ArticleSuicide & life-threatening behavior2021
Comparing the predictive value of screening to the use of electronic health record data for detecting future suicidal thoughts and behavior in an urban pediatric emergency department: A preliminary analysis.
Article in Suicide & life-threatening behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.
What it found
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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.
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Who cites it
26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.
- Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies.BMC medical informatics and decision making · 2024Pooled it
- Tools to Detect Risk of Death by Suicide: A Systematic Review and Meta-Analysis.The Journal of clinical psychiatry · 2022Pooled it
- Suicide Screening Tools for Pediatric Emergency Department Patients: A Systematic Review.Frontiers in psychiatry · 2022Pooled it
- A Prospective Examination of the Predictive Validity of Three Transdiagnostic Assessments of Risk for Suicidal Behavior: Psychache, the Interpersonal Theory of Suicide, and Reasons for Living.Journal of the American Academy of Child and Adolescent Psychiatry · 2026Article
- Suicide Risk Among Youth Who Choose "No Response" on Emergency Department Suicide Risk Screenings.Suicide & life-threatening behavior · 2026Article
- Conceptualization and development of the Maryland suicide data warehouse to improve mortality prediction.JAMIA open · 2026Article
- Comparing Risk Prediction for Suicide Attempts and Deaths After Emergency Department Visits for Individuals With Mental Health Disorders.The Journal of clinical psychiatry · 2026Article
- Effectiveness of Hybrid AI and Human Suicide Detection Within Digital Peer Support.Journal of clinical medicine · 2026Article
- Comparing patterns of recent mental health service use for predicting suicidal events following emergency department mental health visits in the United States: A national cohort study.Social psychiatry and psychiatric epidemiology · 2026Article
- Suicide Risk in 8- to 12-Year-Old Children: Retrospective Review of Emergency Department Electronic Health Records.JAACAP open · 2026Article
- Using transfer learning to improve prediction of suicide risk in acute care hospitals.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Screening and Risk Algorithms for Detecting Pediatric Suicide Risk in the Emergency Department.JAMA network open · 2025Article
- Exploring the Perspectives of Pediatric Health Care Providers, Youth Patients, and Caregivers on Machine Learning Suicide Risk Classification: Mixed Methods Study.Journal of medical Internet research · 2025Article
- A cohort study of predictors of short-term nonfatal suicidal and self-harm events among individuals with mental health disorders treated in the emergency department.Journal of psychiatric research · 2025Article
- Digital Interventions for Adolescents and Young Adults Experiencing Self-Injurious Thoughts and Behaviors.Current treatment options in psychiatry · 2024Article
- Management of suicidal risk in the emergency department: A clinical pathway using the computerized adaptive screen for suicidal youth.Journal of the American College of Emergency Physicians open · 2024Article
- Suicide Risk Screening for Head and Neck Cancer Patients: An Implementation Study.Applied clinical informatics · 2024Article
- Recency of Suicide Attempt, Ideation, and Reattempt in the Emergency Department: Managing Youth With a Past Attempt.Psychiatric research and clinical practice · 2024Article
- Demographic predictors of emergency service utilization patterns in youth at risk of suicide.Suicide & life-threatening behavior · 2023Article
- Screening and Assessing Suicide Risk in Medical Settings: Feasible Strategies for Early Detection.Focus (American Psychiatric Publishing) · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
aimBrief screening and predictive modeling have garnered attention for utility at identifying individuals at risk of suicide. Although previous research has investigated these methods, little is known about how these methods compare against each other or work in combination in the pediatric population.
methodsPatients were aged 8-18 years old who presented from January 1, 2017, to June 30, 2019, to a Pediatric Emergency Department (PED). All patients were screened with the Ask Suicide Questionnaire (ASQ) as part of a universal screening approach. For all models, we used 5-fold cross-validation. We compared four models: Model 1 only included the ASQ; Model 2 included the ASQ and EHR data gathered at the time of ED visit (EHR data); Model 3 only included EHR data; and Model 4 included EHR data and a single item from the ASQ that asked about a lifetime history of suicide attempt. The main outcome was subsequent PED visit with suicide-related presenting problem within a 3-month follow-up period.
resultsOf the N = 13,420 individuals, n = 141 had a subsequent suicide-related PED visit. Approximately 63% identified as Black. Results showed that a model based only on EHR data (Model 3) had an area under the curve (AUC) of 0.775 compared to the ASQ alone (Model 1), which had an AUC of 0.754. Combining screening and EHR data (Model 4) resulted in a 17.4% (absolute difference = 3.6%) improvement in sensitivity and 13.4% increase in AUC (absolute difference = 6.6%) compared to screening alone (Model 1).
conclusionOur findings show that predictive modeling based on EHR data is helpful either in the absence or as an addition to brief suicide screening. This is the first study to compare brief suicide screening to EHR-based predictive modeling and adds to our understanding of how best to identify youth at risk of suicidal thoughts and behaviors in clinical care settings.
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Registered trials
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.