1. Use of e-triggers to identify diagnostic errors in the paediatric ED.
- Author
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Lam, Daniel, Dominguez, Fidelity, Leonard, Jan, Wiersma, Alexandria, and Grubenhoff, Joseph A.
- Subjects
APPENDICITIS diagnosis ,DIAGNOSIS of brain diseases ,MENINGITIS diagnosis ,STATISTICS ,MUSCULOSKELETAL system diseases ,HOSPITAL emergency services ,CONFIDENCE intervals ,MEDICAL triage ,PATHOLOGICAL physiology ,CHILDREN'S hospitals ,MULTIPLE regression analysis ,CHILD abuse ,PEDIATRICS ,PATIENTS ,RETROSPECTIVE studies ,ACQUISITION of data ,FISHER exact test ,MANN Whitney U Test ,HOSPITAL admission & discharge ,RISK assessment ,COMPARATIVE studies ,PEARSON correlation (Statistics) ,SEPSIS ,INFECTION ,DESCRIPTIVE statistics ,RESEARCH funding ,MEDICAL records ,EMERGENCY medical services ,CHI-squared test ,DIAGNOSTIC errors ,ELECTRONIC health records ,HOSPITAL information systems ,SOCIODEMOGRAPHIC factors ,DATA analysis software ,ODDS ratio ,LONGITUDINAL method ,DISCHARGE planning ,CHILDREN ,ADOLESCENCE - Abstract
Background Diagnostic errors (DxEs) are an understudied source of patient harm in children rarely captured in current adverse event reporting systems. Applying electronic triggers (e-triggers) to electronic health records shows promise in identifying DxEs but has not been used in the emergency department (ED) setting. Objectives To assess the performance of an e-trigger and subsequent manual screening for identifying probable DxEs among children with unplanned admission following a prior ED visit and to compare performance to existing incident reporting systems. Design/methods Retrospective single-centre cohort study of children ages 0-22 admitted within 14 days of a previous ED visit between 1 January 2018 and 31 December 2019. Subjects were identified by e-trigger, screened to identify cases where index visit and hospital discharge diagnoses were potentially related but pathophysiologically distinct, and then these screened-in cases were reviewed for DxE using the SaferDx Instrument. Cases of DxE identified by e-trigger were cross-referenced against existing institutional incident reporting systems. Results An e-trigger identified 1915 unplanned admissions (7.7% of 24 849 total admissions) with a preceding index visit. 453 (23.7%) were screened in and underwent review using SaferDx. 92 cases were classified as likely DxEs, representing 0.4% of all hospital admissions, 4.8% among those selected by e-trigger and 20.3% among those screened in for review. Half of cases were reviewed by two reviewers using SaferDx with substantial inter-rater reliability (Cohen's K=0.65 (95% CI 0.54 to 0.75)). Six (6.5%) cases had been reported elsewhere: two to the hospital's incident reporting system and five to the ED case review team (one reported to both). Conclusion An e-trigger coupled with manual screening enriched a cohort of patients at risk for DxEs. Fewer than 10% of DxEs were identified through existing surveillance systems, suggesting that they miss a large proportion of DxEs. Further study is required to identify specific clinical presentations at risk of DxEs. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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