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Objective: Prior studies have examined chronic conditions in older adults with prevalent epilepsy, but rarely among those with incident epilepsy. Identifying the chronic conditions with which older adults present at epilepsy incidence assists with the evaluation of disease burden in this patient population and informs coordinated care development. The aim of this study was to identify preexisting chronic conditions with excess prevalence in older adults with incident epilepsy compared to those without., Methods: Using a random sample of 4 999 999 fee-for-service Medicare beneficiaries aged >65 years, we conducted a retrospective cohort study of epilepsy incidence in 2019. Non-Hispanic Black and Hispanic beneficiaries were oversampled. We identified preexisting chronic conditions from the 2016-2018 Medicare Beneficiary Summary Files and compared chronic condition prevalence between Medicare beneficiaries with and without incident epilepsy in 2019. We characterized variations in preexisting excess chronic condition prevalence by age, sex, and race/ethnicity, adjusting for the racial/ethnic oversampling., Results: We observed excess prevalence of most preexisting chronic conditions in beneficiaries with incident epilepsy (n = 20 545, weighted n = 19 631). For stroke, for example, the adjusted prevalence rate ratio (APRR) was 4.82 (99% CI:4.60, 5.04), meaning that, compared to those without epilepsy, beneficiaries with incident epilepsy in 2019 had 4.82 times the stroke prevalence. Similarly, beneficiaries with incident epilepsy had a higher prevalence rate for preexisting neurological conditions (APRR = 3.17, 99% CI = 3.08-3.27), substance use disorders (APRR = 3.00, 99% CI = 2.81-3.19), and psychiatric disorders (APRR = 1.98, 99% CI = 1.94-2.01). For most documented chronic conditions, excess prevalence among beneficiaries with incident epilepsy in 2019 was larger for younger age groups compared to older age groups, and for Hispanic beneficiaries compared to both non-Hispanic White and non-Hispanic Black beneficiaries., Significance: Compared to epilepsy-free Medicare beneficiaries, those with incident epilepsy in 2019 had a higher prevalence of most preexisting chronic conditions. Our findings highlight the importance of health promotion and prevention, multidisciplinary care, and elucidating shared pathophysiology to identify opportunities for prevention., (© 2024 The Author(s). Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.)

At present, there is no internationally accepted set of core outcomes or measurement methods for epilepsy clinical practice. Therefore, the International Consortium for Health Outcomes Measurement (ICHOM) convened an international working group of experts in epilepsy, people with epilepsy and their representatives to develop minimum sets of standardized outcomes and outcomes measurement methods for clinical practice that support patient-clinician decision-making and quality improvement. Consensus methods identified 20 core outcomes. Measurement tools were recommended based on their evidence of strong clinical measurement properties, feasibility, and cross-cultural applicability. The essential outcomes included many non-seizure outcomes: anxiety, depression, suicidality, memory and attention, sleep quality, functional status, and the social impact of epilepsy. The proposed set will facilitate the implementation of the use of patient-centered outcomes in daily practice, ensuring holistic care. They also encourage harmonization of outcome measurement, and if widely implemented should reduce the heterogeneity of outcome measurement, accelerate comparative research, and facilitate quality improvement efforts., (© 2024 The Authors. Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.)

Aims: Despite advances in care, people with epilepsy experience negative health events (NHEs), such as seizures, emergency department (ED) visits and hospitalizations. This analysis using baseline data from an epilepsy self-management clinical trial targeting people from rural regions and other underserved populations assessed the relationship between demographic and clinical variables vs. NHEs., Methods: Data to evaluate disparities and clinical correlates was collected using patient surveys from a baseline sample of 94 participants in a larger prospective study of 160 individuals with epilepsy who experienced an NHE within the last six months. Demographic characteristics, mental and physical functional status assessed using 36-Item Short Form Health Survey questionnaire version 2 (SF-36v2), depression assessed with the 9-item Patient Health Questionnaire (PHQ-9), quality of life assessed with the 10-item Quality of Life in Epilepsy Inventory (QOLIE-10), self-efficacy assessed the Epilepsy Self-Efficacy Scale (ESES), social support assessed with the Multidimensional Scale of Perceived Social Support (MSPSS), self-management assessed with the Epilepsy Self-Management Scale (ESMS), and stigma assessed with the Epilepsy Stigma Scale (ESS) were all examined in association with past 6-month total NHE frequency as well as NHE sub-categories of past 30-day and 6-month seizure counts, self-harm attempts, ED visits and hospitalizations. An exploratory evaluation of NHE correlates in relation to the Rural Urban Continuum Code (RUCC) residence classification compared 3 subgroups of increasing rurality. Descriptive statistics were generated for demographic and clinical variables and NHEs, and exploratory analyses compared the distribution of demographic, clinical, and NHE variables by RUCC categorization., Results: The mean age was 38.5 years (SD 11.9), predominantly female (N= 62, 66.0%) and white (N=81, 86.2%). Just a little under half (N=43, 45.7%) of participants had annual incomes of less than $25,000, and 40% (N=38) were rural residents (RUCC >3). The past 6-month NHEs count was 20.4 (SD 32.0). Seizures were the most common NHE with a mean 30-day seizure frequency = 5.4 (SD 11.8) and 6-month seizure frequency of 18.7 (SD 31.6). Other NHE types were less common with a past 6-month self-harm frequency of 0.16 (SD 1.55), ED visit frequency of 0.72 (SD 1.10), and hospitalization frequency of 0.28 (SD 1.02). There were few significant demographic and clinical correlates for total and sub-categories of NHEs. Worse physical health status, as measured by the physical component summary (PCS) of the SF-36v2, was significantly associated with 6-month seizure counts (p=.04). There were no significant differences between the 3 RUCC subgroups on demographic variables. However, past 30-day seizure count, past 6-month seizure count and total past 6-month NHE counts were all higher among individuals from more rural settings (p-values <.01 for each)., Conclusions: Rural adults with epilepsy were more likely to have a greater number of seizures and more epilepsy complications in general. Worse physical health function was also associated with more epilepsy complications. However, this analysis found few other demographic and clinical correlates of cumulative NHEs among adults with epilepsy. Additional efforts are needed to investigate health disparities among people with epilepsy who live in rural regions or who have poor physical health function., (Copyright © 2024 Elsevier B.V. All rights reserved.)

At present, there is no internationally accepted set of core outcomes or measurement methods for epilepsy clinical practice. The International Consortium for Health Outcomes Measurement (ICHOM) convened an international working group of experts in epilepsy, people with epilepsy, and their representatives to develop minimum sets of standardized outcomes and outcome measurement methods for clinical practice. Using modified Delphi consensus methods with consecutive rounds of online voting over 12 months, a core set of outcomes and corresponding measurement tool packages to capture the outcomes were identified for infants, children, and adolescents with epilepsy. Consensus methods identified 20 core outcomes. In addition to the outcomes identified for the ICHOM Epilepsy adult standard set, behavioral, motor, and cognitive/language development outcomes were voted as essential for all infants and children with epilepsy. The proposed set of outcomes and measurement methods will facilitate the implementation of the use of patient-centered outcomes in daily practice., (© 2024 The Authors. Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.)

Background: Psychotic disorders are prevalent among people with epilepsy compared to the general population. However, there is limited information regarding psychosis among people with epilepsy in Uganda. This study therefore determined the prevalence and associated factors of psychosis among adults with epilepsy attending Butabika National Referral Mental Hospital in Uganda., Methods: This was a cross-sectional study involving adults with epilepsy. The diagnosis of psychosis was assessed using the Mini-International Neuropsychiatric Interview, module for Psychotic disorders. Logistic regression analysis identified factors associated with psychosis., Results: Out of 250 participants, 6.8% had psychosis and 13.6% had depression. Psychosis was significantly associated with older age, greater perceived stigma and substance use., Conclusion: Psychosis affects nearly 7% of adults with epilepsy in Uganda especially among those who are older, with perceived stigma and substance use. Routine screening and early intervention to management of psychosis in PWE is highly recommended., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Purpose: We used a machine learning approach to identify the combinations of factors that contribute to lower adherence and high emergency department (ED) utilization., Methods: Using Medicaid claims, we identified adherence to anti-seizure medications and the number of ED visits for people with epilepsy in a 2-year follow up period. We used three years of baseline data to identify demographics, disease severity and management, comorbidities, and county-level social factors. Using Classification and Regression Tree (CART) and random forest analyses we identified combinations of baseline factors that predicted lower adherence and ED visits. We further stratified these models by race and ethnicity., Results: From 52,175 people with epilepsy, the CART model identified developmental disabilities, age, race and ethnicity, and utilization as top predictors of adherence. When stratified by race and ethnicity, there was variation in the combinations of comorbidities including developmental disabilities, hypertension, and psychiatric comorbidities. Our CART model for ED utilization included a primary split among those with previous injuries, followed by anxiety and mood disorders, headache, back problems, and urinary tract infections. When stratified by race and ethnicity we saw that for Black individuals headache was a top predictor of future ED utilization although this did not appear in other racial and ethnic groups., Conclusions: ASM adherence differed by race and ethnicity, with different combinations of comorbidities predicting lower adherence across racial and ethnic groups. While there were not differences in ED use across races and ethnicity, we observed different combinations of comorbidities that predicted high ED utilization., Competing Interests: Declaration of Competing Interest The authors declare that there is no direct conflict of interest regarding this study. Dr. Wyatt P. Bensken has received support for this work from the National Institute on Minority Health and Health Disparities of the National Institutes of Health and serves on the Editorial Board of the Journal Neurology. Dr. Omar I. Khan has received personal compensation as an Contributing Editor for Elsevier and has received salary support from two federal agencies, the NIH and Veterans Affairs and has an immediate family member who receives salary support as a clinical reviewer with the FDA. Dr. Barbara C. Jobst has received research support from Neuropace, Inc., as well as from the National Institutes of Health, the Center for Disease Control, the Diamond Foundation, and the National Science Foundation. She also serves as Associate Editor of the Journal Neurology. Dr. Martha Sajatovic has been funded by Nuromate, Otsuka, Alkermes, International Society for Bipolar Disorders (ISBD), National Institutes of Health (NIH), Centers for Disease Control and Prevention (CDC), Patient-Centered Outcomes Research Institute (PCORI); served as a consultant for: Alkermes, Otsuka, Janssen, Myriad, Health Analytics, Frontline Medical Communications. Royalties: Springer Press, Johns Hopkins University Press, Oxford Press, UpToDate; and been compensated for preparation of CME activities: American Physician's Institute, MCM Education, CMEology, Potomac Center for Medical Education, Global Medical Education, Creative Educational Concepts, Psychopharmacology Institute. Dr. Siran M. Koroukian is supported by grants from the National Cancer Institute, Case Comprehensive Cancer Center (P30 CA043703); National Institutes of Health (R15 NR017792, and UH3-DE025487); The American Society (132,678-RSGI-19–213–01-CPHPS and RWIA-20–111–02 RWIA); and by contracts from Cleveland Clinic Foundation, including a subcontract from Celgene Corporation., (Copyright © 2023 British Epilepsy Association. All rights reserved.)

Rationale: The promotion of evidence-based self-management support for people living with chronic conditions such as epilepsy is a public health priority. Epilepsy self-management encompasses three general areas: (1) treatment management, (2) seizure management, and (3) lifestyle management. Interventions focusing on self-management have increased quality of life and adherence to treatment. This study assesses and synthesizes the Managing Epilepsy Well Network (MEWN) program implementation experiences using the RE-AIM framework. This research informs the quality and rigor of MEWN program dissemination and implementation efforts to assess whether these programs are being implemented and their scalability., Methods: The study data were derived from a MEWN Self-management Program Survey conducted with currently active MEWN researchers through an online survey and review of program publications and archival documents. Survey data were obtained from either the principal investigator or study team for the UPLIFT, HOBSCOTCH, SMART, MINDSET, TIME, and PACES programs. The survey questionnaire included 6 sections consisting of 68 questions and focused on the RE-AIM dimensions and respondent characteristics. The RE-AIM dimensions included: (1) Reach, (2) Effectiveness, (3) Adoption (number of and type of adopting sites), (4) Implementation (retention rate, barriers to implementation), and (5) Maintenance., Results: Across the MEWN programs, participation (44-120 individuals) and delivery methods (community, clinic, or asynchronous; group or individual) ranged with most programs predominantly reaching White or African American participants. Common program outcome measures included clinical outcomes (e.g., depression, quality of life, seizure frequency) and indicators of self-management behaviors (e.g., problem-solving; self-efficacy). Initial efficacy trials suggested programs were effective in changing some of their targeted outcomes (effectiveness). Most programs were implemented in clinical settings and several programs are being replicated or adapted to different geographical (e.g., urban, rural, suburban) or demographic (e.g., race, age) settings (adoption). Program delivery methods involved a mixture of program staff, peer educators, and researchers. Implementation enabling factors included partnerships with local epilepsy organizations and the inclusion of peer educators. Retention rates for all programs averaged 83.6%. Internal barriers included recruitment and lack of sufficient resources for participants. External barriers included clinical staff buy-in, staffing, and insufficient funding for support staff. Despite uncertain funding, all programs offered next steps to sustain their initiatives such as packaging their programs, initiating adoption with regional organizations, and supporting organizational readiness (maintenance). Dissemination efforts included partnering with other organizations, provision of training and technical assistance, and partnering with national organizations on grant opportunities to scale up existing programs., Conclusion: These data showcase the impact of the MEWN self-management interventions on health and quality of life. These programs are employing training, readiness assessment, technical assistance, and development of partnerships to increase program scalability. Finally, program adaptations are being conducted to expand the interventions to other populations to address health inequalities. The lessons learned are critical for other interventions attempting to increase the translation of their programs to other settings., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Dr. Martha Sajatovic declares these other disclosures. Research grants within past 3 years: Nuromate, Otsuka, International Society for Bipolar Disorders (ISBD), National Institutes of Health (NIH), Centers for Disease Control and Prevention (CDC), Patient-Centered Outcomes Research Institute (PCORI). Consultant in the past year: Alkermes, Otsuka, Sunovion, Janssen, Lundbeck, Teva, Clinical Education Alliance, Health Analytics. Royalties in the past year: Springer Press, Johns Hopkins University Press, Oxford Press, UpToDate. Compensation for preparation of/participation in CME activities past year: American Physician’s Institute (CMEtoGo, Psychopharmacology Institute, Novus, American Epilepsy Society, American Society of Clinical Psychopharmacology, American Academy of Child and Adolescent Psychiatry, Neurocrine. Other authors disclose no competing interest for this study., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Epilepsy is a disease where disparities and inequities in risk and outcomes are complex and multifactorial. While most epilepsy research to date has identified several key areas of disparities, we set out to provide a multilevel life course model of epilepsy development, diagnosis, treatment, and outcomes to highlight how these disparities represent true inequities. Our piece also presents three hypothetical cases that highlight how the solutions to address inequities may vary across the lifespan. We then identify four key domains (structural, socio-cultural, health care, and physiological) that contribute to the persistence of inequities in epilepsy risk and outcomes in the United States. Each of these domains, and their core components in the context of epilepsy, are reviewed and discussed. Further, we highlight the connection between domains and key areas of intervention to strive towards health equity. The goal of this work is to highlight these domains while also providing epilepsy researchers and clinicians with broader context of how their work fits into health equity., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Objective: The Managing Epilepsy Well (MEW) Network conducts epilepsy self-management (ESM) intervention development, testing, and archival clinical trials data analyses in the MEW Network Integrated Database (MEW-DB). However, not all trial participants fully benefit from ESM due to prematurely discontinuing program participation. This analysis sought to identify demographic and clinical predictors of premature discontinuation (PD) of ESM interventions available in the MEW-DB., Methods: Data from prior studies were included if: 1) they were prospective trials testing an ESM intervention, 2) included baseline assessment and at least one post-intervention assessment, and 3) included data on PD. Dependent variables were all-cause PD, categorized as a binary variable (yes/no) and time to PD for the intervals between baseline and follow-up visit 1 (V1; approximately week 12) and visit two (V2; approximately week 24). Multivariable Cox proportional hazard models were used to identify factors affecting PD time-point. Explanatory variables included age, gender, race/ethnicity, education, employment, income, marital status, psychiatric comorbidities, depressive severity, anxiety symptoms, self-efficacy, number of anti-seizure medications (ASMs), health status, seizure frequency, and study design., Results: Six prior MEW-DB studies were included, consisting of 627 people, where 624 were assigned to ESM or to control. PD among randomized individuals was 14.3 % by V1 and 15.7 % by V2. Predictors for V1 PD were treatment (ESM) vs. control arm, more severe depressive symptoms and having schizophrenia. Predictors for V2 PD were younger age, white race, more severe depressive symptoms and having schizophrenia., Significance: While ESM approaches can improve multiple health outcomes among people with epilepsy, nearly one in six individuals prematurely discontinues their program. These findings suggest that ESM interventionists need to be particularly attentive to program retention over the first 3 months after ESM initiation. Younger people with epilepsy, those who self-identify as white, those with schizophrenia, and/or more severe depressive symptoms may need additional support for engagement., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Background: Epilepsy is associated with stigma and negatively impacts the lives of people living with epilepsy (PLWE) and their immediate families. More understanding of the stigma and discrimination experienced by PLWE in sub-Saharan Africa is needed., Methods: In a cross-sectional, mixed methods study, forty- eight PLWE who met the study inclusion criteria were enrolled. In depth interviews and focus group discussions were conducted and were audiotaped and transcribed verbatim. Analysis was conducted using a thematic, constant comparative approach with an emphasis on dominant themes. Perceived stigma was measured using the Kilifi epilepsy stigma score. Associations between socio-demographic factors and Kilifi epilepsy stigma score were assessed., Results: The median age of the study participants was 25 years, with median age (IQR) of epilepsy onset of 12 (6-18) years. The prevalence of high-perceived stigma was 31.9% (15/48). Seizure frequency was associated with high levels of perceived stigma (p-value of 0.038). Psychological abuse, rejections at home, places of employment and schools, poor relationships and intimacy and unmet engagements in social activities were cited as the perceived stigmatizing aspects among PLWE., Conclusion: In this Ugandan sample perceived stigma remains unacceptably high and interventions to address it are urgently needed in our settings., (© 2022 Kaddumukasa M et al.)

Objective: To develop a classifier that predicts reductions in depression severity in people with epilepsy after participation in an epilepsy self-management intervention., Methods: Ninety-three people with epilepsy from three epilepsy self-management randomized controlled trials from the Managing Epilepsy Well (MWE) Network integrated research database met the inclusion criteria. Supervised machine learning algorithms were utilized to develop prediction models for changes in self-reported depression symptom severity. Features considered by the machine learning classifiers include age, gender, race, ethnicity, education, study type, baseline quality of life, and baseline depression symptom severity. The models were trained and evaluated on their ability to predict clinically meaningful improvement (i.e., a reduction of greater than three points on the nine-item Patient Health Questionnaire (PHQ-9)) between baseline and follow-up (<=12 weeks) depression scores. Models tested were a Multilayer Perceptron (ML), Random Forest (RF), Support Vector Machine (SVM), Logistic Regression with Stochastic Gradient Descent (SGD), K-nearest Neighbors (KNN), and Gradient Boosting (GB). A separate, outside dataset of 41 people with epilepsy was used in a validation exercise to examine the top-performing model's generalizability and performance with external data., Results: All six classifiers performed better than our baseline mode classifier. Support Vector Machine had the best overall performance (average area under the curve [AUC] = 0.754, highest subpopulation AUC = 0.963). Our analysis of the SVM features revealed that higher baseline depression symptom severity, study type (i.e., intervention program goals), higher baseline quality of life, and race had the strongest influence on increasing the likelihood that a subject would experience a clinically meaningful improvement in depression scores. From the validation exercise, our top-performing SVM model performed similarly or better than the average SVM model with the outside dataset (average AUC = 0.887)., Significance: We trained an SVM classifier that offers novel insight into subject-specific features that are important for predicting a clinically meaningful improvement in subjective depression scores after enrollment in a self-management program. We provide evidence for machine learning to select subjects that may benefit most from a self-management program and indicate important factors that self-management programs should collect to develop improved digital tools., Competing Interests: Declaration of interests M.S. has received research grants from the following entities in the past 3 years: Nuromate, Otsuka, Alkermes, International Society for Bipolar Disorders (ISBD), National Institutes of Health (NIH), Centers for Disease Control and Prevention (CDC), and Patient-Centered Outcomes Research Institute (PCORI). She has consulted for: Alkermes, Otsuka, Janssen, Myriad, Health Analytics, and Frontline Medical Communications. She has royalties with: Springer Press, Johns Hopkins University Press, Oxford Press, and UpToDate. She also has CME activities in: American Physician’s Institute, MCM Education, CMEology, Potomac Center for Medical Education, Global Medical Education, Creative Educational Concepts, and Psychopharmacology Institute. B.C.J. has received research funding from the following entities: NIH, National Science Foundation, DARPA, Centers for Disease Control and Prevention, Neuropace, Inc., Harvard-Pilgrim, Inc., and the Diamond Foundation. She serves as Associate Editor for the journal Neurology. She also has received travel support for activities in her roles as Committee Chair and Vice Chair of the Council of Education of the American Epilepsy Society. All other authors have no conflicts of interest to report. We confirm that we have read the Journal’s position on issues involved in ethnical publication and affirm that this report is consistent with those guidelines., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Aims: Self-management for people with epilepsy and a history of negative health events (SMART) is a behavioral intervention that has been demonstrated to reduce epilepsy-related complications and improve physical and mental health functioning among people with epilepsy (PWE) [1]. The Community-SMART (C-SMART) initiative was a 4-month prospective implementation of feasibility and pre/post outcomes of SMART in a community setting and in collaboration with key epilepsy service stakeholders., Methods: Self-management for people with epilepsy and a history of negative health events is a group-format, entirely virtual intervention delivered in eight 60-90 sessions over the course of 8-10 weeks. The C-SMART initiative used research staff to guide intervention performance evaluation and staff of a regional epilepsy advocacy agency to assist with community engagement. Process evaluations included outreach and engagement efforts needed to reach PWE, the barriers and facilitators to roll-out, and participant retention and satisfaction. Outcomes included depressive symptoms and epilepsy self-management competency., Results: Thirty individuals were enrolled in 3 "cohorts" of approximately 10 PWE per cohort. Mean age of participants was 48.50 (standard deviation 16.15) years, 60% were female and 53.3% were African-American. Individuals had epilepsy, on average, for over 2 decades, were on approximately 2 prescribed antiepileptic drugs (AEDs) and had an average of just over 6 seizures in the last 30 days. Over 63% had a comorbid mental health condition. There were 23 individuals (76.7%) who were retained at the 4-month follow-up. Baseline to 4-month outcomes for depression and epilepsy self-management were significantly improved. Most (90%) of participants reported high levels of satisfaction with the program., Conclusions: The SMART epilepsy self-management program can be successfully implemented in partnership with epilepsy-focused community partners, is acceptable to participants and associated with improved outcomes. Future work might consider how to make virtual epilepsy self-management available to the full spectrum of PWE., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Objectives: To identify facilitators and barriers of epilepsy self-management practices among Black children and caregivers., Methods: Qualitative semi-structured in-depth interviews were conducted with 11 child-caregiver dyads (11 children with epilepsy and 11 caregivers). A deductive-inductive analysis was undertaken to describe the range of barriers and facilitators significant to participants., Results: The barriers and facilitators were classified into 3 management themes: epilepsy-specific knowledge and information, treatment, and lifestyle. Within these themes, several important subthemes were identified. Two subthemes related to knowledge barriers emerged: children and caregivers' limited understanding and retention of complex written and spoken information and variable training and confidence in seizure first-aid. In contrast, facilitators for introducing and encouraging access to epilepsy self-management concepts were participants' eagerness to learn about this topic and a keen interest in using educational materials enriched with visual aids on a phone platform as an adjunct to in-person education. The second theme revealed various practical barriers to optimum treatment adherence, including mistrust of the healthcare system. In comparison, caregivers' collaborative approach and innovative strategies were identified as facilitators for treatment adherence. Finally, the lifestyle management barriers included a lack of defined processes to adopt healthy behaviors and challenges with disclosing epilepsy. Facilitators of this theme were comprised of building a team around the child to foster wellbeing and making healthy habits a fun and joyful experience for children., Discussion: Qualitative evidence in this study highlights caregivers' mistrust in the healthcare system and the lack of community support. Culturally competent interventions may improve access to and quality and utilization of self-management programs in Black children and families while reducing disparities., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Objective: Examine the association between gaps in Medicaid coverage and negative health events (NHEs) for people with epilepsy (PWE)., Methods: Using five years of Medicaid claims for PWE, we identified gaps in Medicaid coverage. We used logistic regression to evaluate the association between a gap in coverage and being in the top quartile of NHEs and factors associated with having a gap. These models adjusted for: demographics, residence, medication adherence, disease severity, and comorbidities., Results: Of 186,616 PWE, 21.7% had a gap in coverage. The odds of being in the top quartile of NHEs per year were 66% higher among those with a gap (OR: 1.66; 95% CI: 1.61, 1.70). Being female, younger, and having psychiatric comorbidities increased the odds of having a gap., Conclusions: Gaps in Medicaid coverage are associated with being a high utilizer during covered periods. Specific groups could be targeted with interventions to reduce churning.

Background and Objectives: People with epilepsy, one-third of whom in the United States are on Medicaid, experience a wide range of chronic and physical comorbidities that influence their care and outcomes. In this study, we examine the burden and racial/ethnic disparities of chronic and acute conditions, injuries, and symptoms in a large and diverse group of people with epilepsy on Medicaid., Methods: Using 5 years of Medicaid claims data, we identified adults with epilepsy and used all available claims and diagnoses to identify each person's Clinical Classification Codes groups diagnosed during the study period. Using association rule mining, we identified the top combinations of conditions and stratified these by race/ethnicity to identify potential prevalence disparities. We examined the top combinations of conditions in high utilizers; that is, individuals in the top quartile of hospitalizations and emergency department visits., Results: Among 81,963 patients, the most common conditions were anxiety and mood disorders (46.5%), hypertension (36.9%), back problems (35.2%), developmental disorders (31.6%), and headache (29.5%). When examining combinations of conditions, anxiety and mood disorders continued to have an outsized prevalence, appearing in nearly every combination. There were notable disparities in disease burden, with American Indians and Alaskan Natives having a substantially higher prevalence of developmental disorders, while Black individuals had a higher prevalence of hypertension. These disparities persisted to the higher-order combinations that included these conditions. High utilizers had a much higher disease burden, with 75.8% having an anxiety or mood disorder, as well as a higher burden of injuries., Discussion: This study shows a high prevalence of psychiatric and physical conditions and identifies racial and ethnic disparities affecting people with epilepsy. Targeting interventions to consider the comorbidities, race, and ethnicity has potential to improve clinical care and reduce disparities., (© 2021 American Academy of Neurology.)

Objective: Although psychiatric disorders are more common among people with epilepsy, 2 depression and suicidal ideation among Hispanics with epilepsy remain understudied. We examined the prevalence and correlates of depression and suicidal ideation among Hispanic adults with epilepsy who participated in self-management studies in the Managing Epilepsy Well 3 Network., Methods: This cross-sectional analysis of pooled data from ten studies used the Patient Health Questionnaire-9 4 or Neurological Disease Depression Inventory-Epilepsy 5 to examine the prevalence of elevated depressive symptoms (PHQ ≥ 10, NDDI-E ≥ 15) and suicidal ideation (PHQ-9 item 9 ≥ 1, NDDI-E item 4 ≥ 2). Multilevel mixed-effects logistic regression models examined associations between ethnicity, elevated depressive symptoms, and suicidal ideation among PWE. Secondary analyses examined correlates of elevated depressive symptoms and suicidal ideation among Hispanic PWE., Results: Of 559 participants, 49.6% (n = 277) were Hispanic. Elevated depressive symptoms were endorsed by 38.1% (n = 213) of all participants (32.5% of Hispanics); suicidal ideation was endorsed by 18.4% (n = 103) of all participants (16.3% of Hispanics). After adjustment for sociodemographic and health attributes, Hispanic PWE had a 44% lower prevalence of elevated depressive symptoms (OR = 0.56, CI 0.37-0.84, p = 0.0056) compared to non-Hispanics but similar rates of suicidal ideation (OR = 0.84, CI 0.45-1.58, p = 0.59). Acculturation measures were available for 256 (92.4%) of Hispanic PWE: language preference was Spanish for 62.9%, 46.1% were foreign-born. Spanish-speaking Hispanics were less likely than English-speaking Hispanics to report elevated depressive symptoms (OR = 0.43, CI 0.19-0.97, p = 0.041); however, Hispanics who reported fair or poor health status had a four-fold higher depression prevalence compared to those who reported excellent or very good health status [reference group] (OR = 4.44, CI 1.50-13.18, p = 0.0071). Of the Hispanics who provided prior 30-day seizure data, ≥1 monthly seizure was independently associated with higher depression prevalence (OR = 3.11, CI 1.29-7.45, p = 0.01). Being foreign-born was not associated with elevated depressive symptoms or suicidal ideation prevalence., Conclusions: In a large, geographically diverse sample of PWE, elevated depressive symptoms were significantly lower in Hispanics compared to non-Hispanics. Spanish language preference was associated with a lower prevalence of elevated depressive symptoms among Hispanic PWE. Future studies should include acculturation data to better screen for depression and suicidal ideation risk and optimize interventions for Hispanic PWE., Competing Interests: Declaration of Competing Interest Susanna S. O’Kula, Farren B.S. Briggs, Brittany Brownrigg, Kaylee Sarna, Omar Rosales, Ross Shegog, Erica K. Johnson, Robert T. Fraser, Rakale Quarells, and Tanya M. Spruill have no conflicts of interest to disclose. Daniel Friedman receives salary support for consulting and clinical trial related activities performed on behalf of The Epilepsy Study Consortium, a non-profit organization. Dr. Friedman receives no personal income for these activities. NYU receives a fixed amount from the Epilepsy Study Consortium towards Dr. Friedman’s salary. Within the past two years, The Epilepsy Study Consortium received payments for research services performed by Dr. Friedman from: Biogen, Cerevel, Cerebral, Crossject, Engage Pharmaceuticals, Eisai, Lundbeck, Pfizer, SK Life Science, and Xenon. He has also served as a paid consultant for Neurelis Pharmaceuticals and Receptor Life Sciences. He has received research support from Epitel. He serves on the scientific advisory board for Receptor Life Sciences. He holds equity interests in Neuroview Technology. He received royalty income from Oxford University Press. Martha Sajatovic has served as a paid consultant for Alkermes, Otsuka, Janssen, Myriad, Health Analytics, Frontline Medical Communications. She collected royalties from Springer Press, Johns Hopkins University Press, Oxford Press, UpToDate. She has received compensation for preparation of CME activities from American Physician’s Institute, MCM Education, CMEology, Potomac Center for Medical Education, Global Medical Education, Creative Educational Concepts, Psychopharmacology Institute., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Monitoring primary care providers' (PCP) attitudes and experiences with referrals of their patients with new-onset seizures or existing epilepsy/seizure disorders may help evaluate whether interventions to coordinate PCP and neurology care reduce treatment gaps and improve patient outcomes. To examine PCPs' attitudes toward, and experiences with, referral to specialty care of their patients with new-onset seizures or existing epilepsy/seizure disorders, we used cross-sectional 2018 DocStyles data to examine study outcomes. We selected a subsample of respondents who had a practice with at least 1% of patients with an epilepsy/seizure disorder and who answered questions about this disorder. We stratified provider actions, referral behavior, and referral enabling factors and barriers by epilepsy/seizure disorder caseload and provider type. We examined different patterns of responses by referral behavior and provider type. The final sample (n = 1284) included 422 family practitioners, 432 internists, 233 pediatricians, and 197 nurse practitioners. Most PCPs refer their patients with new-onset seizures to a neurologist, particularly to determine or confirm the diagnosis and appropriate treatment. Strikingly, about 40% of PCPs did not indicate a referral if their epilepsy/seizure disorder patient was unresponsive to treatment. Internists less likely referred their patients than pediatricians, nurse practitioners, or family practitioners. Less than one-third of all practitioners consulted seizure treatment guidelines. Prompt appointments, communication with the PCP, the patient's insurance, and referral back to primary care may facilitate referrals. Interventions that enhance enabling factors for guidelines-based care and that can increase opportunities for PCPs to consult with neurologists and/or refer their patients with uncontrolled seizures to specialty care are warranted., (Published by Elsevier Inc.)

Background: Many people living with epilepsy (PLWE) reside in rural communities, and epilepsy self-management may help address some of the gaps in epilepsy care for these communities. A prior randomized control trial of a remotely delivered, Web-based group format 12-week self-management program (SMART) conducted in Northeast Ohio, a primarily urban and suburban community, demonstrated improved outcomes in negative health events such as depression symptoms and quality of life. However, there is a paucity of research addressing the needs of PLWE in rural settings., Methods: The present study leverages collaboration between investigators from 2 mid-western US states (Ohio and Iowa) to replicate testing of the SMART intervention and prioritize delivery to PLWE in rural and semi-rural communities. In phase 1, investigators will refine the SMART program using input from community stakeholders. A Community Advisory Board will then be convened to help identify barriers to trial implementation and strategies to overcome barriers. In phase 2, the investigators will conduct a 6-month prospective randomized control trial of the SMART program compared to 6-month waitlist controls, with the primary outcome being changes in negative health events defined as seizure, self-harm attempt, emergency department visit, or hospitalization. Additional outcomes of interest include quality of life and physical and mental health functioning. The study will also assess process measures of program adopters and system end-users to inform future outreach, education, and self-management strategies for PLWE., Discussion: The method of this study employs lived experience of PLWE and those who provide care for PLWE in rural and underserved populations to refine a remotely delivered Web-based self-management program, to improve recruitment and retention, and to deliver the intervention. Pragmatic outcomes important to PLWE, payers, and policymakers will be assessed. This study will provide valuable insights on implementing future successful self-management programs., Trial Registration: ClinicalTrials.gov NCT04705441 . Registered on January 12, 2021., (© 2021. The Author(s).)

Background: Epilepsy is a leading cause of global disease burden, with people with epilepsy (PWE) experiencing adverse health outcomes related to the psychiatric comorbidities and socioeconomic consequences of the disorder. Rural populations are more likely to be impoverished or uninsured, which could impact health outcomes for rural-dwelling PWE (RPWE)., Aims: This systematic literature review identified original research studying health disparities and outcomes among RPWE in the United States and Canada to (1) characterize the disparities faced by RPWE and (2) elucidate the effects of these disparities upon clinical outcomes., Methods: We performed a systematic search of six electronic databases: Pubmed, Cochrane, PsychInfo, Web of Science, Scopus, and Ovid. Articles considered were original research reports conducted in Canada or the United States before August 2020. A modified Newcastle Ottawa Scale was used to assess the quality of the included studies., Results: Our search returned 2093 articles that examined the health disparities of RPWE, of which six met criteria for this review. Outcome measures of health disparity included in these papers were mortality (2; 33%), use of health resources (2; 33%), and epilepsy prevalence (2; 33%). Only one paper (16%) concluded that RPWE experienced worse health outcomes relative to urban-dwelling PWE, while 5 (84%) found no difference., Conclusion: Our study did not find sufficient evidence that RPWE in the US and Canada experience significant health disparities compared to similar urban populations of PWE. More research using prospective studies and datasets allowing better characterization of rurality is required., Competing Interests: Declaration of Competing Interest Dr. Sajatovic has received research grants from Otsuka, Alkermes, Janssen, Reuter Foundation, Woodruff Foundation, Reinberger Foundation, National Institutes of Health (NIH), Centers for Disease Control and Prevention (CDC) and International Society of Bipolar Disorders in the past 3 years; is a consultant for Bracket, Otsuka, Sunovion, Neurocrine, Supernus and Health Analytics; has received royalties from Springer Press, Johns Hopkins University Press, Oxford Press and UpToDate; and has participated in CME activities with American Physician’s Institute, MCM Education, CMEology, Potomac Center for Medical Education, Global Medical Education and Creative Educational Concepts. All other authors have nothing to disclose., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Background: Epilepsy is a common neurological condition characterized by poor quality of life and associated stigma. Studies in long-term health conditions suggest that self-management interventions improve the quality of life (QoL) and reduce the perceived stigma among people with epilepsy (PWE). Yet, the utilization of these interventions remains low in sub-Saharan Africa., Objectives: We investigated the feasibility, acceptability, and preliminary efficacy of an adopted novel self-management intervention, Self-management for people with epilepsy and a history of negative health events (SMART) among PWE in Uganda., Design: A two-year, uncontrolled, prospective pilot study in Ugandans with epilepsy was conducted., Participants: Adults aged ≥ 18 years with epilepsy attending a neurology outpatient clinic were enrolled., Intervention: Using a nurse led and peer educator interactions; nine self-management approach sessions (1 individual session and 8 group sessions) were conducted., Main Outcome Measures: The primary outcome was QoL, perceived stigma and depression in PWE at 24-month follow-up using the Quality Of Life In Epilepsy 31 (QOLIE-31) scale and perceived stigma using the Kilifi stigma score and Neurological disorders depression index for epilepsy (NDDI-E)., Results: There were 17 individuals and their caregivers who were enrolled into this study with a mean age of 23.47 (SD = 5.3) years. The study intervention was feasible and acceptable within our settings. Overall, quality of life, stigma level, depression, and seizure frequency in the past 30 days were significantly improved from the baseline scores before the intervention with p-values of <0.0001, <0.0001, 0.004, and <0.0001, respectively., Significance: The SMART intervention engages individuals to actively participate in self-management, and can help reduce depressive symptom severity in PWE. Given the high morbidity and mortality associated with epilepsy, additional research is needed to better identify how SMART might be implemented in routine care settings., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Background: For newly diagnosed people with epilepsy (PWE), proper treatment is important to improve outcomes, yet limited data exist on markers of quality care., Objective: Examine markers of quality care for newly diagnosed PWE., Methods: Using Medicaid claims data (2010-2014) for 15 states we identified adults 18-64 years of age diagnosed with incident epilepsy in 2012 or 2013. We built 5 sequential logistic regression models to evaluate: (1) seeing a neurologist; (2) diagnostic evaluation; (3) antiepileptic medication adherence; (4) serum drug levels checked; and (5) being in the top quartile of number of negative health events (NHEs). We adjusted for demographics, comorbidities, county-level factors, and the outcomes from all prior models., Results: Of 25,663 PWE, 37.3% saw a neurologist, with decreased odds for those of older age, those residing in counties with low-density of neurologists, and certain race/ethnicities; about 57% of PWE received at least 1 diagnostic test; and nearly 62% of PWE were adherent to their medication. The most common comorbidities were hypertension (37.1%) and psychoses (26.9%). PWE with comorbidities had higher odds of seeing a neurologist and to have NHEs. Substance use disorders were negatively associated with medication adherence and positively associated with high NHEs., Conclusions: There are notable differences in demographics among people with incident epilepsy who do or do not see a neurologist. Differences in NHEs persist, even after controlling for neurologist care and diagnostic evaluation. Continued attention to these disparities and comorbidities is needed in the evaluation of newly diagnosed PWE., Competing Interests: The authors declare no conflict of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

A growing body of research supports self-management approaches that can improve outcomes in people living with epilepsy (PLWE). An evidence-based remotely delivered self-management program (SMART) that was successfully delivered in an urban/suburban setting has the potential to be particularly helpful to PLWE who live in rural communities, where heavy stigma burden and limited access to healthcare is common. In this Phase 1 exploratory study, focus groups of key rural stakeholders (PLWE, family members, care providers) were used to: (1) gather information on factors that may impede or facilitate participation in SMART and (2) elicit overall perceptions of the program, as well as suggestions and feedback for refining it for implementation in Phase 2 of the randomized controlled study (RCT). Qualitative data analysis revealed that focus group participants identified geographic and social isolation, and the more limited access to epilepsy care, as the major barriers to epilepsy self-management for rural populations. However, they felt strongly that SMART could fill an epilepsy care gap in rural communities, and provided suggestions for recruitment and retention strategies of subjects, as well as improvement/modifications to the program curriculum for the Phase 2 RCT., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Objective: In epilepsy, patients who receive appropriate care receive treatment that differs substantially from those that do not. Given the need for a more detailed assessment of the role of specialty referral in the care of patients with epilepsy, this systematic literature review identified epilepsy care guidelines and recommendations that specifically address when and why people with epilepsy should be referred to specialty care., Methods: This study identified recent (in the last 10 years) publications that made best-practice recommendations for referring people with epilepsy to a neurologist or epileptologist. We searched six databases in December 2018: MEDLINE (PubMed), Cochrane Library, ProQuest, Web of Science, CINAHL (Ebsco), Scopus (Elsevier). Search terms included "Epilepsy" OR "Seizures," "Guideline" OR "Practice Parameter," and "Referral.", Results: The 15 full-text articles identified included formal guidelines, summaries of these guidelines, or professional commentary that builds upon existing guidelines. Most of these publications came from the U.K and its National Institute for Health and Care Excellence. Overall, the included recommendations for referral varied considerably both for new-onset and refractory epilepsy. Although these recommendations were not consistent, it is reasonable to refer patients following the failure of 2 anti-seizure medication (ASM) trials., Significance: Guidelines and informal recommendations are not consistent regarding best practices for specialty care referral for patients with epilepsy. These guidelines and recommendations should consider the context of care in real-world settings and suggest pragmatic approaches that optimize seizure control and functioning., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Epilepsy self-management (ESM) is the summative set of behaviors that people with epilepsy use to cope with seizures and optimize health. This report describes the implementation and evolution of the Managing Epilepsy Well Network Database (MEW DB), an integrated data resource intended to advance knowledge on ESM. The MEW DB utilizes a three-tiered (Tier 1-3) system of data organization, with tiers of data generally increasing in ascending complexity or collection burden. A MEW DB Steering Committee (SC) establishes consensus on planned analyses using a standardized new analysis request template. The data management structure facilitates harmonization and integration of additional data, or to update the database as new data become available. The current MEW DB comprises 1,563 people with epilepsy. Mean age was 39.9 years, 64.9% women (N = 1006), 12.8% African American (N = 170), 22.2% Hispanic (N = 306). On average, individuals have lived with epilepsy since their early 20s and are prescribed between 1 and 2 antiepileptic drugs. The MEW DB spans multiple socio-ecological levels to provide a robust multi-tiered framework for studying ESM. A total of 41 common data elements have been identified through iterative consensus. This integrated database takes advantage of an extensive collective background of archival evidence in ESM and brings together engaged investigators to build a dataset that represents diverse types of individuals with epilepsy, targets health domains important to ESM, and facilitates analyses that would not be possible with sites operating independently. Overall, the MEW DB serves the greater mission of this research collaborative and has potential to advance ESM research., Competing Interests: Declaration of Competing Interests Dr. Sajatovic has research grants from Otsuka, Alkermes, Nuromate, the International Society of Bipolar Disorders (ISBD), National Institute of Health (NIH), and the Centers for Disease Control and Prevention (CDC). Dr. Sajatovic is a consultant to Alkermes, Otsuka, Janssen, Neurocrine, Bracket, Health Analytics and Frontline Medical Communications and has received publication royalties from Springer Press, Johns Hopkins University Press, Oxford Press, UpToDate. Dr. Jobst is Associate Editor of Neurology and Co-director of the HOBSCOTCH Institute. Dr. Jobst also has research funding from Neuropace, Inc, Harvard Pilgrim Inc., the U.S. National Institutes of Health (NIH), the U.S. Centers for Disease Control and Prevention (CDC), and U.S. National Science Foundation (NSF). The other authors have no commercial interests to declare., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Objective: To identify disparities in care pathways and time from first seizure to epilepsy diagnosis, we examined 2010-2014 Medicaid claims (including pharmacy) data from 16 States for individuals with incident epilepsy., Methods: We identified adults (18-64) with an incident epilepsy diagnosis from 1/2012 through 6/2014. These individuals were enrolled in Medicaid for the entire study period and had no history of anti-epileptic drug (AED) use before their first seizure claim. We identified care pathways and calculated the duration from initial seizure to epilepsy diagnosis. We tested associations between these pathways and race/ethnicity, as well as time differences between care pathways using a Chi-squared and Kruskal-Wallis tests., Results: The 14,337 adults followed five different care pathways. Their overall median duration from first seizure code to epilepsy diagnosis code was 19.0 months (interquartile range: 4.6, 30.4), and 56.0% filled an AED prescription. Some minorities were more likely to follow pathways with increased durations and delay to diagnosis, and the duration to diagnosis varied significantly across the care pathways., Significance: The many different care pathways seen in people with epilepsy show substantial and significant time delays between first seizure diagnosis and epilepsy diagnosis, including significant racial/ethnic disparities that warrant attention., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Significance: Health literacy, the ability to understand necessary health information to make proper health decisions, has been linked to greater frequency of hospitalizations. However, there is limited literature on the associations between health literacy and outcomes in patients with epilepsy, and thus, this secondary analysis investigates the associations between health literacy and outcomes in patients with epilepsy enrolled in the self-management intervention "Self-management for people with epilepsy and a history of negative events" (SMART). We examined the associations between higher health literacy and higher education level and outcomes of the SMART trial., Methods: This is a secondary analysis of data from the SMART self-management intervention, where individuals were randomized to the SMART intervention or a 6-month waitlist (WL) control. Health literacy was assessed at baseline before randomization using the Rapid Estimate of Adult Literacy in Medicine (REALM-R). Education level was self-reported by participants at baseline. Pearson correlations between REALM-R scores and continuous demographic and clinical variables were conducted. Point-biserial Pearson correlations were computed for REALM-R and dichotomous variables. The effect of education on change in negative health events (NHEs) counts from baseline to six months was conducted using a linear regression. A logistic regression with health literacy and randomization arm as predictors and improvement in NHE (1 = improvement, 0 = no change or increased NHEs at 6 months) as the outcome was conducted., Results: Lower education and lower income were significantly correlated with lower health literacy (p < 0.001 and p = 0.03). Higher education level was associated with a greater improvement in 6-month seizure counts (r s (105) = 0.29, p = 0.002), and a greater improvement in total 6-month NHEs (r s (95) = 0.20, p = 0.045). Health literacy was not associated with change in NHEs or with study retention., Conclusions: The SMART intervention appears effective for individuals regardless of health literacy competency. Nevertheless, individuals with higher levels of education have fewer epilepsy complications, and thus, those with limited education may still require additional support while participating in epilepsy self-management programs., Competing Interests: Declaration of competing interest The author has no conflict of interest., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Background: People with epilepsy frequently experience negative health events (NHEs), such as emergency room visits or hospitalizations for epilepsy-related complications despite significant advances in care. We developed a novel remotely delivered group-format epilepsy self-management program ("Self-management for people with epilepsy and a history of negative health events"; SMART). In a 6-month randomized controlled trial (RCT), SMART participants had significant decreases in NHEs, as well changes in attitudes and behaviors compared to a wait-list (Sajatovic et al., 2018). This secondary analysis from the RCT characterizes the indirect causal effects of SMART on NHE improvements that may be mediated by specific improvements in self-management, self-efficacy, social support, quality of life, and depression symptom severity., Methods: Participants were adults with epilepsy and a NHE in the prior 6 months. There were 60 participants in each RCT arm (SMART versus wait-list) and assessments were conducted at baseline, 10 weeks and 24 weeks. The outcome was a binary variable measuring NHE improvement at week 24. A counterfactual-based mediation framework was used to determine whether improvements or changes in attitudes and behaviors at specific time points or across the study period, mediated the impact of SMART on NHE improvements., Results: At week 24, SMART contributed to significant improvements in NHEs compared to those in wait-list (odds ratio = 3.2, p = 0.015). SMART was significantly associated with improvements and changes in aspects of self-management, self-efficacy, quality of life, and depression symptom severity at week 10, and significant improvements between baseline and week 24 in overall self-management and quality of life. Mediation analyses demonstrated that a portion of the effect (∼20-30 %; p < 0.05) of SMART on NHE improvement was also indirectly mediated by early improvements in depression symptom severity and quality of life., Conclusions: This mediation analysis of the SMART intervention demonstrates that in addition to its direct effect on improving NHEs in people with epilepsy, early improvements in depression symptom severity and quality of life indirectly mediated ∼20-30 % of the intervention's effect. These results demonstrate the promise of self-management approaches as a key component of an optimal healthcare model for people with epilepsy, particularly those with a recent history of NHEs., Competing Interests: Declaration of Competing Interest Dr. Sajatovic has research grants from Otsuka, Alkermes, Merck, Janssen, Reuter Foundation, Woodruff Foundation, Reinberger Foundation, National Institute of Health (NIH), and the Centers for Disease Control and Prevention (CDC). Dr. Sajatovic is a consultant to Bracket, Otsuka, Supernus, Neurocrine, Health Analytics and Sunovion and has received royalties from Springer Press, Johns Hopkins University Press, Oxford Press, and UpToDate., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Self-management techniques that assist patients with chronic conditions, such as epilepsy, diabetes, and arthritis, play an important role in managing and caring for their conditions. The US Center for Disease Control and Prevention (CDC)-funded Managing Epilepsy Well (MEW) Network consists of 11 study sites across the US that aims to develop and disseminate self-management techniques for epilepsy patients. Epilepsy affects more than 65 million patients worldwide with serious negative impact on their own as well as their family member's quality of life. Taking advantage of advances in biomedical informatics, the MEW Network has created an integrated database (MEW DB) using a common data model and two tiers of study variables. The MEW DB consists of 1680 patient data records covering a wide range of patient population nationwide. Therefore, there is growing interest in the use of the MEW DB for different cohort query analysis. To address the challenges in: (1) selecting appropriate MEW research studies based on inclusion/exclusion criteria; (2) creating a patient cohort for given research hypothesis; and (3) performing appropriate statistical tests; we have developed an integrated data query and statistical analysis informatics tool called Insight. The Insight platform features an intuitive user interface to support the three phases of study selection, patient cohort creation, and statistical testing with the use of an epilepsy domain ontology to support ontology-driven query expansion. We evaluate the Insight platform using two user evaluation methods of "first click testing" and "user satisfaction survey". In addition, we performed a time performance test of the Insight platform using four patient datasets and three statistical test. The results of the user evaluation show that Insight platform is strongly approved by the users and the results of the time performance show that there is marginal difference in performance as the volume of patient data increases in the MEW DB., (©2019 AMIA - All rights reserved.)

Rationale: Cognitive impairment is one of the most common complaints for persons with epilepsy (PWE). These impairments are not only associated with seizures, but are also regularly reported as adverse effects of antiepileptic drugs (AEDs). Previous studies have examined cognitive effects of both AED monotherapy and polytherapy, yet there is limited research on these differences with respect to both subjective and objective cognition. The current study uses data from previous research conducted by the Centers for Disease Control and Prevention (CDC)-sponsored Managing Epilepsy Well (MEW) Network collaborative. We used three distinct archival datasets from the following: (1) the HOBSCOTCH efficacy trial at Dartmouth-Hitchcock Medical Center (HOB-1), (2) the multisite replication trial (HOB-2), and (3) epilepsy self-management research conducted at the NYU School of Medicine., Methods: This retrospective analysis combined baseline data from three datasets to determine how the number of AEDs and the type of AEDs were associated with subjective (patient-reported) and objective (examiner-assessed) cognition. Subjective cognition was captured using the cognitive subscale of the Quality of Life in Epilepsy Inventory (QOLIE-31) in all three datasets (n = 224), while objective cognition was measured using the Repeated Battery for the Assessment of Neuropsychological Status (RBANS) in the HOB-1 dataset (n = 65) and the Brief Test of Adult Cognition by Telephone (BTACT) in the HOB-2 dataset (n = 91). Multivariable linear regression was utilized for our initial assessments, followed by propensity score matching to provide stronger control of covariates. Matching was based on significantly different covariates, such as education, depression, and history of prior epilepsy surgery. Nonparametric statistical tests were utilized to compare these matched subjects., Results: Subjective cognitive impairment was significantly worse among individuals on polytherapy (2 + AEDs) compared with those on monotherapy (1 AED) (adjusted p  =  0.041). These findings were consistent with our propensity score matched comparison of monotherapy and polytherapy, which indicated that polytherapy was associated with worse overall subjective cognition (adjusted p = 0.01), in addition to impairments on the RBANS (Total score p = 0.05) and specific subdomains of the BTACT (Episodic Verbal Memory p < 0.01, Working Memory p < 0.01, Processing Speed p < 0.01). Interestingly, older generation AEDs were associated with better language performance than newer generation and combined generation AED therapy (RBANS Language p = 0.03). These language-specific findings remained significant after controlling for the effects of topiramate and zonisamide (p = 0.04)., Conclusions: A greater number of AEDs is significantly and negatively associated with subjective and objective cognition in PWE, and is in line with previous research. Antiepileptic drug type did not, in itself, appear to be associated with subjective cognition. Our findings suggest that ineffective AEDs should be replaced, rather than introducing additional AEDs to a treatment regimen. Further, while subjective and objective cognition assessments were both sensitive at detecting differences based on AED status, the neuropsychological objective subdomains offer additional and specific insights into how cognition is impaired with AEDs., Competing Interests: Declaration of competing interest On behalf of all the authors, the corresponding author states that there is no conflict of interest., (Copyright © 2020 Elsevier Inc. All rights reserved.)

People with epilepsy (PWE) may experience negative health events (NHEs) such as seizures, emergency room visits, and hospitalizations, with ethnic and racial minorities disproportionately affected. Epilepsy self-management may reduce NHEs; however, few reports examine self-management outcomes in racial minorities. Using data from a longitudinal 6-month randomized controlled trial (RCT) of 120 PWE, this analysis compared African-American and Whites at baseline, 10 weeks and 24 weeks after receiving the "Self-management for people with epilepsy (SMART) and a history of NHEs" self-management program. The primary RCT outcome was number of NHEs. At baseline, compared to Whites, African-Americans had less education (p = 0.02) and greater depressive severity (p = 0.04). Both African-American and Whites generally improved with SMART, and there were no racial differences in NHE counts or other outcomes' responses. Given known racial disparities in epilepsy care, it may be particularly important to reach out to minority PWE with self-management programs., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Objective: To assess depressive symptom outcomes in a pooled sample of epilepsy self-management randomized controlled trials (RCTs) from the Managing Epilepsy Well (MEW) Network integrated research database (MEW DB)., Methods: Five prospective RCTs involving 453 adults with epilepsy compared self-management intervention (n = 232) versus treatment as usual or wait-list control outcomes (n = 221). Depression was assessed with the nine-item Patient Health Questionnaire. Other variables included age, gender, race, ethnicity, education, income, marital status, seizure frequency, and quality of life. Follow-up assessments were collapsed into a visit 2 and a visit 3; these were conducted postbaseline., Results: Mean age was 43.5 years (SD = 12.6), nearly two-thirds were women, and nearly one-third were African American. Baseline sample characteristics were mostly similar in the self-management intervention group versus controls. At follow-up, the self-management group had a significantly greater reduction in depression compared to controls at visit 2 (P < .0001) and visit 3 (P = .0002). Quality of life also significantly improved in the self-management group at visit 2 (P = .001) and visit 3 (P = .005)., Significance: Aggregate MEW DB analysis of five RCTs found depressive symptom severity and quality of life significantly improved in individuals randomized to self-management intervention versus controls. Evidence-based epilepsy self-management programs should be made more broadly available in neurology practices., (Wiley Periodicals, Inc. © 2019 International League Against Epilepsy.)

Background: Epilepsy is a common neurological disease with substantial impact on the subject and their caretakers. This exploratory study identified barriers to care for persons living with epilepsy (PLWE) to develop a culturally acceptable nurse led self-management intervention for PLWE previously developed in the United States., Methods: The study involving 48 participants (31 PLWE and 17 caregivers) with in depth interviews and focus groups was conducted. We obtained insights into barriers to care in PLWE and their caregivers. Using a thematic analytic procedure emphasizing the dominant themes the qualitative responses were analyzed. Median age of PLWE was 24 years (IQR 19-30), and10 (52.6%) were male. The median age of epilepsy onset was 12 years (IQR 6-18), range of 1-37 years. The median age of caregivers was 50 years (IQR 45-50.5), with a range of 18-78 years. Seventy five percent of caregivers (6/8) were females., Results: Three major areas of perceived barriers involving individual, family or community and provider and healthcare system barriers to epilepsy care emerged. Individual factors like limited epilepsy knowledge and medication non-adherence were reported to be key barriers to epilepsy care. Caregiver burden and lack of family support as well as poor health care access were identified from the family and health care systems., Conclusions: The main barrier to epilepsy care is limited epilepsy knowledge in PLWE and their caregivers. Improving epilepsy care awareness and knowledge within communities and appropriate health care provider service for epilepsy would help reduce epilepsy barriers and improve care.

Objective: "Self-management for people with epilepsy and a history of negative health events" (SMART) is a novel group-format epilepsy self-management intervention demonstrated to reduce negative health events (NHEs) such as accidents, emergency department visits, and seizures in adults with epilepsy in a 6-month prospective randomized controlled trial (RCT); SMART also reduced depressive symptoms and improved health functioning and quality of life. This report describes the longer-term (12-month) post-efficacy RCT outcomes in adults with epilepsy who received SMART., Methods: After completing a 6-month, prospective RCT that demonstrated efficacy of SMART vs 6-month waitlist control (WL), adults ≥18 years of age with epilepsy were followed for an additional 12 months. Individuals originally randomized to WL received the 8-week SMART intervention immediately following the conclusion of the RCT. For this long-term extension analysis, assessments were conducted at 24 weeks (the 6-month primary outcome time-point of the efficacy RCT), at 32 weeks for individuals originally randomized to WL, and at 48 weeks and 72 weeks for all individuals. Outcomes assessed included past 6-month NHE counts, depressive symptoms assessed with the 9-item Patient Health Questionnaire (PHQ-9) and Montgomery-Asberg Depression Rating Scale (MADRS), and quality of life assessed with the 10-item Quality of Life in Epilepsy (QOLIE-10)., Results: At the beginning of this long-term observational period (24-week follow-up time point for the original RCT), there were 50 individuals in the group originally randomized to SMART and 52 originally randomized to WL. Mean age was 41.4 years, 70% women (N = 71), 64% (N = 65) African-American, and 8% Hispanic (N = 8). Study attrition from week 24 to week 72 was 8% in the arm originally randomized to SMART and 17% in the arm originally randomized to WL. During the 12-month observation period (24 weeks to 72 weeks), there were a total of 44 serious adverse events and 4 deaths, none related to study participation. There was no significant change in total past 6-month NHE counts in the group originally randomized to SMART, although the group had significantly reduced 6-month seizure counts. The group originally randomized to WL, who received SMART during this observational period, had a reduction in total NHE counts. The group originally randomized to SMART had relatively stable levels on other outcome variables except for a trend for improved MADRS (p = 0.08). In the group originally randomized to WL, there were significant improvements in PHQ-9 (p = 0.01), MADRS (p ≤ 0.01), and QOLIE-10 (p = 0.004)., Conclusions: This post-RCT extension study suggests that adults with epilepsy who participate in the SMART intervention sustain clinical effects at 1-year follow-up and may have incremental improvements in seizure frequency and mood. Future research needs to identify opportunities for scale-up and outreach to other high-risk groups with epilepsy., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Rationale: There is a paucity of information about the association of seizure severity and quality of life (QoL) in people living with epilepsy (PLWE) in sub-Saharan Africa. We evaluated the relationship between seizure severity and health-related quality of life (HRQoL) of patients with epilepsy being followed up in an outpatient neurology clinic in urban central Uganda., Methods: Forty-eight PLWE who met the study inclusion criteria were enrolled. The study questionnaire was comprised of the Chalfont Seizure Severity Scale (CSSS) and the Quality of Life Inventory in Epilepsy (QOLIE-31). Spearman's rank correlation coefficient was used to determine the association between seizure severity and QoL score., Results: The median age of the study participants was 25 years, with median age (interquartile range (IQR)) of epilepsy onset of 12 (6-18) years. Over 57.4% of the study participants were unemployed. The mean (standard deviation (SD)) of QOLIE-31 and Seizure Severity Score was 62.5 (14.5) and 62.4 (1.6), respectively. There was no gender difference in the seizure severity scores (p = 0.451). An inverse relationship existed between seizure severity and the total QOLIE-31 score (Spearman's rank correlation coefficient, r = -0.48, p = 0.001), and seizure worry (r = -0.31, p = 0.030)., Conclusions: In this Ugandan sample, seizure severity is unacceptably high and directly impacts the life of PLWE. Interventions that reduce seizure severity are urgently needed in our settings to reduce seizures and improve the QoL in PLWE., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Depression and worse quality of life (QOL) are significantly associated with epilepsy. However, limited descriptive data on depression and quality of life among African Americans with epilepsy are available. This study sought to describe the prevalence of depression among African Americans with epilepsy participating in self-management studies and to examine the relationship between depression and QOL. Using data from the Managing Epilepsy Well (MEW) research network, a subgroup of African Americans with epilepsy were selected for the analytic sample. Descriptive statistics indicated the prevalence of depression (Patient Health Questionnaire-9 [PHQ-9]) and reports of epilepsy-specific QOL (Quality of Life in Epilepsy-10 [QOLIE-10]) in the sample. Multiple linear regression examined the relationship between depression and QOL while controlling for sociodemographic characteristics and seizure frequency. The prevalence of depression (PHQ-9 ≥; 10) was 47.7%. Quality of life was the only variable significantly associated with depressive symptoms in multivariable analyses, suggesting that depressive symptoms have a stronger relationship with QOL than seizure frequency. With the high levels of depression and the significant relationship with QOL, regular screening of depression is needed among African Americans with epilepsy. Self-management programs that improve mood may also play an important role in improving the lives of African Americans with epilepsy., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Identifying relationships between depression severity and clinical factors may help with appropriate recognition and management of neuropsychiatric conditions in persons with epilepsy (PWE). Demographic characteristics, epilepsy variables, and medical and psychiatric comorbidities were examined from a baseline randomized controlled trial sample of 120 PWE. Among demographic characteristics, only inability to work was significantly associated with depression severity (p = 0.05). Higher 30-day seizure frequency (p < 0.01) and lower quality of life (p < 0.0001) were associated with greater depression severity. Comorbid bipolar disorder (p = 0.02), panic disorder (p < 0.01), and obsessive-compulsive disorder (p < 0.01) were correlated with worse depression severity. The literature supports our findings of correlations between worse depression, seizure frequency, and lower quality of life. Less well studied is our finding of greater depression severity and selected psychiatric comorbidities in PWE.

Aims: Comorbid mental health conditions (MHCs) such as depression and anxiety are common in people with epilepsy. Targeted Self-Management for Epilepsy and Mental Illness (TIME) is a behavioral program that targets mood symptoms in adults with epilepsy and comorbid MHCs. Building upon positive findings of a randomized controlled study to establish the efficacy of TIME, the Community-TIME (C-TIME) initiative assessed the implementation feasibility and pre-/post-outcomes of this new evidence-based epilepsy self-management intervention in a community setting and in collaboration with key stakeholders., Methods: The C-TIME program is a group-format curriculum-based intervention delivered in ten 60-90 sessions over the course of 12 weeks. The C-TIME initiative used research staff to guide intervention performance evaluation, staff of a regional epilepsy advocacy agency to assist with community engagement and a county mental health services agency to support the transition from science to service. Process evaluations included outreach and engagement efforts needed to reach people with epilepsy and MHCs, the barriers and facilitators to roll out, and the participants' retention and satisfaction. The primary intervention participant outcome was depressive symptom severity at 4-month follow-up., Results: Referrals came from a variety of sources and approximately 1 in 3 referrals resulted in an enrollment. Thirty individuals were enrolled in 3 "cohorts" of 10. The most common reason for not being enrolled postscreening was that individuals did not show up for the baseline evaluation. Mean age of participants was 49.1 (12.8) years, 50% (N = 15) female, 55.2% (N = 16) white, 34.5% (N = 10) African-American. With respect to participation, 2/3 of the enrolled sample attended at least 7 out of the maximum 10 C-TIME sessions. Mean number of C-TIME sessions attended was 6.9 (4.1). Five participants (17%) had family members attend the C-TIME sessions, although family members were encouraged to play a supportive rather than primary role. Four-month follow-up outcome evaluation was available for 66% of the enrolled group. There was a significant reduction in depression severity, and patient satisfaction was over 90%., Conclusions: The C-TIME program can be successfully implemented in the community and is associated with improved outcomes in adults with epilepsy and comorbid MHCs. Continued and broader scale-up of C-TIME and similar approaches could reach larger groups of adults with epilepsy and improve the health of our communities., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Depression is a common comorbidity in people with epilepsy (PWE) that negatively affects self-management and a variety of health outcomes. Suicidal ideation is also more common among PWE than the general population. We examined correlates of depressive symptoms and suicidal ideation in adults using pooled data from epilepsy self-management studies conducted by sites in the Centers for Disease Control and Prevention (CDC) Research Center's Managing Epilepsy Well (MEW) Network that assessed depression severity with the 9-item Patient Health Questionnaire (PHQ-9). Of the 770 subjects in the analysis (mean age 42.4 ± 13.0 years), the mean total PHQ-9 score was 9.4 ± 6.6 and 334 subjects (43.4%) had moderate to severe depressive symptoms (PHQ-9 ≥ 10). Only ongoing seizures and low education were associated with moderate-severe depressive symptoms in multiple logistic regression analysis. Suicidality (PHQ-9, item 9 score ≥ 1) was endorsed by 155 subjects (20.1%). Only nonsuicidal depressive symptoms were associated with suicidality in multiple variable logistic regression analysis. We show in this large and regionally diverse dataset that both depression and suicidal ideation are common among PWE enrolled in self-management studies. Future studies are needed to examine whether suicidality exists independently of other depressive symptoms in some populations with epilepsy and investigate other correlates of suicidality that may inform screening practices., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Objective: Despite advances in care, many people with epilepsy have negative health events (NHEs) such as accidents, emergency department visits, and poor quality of life. "Self-management for people with epilepsy and a history of negative health events" (SMART) is a novel group format epilepsy self-management intervention. A community participatory approach informed the refinement of SMART, which was then tested in a 6-month randomized controlled trial of SMART (n = 60) versus waitlist control (WL, n = 60)., Methods: Participants were adults aged ≥18 years with epilepsy and an NHE within the past 6 months (seizure, accident, self-harm attempt, emergency department visit, or hospitalization). Assessments were conducted at screening, baseline, 10 weeks, and 24 weeks (6 months). Primary outcome was 6-month change in total NHE count. Additional outcomes included depression on the nine-item Patient Health Questionnaire and Montgomery-Asberg Depression Rating Scale, quality of life on the 10-item Quality of Life in Epilepsy, functioning on the 36-item Short-Form Health Survey, and seizure severity on the Liverpool Seizure Severity Scale., Results: Mean age was 41.3 years (SD = 11.82), 69.9% were African American, 74.2% were unemployed, and 87.4% had an annual income < US$25 000; 57.5% had a seizure within 30 days of enrollment. Most NHEs were seizures. Six-month study attrition was 14.2% overall and similar between arms. Individuals randomized to SMART had greater reduction in total median NHEs from baseline to 6 months compared to WL (P = 0.04). SMART was also associated with improved nine-item Patient Health Questionnaire (P = 0.032), Montgomery-Asberg Depression Rating Scale (P = 0.002), 10-item Quality of Life in Epilepsy (P < 0.001), and 36-item Short-Form Health Survey (P = 0.015 physical health, P = 0.003 mental health) versus WL. There was no difference in seizure severity., Significance: SMART is associated with reduced health complications and improved mood, quality of life, and health functioning in high-risk people with epilepsy. Additional efforts are needed to investigate potential for scale-up., (Wiley Periodicals, Inc. © 2018 International League Against Epilepsy.)

While self-management (S-M) skills of people living with epilepsy (PWE) are increasingly recognized as important for daily functioning and quality of life, there is limited information on overall skill levels, specific areas needing improvement, or associated correlates. The purpose of this study was to provide evidence on the S-M skills of PWE and identify the demographic and clinical correlates that could be used in targeting interventions. Data were derived from the Managing Epilepsy Well (MEW) research network database containing epilepsy S-M data on 436 PWE participating in five studies conducted recently throughout the U.S. Common data elements included sociodemographics, clinical condition, and S-M behaviors covering five domains. Descriptive statistics and multivariate regression analyses found significant variation in total and domain-specific S-M skill levels and the associated characteristics of individuals. The findings from this national sample were remarkably consistent across sites and with existing theory and prior empirical studies indicating that competencies in information and lifestyle management were significantly lower than medication, safety, and seizure management. Self-management behavior levels were higher for females and those with less education, but lower in those with depression and lower quality of life. There were no significant differences by age, race/ethnicity, marital status, or seizure frequency after adjusting for other characteristics., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Objective: This systematic review identified papers that described epilepsy misconceptions or stigma in sub-Saharan Africa (SSA) and research interventions focused on reducing these misconceptions., Materials and Methods: Publications in the English language from January 2000 to October 2017 that described original research conducted in SSA on misconceptions about epilepsy were utilized., Results: Twenty-three publications were identified. Studies were from Nigeria (N = 4), Cameroon (N = 4), Uganda (N = 3), Zambia (N = 2), Ethiopia (N = 2), Tanzania (N = 2), Kenya (N = 2), Ghana, Zimbabwe, Benin, and Mali (N = 1 each). The studies included assessments of misconceptions among healthcare providers and medical students (N = 3), high school students (N = 2), teachers (N = 2), the general public (N = 10), people with epilepsy (N = 7), and traditional healers (N = 1). Only two studies had stigma-focused interventions. Majority of the studies reported limitations to socialization with people with epilepsy and various beliefs associated with epilepsy., Conclusions: Epilepsy misconceptions, stigmatizing cultural beliefs, and perceptions were widely prevalent in SSA, and there are a few studies targeting epilepsy stigma. Existing stigma-reduction educational approaches may be impractical for general population implementation. Scalable approaches to reduce stigma are urgently needed within SSA., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Rationale: Up to 30-50% of individuals with epilepsy have depressive symptoms, which often complicate seizure management and reduce overall quality of life. To identify and manage depressive symptoms appropriately, clinicians need standardized instruments that can accurately identify and monitor those with clinically significant depression. The self-reported 9-item Patient Health Questionnaire (PHQ-9) has been used relatively widely to screen and monitor depression in epilepsy. The rater-administered Montgomery-Asberg Depression Rating Scale (MADRS) is a rater-administered instrument widely used in depression treatment trials but less widely applied in epilepsy. This secondary analysis from 2 epilepsy self-management clinical trials compared depression severity ratings using the PHQ-9 and the MADRS instruments., Methods: Data for this analysis were derived from pooled baseline and longitudinal data from 2 prospective epilepsy self-management randomized controlled trials (RCTs). Both RCTs assessed depression with the PHQ-9 and the MADRS. For this analysis, total depression severity scores and case classification of individuals with no/minimal, mild, moderate/moderately severe, and severe depression were assessed using both PHQ-9 and MADRS., Results: The sample contained 164 individuals with epilepsy. Demographic and clinical variables between the 2 studies were generally similar. There were 107 women (64.8%), 106 African-Americans (64.2%), and 51 Whites (30.9%). Individuals had epilepsy for an average of 22.1 (SD: 15.5). Mean past 30-day seizure frequency at baseline was 3.1 (SD: 11.6). Baseline mean PHQ-9 was 10.7 (SD: 6.80) with depression severity of 32 (19.6%) not or minimally depressed, 47 (28.8%) mildly depressed, 37 (22.7%) moderately depressed, 27 (16.6%) moderately severely depressed, and 20 (12.3%) severely depressed. Baseline mean MADRS severity was 18.5 (SD: 11.3) with 30 (18.8%) not or minimally depressed, 27 (16.9%) mildly depressed, 92 (56.1%) moderately depressed, and 11 (6.9%) severely depressed. The correlation between total PHQ-9 and total MADRS was 0.843 (p < .01) although case classification by depression severity varied somewhat between the two instruments., Conclusions: Standardized measures to evaluate depression severity in people with epilepsy can help identify cases and monitor treatment. The PHQ-9 and MADRS both perform well in assessing depression in people with epilepsy although administration burden is less with PHQ-9 thus making it likely preferable for settings where time and epilepsy specialty resources are limited., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Aims: In spite of advances in care, people with epilepsy experience negative health events (NHEs), such as seizures, emergency department (ED) visits, and hospitalizations. Being able to identify characteristics that are associated with NHE risk can help inform care approaches that reduce complications and burden. This analysis using baseline data from a larger randomized epilepsy self-management clinical trial assessed the relationship between demographic and clinical variables vs. seizure-related complications among people with epilepsy., Methods: Data were derived from a baseline sample of a larger prospective study of 120 individuals with epilepsy who experienced an NHE within the last 6months. Demographic characteristics, depression assessed with the 9-item Patient Health Questionnaire (PHQ-9) and the Montgomery-Asberg Depression rating scale (MADRS), quality of life assessed with the 10-item Quality of Life in Epilepsy Inventory (QOLIE-10), self-efficacy assessed the Epilepsy Self-Efficacy Scale (ESES), social support assessed with the Multidimensional Scale of Perceived Social Support (MSPSS), self-management assessed with the Epilepsy Self-Management Scale (ESMS), and stigma assessed with the Epilepsy Stigma Scale (ESS) were all examined in association with past 6-month NHE frequency and 30-day seizure frequency., Results: Except for lower levels of education and lower levels of income being associated with higher 30-day and 6-month seizure frequency, demographic variables were generally not significantly associated with NHEs. Higher 30-day seizure frequency was associated with greater depression severity on PHQ-9 (p<0.01) and MADRS (p<0.01). Higher 6-month seizure frequency was also associated with greater depression severity on PHQ-9 (p<.001) and MADRS (p=0.03). Both 30-day and 6-month seizure frequency were significantly negatively associated with QOLIE-10 (p<0.001). Both 30day (p=0.01) and 6-month (p=0.03) seizure frequency were associated with worse stigma on ESS. Total NHE count was associated with more severe depression on PHQ-9 (p=0.02), and MADRS (p=0.04), worse quality of life on QOLIE-10 (p<0.01), and more stigma on ESS (p=0.03)., Conclusions: Consistent with previous literature, more frequent seizures were associated with worse depression severity and quality of life. A finding that is less established is that higher seizure frequency is also associated with worse epilepsy-related stigma. Epilepsy self-management approaches need to address depression and stigma as well as seizure control., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Objective: Epilepsy is a common neurological condition that is often associated with stigmatizing attitudes and negative stereotypes among the general public. This randomized controlled trial (RCT) tested two new communication approaches targeting epilepsy stigma versus an education-alone approach., Methods: Two brief stigma-reduction videos were developed, informed by community stakeholder input; one highlighted role competency in people with epilepsy; the other highlighted social inclusion of people with epilepsy. A control video was also developed. A Web-based survey using a prospective RCT design compared effects of experimental videos and control on acceptability, perceived impact, epilepsy knowledge, and epilepsy stigma. Epilepsy knowledge and stigma were measured with the Epilepsy Knowledge Questionnaire (EKQ) and Attitudes and Beliefs about Living with Epilepsy (ABLE), respectively., Results: A total of 295 participants completed the study. Mean age was 23.1 (standard deviation = 3.27) years; 59.0% were male, and 71.4% were white. Overall, respondents felt videos impacted their epilepsy attitudes. EKQ scores were similar across videos, with a trend for higher knowledge in experimental videos versus control (p = 0.06). The role competency and control videos were associated with slightly better perceived impact on attitudes. There were no differences between videos on ABLE scores (p = 0.568). There were subgroup differences suggesting that men, younger individuals, whites, and those with personal epilepsy experience had more stigmatizing attitudes., Significance: This RCT tested communication strategies to improve knowledge and attitudes about epilepsy. Although this initial effort will require follow-up, we have demonstrated the acceptability, feasibility, and potential of novel communication strategies to target epilepsy stigma, and a Web-based approach for assessing them., (Wiley Periodicals, Inc. © 2017 International League Against Epilepsy.)

Objectives This exploratory study identifies barriers and facilitators to self-management to inform future epilepsy self-management interventions for persons who have epilepsy complicated by co-morbid mental health conditions and serious medical events. Methods Focus group methods were used in a series of community advisory board meetings. Analysis was conducted using a thematic, constant comparative approach aiming to describe the range of barriers and facilitators salient to participants. There were a total of 22 participants, including 8 health professionals, 9 patients with epilepsy, and 5 care partners. Mean age was 49.1 (SD = 11.0, range 32-69), 11 (50%) were female, and 11 (50%) were male. For those with epilepsy, mean years having epilepsy was 24.7 (SD = 19.9, range 1-58 years). Results Individual psychological barriers (mental illness, fatigue, and psychological distress) prominently interfered with health behaviors. Community and family barriers included stigma, lack of epilepsy knowledge, and poor social support. Facilitators included planning for seizures, learning about medications, stress management, socializing with others, and talking with other epilepsy patients. Discussion Qualitative evidence in this study suggests a linkage between social integration and positive health behaviors. Future efforts to embed patients with epilepsy and their caregivers into clinical care processes could offset barriers and enhance facilitators.

Rationale: Epilepsy is a chronic neurological condition that causes substantial burden on patients and families. Quality of life may be reduced due to the stress of coping with epilepsy. For nearly a decade, the Centers for Disease Control (CDC) Prevention Research Center's Managing Epilepsy Well (MEW) Network has been conducting research on epilepsy self-management to address research and practice gaps. Studies have been conducted by independent centers across the U.S. Recently, the MEW Network sites, collaboratively, began compiling an integrated database to facilitate aggregate secondary analysis of completed and ongoing studies. In this preliminary analysis, correlates of quality of life in people with epilepsy (PWE) were analyzed from pooled baseline data from the MEW Network., Methods: For this analysis, data originated from 6 epilepsy studies conducted across 4 research sites and comprised 459 PWE. Descriptive comparisons assessed common data elements that included gender, age, ethnicity, race, education, employment, income, seizure frequency, quality of life, and depression. Standardized rating scales were used for quality of life (QOLIE-10) and for depression (Patient Health Questionnaire, PHQ-9)., Results: While not all datasets included all common data elements, baseline descriptive analysis found a mean age of 42 (SD 13.22), 289 women (63.0%), 59 African Americans (13.7%), and 58 Hispanics (18.5%). Most, 422 (92.8%), completed at least high school, while 169 (61.7%) were unmarried, divorced/separated, or widowed. Median 30-day seizure frequency was 0.71 (range 0-308). Depression at baseline was common, with a mean PHQ-9 score of 8.32 (SD 6.04); 69 (29.0%) had depression in the mild range (PHQ-9 score 5-9) and 92 (38.7%) had depression in the moderate to severe range (PHQ-9 score >9). Lower baseline quality of life was associated with greater depressive severity (p<.001), more frequent seizures (p<.04) and lower income (p<.05)., Conclusions: The MEW Network Integrated Database offers a unique opportunity for secondary analysis of data from multiple community-based epilepsy research studies. While findings must be tempered by potential sample bias, i.e. a relative under-representation of men and relatively small sample of some racial/ethnic subgroups, results of analyses derived from this first integrated epilepsy self-management database have potential to be useful to the field. Associations between depression severity and lower QOL in PWE are consistent with previous studies derived from clinical samples. Self-management efforts that focus on mental health comorbidity and seizure control may be one way to address modifiable factors that affect quality of life in PWE., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Objectives: Serious mental illness is disproportionately common in people with epilepsy and contributes to complications and mortality. Few care approaches specifically target individuals who have epilepsy and severe mental illness. We used an iterative process to refine an existing intervention and tested the novel intervention, Targeted Self-Management for Epilepsy and Mental Illness (TIME) in individuals with epilepsy and comorbid mental illness (E-MI)., Methods: The TIME intervention was developed with input from a community advisory board and then tested for feasibility, acceptability, and preliminary efficacy in people with E-MI, using a 16-week prospective, randomized controlled design comparing TIME (N=22) vs. treatment as usual (TAU, N=22). Primary outcome was change in depressive symptoms, assessed by the Montgomery Asberg Depression Rating Scale (MADRS). Secondary assessments included global psychiatric symptom severity, seizure frequency, sleep patterns, quality of life, stigma, social support, and self-efficacy., Results: There were 44 individuals enrolled, mean age 48.25 (SD=11.82) with 25 (56.8%) African-Americans. The majority (N=31, 70.5%) were unemployed, and most (N=41, 95.5%) had annual income

We present Insight as an integrated database and analysis platform for epilepsy self-management research as part of the national Managing Epilepsy Well Network. Insight is the only available informatics platform for accessing and analyzing integrated data from multiple epilepsy self-management research studies with several new data management features and user-friendly functionalities. The features of Insight include, (1) use of Common Data Elements defined by members of the research community and an epilepsy domain ontology for data integration and querying, (2) visualization tools to support real time exploration of data distribution across research studies, and (3) an interactive visual query interface for provenance-enabled research cohort identification. The Insight platform contains data from five completed epilepsy self-management research studies covering various categories of data, including depression, quality of life, seizure frequency, and socioeconomic information. The data represents over 400 participants with 7552 data points. The Insight data exploration and cohort identification query interface has been developed using Ruby on Rails Web technology and open source Web Ontology Language Application Programming Interface to support ontology-based reasoning. We have developed an efficient ontology management module that automatically updates the ontology mappings each time a new version of the Epilepsy and Seizure Ontology is released. The Insight platform features a Role-based Access Control module to authenticate and effectively manage user access to different research studies. User access to Insight is managed by the Managing Epilepsy Well Network database steering committee consisting of representatives of all current collaborating centers of the Managing Epilepsy Well Network. New research studies are being continuously added to the Insight database and the size as well as the unique coverage of the dataset allows investigators to conduct aggregate data analysis that will inform the next generation of epilepsy self-management studies., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)