Michelson KA, Dart AH, Finkelstein JA, Bachur RG. Validation of an Automated System for Identifying Complications of Serious Pediatric Emergencies.
Hosp Pediatr 2021;
11:864-878. [PMID:
34290041 PMCID:
PMC8651277 DOI:
10.1542/hpeds.2020-005792]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
BACKGROUND
Illness complications are condition-specific adverse outcomes. Detecting complications of pediatric illness in administrative data would facilitate widespread quality measurement, however the accuracy of such detection is unclear.
METHODS
We conducted a cross-sectional study of patients visiting a large pediatric emergency department. We analyzed those <22 years old from 2012 to 2019 with 1 of 14 serious conditions: appendicitis, bacterial meningitis, diabetic ketoacidosis (DKA), empyema, encephalitis, intussusception, mastoiditis, myocarditis, orbital cellulitis, ovarian torsion, sepsis, septic arthritis, stroke, and testicular torsion. We applied a method using disposition, diagnosis codes, and procedure codes to identify complications. The automated determination was compared with the criterion standard of manual health record review by using positive predictive values (PPVs) and negative predictive values (NPVs). Interrater reliability of manual reviews used a κ.
RESULTS
We analyzed 1534 encounters. PPVs and NPVs for complications were >80% for 8 of 14 conditions: appendicitis, bacterial meningitis, intussusception, mastoiditis, myocarditis, orbital cellulitis, sepsis, and testicular torsion. Lower PPVs for complications were observed for DKA (57%), empyema (53%), encephalitis (78%), ovarian torsion (21%), and septic arthritis (64%). A lower NPV was observed in stroke (68%). The κ between reviewers was 0.88.
CONCLUSIONS
An automated method to measure complications by using administrative data can detect complications in appendicitis, bacterial meningitis, intussusception, mastoiditis, myocarditis, orbital cellulitis, sepsis, and testicular torsion. For DKA, empyema, encephalitis, ovarian torsion, septic arthritis, and stroke, the tool may be used to screen for complicated cases that may subsequently undergo manual review.
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