SUMMARYObjective: To develop estimates of the direct cost of epilepsy in the United States for the general epilepsy population and sub-populations by systematically comparing similarities and differences in types of estimates and estimation methods from recently published studies. Methods: Papers published since 1995 were identified by systematic literature search. Information on types of estimates, study designs, data sources, types of epilepsy, and estimation methods was extracted from each study. Annual per person cost estimates from methodologically similar studies were identified, converted to 2013 U.S. dollars, and compared. Results: From 4,104 publications discovered in the literature search, 21 were selected for review. Three were added that were published after the search. Eighteen were identified that reported estimates of average annual direct costs for the general epilepsy population in the United States. For general epilepsy populations (comprising all clinically defined subgroups), total direct healthcare costs per person ranged from $10,192 to $47,862 and epilepsy-specific costs ranged from $1,022 to $19,749. Four recent studies using claims data from large general populations yielded relatively similar epilepsy-specific annual cost estimates ranging from $8,412 to $11,354. Although more difficult to compare, studies examining direct cost differences for epilepsy sub-populations indicated a consistent pattern of markedly higher costs for those with uncontrolled or refractory epilepsy, and for those with comorbidities. Significance: This systematic review found that various approaches have been used to estimate the direct costs of epilepsy in the United States. However, recent studies using large claims databases and similar methods allow estimation of the direct cost burden of epilepsy for the general disease population, and show that it is greater for some patient subgroups. Additional research is needed to further understand the broader economic burden of epilepsy and how it varies across subpopulations.

Patients with Parkinson’s disease (PD) may experience falls and/or fractures as a result of disease symptoms. There are limited data available from long-term studies estimating the incidence of falls/fractures in patients with PD. The objective was to compare the incidence rate of falls/fractures in PD patients with non-PD patients in a US population. This was a retrospective study using a US-based claims database (Truven Health MarketScan®) that compared the incidence rate of falls/fractures in PD subjects with non-PD subjects. The study period included the 12 months prior to index date (defined as earliest PD diagnosis [International Classification of Diseases, Ninth Revision, Clinical Modification code 332.0]) and a postindex period to the end of data availability. Fractures were defined by inpatient/outpatient claims as a principal or secondary diagnosis and accompanying procedure codes during the postindex period. Incidence rates and 95% CIs for falls/fractures were calculated as the number of events per 10,000 person-years of follow-up using negative binomial or Poisson regression models. Twenty-eight thousand two hundred and eighty PD subjects were matched to non-PD subjects for the analysis (mean [SD] age, 71.4 [11.8] years; 53% male). A higher incidence rate (adjusted for comorbidities and medications) of all fall/fracture cases and by fall and fracture types was observed for PD subjects versus non-PD subjects; the overall adjusted incidence rate ratio comparing PD to non-PD subjects was 2.05; 95% CI, 1.88–2.24. The incidence rate of falls/fractures was significantly higher in subjects with PD compared with non-PD subjects in a US population.

Summary Objective Determine prevalence and incidence of epilepsy within two health insurance claims databases representing large sectors of the U.S. population. Methods A retrospective observational analysis using Commercial Claims and Medicare (CC&M) Supplemental and Medicaid insurance claims data between January 1, 2007 and December 31, 2011. Over 20 million continuously enrolled lives of all ages were included. Our definition of a prevalent case of epilepsy was based on International Classification of Diseases, Ninth Revision, Clinical Modification–coded diagnoses of epilepsy or seizures and evidence of prescribed antiepileptic drugs. Incident cases were identified among prevalent cases continuously enrolled for ≥2 years before the year of incidence determination with no epilepsy, seizure diagnoses, or antiepileptic drug prescriptions recorded. Results During 2010 and 2011, overall age‐adjusted prevalence estimate, combining weighted estimates from all datasets, was 8.5 cases of epilepsy/1,000 population. With evaluation of CC&M and Medicaid data separately, age‐adjusted prevalence estimates were 5.0 and 34.3/1,000 population, respectively, for the same period. The overall age‐adjusted incidence estimate for 2011, combining weighted estimates from all datasets, was 79.1/100,000 population. Age‐adjusted incidence estimates from CC&M and Medicaid data were 64.5 and 182.7/100,000 enrollees, respectively. Incidence data should be interpreted with caution due to possible misclassification of some prevalent cases. Significance The large number of patients identified as having epilepsy is statistically robust and provides a credible estimate of the prevalence of epilepsy. Our study draws from multiple U.S. population sectors, making it reasonably representative of the U.S.‐insured population.

A series of analogous arrays of small, non-peptidyl, non-oligomeric compounds were synthesized on polystyrene resin. With the aid of a functionally differentiated phenolic scaffold, the batch preparation of unique benzamide and urea resins was accomplished, which were further derivatized in modified 96-well plates. An efficient cleavage reaction of the phenyl benzoate link enabled the isolation of more than 600 phenolic compounds in milligram quantities that were suitable for direct biological screening. The technology described herein represents a facile, economical approach to non-peptidyl chemical diversity.

Objective:The study objective was to test whether engaging in an online patient community improves self-management and self-efficacy in veterans with epilepsy.Methods:The study primary outcomes were validated questionnaires for self-management (Epilepsy Self-Management Scale [ESMS]) and self-efficacy (Epilepsy Self-Efficacy Scale [ESES]). Results were based on within-subject comparisons of pre- and postintervention survey responses of veterans with epilepsy engaging with the PatientsLikeMe platform for a period of at least 6 weeks. Analyses were based on both completer and intention-to-treat scenarios.Results:Of 249 eligible participants enrolled, 92 individuals completed both surveys. Over 6 weeks, completers improved their epilepsy self-management (ESMS total score from 139.7 to 142.7, p = 0.02) and epilepsy self-efficacy (ESES total score from 244.2 to 254.4, p = 0.02) scores, with greatest impact on an information management subscale (ESMS–information management total score from 20.3 to 22.4, p < 0.001). Results were similar in intention-to-treat analyses. Median number of logins, postings to forums, leaving profile comments, and sending private messages were more common in completers than noncompleters.Conclusions:An internet-based psychosocial intervention was feasible to implement in the US veteran population and increased epilepsy self-management and self-efficacy scores. The greatest improvement was noted for information management behaviors. Patients with chronic conditions are increasingly encouraged to self-manage their condition, and digital communities have potential advantages, such as convenience, scalability to large populations, and building a community support network.Classification of evidence:This study provides Class IV evidence that for patients with epilepsy, engaging in an online patient community improves self-management and self-efficacy.