Evidence map›Paper›PMID 40839336›Full record

Trial reportAdministration and policy in mental health2025

An Examination of Training Quality and Provider Outcomes Across Two Generations of Train-the-Trainer.

Catherine A Callaway, Joshua M Varghese, Emma R Agnew, Laurel D Sarfan, Allison G Harvey

Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Administration and policy in mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04154631 (Implementing and Sustaining a Transdiagnostic Sleep and Circadian Treatment to Improve Severe Mental Illness Outcomes in Community Mental Health Part 1), which is not on this 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.

NCT04154631 nacompletednot on this map

Implementing and Sustaining a Transdiagnostic Sleep and Circadian Treatment to Improve Severe Mental Illness Outcomes in Community Mental Health Part 1: Implementation

TypeinterventionalSponsorUniversity of California, BerkeleyRan2020 to 2023Enrolled489ConditionsSleep Disorder, Circadian DysregulationArmsStandard Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C), Adapted Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C), Usual Care Delayed Treatment
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

5 authors.

Catherine A CallawayDepartment of Psychology, University of California, Berkeley, 2121 Berkeley Way, Berkeley, CA, 94720, USA.
Joshua M VargheseDepartment of Psychology, University of California, Berkeley, 2121 Berkeley Way, Berkeley, CA, 94720, USA.
Emma R AgnewDepartment of Psychology, University of California, Berkeley, 2121 Berkeley Way, Berkeley, CA, 94720, USA.
Laurel D SarfanDepartment of Research and Evaluation, Kaiser Permanente Southern California, 100 S. Los Robles, Pasadena, CA, 91101, USA.
Allison G HarveyDepartment of Psychology, University of California, Berkeley, 2121 Berkeley Way, Berkeley, CA, 94720, USA. aharvey@berkeley.edu.ORCID 0000-0002-8609-0005

Funding

Implementing and Sustaining a Transdiagnostic Sleep and Circadian Treatment to Improve Severe Mental Illness Outcomes in Community Mental Health.R01MH120147 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI HARVEY, ALLISON G · 2019 to 2023
$3.9M
NIMH NIH HHS R01 MH120147NIMH NIH HHS R01MH120147
6 · The paper itself

Abstract

Train-the-trainer (TTT) is a promising method for implementing and sustaining evidence-based psychological treatments (EBPTs) in routine practice. In TTT, external "expert" trainers train an initial provider cohort (i.e., Generation 1) and then train "local" trainers to train the next provider cohort (i.e., Generation 2). This study evaluated whether training quality and provider outcomes are maintained across two generations of TTT in a hybrid type 2 effectiveness-implementation trial. TTT was used to implement the Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C) in community mental health centers (CMHCs) across California, United States. CMHCs were randomized to receive training in either Standard or Adapted TranS-C. Data from both conditions were combined to maximize power. Two expert trainers trained 115 providers (Generation 1), and 25 local trainers trained 42 providers (Generation 2). Trainings were coded for gold standard training elements (TranS-C content, training techniques) using the Gold Standard Training Checklist. Providers completed a post-training assessment which measured TranS-C knowledge, acceptability, appropriateness, and feasibility of TranS-C, and willingness and confidence to use TranS-C. Local trainers delivered more gold standard training techniques than expert trainers. No differences were found between generations on provider outcomes after correcting for multiple comparisons. Sensitivity analyses excluding outliers revealed that providers trained in Generation 2 rated TranS-C as more appropriate to their setting. The extent of gold standard elements delivered in trainings were not related to provider outcomes. These findings support the potential of TTT to sustain, and even improve, training quality and provider outcomes in a CMHC setting.

trial registrationThe parent study was registered on ClinicalTrials.gov (NCT04154631) on 11 April 2019, https//clinicaltrials.gov/study/NCT04154631. This study was preregistered on the Open Science Framework (osfregistrationsx7v38v1).

Indexed as

Evidence-Based PracticeHealth PersonnelAdultCaliforniaCommunity Mental Health CentersFemaleHumansMaleMiddle AgedCommunity mental healthImplementationSerious Mental IllnessSustainmentTrain-the-trainerTransdiagnostic

Identifiers

PMID40839336
PMCPMC12449322

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.