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Corrigendum to 'Using ICD-10 codes to identify elective epilepsy monitoring unit admissions from administrative billing data: A validation study' [Epilepsy Behav 111 (2020) 107194]

Authors :
Stephen Wong
Ram Mani
Shelly Rishty
Lawrence C. Kleinman
Charlotte Thomas-Hawkins
Lisa M. Bateman
Joel C. Cantor
Brad K. Kamitaki
Source :
Epilepsy & Behavior
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Video-electroencephalogram (EEG) monitoring in the epilepsy monitoring unit (EMU) is essential for managing epilepsy and seizure mimics. Evaluation of care in the EMU would benefit from a validated code set capable of identifying EMU admissions from administrative databases comprised of large, diverse cohorts. We assessed the ability of code-based queries to parse EMU admissions from administrative billing records in a large academic medical center over a four-year period, 2016-2019. We applied prespecified queries for admissions coded as follows: 1) elective, 2) receiving video-EEG monitoring, and 3) including diagnoses typically required by major US healthcare payers for EMU admission. Sensitivity (Sn), specificity (Sp), and predictive value positive/negative (PVP, PVN) were determined. Two approaches were highly effective. Incorporating epilepsy, seizure, or seizure mimic codes as the admitting diagnosis (assigned at admission; Sn 96.3%, Sp 100.0%, PVP 98.3%, and PVN 100.0%) or the principal diagnosis (assigned after discharge; Sn 94.9%, Sp 100.0%, PVP 98.8%, and PVN 100.0%) identified elective adult EMU admissions with comparable reliability (p = 0.096). The addition of surgical procedure codes further separated EMU admissions for intracranial EEG monitoring. When applied to larger, more comprehensive datasets, these code-based queries should enhance our understanding of EMU utilization and access to care on a scalable basis.

Details

ISSN :
15255050
Volume :
118
Database :
OpenAIRE
Journal :
Epilepsy & Behavior
Accession number :
edsair.doi.dedup.....f25716f54eb270a193cffae6e0f4acae
Full Text :
https://doi.org/10.1016/j.yebeh.2021.107947