Validation of an electronic trigger to measure missed diagnosis of stroke in emergency departments
- PMID: 34279630
- PMCID: PMC8449630
- DOI: 10.1093/jamia/ocab121
Validation of an electronic trigger to measure missed diagnosis of stroke in emergency departments
Abstract
Objective: Diagnostic errors are major contributors to preventable patient harm. We validated the use of an electronic health record (EHR)-based trigger (e-trigger) to measure missed opportunities in stroke diagnosis in emergency departments (EDs).
Methods: Using two frameworks, the Safer Dx Trigger Tools Framework and the Symptom-disease Pair Analysis of Diagnostic Error Framework, we applied a symptom-disease pair-based e-trigger to identify patients hospitalized for stroke who, in the preceding 30 days, were discharged from the ED with benign headache or dizziness diagnoses. The algorithm was applied to Veteran Affairs National Corporate Data Warehouse on patients seen between 1/1/2016 and 12/31/2017. Trained reviewers evaluated medical records for presence/absence of missed opportunities in stroke diagnosis and stroke-related red-flags, risk factors, neurological examination, and clinical interventions. Reviewers also estimated quality of clinical documentation at the index ED visit.
Results: We applied the e-trigger to 7,752,326 unique patients and identified 46,931 stroke-related admissions, of which 398 records were flagged as trigger-positive and reviewed. Of these, 124 had missed opportunities (positive predictive value for "missed" = 31.2%), 93 (23.4%) had no missed opportunity (non-missed), 162 (40.7%) were miscoded, and 19 (4.7%) were inconclusive. Reviewer agreement was high (87.3%, Cohen's kappa = 0.81). Compared to the non-missed group, the missed group had more stroke risk factors (mean 3.2 vs 2.6), red flags (mean 0.5 vs 0.2), and a higher rate of inadequate documentation (66.9% vs 28.0%).
Conclusion: In a large national EHR repository, a symptom-disease pair-based e-trigger identified missed diagnoses of stroke with a modest positive predictive value, underscoring the need for chart review validation procedures to identify diagnostic errors in large data sets.
Keywords: diagnostic errors; health care quality improvement; health services research; patient safety, stroke.
Published by Oxford University Press on behalf of the American Medical Informatics Association 2021. This work is written by US Government employees and is in the public domain in the US.
Similar articles
-
An electronic trigger to detect telemedicine-related diagnostic errors.J Telemed Telecare. 2024 Apr 1:1357633X241236570. doi: 10.1177/1357633X241236570. Online ahead of print. J Telemed Telecare. 2024. PMID: 38557263
-
An electronic trigger based on care escalation to identify preventable adverse events in hospitalised patients.BMJ Qual Saf. 2018 Mar;27(3):241-246. doi: 10.1136/bmjqs-2017-006975. Epub 2017 Sep 21. BMJ Qual Saf. 2018. PMID: 28935832 Free PMC article.
-
Identifying trigger concepts to screen emergency department visits for diagnostic errors.Diagnosis (Berl). 2020 Nov 13;8(3):340-346. doi: 10.1515/dx-2020-0122. Print 2021 Aug 26. Diagnosis (Berl). 2020. PMID: 33180032 Review.
-
Electronic health record-based surveillance of diagnostic errors in primary care.BMJ Qual Saf. 2012 Feb;21(2):93-100. doi: 10.1136/bmjqs-2011-000304. Epub 2011 Oct 13. BMJ Qual Saf. 2012. PMID: 21997348 Free PMC article.
-
A structured approach to EHR surveillance of diagnostic error in acute care: an exploratory analysis of two institutionally-defined case cohorts.Diagnosis (Berl). 2022 Aug 22;9(4):446-457. doi: 10.1515/dx-2022-0032. eCollection 2022 Nov 1. Diagnosis (Berl). 2022. PMID: 35993878 Free PMC article. Review.
Cited by
-
Machine Learning to Enhance Electronic Detection of Diagnostic Errors.JAMA Netw Open. 2024 Sep 3;7(9):e2431982. doi: 10.1001/jamanetworkopen.2024.31982. JAMA Netw Open. 2024. PMID: 39250157 Free PMC article.
-
Identifying stigmatizing language in clinical documentation: A scoping review of emerging literature.PLoS One. 2024 Jun 28;19(6):e0303653. doi: 10.1371/journal.pone.0303653. eCollection 2024. PLoS One. 2024. PMID: 38941299 Free PMC article. Review.
-
Developing, pilot testing, and refining requirements for 3 EHR-integrated interventions to improve diagnostic safety in acute care: a user-centered approach.JAMIA Open. 2023 May 10;6(2):ooad031. doi: 10.1093/jamiaopen/ooad031. eCollection 2023 Jul. JAMIA Open. 2023. PMID: 37181729 Free PMC article.
-
Inviting patients to identify diagnostic concerns through structured evaluation of their online visit notes.J Am Med Inform Assoc. 2022 May 11;29(6):1091-1100. doi: 10.1093/jamia/ocac036. J Am Med Inform Assoc. 2022. PMID: 35348688 Free PMC article.
References
-
- Ball JR, Balogh E.. Improving diagnosis in health care: highlights of a report from the national academies of sciences, engineering, and medicine. Ann Intern Med 2016; 164 (1): 59–61. - PubMed
-
- Berg LM, Kallberg A-S, Goransson KE, Ostergren J, Florin J, Ehrenberg A.. Interruptions in emergency department work: an observational and interview study. BMJ Qual Saf 2013; 22 (8): 656–63. - PubMed
-
- Hamden K, Jeanmonod D, Gualtieri D, Jeanmonod R.. Comparison of resident and mid-level provider productivity in a high-acuity emergency department setting. Emerg Med J 2014; 31 (3): 216–9. - PubMed
-
- Schnapp BH, Sun JE, Kim JL, Strayer RJ, Shah KH.. Cognitive error in an academic emergency department. Diagnosis (Berlin, Germany) 2018; 5 (3): 135–42. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
