Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Sep 18;28(10):2202-2211.
doi: 10.1093/jamia/ocab121.

Validation of an electronic trigger to measure missed diagnosis of stroke in emergency departments

Affiliations

Validation of an electronic trigger to measure missed diagnosis of stroke in emergency departments

Viralkumar Vaghani et al. J Am Med Inform Assoc. .

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.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Trigger Validation Process Flow.

Similar articles

Cited by

References

    1. Singh H, Meyer AND, Thomas EJ.. The frequency of diagnostic errors in outpatient care: estimations from three large observational studies involving US adult populations. BMJ Qual Saf 2014; 23 (9): 727–31. - PMC - PubMed
    1. 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
    1. 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
    1. 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
    1. 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