Evidence map›Paper›PMID 42671808›Full record

ArticlePsychological services2026

The impact of artificial intelligence-based clinical training on burnout among practitioners treating serious mental illness.

Matteo Bugatti, Emma Hills, Christina S Soma, Rachel M Brian, Emma Freetly Porter, Jeremy J Coleman, Jesse Owen, Zac E Imel, Sarah L Kopelovich

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychological services, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Matteo BugattiSchool of Psychological Science, College of Liberal Arts, Oregon State University.ORCID 0000-0001-5640-0992
Emma HillsSchool of Psychological Science, College of Liberal Arts, Oregon State University.ORCID 0009-0008-2293-218X
Christina S SomaLyssn.io.ORCID 0000-0002-3607-6643
Rachel M BrianDepartment of Psychiatry and Behavioral Services, School of Medicine, University of Washington.
Emma Freetly PorterDepartment of Psychology, Gordon F. Derner School of Psychology, Adelphi University.ORCID 0009-0009-3321-384X
Jeremy J ColemanDepartment of Counseling Psychology, College of Education, University of Utah.ORCID 0000-0002-8026-2101
Jesse OwenDepartment of Counseling Psychology, Morgridge College of Education, University of Denver.
Zac E ImelLyssn.io.ORCID 0000-0001-9645-7184
Sarah L KopelovichDepartment of Psychiatry and Behavioral Services, School of Medicine, University of Washington.ORCID 0000-0003-1047-2952

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
National Institutes of Health; National Institute of Mental HealthNIMH NIH HHS R42 MH123215
6 · The paper itself

Abstract

Burnout is a pervasive challenge in the mental health field, particularly among practitioners treating serious mental illness. Although skills-based training may reduce burnout, many programs are not equipped to support continued engagement. Recent advances suggest artificial intelligence (AI) may address these limitations. This study compared provider burnout after receiving standard web-based didactic training (treatment as usual [TAU]) to TAU plus an AI-supported training platform (TAU + AI) that included immediate feedback. Participants were frontline behavioral health providers working with clients with serious mental illness, where burnout was assessed at baseline and 3-month follow-up. Across groups, burnout significantly increased from pre- to posttraining,

Identifiers

PMID42671808
PMCPMC13533452

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.