Evidence map›Paper›PMID 40095965›Full record

ArticlePsychotherapy (Chicago, Ill.)2025

Development and validation of a cognitive behavioral therapy for psychosis online training with automated feedback.

Sarah L Kopelovich, Rachel M Brian, Mike Tanana, Roisín Slevin, Brian Pace, Shannon K Stewart, Victoria Shepard, Dror Ben-Zeev, Scott A Baldwin, Christina S Soma and 2 more

Abstract readValidation Study
In one paragraph

Article in Psychotherapy (Chicago, Ill.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Sarah L KopelovichDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine.ORCID 0000-0003-1047-2952
Rachel M BrianDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine.
Mike Tanana
Roisín Slevin
Brian Pace
Shannon K StewartDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine.
Victoria ShepardDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine.
Dror Ben-ZeevDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine.
Scott A Baldwin
Christina S Soma
Sarah Stanco
Zac Imel

Funding

CBTpro: Scaling up CBT for psychosis using simulated patients and spoken language technologiesR42MH123215 · NIMH · LYSSN.IO, INC. · PI KOPELOVICH, SARAH LYNN · 2020 to 2023
$2.4M
NIMH NIH HHS R42 MH123215
6 · The paper itself

Abstract

The accessibility of training and fidelity assessment is critical to implementing and sustaining empirically supported psychotherapies like cognitive behavioral therapy for psychosis (CBTp). We describe the development of an online CBTp training tool that incorporates behavioral rehearsal tasks to enable deliberate practice of cognitive and behavioral techniques for psychosis. The development process consisted of designing content, inclusive of didactics, client profiles, and learner prompts; constructing standardized performance tasks and metrics; collecting responses to learner prompts; establishing intraclass correlation (ICC) of responses among trained raters; and training a transformer-based machine learning (ML) model to meet or surpass human ICC. Authenticity ratings of each simulated client surpassed benchmarks. CBTp trainers (

Indexed as

Cognitive Behavioral TherapyPsychotic DisordersAdultClinical CompetenceFemaleHumansMachine LearningMaleReproducibility of Results

Identifiers

PMID40095965
PMCPMC11921910

What OpenQuestion holds

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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.