001; Cohen d=0.74), the stress subscale of DASS (P<.001; Cohen d=0.80), the Thoughts Questionnaire (P<.001; Cohen d=1.46), and the Avoidance Questionnaire (P<.001; Cohen d=1.42). CONCLUSIONS: Our results provide further evidence that Overcome Social Anxiety reduces the severity of social anxiety symptoms among those who complete it and suggest that its effectiveness extends to the general community. The completion rate is the highest documented for a fully automated intervention for anxiety, depression, or low mood in a real community sample. In addition, our results indicate that Overcome Social Anxiety reduces the severity of symptoms of depression, physiological symptoms of anxiety, and stress in addition to symptoms of social anxiety.
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spelling pubmed-63298992019-02-11 Evaluating a Web-Based Social Anxiety Intervention Among Community Users: Analysis of Real-World Data McCall, Hugh Cameron Helgadottir, Fjola Dogg Menzies, Ross G Hadjistavropoulos, Heather D Chen, Frances S J Med Internet Res Original Paper BACKGROUND: Social anxiety is both harmful and prevalent. It also currently remains among the most undertreated major mental disorders, due, in part, to socially anxious individuals’ concerns about the stigma and expense of seeking help. The privacy and affordability of computer-aided psychotherapy interventions may render them particularly helpful in addressing these concerns, and they are also highly scalable, but most tend to be only somewhat effective without therapist support. However, a recent evaluation of a new self-guided, 7-module internet-delivered cognitive behavioral therapy intervention called Overcome Social Anxiety found that it was highly effective. OBJECTIVE: The initial evaluation of Overcome Social Anxiety revealed that it led to significant reductions in symptom severity among university undergraduates. The aim of this study was to extend the results of the initial study and investigate their generalizability by directly evaluating the intervention’s effectiveness among a general community sample. METHODS: While signing up for Overcome Social Anxiety, users consented to the usage of their anonymized outcome data for research purposes. Before and after completing the intervention, users completed the Fear of Negative Evaluation Scale (FNE), which we employed as the primary outcome measure. Secondary outcome measures included the Depression Anxiety Stress Scales (DASS) and 2 bespoke questionnaires measuring socially anxious thoughts (Thoughts Questionnaire) and avoidance behaviors (Avoidance Questionnaire). RESULTS: Participants who completed the intervention (102/369, 27.7%) experienced significant reductions in the severity of their symptoms on all measures employed, including FNE (P<.001; Cohen d=1.76), the depression subscale of DASS (P<.001; Cohen d=0.70), the anxiety subscale of DASS (P<.001; Cohen d=0.74), the stress subscale of DASS (P<.001; Cohen d=0.80), the Thoughts Questionnaire (P<.001; Cohen d=1.46), and the Avoidance Questionnaire (P<.001; Cohen d=1.42). CONCLUSIONS: Our results provide further evidence that Overcome Social Anxiety reduces the severity of social anxiety symptoms among those who complete it and suggest that its effectiveness extends to the general community. The completion rate is the highest documented for a fully automated intervention for anxiety, depression, or low mood in a real community sample. In addition, our results indicate that Overcome Social Anxiety reduces the severity of symptoms of depression, physiological symptoms of anxiety, and stress in addition to symptoms of social anxiety. JMIR Publications 2019-01-10 /pmc/articles/PMC6329899/ /pubmed/30632965 http://dx.doi.org/10.2196/11566 Text en ©Hugh Cameron McCall, Fjola Dogg Helgadottir, Ross G Menzies, Heather D Hadjistavropoulos, Frances S Chen. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 10.01.2019. 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
McCall, Hugh Cameron
Helgadottir, Fjola Dogg
Menzies, Ross G
Hadjistavropoulos, Heather D
Chen, Frances S
Evaluating a Web-Based Social Anxiety Intervention Among Community Users: Analysis of Real-World Data
title Evaluating a Web-Based Social Anxiety Intervention Among Community Users: Analysis of Real-World Data
title_full Evaluating a Web-Based Social Anxiety Intervention Among Community Users: Analysis of Real-World Data
title_fullStr Evaluating a Web-Based Social Anxiety Intervention Among Community Users: Analysis of Real-World Data
title_full_unstemmed Evaluating a Web-Based Social Anxiety Intervention Among Community Users: Analysis of Real-World Data
title_short Evaluating a Web-Based Social Anxiety Intervention Among Community Users: Analysis of Real-World Data
title_sort evaluating a web-based social anxiety intervention among community users: analysis of real-world data
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6329899/
https://www.ncbi.nlm.nih.gov/pubmed/30632965
http://dx.doi.org/10.2196/11566
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