Evidence map›Paper›PMID 42347786›Full record

ArticlePsychological services2026

Potential agency and supervisor solutions to address burnout: Insights from clinicians in community mental health agencies across Washington State.

Celine Lu, Priyanka Ghosh Choudhuri, Kai Bailey, Priya Dahiya, Shannon Dorsey

Abstract read
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

5 authors.

Celine LuDepartment of Psychology, University of Washington.ORCID 0000-0002-7018-6627
Priyanka Ghosh ChoudhuriDepartment of Psychiatry, University of Washington.
Kai BaileyDepartment of Psychology, University of Washington.
Priya DahiyaDepartment of Psychology, University of Washington.
Shannon DorseyDepartment of Psychology, University of Washington.

Funding

Project 3P50MH126219 · NIMH · UNIVERSITY OF WASHINGTON · PI WEINER, BRYAN J. · 2021 to 2024
$5.9M
NIH HHSNIMH NIH HHS P50 MH126219University of Washington (UW); Harry Bridges Center for Labor StudiesUniversity of Washington (UW); Office of the ProvostWashington State Division of Behavioral Health and Recovery; CBT+ Initiative
6 · The paper itself

Abstract

Community mental health (CMH) clinicians are at high risk of developing burnout, which can lead to poor clinician well-being, worse quality patient-care, and employee turnover. However, little is known about strategies CMH agencies and supervisors are currently implementing or could implement, to reduce clinician burnout. This mixed methods study gathered perspectives from 141 CMH clinicians participating in a state-funded evidence-based treatment training initiative called cognitive behavioral therapy plus, on strategies for addressing clinician burnout. Questions related to burnout were added to the cognitive behavioral therapy plus 2022-2023 pretraining evaluation survey. Using a modified free-list technique in an online survey, participants suggested agency or supervisor solutions they felt would be helpful to reduce their burnout and answered a follow-up question indicating whether each solution was currently being implemented by their agency/supervisor. Thirty-three distinct burnout strategies spanning six domains-client-related, structural support, teams, emotional support, other supervisor support, and self-care-emerged through qualitative content analysis. Next, qualitative data were "quantitized" and were examined using confidence intervals to estimate the prevalence of the offered solutions. Encouragingly, many of the top-endorsed strategies (e.g.,

Identifiers

PMID42347786
PMCPMC13418426

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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.