Evidence map›Paper›PMID 41660037›Full record

ArticleFrontiers in education2022

How Effective Are School Professionals at Identifying Students Who Might Benefit From Cognitive Behavioral Therapy? Baseline Data From the Adaptive School-Based Implementation of Cognitive Behavioral Therapy Trial.

Seo Youn Choi, Amy Rusch, Elizabeth Koschmann, Emily L Bilek, Annalise Lane, James L Abelson, Daniel Eisenberg, Joseph A Himle, Kate D Fitzgerald, Celeste Liebrecht and 2 more

Abstract read
In one paragraph

Article in Frontiers in education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Article
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

12 authors.

Seo Youn ChoiDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Amy RuschDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
Elizabeth KoschmannDepartment of Psychiatry, School of Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI, United States.
Emily L BilekDepartment of Psychiatry, School of Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI, United States.
Annalise LaneDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
James L AbelsonDepartment of Psychiatry, School of Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI, United States.
Daniel EisenbergDepartment of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States.
Joseph A HimleDepartment of Psychiatry, School of Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI, United States.
Kate D FitzgeraldDepartment of Psychiatry, Columbia University Irving Medical Center/New York State Psychiatric Institute, New York, NY, United States.
Celeste LiebrechtDepartment of Learning Health Sciences, School of Medicine, University of Michigan, Ann Arbor, MI, United States.
Amy M KilbourneDepartment of Learning Health Sciences, School of Medicine, University of Michigan, Ann Arbor, MI, United States.
Shawna N SmithDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, United States.

Funding

Improving Student Mental Health: Adaptive Implementation of School-based CBTR01MH114203 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KILBOURNE, AMY M · 2017 to 2021
$3.6M
Improving Mental Health Outcomes: Buidling an Adaptive Implementation StrategyR01MH099898 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KILBOURNE, AMY M · 2014 to 2017
$1.9M
NIMH NIH HHS R01 MH099898NIMH NIH HHS R01 MH114203
6 · The paper itself

Abstract

School professionals (SPs) are increasingly tasked with providing mental health treatment for students. Successful implementation of school-based mental health evidence-based practices (EBPs) can reduce students' depression and anxiety, but requires identification of appropriate students to benefit from these interventions. We examined the ability of SPs to identify students appropriate for cognitive behavioral therapy (CBT), using baseline data collected from a large-scale implementation trial. One hundred sixty-nine SPs from 94 Michigan high schools were asked to identify up to 10 students whom they believed could benefit from CBT. Identified students were asked to complete a baseline survey. We examined the proportion of consented students who screened positive for depression or anxiety, based on the Patient Health Questionnaire modified for teens and the Generalized Anxiety Disorder questionnaire, overall and by key school- and SP-level factors. Of the 1,347 students identified by 149 SPs, 899 students completed the survey. Of those students, 87% exhibited any depression or anxiety symptoms (score of five or higher) and 66% showed moderate/severe symptoms (score of ten or higher). Per SP, the proportion of consented students who screened positive for any depression or anxiety symptoms was, on average, 0.88. The effectiveness of SPs' student identification did not vary significantly by school-specific role, prior CBT training, or geography. Results suggest that SPs can effectively identify students appropriate for CBT given minimal training and resources, an important first step in increasing student access to school-based mental healthcare.

Indexed as

anxietyCBTdepressionidentificationschool-based mental healthstudents

Identifiers

PMID41660037
PMCPMC12875673

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.