Suicidality Screening: Ensuring Providers Do Not Miss Adolescents at High Risk through Clinical Decision Support.

IF 2.2 2区 医学 Q4 MEDICAL INFORMATICS
Applied Clinical Informatics Pub Date : 2025-08-01 Epub Date: 2025-08-22 DOI:10.1055/a-2591-4071
Shravani Vundavalli, Aarti Chandawarkar, Kristen Beck, Emily Decker, Stefanie Bester, Juan D Chaparro, Alysha J Taxter
{"title":"Suicidality Screening: Ensuring Providers Do Not Miss Adolescents at High Risk through Clinical Decision Support.","authors":"Shravani Vundavalli, Aarti Chandawarkar, Kristen Beck, Emily Decker, Stefanie Bester, Juan D Chaparro, Alysha J Taxter","doi":"10.1055/a-2591-4071","DOIUrl":null,"url":null,"abstract":"<p><p>Major depression in adolescents is recognized as a serious psychiatric illness and a risk factor for suicide. It is important for providers to screen for depression and suicidality and have clinical decision support (CDS) for evaluation, risk assessment, and initial management. Our efforts focused on leveraging the electronic health record (EHR) to ensure that high-risk adolescents received appropriate interventions before leaving the office.This study aims to improve notification of positive adolescent depression and suicide risk screening results. Subaims include (1) designing and optimizing CDS alerts for severe depression and/or acute lethality; and (2) increasing visibility for different EHR users to avoid the near misses.We implemented several iterations of an interruptive alert after a positive mental health screening for patients aged 12 to 20 years seen in primary care and subspecialty rheumatology clinics between 2016 and 2023. Screening started with the Patient Health Questionnaire (PHQ) and Ask Suicide-Screening Questions (ASQ) on paper, and later via tablets.There were 76,919 visits during the study period, of which 50,502 (66%) completed PHQ screening. Rates of PHQ screening increased throughout the study period. Of the ASQ screenings completed, alerts were fired for 2,355 nonacute positive and 411 acute positive. In most cases, all alerts fired were more than once. Providers and clinicians receiving alerts (physicians, nurse practitioners, social workers, and psychologists) acknowledged 63 to 96% of alerts and cancelled 6 to 70% of alerts. We revised the initial alert identifying lethality to include separate alerts for major depressive symptoms and suicide risk. Iterations also included an icon on the clinic schedule and incorporated guidance on appropriate actions.By creating multiple types of alerting within different workflows, we improved notification and increased next-step visibility, leveraging decision support for patients screening positive for depression and suicidality.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":"16 4","pages":"816-824"},"PeriodicalIF":2.2000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12373463/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Clinical Informatics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/a-2591-4071","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/22 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"MEDICAL INFORMATICS","Score":null,"Total":0}
引用次数: 0

Abstract

Major depression in adolescents is recognized as a serious psychiatric illness and a risk factor for suicide. It is important for providers to screen for depression and suicidality and have clinical decision support (CDS) for evaluation, risk assessment, and initial management. Our efforts focused on leveraging the electronic health record (EHR) to ensure that high-risk adolescents received appropriate interventions before leaving the office.This study aims to improve notification of positive adolescent depression and suicide risk screening results. Subaims include (1) designing and optimizing CDS alerts for severe depression and/or acute lethality; and (2) increasing visibility for different EHR users to avoid the near misses.We implemented several iterations of an interruptive alert after a positive mental health screening for patients aged 12 to 20 years seen in primary care and subspecialty rheumatology clinics between 2016 and 2023. Screening started with the Patient Health Questionnaire (PHQ) and Ask Suicide-Screening Questions (ASQ) on paper, and later via tablets.There were 76,919 visits during the study period, of which 50,502 (66%) completed PHQ screening. Rates of PHQ screening increased throughout the study period. Of the ASQ screenings completed, alerts were fired for 2,355 nonacute positive and 411 acute positive. In most cases, all alerts fired were more than once. Providers and clinicians receiving alerts (physicians, nurse practitioners, social workers, and psychologists) acknowledged 63 to 96% of alerts and cancelled 6 to 70% of alerts. We revised the initial alert identifying lethality to include separate alerts for major depressive symptoms and suicide risk. Iterations also included an icon on the clinic schedule and incorporated guidance on appropriate actions.By creating multiple types of alerting within different workflows, we improved notification and increased next-step visibility, leveraging decision support for patients screening positive for depression and suicidality.

自杀筛查:通过临床决策支持确保提供者不会错过高危青少年。
青少年重度抑郁症被认为是一种严重的精神疾病,也是自杀的危险因素。重要的是,提供者筛选抑郁症和自杀倾向,并有临床决策支持(CDS)的评估,风险评估和初步管理。我们的工作重点是利用电子健康记录(EHR),以确保高危青少年在离开办公室之前得到适当的干预。本研究旨在改善青少年抑郁阳性与自杀风险筛查结果的通报。子目标包括(1)设计和优化严重抑郁和/或急性死亡的CDS警报;(2)提高不同电子病历用户的可见性,以避免“险些失误”。我们对2016年至2023年间在初级保健和亚专科风湿病诊所就诊的12至20岁患者进行积极的心理健康筛查后,实施了多次中断警报。筛查从病人健康问卷(PHQ)和纸上自杀筛查问题(ASQ)开始,后来通过药片进行。在研究期间有76,919次就诊,其中50,502(66%)完成了PHQ筛查。在整个研究期间,PHQ筛查率有所增加。在完成的ASQ筛查中,有2,355例非急性阳性和411例急性阳性发出警报。在大多数情况下,所有发出的警报都不止一次。接收警报的提供者和临床医生(医生、执业护士、社会工作者和心理学家)承认了63%至96%的警报,并取消了6%至70%的警报。我们修改了确定致死率的初始警报,包括对重度抑郁症状和自杀风险的单独警报。迭代还包括在诊所时间表上的图标,并纳入了适当行动的指导。通过在不同的工作流程中创建多种类型的警报,我们改进了通知并增加了下一步的可见性,为抑郁症和自杀倾向筛查呈阳性的患者提供决策支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Applied Clinical Informatics
Applied Clinical Informatics MEDICAL INFORMATICS-
CiteScore
4.60
自引率
24.10%
发文量
132
期刊介绍: ACI is the third Schattauer journal dealing with biomedical and health informatics. It perfectly complements our other journals Öffnet internen Link im aktuellen FensterMethods of Information in Medicine and the Öffnet internen Link im aktuellen FensterYearbook of Medical Informatics. The Yearbook of Medical Informatics being the “Milestone” or state-of-the-art journal and Methods of Information in Medicine being the “Science and Research” journal of IMIA, ACI intends to be the “Practical” journal of IMIA.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信