Cited by 33Digital Mental Health InterventionsAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesPsychological Treatments and Assessments

Predictors of treatment outcomes and adherence in internet-based cognitive behavioral therapy for social anxiety in China

Open access
Chen, Huijing, Rodriguez, Marcus A., Qian, Mingyi, Kishimoto, Tomoko, Lin, Muyu, Berger, Thomas·2020·Behavioural and Cognitive Psychotherapy

Published version of a preprint

Abstract

Background: Although internet-based cognitive behaviour therapy (ICBT) is an effective treatment for social anxiety disorder (SAD), a substantial proportion of patients do not achieve clinically significant improvement. More research is needed to identify which factors predict treatment adherence and outcomes. Aims: The aims of this study were to (1) identify demographic and clinical factors associated with treatment adherence and outcomes in ICBT for social anxiety in China, and (2) explore whether low-intensity therapist support results in improved treatment adherence or outcomes. Method: Participants were assigned to either therapist-guided ( N = 183) or self-guided ICBT ( N = 72). Level of social anxiety was measured at both pre- and post-treatment. Treatment adherence and outcomes were analysed using a two-step linear and logistic regression approach. Clinical and demographic characteristics were examined. Results: No significant group differences were found for treatment adherence or outcomes between the therapist-guided and self-guided conditions. Participants diagnosed with SAD were significantly less likely to drop out (OR 0.531, p = .03) compared with subclinical participants with social anxiety symptoms. Older participants ( B = 0.17, SE = 0.04, p = .008) and participants with a diagnosis of SAD ( B = 0.16, SE = 0.44, p = .01) tended to complete more modules. Participants who completed more modules ( B = 0.24, SE = 0.03, p = .01) and participants who identified as female ( B = –0.20, SE = 0.18, p = .04) reported greater reductions in SAD symptoms. Conclusions: Understanding of factors related to adherence and outcome is necessary to prevent drop-out and optimize outcome.

Integrity signals

Registry

Crossref · 10.1017/s1352465819000730

Cites

62 of 62 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

4 of the 66 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Chen, H., Rodriguez, M. A., Qian, M., Kishimoto, T., Lin, M., & Berger, T.
Affiliations
  • Peking University (CN)
  • Pitzer College (US)
  • University of Bern (CH)
Corresponding author
Qian, Mingyi
Venue
Behavioural and Cognitive Psychotherapy
Published
2020-01-13
Volume
48
Issue
3
Pages
291-303
ISSN
  • 1352-4658 (ISSN-L)
  • 1469-1833
OpenAlex
W2998800858
Cited by
33
References
66
Citations by year
2026: 5 · 2025: 8 · 2024: 6 · 2023: 2 · 2022: 4 · 2021: 7 · 2020: 1
FWCI
3.17
Type
journal article
Language
en
Open access
Locations
  • Behavioural and Cognitive Psychotherapy (publishedVersion)
  • PubMed (publishedVersion)
  • Bern Open Repository and Information System (University of Bern) (submittedVersion)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Social Sciences › Psychology › Clinical Psychology › Psychological Treatments and Assessments
Keywords
internet-based cognitive behavioral therapy, social anxiety disorder, medication adherence, predictors of treatment outcome, treatment discontinuation, demographic factors
MeSH terms
Anxiety, China, Female, Humans, Cognitive Behavioral Therapy, Treatment Outcome, Internet

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review