Health care resource utilization in patients with active epilepsy

Comparison of utilization and cost of healthcare services and pharmacotherapy following implantation of vagus nerve stimulation vs. responsive neurostimulation or deep brain stimulation for the treatment of drug-resistant epilepsy: analyses of a large United States healthcare claims database

AIM

Vagus nerve stimulation (VNS), responsive neurostimulation (RNS), and deep brain stimulation (DBS) all are options for drug-resistant epilepsy (DRE). However, little is known about how the choice of neurostimulation impacts subsequent healthcare costs.

MATERIALS AND METHODS

We used a large US healthcare claims database to identify all patients with epilepsy who underwent neurostimulation between 2012 and 2019. Eligible patients were identified and stratified based on procedure received (VNS vs. RNS/DBS). VNS patients were matched by propensity scoring to RNS/DBS patients. Use and cost of healthcare resources and pharmacotherapy were ascertained over the 24-month period following neurostimulation, incorporating all-cause and epilepsy-related measures. Disease-related care was defined based on diagnoses of claims for medical care and relevant pharmacotherapies.

RESULTS

Seven hundred and ninety-two patients met all selection criteria. VNS patients were younger, were prescribed a higher pre-index mean number of anti-seizure medications (ASMs), and had higher pre-index levels of use and cost of epilepsy-related healthcare services. We propensity matched 148 VNS patients to an equal number of RNS/DBS patients. One year following index date (inclusive), mean total all-cause healthcare costs were 50% lower among VNS patients than RNS/DBS patients, and mean epilepsy-related costs were 55% lower; corresponding decreases at the two-year mark were 41% and 48%, respectively.

LIMITATIONS

Some clinical variables, such as seizure frequency and severity, quality of life, and functional status were unavailable in the database, precluding our ability to comprehensively assess differences between devices. Administrative claims data are subject to billing code errors, inaccuracies, and missing data, resulting in possible misclassification and/or unmeasured confounding.

CONCLUSIONS

After matching, VNS was associated with significantly lower all-cause and epilepsy-related costs for the two-year period following implantation. All-cause and epilepsy-related costs remained statistically significantly lower for VNS even after costs of implantation were excluded.

Epidemiology of status epilepticus in the United States: A systematic review

OBJECTIVES

Convulsive status epilepticus (CSE) is a life-threatening neurologic emergency, which is defined by the International League Against Epilepsy (ILAE) as bilateral tonic-clonic seizure activity lasting longer than 5 min, while absence status epilepticus (SE) and focal SE are specified as exceeding 10 min. Epidemiological evidence on SE is currently lacking, and the incidence is not well-known, especially in light of changes in the ILAE criteria for SE. The objectives of this systematic literature review were to describe the epidemiology of SE in the US population and the associated burden of illness.

METHODS

A systematic review, including literature and pragmatic searches, was conducted. Literature searches were performed using MEDLINE, Embase, BIOSIS, and Web of Science electronic databases from inception to February 2019. Pragmatic searches of the gray literature were carried out using Google, Google Scholar, conference proceedings, and ClinicalTrials.gov to identify additional sources. Only US-based studies or multinational studies reporting US data of interest were included.

RESULTS

In total, 69 sources were identified. The incidence of all SE in patients of all ages in the USA ranged from 18.3 to 41 per 100,000 people per year. Incidence of all-age CSE rose from 3.5 (1979) to 12.5 (2010) per 100,000 people per year. Status epilepticus incidence followed a bimodal (U-shaped) distribution, with the highest estimates in the first years of life (0-4 years) and after 60 years. Mortality associated with SE varied from 21% over 30 days to 31.2% over 10 years. For CSE, two studies reported similar in-hospital mortalities (9.2% and 10.7%). Median healthcare costs related to SE admission were approximately US$14,500 per adult (17-45 years) and US$8000 per child (0-16 years).

CONCLUSIONS

There is a lack of recent data on the epidemiology and healthcare burden associated with SE. Reports of SE incidence in the USA are highly variable and predate the 2015 ILAE definition of SE. However, the available data suggest a high burden of illness.

The Humanistic and Economic Burden of Pediatric Focal Seizures in the United States

OBJECTIVE

To better understand the humanistic and economic burden of focal seizures in children 2-12 years old.

METHODS

We conducted a targeted literature review by searching MEDLINE for English-language publications reporting on children 2-12 years old with focal seizures published in the United States since 2008.

RESULTS

Thirty-five publications were included. Incidence of focal seizures was 23.2 to 47.1 per 100,000 children per year; prevalence was 2.0 per 1,000 children, and ranged from 1.6 - 2.6 per 1,000 in patients of any age. Life expectancy was 47.3-61.8 years among children 3-12 years old. Patients took several antiepileptic drugs and experienced frequent seizures, sleep disorders, mood disorders, migraine, and seizure-related injuries (eg, bone fractures, sprains, open wounds). Children with focal seizures scored below average on cognitive assessments and up to 42%, 16%, and 19% had depression, anxiety, and attention-deficit disorder, respectively. Patients of any age had about 10 outpatient visits (2 epilepsy-related), 2 inpatient visits (less than 1 epilepsy-related), and 24 procedures (1 epilepsy-related) per year. Medication adherence was low: only half of pediatric patients maintained ≥90% adherence over 6 months. Annual total health care costs among patients of any age ranged from $18,369 - 38,549; first-year total health care costs for children were $19,883.

CONCLUSIONS

Incidence and prevalence of focal seizures is high and the humanistic and economic burdens are significant. Future studies focused exclusively on children with focal seizures are needed to more precisely describe the burden. We also suggest further research and implementation of methods to improve medication adherence as an approach to lessen burden on these young patients.

Hospital service utilization trajectories of individuals living with epilepsy in New South Wales, Australia, 2012-2016: A population-based study

OBJECTIVES

This study aimed to examine five-year trajectories of hospital service utilization among individuals living with epilepsy in New South Wales (NSW), Australia, and to identify factors predictive of trajectory group membership.

METHODS

This study used group-based trajectory modeling of hospital admissions over a five-year period for individuals living with epilepsy who had an epilepsy-related hospitalization during 1 January 2012 and 31 December 2012 in NSW, Australia (n = 5762).

RESULTS

The analysis revealed the following five distinct hospital service utilization trajectory groups: "one-off users" (Group 1; 22.9%), "low-chronic users" (Group 2; 47.1%), "moderate-declining users" (Group 3; 10.3%), "moderate-chronic users" (Group 4; 18.3%), and "high-chronic users" (Group 5; 1.5%). There were key features that defined trajectory group membership, in particular the relative proportions of group members with chronic health conditions, other comorbid conditions, refractory epilepsy, and status epilepticus. For instance, "high-chronic users" (Group 5) had higher proportions of individuals with chronic health conditions (34.8%) and refractory epilepsy (19.1%); "moderate-declining users" (Group 3) had higher proportions of individuals with chronic health conditions (35.1%) and status epilepticus (9.8%); and "low-chronic users" (Group 2) had the lowest proportion of individuals with chronic health conditions.

CONCLUSION

It is important to gain a better understanding of hospital service utilization among individuals living with epilepsy. This research has identified trajectory groups of hospital service utilization profiles of individuals living with epilepsy. Identification of predictors of trajectory group membership allows targeting of strategies to reduce hospital admissions, inform healthcare service delivery, and improve the health and wellbeing of individuals living with epilepsy.

Epilepsy Among Elderly Medicare Beneficiaries: A Validated Approach to Identify Prevalent and Incident Epilepsy

BACKGROUND

Uncertain validity of epilepsy diagnoses within health insurance claims and other large datasets have hindered efforts to study and monitor care at the population level.

OBJECTIVES

To develop and validate prediction models using longitudinal Medicare administrative data to identify patients with actual epilepsy among those with the diagnosis.

RESEARCH DESIGN, SUBJECTS, MEASURES

We used linked electronic health records and Medicare administrative data including claims to predict epilepsy status. A neurologist reviewed electronic health record data to assess epilepsy status in a stratified random sample of Medicare beneficiaries aged 65+ years between January 2012 and December 2014. We then reconstructed the full sample using inverse probability sampling weights. We developed prediction models using longitudinal Medicare data, then in a separate sample evaluated the predictive performance of each model, for example, area under the receiver operating characteristic curve (AUROC), sensitivity, and specificity.

RESULTS

Of 20,945 patients in the reconstructed sample, 2.1% had confirmed epilepsy. The best-performing prediction model to identify prevalent epilepsy required epilepsy diagnoses with multiple claims at least 60 days apart, and epilepsy-specific drug claims: AUROC=0.93 [95% confidence interval (CI), 0.90-0.96], and with an 80% diagnostic threshold, sensitivity=87.8% (95% CI, 80.4%-93.2%), specificity=98.4% (95% CI, 98.2%-98.5%). A similar model also performed well in predicting incident epilepsy (k=0.79; 95% CI, 0.66-0.92).

CONCLUSIONS

Prediction models using longitudinal Medicare data perform well in predicting incident and prevalent epilepsy status accurately.

High health care costs in minority groups of older US Medicare beneficiaries with epilepsy

OBJECTIVE

To examine health care costs in diverse older Medicare beneficiaries with epilepsy.

METHODS

Using 2008-2010 claims data, we conducted a longitudinal cohort study of a random sample of Medicare beneficiaries augmented for minority representation. Epilepsy cases (n = 36 912) had ≥1 International Classification of Diseases, Ninth Edition (ICD-9) 345.x or ≥2 ICD-9 780.3x claims, and ≥1 antiepileptic drug (AED) in 2009; new cases (n = 3706) had no seizure/epilepsy claims nor AEDs in the previous 365 days. Costs were measured by reimbursements for all care received. High cost was defined as follow-up 1-year cost ≥ 75th percentile. Logistic regressions examined association of high cost with race/ethnicity, adjusting for demographic, clinical, economic, and treatment quality factors. In cases with continuous 2-year data, we obtained costs in two 6-month periods before and two after the index event.

RESULTS

Cohort was ~62% African Americans (AAs), 11% Hispanics, 5% Asians, and 2% American Indian/Alaska Natives. Mean costs in the follow-up were ~$30 000 (median = $11 547; new cases, mean = $44 642; median = $25 008). About 19% white compared to 27% AA cases had high cost. AA had higher odds of high cost in adjusted analyses (odds ratio [OR] = 1.20, 95% confidence interval [CI] = 1.11-1.29), although this was only marginally significant when adjusting for AED adherence (OR = 1.09, 95% CI = 1.01-1.18, P = 0.03). Factors associated with high cost included ≥1 comorbidity, neurological care, and low AED adherence. Costs were highest at ~$17 000 in the 6 months immediately before and after the index event (>$29 000 for new cases).

SIGNIFICANCE

The financial sequelae of epilepsy among older Americans disproportionally affect minorities. Studies should examine contributors to high costs.

An estimation of global volume of surgically treatable epilepsy based on a systematic review and meta-analysis of epilepsy

OBJECTIVE

Epilepsy is one of the most common neurological disorders, yet its global surgical burden has yet to be characterized. The authors sought to compile the most current epidemiological data to quantify global prevalence and incidence, and estimate global surgically treatable epilepsy. Understanding regional and global epilepsy trends and potential surgical volume is crucial for future policy efforts and resource allocation.

METHODS

The authors performed a systematic literature review and meta-analysis to determine the global incidence, lifetime prevalence, and active prevalence of epilepsy; to estimate surgically treatable epilepsy volume; and to evaluate regional trends by WHO regions and World Bank income levels. Data were extracted from all population-based studies with prespecified methodological quality across all countries and demographics, performed between 1990 and 2016 and indexed on PubMed, EMBASE, and Cochrane. The current and annual new case volumes for surgically treatable epilepsy were derived from global epilepsy prevalence and incidence.

RESULTS

This systematic review yielded 167 articles, across all WHO regions and income levels. Meta-analysis showed a raw global prevalence of lifetime epilepsy of 1099 per 100,000 people, whereas active epilepsy prevalence is slightly lower at 690 per 100,000 people. Global incidence was found to be 62 cases per 100,000 person-years. The meta-analysis predicted 4.6 million new cases of epilepsy annually worldwide, a prevalence of 51.7 million active epilepsy cases, and 82.3 million people with any lifetime epilepsy diagnosis. Differences across WHO regions and country incomes were significant. The authors estimate that currently 10.1 million patients with epilepsy may be surgical treatment candidates, and 1.4 million new surgically treatable epilepsy cases arise annually. The highest prevalences are found in Africa and Latin America, although the highest incidences are reported in the Middle East and Latin America. These regions are primarily low- and middle-income countries; as expected, the highest disease burden falls disproportionately on regions with the fewest healthcare resources.

CONCLUSIONS

Understanding of the global epilepsy burden has evolved as more regions have been studied. This up-to-date worldwide analysis provides the first estimate of surgical epilepsy volume and an updated comprehensive overview of current epidemiological trends. The disproportionate burden of epilepsy on low- and middle-income countries will require targeted diagnostic and treatment efforts to reduce the global disparities in care and cost. Quantifying global epilepsy provides the first step toward restructuring the allocation of healthcare resources as part of global healthcare system strengthening.

Latitudinal differences on the global epidemiology of infantile spasms: systematic review and meta-analysis

BACKGROUND

Infantile spasms represent the catastrophic, age-specific seizure type associated with acute and long-term neurological morbidity. However, due to rarity and heterogenous determination, there is persistent uncertainty of its pathophysiological and epidemiological characteristics. The purpose of the current study was to address a historically suspected latitudinal basis of infantile spasms incidence, and to interrogate a geographical basis of epidemiology, including the roles of latitude and other environmental factors, using meta-analytic and -regression methods.

METHODS

A systematic search was performed in Ovid MEDLINE and Embase for primary reports on infantile spasms incidence and prevalence epidemiology.

RESULTS

One thousand fifteen studies were screened to yield 54 eligible publications, from which 39 incidence figures and 18 prevalence figures were extracted. The pooled incidence was 0.249 cases/1000 live births. The pooled prevalence was 0.015 cases/1000 population. Univariate meta-regression determined a continental effect, with Europe demonstrating the highest onset compared from Asia (OR = 0.51, p = 0.004) and from North America (OR = 0.50, p = 0.004). Latitude was also positively correlated with incidence globally (OR = 1.02, p < 0.001). Sub-analyses determined a particularly elevated Scandinavian incidence compared to the rest of world (OR = 1.88, p < 0.001), and lack of latitudinal effect with Scandinavian exclusion (p = 0.10). Metrics of healthcare quality did not predict incidence. Multiple meta-regression determined that latitude was the key predictor of incidence (OR = 1.02, p = 0.001).

CONCLUSIONS

This is the first systematic epidemiological study of infantile spasms. Limitations included lack of Southern hemispheric representation, insufficient study selection and size to support some sub-continental analyses, and lack of accessible ethnic and healthcare quality data. Meta-analyses determined a novel, true geographical difference in incidence which is consistent with a latitudinal and/or ethnic contribution to epileptogenesis. These findings justify the establishment of a global registry of infantile spasms epidemiology to promote future systematic studies, clarify risk factors, and expand understanding of the pathophysiology.

Nationwide Healthcare utilization among children with epilepsy in the United States: 2003-2014

BACKGROUND

Epilepsy is particularly frequent among children, yet updated and nationwide healthcare utilization estimates are scanty in the United States.

OBJECTIVE

To analyze healthcare utilization among children with epilepsy.

METHODS

Data on children (≤17-year-old) were extracted from the Medical Expenditure Panel Survey (MEPS) 2003-2014. Epilepsy was identified using the clinical classification code 83. Healthcare utilization (Inpatient admission, outpatient visits, prescription medication including refill, emergency room visits, and home health provider visits) was compared between children with epilepsy and those without epilepsy. A negative binomial model was used to assess the relationship between epilepsy and healthcare utilizations accounting for the influence of extraneous factors.

RESULTS

In all, a weighted 457,873 children (0.84%) had epilepsy in United States. The unadjusted proportion and the mean annual number of health care service utilization were higher in children with epilepsy compared to those without epilepsy. Children with epilepsy had almost 3.3 more outpatient visits (95% CI: 2.281-4.274), 7.9 more medication prescriptions including refills (95% CI: 6.058-9.662), nearly 0.4 more emergency department visits (95% CI: 0.278-0.438) and nearly 12 more home health provider visits (95% CI: 1.988-21.756) than those without epilepsy. The adjusted marginal effect of epilepsy on inpatient admission was not statistically significant.

CONCLUSION

unadjusted and adjusted healthcare utilization is considerably higher in children with epilepsy compared to those without epilepsy in the United States with heterogeneity across individual services.

Effect of Epilepsy on Families, Communities, and Society

The effect of epilepsy extends beyond those with the diagnosis and impacts families, communities and society. Caregiver and sibling quality of life is often negatively affected by frequent seizures, comorbid behavioral and sleep disorders and stigma surrounding the diagnosis. Furthermore, the negative effects can be magnified by individual coping styles and resources available to families of those with epilepsy. Beyond the family and immediate caregivers, epilepsy affects local communities by drawing additional resources from education systems. The direct costs of caring for an individual with epilepsy and the indirect costs associated with decreased productivity place financial strain on individuals and health care systems throughout the world. This review details factors affecting family and caregiver quality of life and provides several approaches through which health care providers may address these concerns. Furthermore, we examine the financial effect of epilepsy on society and review emerging strategies to lessen health care use for individuals with epilepsy.

Accuracy of claims-based algorithms for epilepsy research: Revealing the unseen performance of claims-based studies

OBJECTIVE

To evaluate published algorithms for the identification of epilepsy cases in medical claims data using a unique linked dataset with both clinical and claims data.

METHODS

Using data from a large, regional health delivery system, we identified all patients contributing biologic samples to the health system's Biobank (n = 36K). We identified all subjects with at least one diagnosis potentially consistent with epilepsy, for example, epilepsy, convulsions, syncope, or collapse, between 2014 and 2015, or who were seen at the epilepsy clinic (n = 1,217), plus a random sample of subjects with neither claims nor clinic visits (n = 435); we then performed a medical chart review in a random subsample of 1,377 to assess the epilepsy diagnosis status. Using the chart review as the reference standard, we evaluated the test characteristics of six published algorithms.

RESULTS

The best-performing algorithm used diagnostic and prescription drug data (sensitivity = 70%, 95% confidence interval [CI] 66-73%; specificity = 77%, 95% CI 73-81%; and area under the curve [AUC] = 0.73, 95%CI 0.71-0.76) when applied to patients age 18 years or older. Restricting the sample to adults aged 18-64 years resulted in a mild improvement in accuracy (AUC = 0.75,95%CI 0.73-0.78). Adding information about current antiepileptic drug use to the algorithm increased test performance (AUC = 0.78, 95%CI 0.76-0.80). Other algorithms varied in their included data types and performed worse.

SIGNIFICANCE

Current approaches for identifying patients with epilepsy in insurance claims have important limitations when applied to the general population. Approaches incorporating a range of information, for example, diagnoses, treatments, and site of care/specialty of physician, improve the performance of identification and could be useful in epilepsy studies using large datasets.

Causal inference as an emerging statistical approach in neurology: an example for epilepsy in the elderly

The elderly population faces an increasing number of cases of chronic neurological conditions, such as epilepsy and Alzheimer's disease. Because the elderly with epilepsy are commonly excluded from randomized controlled clinical trials, there are few rigorous studies to guide clinical practice. When the elderly are eligible for trials, they either rarely participate or frequently have poor adherence to therapy, thus limiting both generalizability and validity. In contrast, large observational data sets are increasingly available, but are susceptible to bias when using common analytic approaches. Recent developments in causal inference-analytic approaches also introduce the possibility of emulating randomized controlled trials to yield valid estimates. We provide a practical example of the application of the principles of causal inference to a large observational data set of patients with epilepsy. This review also provides a framework for comparative-effectiveness research in chronic neurological conditions.

Health resource utilization varies by comorbidities in children with epilepsy

OBJECTIVES

Comorbidities in adults with epilepsy have been shown to significantly increase health resource utilization (HRU). The current study aimed to determine whether a similar association exists among children with epilepsy in a universal health insurance system.

METHODS

Health administrative databases in Ontario, Canada were used to evaluate the frequency of neurologist visits, emergency department (ED) visits, and hospitalizations. We evaluated the association between HRU and comorbidities, including depression, anxiety, learning disability, attention deficit hyperactivity disorder (ADHD), and autistic spectrum disorder (ASD), adjusting for age, sex, residence, and socio-economic status.

RESULTS

The frequency of neurology visits was increased by comorbid depression, ASD, and learning disability (adjusted relative risk [aRR]=1.29-2.07; p<.01). The frequency of ED visits was increased by all comorbidities (aRR=1.26-2.83; p<.0001). The frequency of hospitalizations was increased by comorbid depression, anxiety, ASD, and learning disability (aRR=1.77-7.20; p<.0001). Learning disability had the largest impact on HRU. For each additional comorbidity, the frequency of neurology visits, ED visits, and hospitalizations increased by 1.64 to 3.16 times (p<.0001).

CONCLUSIONS

Among children with epilepsy, mental health and developmental comorbidities were associated with increased HRU, and different comorbidities influenced different types of HRU. In addition, we highlight the importance of identifying and managing these comorbidities, as they increased the risks of costly HRU such as ED visits and hospitalizations.

Factors associated with seizure recurrence in epilepsy patients treated with antiepileptic monotherapy: A retrospective observational cohort study using US administrative insurance claims

BACKGROUND

Few studies examine predictors of seizures in medically treated patients with epilepsy receiving antiepileptic monotherapy using a large patient population.

OBJECTIVE

Our objective was to identify clinical, medication, and demographic factors associated with seizure recurrence in medically treated patients with epilepsy receiving one of four antiepileptic monotherapy regimens: lamotrigine, levetiracetam, oxcarbazepine, or topiramate.

STUDY DESIGN

A retrospective cohort study was conducted using Innovus Invision™ Data Mart paid medical and prescription US commercial insurance claims data from January 2007 to September 2010.

METHODS

Patients aged 18-64 years with a primary or secondary diagnosis of epilepsy and one or more prescription claim for an antiepileptic drug (AED) pre-index were included. The primary outcome was incidence of a seizure or seizure-related event, defined as an emergency room visit, ambulance service use, or inpatient hospitalization medical claim with a primary or secondary diagnosis of epilepsy during the 1-year follow-up. The factors included AED adherence, somatic comorbidity (measured via Charlson Comorbidity Index), mental health comorbidity, pre-index seizure, type of epilepsy diagnosis, presence of AED-interacting medications and any bioequivalent AED switch. The covariates included age, gender, and geographic region of residence.

RESULTS

A total of 5.3 % (166/3,140) of patients on AED monotherapy had experienced a seizure or a seizure-related event requiring urgent care at 1-year follow-up. The multivariate analysis of the combined cohort showed that pre-index seizures/seizure-related events (odds ratio [OR] 4.23; 95 % confidence interval [CI] 2.77-6.46), any mental health comorbidity (OR 3.50; 95 % CI 2.14-5.70), and Charlson Comorbidity Index ≥1 (OR 2.91; 95 % CI 1.98-4.28) were significantly associated with post-index seizures/seizure-related events. Patients residing in Northeastern USA had a higher likelihood of a post-index seizure (OR 1.90; 95 % CI 1.17-3.08) than patients residing in the Southern region of the USA. Bioequivalent AED switch, type of epilepsy diagnosis, AED adherence, and presence of AED-interacting medications were not associated with seizure recurrence in the combined cohort analysis (p > 0.05).

CONCLUSIONS

Epilepsy patients with comorbid conditions (both mental and somatic diseases) and prior seizures were more likely to experience seizures at 1-year follow-up. Non-adherent patients and patients with bioequivalent AED switches appeared to show no increased likelihood of seizure at follow-up. Clinicians may consider these findings before starting or transitioning to an AED monotherapy.

Healthcare utilization and costs in adults with stable and uncontrolled epilepsy

Despite the availability of numerous antiepileptic drugs (AEDs), some epilepsies remain resistant to treatment. We compared utilization and costs in patients with uncontrolled epilepsy to those with stable epilepsy. Claims data (2007-2009) were used to identify adults with epilepsy requiring additional AED therapy (having uncontrolled epilepsy) and those not requiring additional AED therapy (having stable epilepsy). The date in 2008 on which an additional AED was started was the index date for patients with uncontrolled epilepsy, and a randomly selected date was used for patients with stable epilepsy, whose AED use was unchanged in the preceding year. In the postindex year, all pharmacy and medical claims were used to estimate overall utilization and costs; claims with epilepsy in any diagnosis field were used to estimate epilepsy-related outcomes. Outcomes were adjusted using multivariate analyses. We identified 1536 patients with uncontrolled epilepsy and 8571 patients with stable epilepsy (mean age: 42.8years; female: 48%). Patients with uncontrolled epilepsy had higher comorbidity rates (p<.02). A greater proportion of patients with uncontrolled epilepsy had ≥1 hospitalization or emergency department visit (p<.001). Patients with uncontrolled epilepsy had a greater mean length of hospital stay and more physician office visits (p<.034). After adjustment, the odds of hospitalization (OR: 1.8, any diagnosis; 2.2, epilepsy-related) and emergency department visit (OR: 1.6, any diagnosis; 1.9, epilepsy-related) were greater for patients with uncontrolled epilepsy. Annual overall ($23,238 vs. $13,839) and epilepsy-related ($12,399 vs. $5511) costs were higher in patients with uncontrolled epilepsy and remained higher after adjustment (p<.001). Patients with uncontrolled epilepsy use more services and incur higher costs compared with those with stable epilepsy. Epilepsy-related costs accounted for <50% of the total costs, suggesting that comorbid conditions and/or underidentification of utilization may substantially contribute to costs.

Defining incident cases of epilepsy in administrative data

PURPOSE

To determine the minimum enrollment duration for identifying incident cases of epilepsy in administrative data.

METHODS

We performed a retrospective dynamic cohort study using Ohio Medicaid data from 1992 to 2006 to identify a total of 5037 incident epilepsy cases who had at least 1 year of follow-up prior to epilepsy diagnosis (epilepsy-free interval). The incidence for epilepsy-free intervals from 1 to 8 years, overall and stratified by pre-existing disability status, was examined. The graphical approach between the slopes of incidence estimates and the epilepsy-free intervals was used to identify the minimum epilepsy-free interval that minimized misclassification of prevalent as incident epilepsy cases.

RESULTS

As the length of epilepsy-free interval increased, the incidence rates decreased. A graphical plot showed that the decline in incidence of epilepsy became nearly flat beyond the third epilepsy-free interval.

CONCLUSION

The minimum of 3-year epilepsy-free interval is needed to differentiate incident from prevalent cases in administrative data. Shorter or longer epilepsy-free intervals could result in over- or under-estimation of epilepsy incidence.

Resource utilization in children with tuberous sclerosis complex and associated seizures: a retrospective chart review study

Seizures are a hallmark manifestation of tuberous sclerosis complex, yet data characterizing resource utilization are lacking. This retrospective chart review was performed to assess the economic burden of tuberous sclerosis complex with neurologic manifestations. Demographic and resource utilization data were collected for 95 patients for up to 5 years after tuberous sclerosis complex diagnosis. Mean age at diagnosis was 3.1 years, with complex partial and infantile spasms as the most common seizure types. In the first 5 years post-diagnosis, 83.2% required hospitalization, 30.5% underwent surgery, and the majority of patients (90.5%) underwent ≥3 testing procedures. In 79 patients with a full 5 years of data, hospitalizations, intensive care unit stays, diagnostic testing, and rehabilitation services decreased over the 5-year period. Resource utilization is cost-intensive in children with tuberous sclerosis complex and associated seizures during the first few years following diagnosis. Improving seizure control and reducing health care costs in this population remain unmet needs.

Antiepileptic drug treatment patterns and economic burden of commercially-insured patients with refractory epilepsy with partial onset seizures in the United States

OBJECTIVE

To assess the economic burden in direct healthcare utilization and costs for refractory epileptic patients with partial onset seizures (POS) and assess the antiepileptic drug (AED) treatment patterns among these patients.

METHODS

This retrospective database study analyzed administrative claims of commercially-insured patients with POS from 2004-2008. Healthcare costs and utilization were compared between refractory (defined as ≥3 AEDs) and non-refractory patients by calendar year and AED treatment patterns were described for refractory patients.

RESULTS

Of the 79,149 patients identified (mean age 33 years; 54.8% female), 8714 (11%) were classified as refractory. In 2008, average annual healthcare costs for refractory patients were significantly higher than non-refractory patients ($33,613 vs $19,085), also by settings for inpatient ($11,780 vs $6076), outpatient ($13,431 vs $8637), and pharmacy costs ($8402 vs $4372) (all p < 0.001). Among refractory patients, close to one-third of total costs were for POS-related services. Similar trends were observed when assessing POS-related utilization and costs. The differences were consistent across all calendar years examined. Among refractory patients, 80.5% were on monotherapy at the beginning of the follow-up period. Levetiracetam is the common AED in mono/combination therapy as well as add-on/switch-to.

LIMITATIONS

The onset of seizure cannot be identified, and the indication of each AED could not be confirmed from the pharmacy claims. Only direct medical costs were assessed.

CONCLUSIONS

Pattern of use was very dynamic, suggesting seizures are not well-controlled. Improving seizure control and reducing economic burden of refractory epilepsy remain important unmet medical needs in this population.

Prevalence of treated epilepsy in Korea based on national health insurance data

The Korean national health security system covers the entire population and all medical facilities. We aimed to estimate epilepsy prevalence, anticonvulsant utilization pattern and the cost. We identified prevalent epilepsy patients by the prescription of anticonvulsants under the diagnostic codes suggesting seizure or epilepsy from 2007 Korean National Health Insurance databases. The information of demography, residential area, the kind of medical security service reflecting economic status, anticonvulsants, and the costs was extracted. The overall prevalence of treated epilepsy patients was 2.41/1,000, and higher for men than women. The age-specific prevalence was the lowest in those in their thirties and forties. Epilepsy was more prevalent among lower-income individuals receiving medical aid. The regional prevalence was the highest in Jeju Island and lowest in Ulsan city. New anticonvulsants were more frequently used than old anticonvulsants in the younger age group. The total annual cost of epilepsy or seizure reached 0.46% of total medical expenditure and 0.27% of total expenditure on health. This is the first nationwide epidemiological report issued on epilepsy in Korea. Epilepsy prevalence in Korea is comparable to those in developed countries. Economic status and geography affect the prevalence of epilepsy.

Epilepsy is associated with unmet health care needs compared to the general population despite higher health resource utilization--a Canadian population-based study

PURPOSE

(1) To determine whether health resource utilization (HRU) and unmet health care needs differ for individuals with epilepsy compared to the general population or to those with another chronic condition (asthma, diabetes, migraine); and (2) to assess the association among epilepsy status, sociodemographic variables and HRU.

METHODS

Data on HRU were assessed using the 2001-2005 Canadian Community Health Surveys, a nationally representative population-based survey. Weighted estimates of association were produced as adjusted odds ratio with 95% confidence intervals, and logistic regression was used to explore the association between sociodemographic variables and HRU in those with epilepsy. All data on disease status, HRU, and unmet health care needs were self-reported.

KEY FINDINGS

Individuals with epilepsy had the highest rate of hospitalizations and the highest mean number of consultations with physicians. Despite higher rates of consultation with psychologists and social workers compared to the general population, those with epilepsy were significantly more likely to say they had unmet mental health care needs. People with epilepsy were also less likely to use dental services compared to the general population. Epilepsy was a significant predictor of HRU in logistic regression models.

SIGNIFICANCE

Given the prevalence of psychiatric comorbidities in those with epilepsy, it is concerning that this group perceives unmet mental health care needs. It is also troublesome that there was decreased utilization of dental health care resources in those with epilepsy considering that these patients are more likely to have poor oral health. Although individuals with epilepsy use more health care services than the general population, this increase appears to be insufficient to address their health care needs.

Predictors of health-related quality of life and costs in adults with epilepsy: a systematic review

PURPOSE

Given the high burden of epilepsy on both health-related quality of life (HRQoL) and costs, identification of factors that are predictive of either reduced HRQoL or increased expenditure is central to the better future targeting and optimization of existing and emerging interventions and management strategies for epilepsy.

METHODS

Searches of Medline, Embase, and Cochrane Library (up to July 2010) to identify studies examining the association between demographic, psychosocial, and condition-related factors and HRQoL, resource utilization or costs in adults with epilepsy. For each study, predictor factor associations were summarized on the basis of statistical significance and direction; the results were then combined across studies.

KEY FINDINGS

Ninety-three HRQoL and 16 resource utilization/cost studies were included. Increases in seizure frequency, seizure severity, level of depression, and level of anxiety and presence of comorbidity were strongly associated with reduced HRQoL. The majority of studies were cross-sectional in design and had an overall methodologic quality that was judged to be "moderate" for HRQoL studies and "poor" for health care resource or costs studies. In the 53 multivariate studies, age, gender, marital status, type of seizure, age at diagnosis, and duration of epilepsy did not appear to be associated with HRQoL, whereas the predictive influence of educational and employment status, number of antiepileptic drugs (AEDs) and AED side effects was unclear. The association between predictive factors and HRQoL appeared to be consistent across individuals whether refractory or seizures controlled or managed by AEDs. There were insufficient multivariate studies (five) to reliably comment on the predictors of resource utilization or cost in epilepsy.

SIGNIFICANCE

In addition to seizure control, effective epilepsy management requires the early detection of those most at risk of psychological dysfunction and comorbidity, and the targeting of appropriate interventions. There is need for more rigorous studies with appropriate multivariate statistical methods that prospectively investigate the predictors of HRQoL, resource utilization, and costs in epilepsy.

Emergency department care of seizure patients: demographic trends in southern Arizona

The aim of this study was to describe the epidemiology of epilepsy and characteristics of patients with seizures who presented at the Yuma Regional Medical Center Emergency Department (YRMC ED) from 2005 to 2008. A seizure diagnosis was present in 2.7% of the patients, and accounted for 1.7% of all ED visits. Visits by patients identified as having epilepsy accounted for 0.3% of all ED visits. Patients with seizures were 2.8 times more likely to have used the ED for 2 or more years of the study period compared with control patients. Patients with at least one ED visit because of seizures were more likely to have multiyear visits, 43.6% visiting the ED within 2 or more years. Patients with epilepsy and seizures were significantly younger than the no-seizure control group. Patients who had ever been admitted to the ED for seizures or epilepsy had higher ED utilization even if the subsequent admissions were not seizure related.