Purpose: To determine those variables associated with utilization of healthcare resources in epilepsy patients.
Methods: We interviewed 256 epilepsy patients. Target variables included the number of clinic visits, ER visits and in-patient admissions over the past year and AEDs currently being used. Predictor variables were age, race/ethnicity, marital status, education, income, insurance, seizure frequency and QOLIE-10 results. We used univariate analysis to determine those factors associated with the target variables and multivariate analysis to ascertain those independently significant.
Results: On univariate analysis, higher seizure frequency and poorer QOLIE-10 scores were associated with the number of clinic visits, ER visits and in-patient admissions. Increased seizure frequency and male gender were associated with higher use of AEDs. Using ordinal logistic regression, QOLIE-10 scores was the only variable associated with the number of clinic visits. Both seizure frequency and QOLIE-10 scores were independently associated with the number of in-patient admissions while seizure frequency and male gender remained independently associated with AED use. Using binary logistic regression, QOLIE-10 scores and seizure frequency were independently associated with the number of ER visits.
Conclusion: Seizure frequency and quality of life are major factors associated with utilization of healthcare resources in epilepsy patients.