Evidence map›Paper›PMID 42577969›Full record

ArticleEvidence-based practice in child and adolescent mental health2026

Team-Effectiveness Barriers and Solutions to Depression Screening within a Pediatric Hospital Network: A Qualitative Study.

William Bevens, Lauren Brookman-Frazee, Hannah N Edwards, Cynthia Kuelbs, Nicole A Stadnick

Abstract read
In one paragraph

Article in Evidence-based practice in child and adolescent mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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5 · Who and what money

Authors and funding

5 authors.

William BevensDepartment of Psychiatry, University of California, San Diego, CA, USA.
Lauren Brookman-FrazeeDepartment of Psychiatry, University of California, San Diego, CA, USA.
Hannah N EdwardsDepartment of Psychiatry, University of California, San Diego, CA, USA.
Cynthia KuelbsRady Children's Hospital, San Diego, CA, USA.
Nicole A StadnickDepartment of Psychiatry, University of California, San Diego, CA, USA.ORCID 0000-0001-6520-2920

Funding

Enhancing team effectiveness for a collaborative school-based intervention for ADHDP50MH126231 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GREGORY AARONS, LAUREN BROOKMAN-FRAZEE · 2022 to 2026
$13.9M
NIMH NIH HHS P50 MH126231
6 · The paper itself

Abstract

Background: An increasing number of hospital systems have implemented universal depression screening protocols in response to the growing prevalence of pediatric depression. However, to date no studies have qualitatively explored how the sustainment of depression screening workflow functions in practice. Objective: To characterize the workflow for an existing universal depression screening pathway within a large pediatric healthcare system and explore barriers and solutions to barriers in implementing the workflow effectively. Method: Eight focus groups with 37 staff members in a large pediatric hospital system were conducted. Participants were considered eligible if they were involved in depression screening within their unit. Focus groups were recorded, transcribed, and analyzed for themes using rapid qualitative analysis. Results: Six barriers and five proposed solutions were identified as common themes across units, organized along three stages of the depression care cascade: screening, assessment and resources, and disposition planning. Key barriers included the language appropriateness of the Patient Health Questionnaire-9 (PHQ-9) for younger and neurodivergent patients, siloing of medical and behavioral health roles, and lack of infrastructure for follow-up after referral. Proposed solutions included adapting screening language, cross-training staff in mental health assessment, and designating dedicated roles for follow-up. Conclusions: Our findings suggest that strategies aimed at improving how teams work together could assist hospitals in delivering depression screening at all stages through better team coordination and role clarification.

Identifiers

PMID42577969
PMCPMC13456526

What Socratic 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 Socratic graph.