Evidence map›Paper›PMID 39470636›Full record

ArticleJAMA network open2024

Electronic Health Record Phenotyping of Pediatric Suicide-Related Emergency Department Visits.

Juliet Beni Edgcomb, Loes Olde Loohuis, Chi-Hong Tseng, Alexandra M Klomhaus, Kristen R Choi, Chrislie G Ponce, Bonnie T Zima

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

7 authors.

Juliet Beni EdgcombMental Health Informatics and Data Science Hub, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles.
Loes Olde LoohuisCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles.
Chi-Hong TsengStatistics Core, Department of Medicine, David Geffen School of Medicine at the University of California, Los Angeles.
Alexandra M KlomhausStatistics Core, Department of Medicine, David Geffen School of Medicine at the University of California, Los Angeles.
Kristen R ChoiUniversity of California, Los Angeles School of Nursing.
Chrislie G PonceMental Health Informatics and Data Science Hub, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles.
Bonnie T ZimaMental Health Informatics and Data Science Hub, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles.

Funding

Electronic Health Record Phenotyping for Case Detection and Prediction of Emergency Department Visits for Child and Adolescent Suicide AttemptsK23MH130745 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EDGCOMB, JULIET BENI · 2022 to 2025
$844k
NIMH NIH HHS K23 MH130745
6 · The paper itself

Abstract

Importance: Suicide is a leading cause of death among young people. Accurate detection of self-injurious thoughts and behaviors (SITB) underpins equity in youth suicide prevention. Objectives: To compare methods of detecting SITB using structured electronic health information and measure algorithmic performance across demographics. Design, Setting, and Participants: This cross-sectional study used medical records among youths aged 6 to 17 years with at least 1 mental health-related emergency department (ED) visit in 2017 to 2019 to an academic health system in Southern California serving 787 000 unique individuals each year. Analyses were conducted between January and September 2023. Exposures: Multiexpert electronic health record review ascertained the presence of SITB using the Columbia Classification Algorithm of Suicide Assessment. Random forest classifiers with nested cross-validation were developed using (1) International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes for nonfatal suicide attempt and self-harm and chief concern and (2) all available structured data, including diagnoses, medications, and laboratory tests. Main Outcome and Measures: Detection performance was assessed overall and stratified by age group, sex, and race and ethnicity. Results: The sample comprised 2702 unique youths with an MH-related ED visit (1384 youths who identified as female [51.2%]; 131 Asian [4.8%], 266 Black [9.8%], 719 Hispanic [26.6%], 1319 White [48.8%], and 233 other race [8.6%]; median [IQR] age, 14 [12-16] years), including 898 children and 1804 adolescents. Approximately half of visits were related to SITB (1286 visits [47.6%]). Sensitivity of SITB detection using only codes and chief concern varied by age group and increased until age 15 years (6-9 years: 59.3% [95% CI, 48.5%-69.5%]; 10-12 years: 69.0% [95% CI, 63.8%-73.9%]; 13-15 years: 88.4% [95% CI, 85.1%-91.2%]; 16-17 years: 83.1% [95% CI, 79.1%-86.6%]), while specificity remained constant. The area under the receiver operating characteristic curve (AUROC) was lower among preadolescents (0.841 [95% CI, 0.815-0.867]) and male (0.869 [95% CI, 0.848-0.890]), Black (0.859 [95% CI, 0.813-0.905]), and Hispanic (0.861 [95% CI, 0.831-0.891]) youths compared with adolescents (0.925 [95% CI, 0.912-0.938]), female youths (0.923 [95% CI, 0.909-0.937]), and youths of other races and ethnicities (eg, White: 0.901 [95% CI, 0.884-0.918]). Augmented classification (ie, using all available structured data) outperformed classification with codes and chief concern alone (AUROC, 0.975 [95% CI, 0.968-0.980] vs 0.894 [95% CI, 0.882-0.905]; P < .001). Conclusions and Relevance: In this study, diagnostic codes and chief concern underestimated SITB prevalence, particularly among minoritized youths. These results suggest that priority on algorithmic fairness in suicide prevention strategies must extend to accurate detection of youths with suicide-related emergencies.

Indexed as

Electronic Health RecordsEmergency Service, HospitalAdolescentCaliforniaChildCross-Sectional StudiesEmergency Room VisitsFemaleHumansMalePhenotypeSelf-Injurious BehaviorSuicideSuicide, Attempted

Identifiers

PMID39470636
PMCPMC11522940

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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.