Evidence map›Paper›PMID 30632965›Full record

ArticleJournal of medical Internet research2019

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

Hugh Cameron McCall, Fjola Dogg Helgadottir, Ross G Menzies, Heather D Hadjistavropoulos, Frances S Chen

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Increasing the Impact of JMIR Journals in the Attention Economy.Journal of medical Internet research · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hugh Cameron McCallDepartment of Psychology, University of Regina, Regina, SK, Canada.ORCID 0000-0001-7198-9539
Fjola Dogg HelgadottirAI-Therapy, North Vancouver, BC, Canada.ORCID 0000-0002-3946-4246
Ross G MenziesGraduate School of Health, University of Technology Sydney, Sydney, Australia.ORCID 0000-0002-7589-960X
Heather D HadjistavropoulosDepartment of Psychology, University of Regina, Regina, SK, Canada.ORCID 0000-0002-7092-9056
Frances S ChenDepartment of Psychology, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0003-2322-1095

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial 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.

objectiveThe 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.

methodsWhile 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).

resultsParticipants 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).

conclusionsOur 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.

Indexed as

AdultAnxiety DisordersCognitive Behavioral TherapyFemaleHumansInternetMalePsychotherapyResidence CharacteristicsRetrospective StudiesSurveys and QuestionnairesYoung Adultcognitive behavioral therapyinternetmental healthpsychotherapysocial anxiety

Identifiers

PMID30632965
PMCPMC6329899

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.