Evidence map›Paper›PMID 40274223›Full record

ArticleAcademic pediatrics2025

Evaluating Clinical Decision Supports to Improve Adolescent Depression Screening and Management in Pediatric Primary Care.

Nathaniel J Glasser, Camron Shirkhodaie, Zachary C Newman, Joanne Wang, Mengqi Zhu, James W Mitchell, Erin Staab, Stephanie Lichtor, Neda Laiteerapong

Abstract read
In one paragraph

Article in Academic pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Nathaniel J GlasserDepartment of Medicine (NJ Glasser, C Shirkhodaie, M Zhu, E Staab, and N Laiteerapong), University of Chicago Medicine, Chicago, Ill. Electronic address: nglasser@uchicago.edu.
Camron ShirkhodaieDepartment of Medicine (NJ Glasser, C Shirkhodaie, M Zhu, E Staab, and N Laiteerapong), University of Chicago Medicine, Chicago, Ill.
Zachary C NewmanUniversity of Chicago Pritzker School of Medicine (ZC Newman), Chicago, Ill.
Joanne WangWashington University in St. Louis School of Medicine (J Wang), St. Louis, Mo.
Mengqi ZhuDepartment of Medicine (NJ Glasser, C Shirkhodaie, M Zhu, E Staab, and N Laiteerapong), University of Chicago Medicine, Chicago, Ill.
James W MitchellDepartment of Pediatrics (JW Mitchell), University of Chicago Medicine, Chicago, Ill.
Erin StaabDepartment of Medicine (NJ Glasser, C Shirkhodaie, M Zhu, E Staab, and N Laiteerapong), University of Chicago Medicine, Chicago, Ill.
Stephanie LichtorDepartment of Psychiatry and Behavioral Sciences, Boston Children's Hospital (S Lichtor), Boston, Mass; Harvard Medical School (S Lichtor), Boston, Mass.
Neda LaiteerapongDepartment of Medicine (NJ Glasser, C Shirkhodaie, M Zhu, E Staab, and N Laiteerapong), University of Chicago Medicine, Chicago, Ill; Department of Psychiatry (N Laiteerapong), University of Chicago Medicine, Chicago, Ill.

Funding

The Institute for Translational MedicineUL1TR002389 · NCATS · UNIVERSITY OF CHICAGO · PI Joshua J Jacobs, DAVID O MELTZER · 2017 to 2026
$71.6M
NCATS NIH HHS UL1 TR002389
6 · The paper itself

Abstract

objectiveTo examine how depression screening rates changed after implementation of electronic health record (EHR) clinical decision support tools and medical assistant (MA)-led depression screening at an outpatient pediatric practice.

methodsWe assessed changes in depression screening rates at an urban academic pediatric clinic between September 2016 and December 2020 using interrupted time series analysis. During this time, we implemented 1) EHR clinical decision support tools for depression screening and management (November 2017) and 2) training of MAs to screen for depression (July 2019).

resultsOver the study period, 3963 patients received care in the pediatric clinic. Their mean age was 14.9 years (standard deviation, 2.6) and about half were female (n = 2011, 51%). The majority were Black/African American (n = 2852, 72%) and had private insurance (n = 2860, 72%). Depression screening rates increased from 3% to >80%. Preintervention, depression screening rates were not increasing (0.9% per month, 95% confidence interval [CI]: -0.3% to 2.1%; P = .15). After implementing EHR clinical decision support tools, there was a 15.6% (95% CI: 2.5%-28.6%, P = .02) increase in the screening rate. Also, MA-led screening was associated with a 24.6% (95% CI: 9.9%-39.2%, P = .002) screening rate increase.

conclusionThis study demonstrates that EHR clinical decision support tools and MA-led screening are likely to increase adolescent depression screening and management in pediatric clinics.

Indexed as

Decision Support Systems, ClinicalDepressionMass ScreeningPrimary Health CareAdolescentChildElectronic Health RecordsFemaleHumansInterrupted Time Series AnalysisMalePediatricsPhysician Assistantsadolescent healthdepressionelectronic health recordpediatric primary carequality improvement

Identifiers

PMID40274223
PMCPMC12317833

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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.