Implementation of an established algorithm and modifications for the identification of epilepsy patients in the veterans health administration.
Identification of epilepsy patients from administrative data in large managed healthcare organizations is a challenging task. The objectives of this report are to describe the implementation of an established algorithm and different modifications for the estimation of epilepsy prevalence in the Veterans Health Administration (VHA). For the prevalence estimation during a given time period patients prescribed anti-epileptic drugs and having seizure diagnoses on clinical encounters were identified. In contrast to the established algorithm, which required inclusion of diagnoses data from the time period of interest only, variants were tested by considering diagnoses data beyond prevalence period for improving sensitivity. One variant excluded data from diagnostic EEG and LTM clinics to improve specificity. Another modification also required documentation of seizures on the problem list (electronic list of patients' established diagnoses). Of the variants tested, the one excluding information from diagnostic clinics and extending time beyond base period of interest for clinical encounters was determined to be superior. It can be inferred that the number of patients receiving care for epilepsy in the VHA ranges between 74,000 and 87,000. In the wake of the recent implementation of ICD-10 codes in the VHA, minor tweaks are needed for future prevalence estimation due to significant efforts presented. This review is not only beneficial for researchers interested in VHA related data but can also be helpful for managed healthcare organizations involved in epilepsy care aiming at accurate identification of patients from large administrative databases.
Southeast Epilepsy Centers of Excellence, Durham VA Hospital, Durham, NC, United States. Electronic address: Rizwana.Rehman@va.gov.
Rizwana
R
Rehman
Southeast Epilepsy Centers of Excellence, Durham VA Hospital, Durham, NC, United States.
Amanda
A
Everhart
Southeast Epilepsy Centers of Excellence, Durham VA Hospital, Durham, NC, United States; Southeast Epilepsy Centers of Excellence, University of South Florida, Tampa, FL, United States.
Alfred T
AT
Frontera
Southeast Epilepsy Centers of Excellence, Durham VA Hospital, Durham, NC, United States.
Pamela R
PR
Kelly
Southeast Epilepsy Centers of Excellence, Durham VA Hospital, Durham, NC, United States; Southeast Epilepsy Centers of Excellence, University of Miami, Miami, FL, United States.
Maria
M
Lopez
Southeast Epilepsy Centers of Excellence, North Florida/South Georgia Veterans Health System, Gainesville, FL, United States.
Denise
D
Riley
Southeast Epilepsy Centers of Excellence, Durham VA Hospital, Durham, NC, United States.
Sheela
S
Sajan
Southeast Epilepsy Centers of Excellence, Durham VA Hospital, Durham, NC, United States.
David M
DM
Schooff
Southeast Epilepsy Centers of Excellence, Durham VA Hospital, Durham, NC, United States; Duke University Medical Center, Durham, NC, United States.
Tung T
TT
Tran
Southeast Epilepsy Centers of Excellence, Durham VA Hospital, Durham, NC, United States; Duke University Medical Center, Durham, NC, United States.
Aatif M
AM
Husain
D000465:Algorithms; D004827:Epilepsy / Q000175:diagnosis* / Q000453:epidemiology* / Q000503:physiopathology / Q000628:therapy; D006801:Humans; D014481:United States; D014493:United States Department of Veterans Affairs; D014728:Veterans; D058014:Veterans Health
Administrative databases; Epidemiology; Epilepsy; Prevalence; Veterans health administration data