BACKGROUND: Enzyme-inducing antiepileptic drugs (EI-AEDs) are not recommended for older adults with epilepsy. Quality Indicator for Epilepsy Treatment 9 (QUIET-9) states that new patients should not receive EI-AEDs as first line of treatment. In light of reported racial/ethnic disparities in epilepsy care, we investigated EI-AED use and QUIET-9 concordance across major racial/ethnic groups of Medicare beneficiaries. RESEARCH DESIGN: Retrospective analyses of 2008-2010 Medicare claims for a 5% random sample of beneficiaries 67 years old and above in 2009 augmented for minority representation. Logistic regressions examined QUIET-9 concordance differences by race/ethnicity adjusting for individual, socioeconomic, and geography factors. SUBJECTS: Epilepsy prevalent (≥1 International Classification of Disease-version 9 code 345.x or ≥2 International Classification of Disease-version 9 code 780.3x, ≥1 AED), and new (same as prevalent+no seizure/epilepsy events nor AEDs in 365 d before index event) cases. MEASURES: Use of EI-AEDs and QUIET-9 concordance (no EI-AEDs for the first 2 AEDs). RESULTS: Cases were 21% white, 58% African American, 12% Hispanic, 6% Asian, 2% American Indian/Alaskan Native. About 65% of prevalent, 43.6% of new cases, used EI-AEDs. QUIET-9 concordance was found for 71% Asian, 65% white, 61% Hispanic, 57% African American, 55% American Indian/Alaskan new cases: racial/ethnic differences were not significant in adjusted model. Beneficiaries without neurology care, in deductible drug benefit phase, or in high poverty areas were less likely to have QUIET-9 concordant care. CONCLUSIONS: EI-AED use is high, and concordance with recommendations low, among all racial/ethnic groups of older adults with epilepsy. Potential socioeconomic disparities and drug coverage plans may affect treatment quality and opportunities to live well with epilepsy.
BACKGROUND: Enzyme-inducing antiepileptic drugs (EI-AEDs) are not recommended for older adults with epilepsy. Quality Indicator for Epilepsy Treatment 9 (QUIET-9) states that new patients should not receive EI-AEDs as first line of treatment. In light of reported racial/ethnic disparities in epilepsy care, we investigated EI-AED use and QUIET-9 concordance across major racial/ethnic groups of Medicare beneficiaries. RESEARCH DESIGN: Retrospective analyses of 2008-2010 Medicare claims for a 5% random sample of beneficiaries 67 years old and above in 2009 augmented for minority representation. Logistic regressions examined QUIET-9 concordance differences by race/ethnicity adjusting for individual, socioeconomic, and geography factors. SUBJECTS:Epilepsy prevalent (≥1 International Classification of Disease-version 9 code 345.x or ≥2 International Classification of Disease-version 9 code 780.3x, ≥1 AED), and new (same as prevalent+no seizure/epilepsy events nor AEDs in 365 d before index event) cases. MEASURES: Use of EI-AEDs and QUIET-9 concordance (no EI-AEDs for the first 2 AEDs). RESULTS: Cases were 21% white, 58% African American, 12% Hispanic, 6% Asian, 2% American Indian/Alaskan Native. About 65% of prevalent, 43.6% of new cases, used EI-AEDs. QUIET-9 concordance was found for 71% Asian, 65% white, 61% Hispanic, 57% African American, 55% American Indian/Alaskan new cases: racial/ethnic differences were not significant in adjusted model. Beneficiaries without neurology care, in deductible drug benefit phase, or in high poverty areas were less likely to have QUIET-9 concordant care. CONCLUSIONS: EI-AED use is high, and concordance with recommendations low, among all racial/ethnic groups of older adults with epilepsy. Potential socioeconomic disparities and drug coverage plans may affect treatment quality and opportunities to live well with epilepsy.
Authors: Nicholas K Schiltz; Siran M Koroukian; Mendel E Singer; Thomas E Love; Kitti Kaiboriboon Journal: Epilepsy Res Date: 2013-08-16 Impact factor: 3.045
Authors: M J V Pugh; D R Berlowitz; G Montouris; B Bokhour; J A Cramer; V Bohm; M Bollinger; S Helmers; A Ettinger; K J Meador; N Fountain; J Boggs; W O Tatum; J Knoefel; C Harden; R H Mattson; L Kazis Journal: Neurology Date: 2007-10-10 Impact factor: 9.910
Authors: E Wayne Holden; Elizabeth Grossman; Hoang Thanh Nguyen; Margaret J Gunter; Becky Grebosky; Ann Von Worley; Leila Nelson; Scott Robinson; David J Thurman Journal: Dis Manag Date: 2005-02
Authors: Martin J Brodie; Scott Mintzer; Alison M Pack; Barry E Gidal; Charles J Vecht; Dieter Schmidt Journal: Epilepsia Date: 2012-09-27 Impact factor: 5.864
Authors: R Edward Faught; Jennifer R Weiner; Annie Guérin; Marianne C Cunnington; Mei Sheng Duh Journal: Epilepsia Date: 2008-10-03 Impact factor: 5.864
Authors: Michael Chernew; Teresa B Gibson; Kristina Yu-Isenberg; Michael C Sokol; Allison B Rosen; A Mark Fendrick Journal: J Gen Intern Med Date: 2008-04-29 Impact factor: 5.128
Authors: Emily K Acton; Michael A Gelfand; Sean Hennessy; Sharon X Xie; John R Pollard; Scott E Kasner; Allison W Willis Journal: Epilepsy Behav Date: 2020-11-24 Impact factor: 2.937
Authors: Maria Pisu; Joshua Richman; Jerzy P Szaflarski; Ellen Funkhouser; Chen Dai; Lucia Juarez; Edward Faught; Roy C Martin Journal: Epilepsia Date: 2019-06-06 Impact factor: 5.864
Authors: Edward Faught; Jerzy P Szaflarski; Joshua Richman; Ellen Funkhouser; Roy C Martin; Kendra Piper; Chen Dai; Lucia Juarez; Maria Pisu Journal: Epilepsia Date: 2018-02-07 Impact factor: 5.864
Authors: Jacob Bernstein; Samir Kashyap; Michael W Kortz; Bishoy Zakhary; Ariel Takayanagi; Harjyot Toor; Paras Savla; Margaret R Wacker; Ajay Ananda; Dan Miulli Journal: Surg Neurol Int Date: 2021-11-02