Journal
EPILEPSY RESEARCH
Volume 102, Issue 3, Pages 173-179Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.eplepsyres.2012.05.009
Keywords
Accuracy; International Classification of Disease; ICD-9; ICD-10; Seizure
Categories
Funding
- Public Health Agency of Canada
- Alberta Innovates Health Solutions (AI-HS)
- Canada Research Chair Tier 2 in Neurological Population Health and Health Services Research
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The objective of this study was to develop and validate coding algorithms for epilepsy using ICD-coded inpatient claims, physician claims, and emergency room (ER) visits. 720/2049 charts from 2003 and 1533/3252 charts from 2006 were randomly selected for review from 13 neurologists' practices as the gold standard for diagnosis. Epilepsy status in each chart was determined by 2 trained physicians. The optimal algorithm to identify epilepsy cases was developed by linking the reviewed charts with three administrative databases (ICD 9 and 10 data from 2000 to 2008) including hospital discharges, ER visits and physician claims in a Canadian health region. Accepting chart review data as the gold standard, we calculated sensitivity, specificity, positive, and negative predictive value for each ICD-9 and ICD-10 administrative data algorithm (case definitions). Of 18 algorithms assessed, the most accurate algorithm to identify epilepsy cases was 2 physician claims or 1 hospitalization in 2 years coded (ICD-9 345 or G40/G41) and the most sensitive algorithm was 1 physician clam or 1 hospitalization or 1 ER visit in 2 years. Accurate and sensitive case definitions are available for research requiring the identification of epilepsy cases in administrative health data. (C) 2012 Elsevier B.V. All rights reserved.
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