Journal Article
Multicenter Study
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, P.H.S.
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Disparities in the Use of Seizure Medications After Intracerebral Hemorrhage.

BACKGROUND AND PURPOSE: We investigated potential disparities in the use of prophylactic seizure medications in patients with intracerebral hemorrhage.

METHODS: Review of multicenter electronic health record (EHR) data with simultaneous prospective data recording. EHR data were retrieved from HealthLNK, a multicenter EHR repository in Chicago, Illinois, from 2006 to 2012 (multicenter cohort). Additional data were prospectively coded (single-center cohort) from 2007 through 2015.

RESULTS: The multicenter cohort comprised 3422 patients from 4 HealthLNK centers. Use of levetiracetam varied by race/ethnicity ( P =0.0000008), with whites nearly twice as likely as blacks to be administered levetiracetam (odds ratio: 1.71; 95% confidence interval, 1.43-2.05; P <0.0001). In the single-center cohort (n=450), hematoma location, older age, depressed consciousness, larger hematoma volume, no alcohol abuse, and race/ethnicity were associated with levetiracetam administration ( P ≤0.04). Whites were nearly twice as likely as blacks to receive levetiracetam (odds ratio: 1.9; 95% confidence interval, 1.25-2.89; P =0.002); however, the association was confounded by history of hypertension, higher blood pressure on admission, and deep hematoma location. Only hematoma location was independently associated with levetiracetam administration ( P <0.00001), rendering other variables, including race/ethnicity, nonsignificant.

CONCLUSIONS: Although multicenter EHR data showed apparent racial/ethnic disparities in the use of prophylactic seizure medications, a more complete single-center cohort found the apparent disparity to be confounded by the clinical factors of hypertension and hematoma location. Disparities in care after intracerebral hemorrhage are common; however, administrative data may lead to the discovery of disparities that are confounded by detailed clinical data not readily available in EHRs.

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