Evidence map›Paper›PMID 32879540›Full record

ArticleCognitive therapy and research2019

Predictors of Dropout in Internet-Based Cognitive Behavioral Therapy for Depression.

Iony D Schmidt, Nicholas R Forand, Daniel R Strunk

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cognitive therapy and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 14% of its field
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

48 citing papers in PubMed, 3 syntheses or guidelines pooled it, 100 citations in OpenAlex.

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  11. User Experience Affects Dropout from Internet-Delivered Dialectical Behavior Therapy.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2020
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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

3 authors at 2 institutions in 1 country.

Iony D SchmidtDepartment of Psychology, The Ohio State University, 1835 Neil Avenue, Columbus, OH 43210, United States.
Nicholas R ForandThe Barbara and Donald Zucker School of Medicine at Hofstra/Northwell, 500 Hofstra Blvd, Hempstead, NY 11549, United States.
Daniel R StrunkDepartment of Psychology, The Ohio State University, 1835 Neil Avenue, Columbus, OH 43210, United States.
The Ohio State University · USDonald & Barbara Zucker School of Medicine at Hofstra/Northwell · US

Funding

The Ohio State University Center for Clinical and Translational ScienceKL2TR001068 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$2.7M
NCATS NIH HHS KL2 TR001068
6 · The paper itself

Abstract

Internet-based cognitive behavioral therapy (iCBT), provided with guidance, has been shown to outperform wait-list control conditions and appears to perform on par with face-to-face psychotherapy. However, dropout remains an important problem. Dropout rates for iCBT programs for depression have ranged from 0% to 75%, with a mean of 32%. Drawing from a recent study in which 117 people participated in iCBT with support, we examined participant characteristics, participants' use of iCBT skills, and their experience of technical difficulties with iCBT as predictors of dropout risk. Educational level, extraversion, and participant skill use predicted lower risk of dropout; technical difficulties and openness predicted higher dropout risk. We encourage future research on predictors of dropout in the hope that greater understanding of dropout risk will inform efforts to promote program engagement and retention.

Indexed as

depressiondropoutinternet-based cognitive behavioral therapy

Identifiers

PMID32879540
PMCPMC7462416
OpenAlexW2901198098

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.