The international league against epilepsy primary healthcare educational curriculum: Assessment of educational needs.

OBJECTIVE: To assess the need for an epilepsy educational curriculum for primary healthcare providers formulated by the International League Against Epilepsy (ILAE) and the importance attributed to its competencies by epilepsy specialists and primary care providers and across country-income settings. METHODS: The ILAE primary care epilepsy curriculum was translated to five languages. A structured questionnaire assessing the importance of its 26 curricular competencies was posted online and publicized widely to an international community. Respondents included epilepsy specialists, primary care providers, and others from three World Bank country-income categories. Responses from different groups were compared with univariate and ordinal logistic regression analyses. RESULTS: Of 785 respondents, 60% noted that a primary care epilepsy curriculum did not exist or they were unaware of one in their country. Median ranks of importance for all competencies were high (very important to extremely important) in the entire sample and across different groups. Fewer primary care providers than specialists rated the following competencies as extremely important: definition of epilepsy (p = .03), recognition of seizure mimics (p = .02), interpretation of test results for epilepsy care (p = .001), identification of drug-resistant epilepsy (0.005) and management of psychiatric comorbidities (0.05). Likewise, fewer respondents from LMICs in comparison to UMICs rated 15 competencies as extremely important. SIGNIFICANCE: The survey underscores the unmet need for an epilepsy curriculum in primary care and the relevance of its competencies across different vocational and socioeconomic settings. Differences across vocational and country income groups indicate that educational packages should be developed and adapted to needs in different settings.

Global synergistic actions to improve brain health for human development.

The global burden of neurological disorders is substantial and increasing, especially in low-resource settings. The current increased global interest in brain health and its impact on population wellbeing and economic growth, highlighted in the World Health Organization's new Intersectoral Global Action Plan on Epilepsy and other Neurological Disorders 2022-2031, presents an opportunity to rethink the delivery of neurological services. In this Perspective, we highlight the global burden of neurological disorders and propose pragmatic solutions to enhance neurological health, with an emphasis on building global synergies and fostering a 'neurological revolution' across four key pillars - surveillance, prevention, acute care and rehabilitation - termed the neurological quadrangle. Innovative strategies for achieving this transformation include the recognition and promotion of holistic, spiritual and planetary health. These strategies can be deployed through co-design and co-implementation to create equitable and inclusive access to services for the promotion, protection and recovery of neurological health in all human populations across the life course.

The memory assessment clinics scale for epilepsy (MAC-E): A brief measure of subjective cognitive complaints in epilepsy.

Objective: The aim of this study was to conduct item reduction of the Memory Assessment Clinics Self-Rating Scale (MAC-S) to create a briefer measure that can be used to quickly evaluate subjective memory complaints in patients with epilepsy. Method: A total of 1333 adults with focal epilepsy completed the original 49-item MAC-S. The sample was randomly split into three subsamples, and a series of analyses (i.e. exploratory factor analysis, confirmatory factor analysis, and item response theory analyses) was conducted to identify an alternative factor structure, with a reduced number of items. A panel of 5 neuropsychologists independently reviewed the final model to assess appropriateness of each individual item as well as the factor loadings and overall factor structure. Final factor titles were subsequently decided as a group. Results: Five factors were identified: Attention, Working Memory, Retrieval, Semantic Memory, and Episodic Memory. The length of the MAC-S was reduced from 49 to 30 items, with items being removed because they failed to load onto any of the factors substantially, or because of poor item discrimination or threshold levels. Conclusions: The Memory Assessment Clinics Scale for Epilepsy (MAC-E), is an updated, brief measure of subjective memory functioning that can be used to efficiently assess relevant, every-day memory abilities in patients with epilepsy within both clinical and research settings.

Repeated measures discriminant analysis using multivariate generalized estimation equations.

Discriminant analysis procedures that assume parsimonious covariance and/or means structures have been proposed for distinguishing between two or more populations in multivariate repeated measures designs. However, these procedures rely on the assumptions of multivariate normality which is not tenable in multivariate repeated measures designs which are characterized by binary, ordinal, or mixed types of response distributions. This study investigates the accuracy of repeated measures discriminant analysis (RMDA) based on the multivariate generalized estimating equations (GEE) framework for classification in multivariate repeated measures designs with the same or different types of responses repeatedly measured over time. Monte Carlo methods were used to compare the accuracy of RMDA procedures based on GEE, and RMDA based on maximum likelihood estimators (MLE) under diverse simulation conditions, which included number of repeated measure occasions, number of responses, sample size, correlation structures, and type of response distribution. RMDA based on GEE exhibited higher average classification accuracy than RMDA based on MLE especially in multivariate non-normal distributions. Three repeatedly measured responses namely severity of epilepsy, current number of anti-epileptic drugs, and parent-reported quality of life in children with epilepsy were used to demonstrate the application of these procedures.

Epilepsy care during the COVID-19 pandemic.

The coronavirus disease 2019 (COVID-19) pandemic has affected the care of all patients around the world. The International League Against Epilepsy (ILAE) COVID-19 and Telemedicine Task Forces examined, through surveys to people with epilepsy (PWE), caregivers, and health care professionals, how the pandemic has affected the well-being, care, and services for PWE. The ILAE included a link on their website whereby PWE and/or their caregivers could fill out a survey (in 11 languages) about the impact of the COVID-19 pandemic, including access to health services and impact on mental health, including the 6-item Kessler Psychological Distress Scale. An anonymous link was also provided whereby health care providers could report cases of new-onset seizures or an exacerbation of seizures in the context of COVID-19. Finally, a separate questionnaire aimed at exploring the utilization of telehealth by health care professionals since the pandemic began was available on the ILAE website and also disseminated to its members. Seventeen case reports were received; data were limited and therefore no firm conclusions could be drawn. Of 590 respondents to the well-being survey (422 PWE, 166 caregivers), 22.8% PWE and 27.5% caregivers reported an increase in seizure frequency, with difficulty in accessing medication and health care professionals reported as barriers to care. Of all respondents, 57.1% PWE and 21.5% caregivers had severe psychological distress (k score >13), which was significantly higher among PWE than caregivers (p<0.01). An increase in telemedicine use during the COVID-19 pandemic was reported by health care professionals, with 40% of consultations conducted by this method. Although 74.9% of health care providers thought that this impacted positively, barriers to care were also identified. As we move forward, there is a need to ensure ongoing support and care for PWE to prevent a parallel pandemic of unmet health care needs.

Importance of access to epilepsy monitoring units during the COVID-19 pandemic: Consensus statement of the International League against epilepsy and the International Federation of Clinical Neurophysiology.

Restructuring of healthcare services during the COVID-19 pandemic has led to lockdown of Epilepsy Monitoring Units (EMUs) in many hospitals. The ad-hoc taskforce of the International League Against Epilepsy (ILAE) and the International Federation of Clinical Neurophysiology (IFCN) highlights the detrimental effect of postponing video-EEG monitoring of patients with epilepsy and other paroxysmal events. The taskforce calls for action to continue functioning of Epilepsy Monitoring Units during emergency situations, such as the COVID-19 pandemic. Long-term video-EEG monitoring is an essential diagnostic service. Access to video-EEG monitoring of the patients in the EMUs must be given high priority. Patients should be screened for COVID-19, before admission, according to the local regulations. Local policies for COVID-19 infection control should be adhered to during the video-EEG monitoring. In cases of differential diagnosis where reduction of antiseizure medication is not required, consider home video-EEG monitoring as an alternative in selected patients.

Importance of access to epilepsy monitoring units during the COVID-19 pandemic: consensus statement of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology.

Restructuring of healthcare services during the COVID-19 pandemic has led to lockdown of epilepsy monitoring units (EMUs) in many hospitals. The ad-hoc taskforce of the International League Against Epilepsy (ILAE) and the International Federation of Clinical Neurophysiology (IFCN) highlights the detrimental effect of postponing video-EEG monitoring of patients with epilepsy and other paroxysmal events. The taskforce calls for action for continued functioning of EMUs during emergency situations, such as the COVID-19 pandemic. Long-term video-EEG monitoring is an essential diagnostic service. Access to video-EEG monitoring of the patients in the EMUs must be given high priority. Patients should be screened for COVID-19, before admission, according to the local regulations. Local policies for COVID-19 infection control should be adhered to during the video-EEG monitoring. In cases of differential diagnosis in which reduction of antiseizure medication is not required, home video-EEG monitoring should be considered as an alternative in selected patients.

Big data in epilepsy: Clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy.

Epilepsy is a heterogeneous condition with disparate etiologies and phenotypic and genotypic characteristics. Clinical and research aspects are accordingly varied, ranging from epidemiological to molecular, spanning clinical trials and outcomes, gene and drug discovery, imaging, electroencephalography, pathology, epilepsy surgery, digital technologies, and numerous others. Epilepsy data are collected in the terabytes and petabytes, pushing the limits of current capabilities. Modern computing firepower and advances in machine and deep learning, pioneered in other diseases, open up exciting possibilities for epilepsy too. However, without carefully designed approaches to acquiring, standardizing, curating, and making available such data, there is a risk of failure. Thus, careful construction of relevant ontologies, with intimate stakeholder inputs, provides the requisite scaffolding for more ambitious big data undertakings, such as an epilepsy data commons. In this review, we assess the clinical and research epilepsy landscapes in the big data arena, current challenges, and future directions, and make the case for a systematic approach to epilepsy big data.

A longitudinal cohort study on the impact of the clobazam shortage on patients with epilepsy.

OBJECTIVE: Drug shortages are occurring at an increasing rate. From May to October 2016, there was a shortage of a level I critical antiepileptic drug, clobazam. We aimed to study the impact of this shortage on patients with epilepsy. METHODS: Adult patients from Calgary's Comprehensive Epilepsy Program who were taking clobazam were approached to participate in the study. Baseline data from the clinic prospective registry included clinical variables and presurvey patient-reported outcomes (PROs) such as the Global Assessment of Severity of Epilepsy, the Global Assessment of Disability Associated with Seizures, and the Quality of Life in Epilepsy questionnaire. We used a mixed-methods cross-sectional questionnaire via telephone. We analyzed quantitative data using descriptive methods and qualitative data using a phenomenological approach. RESULTS: Of the 85 eligible patients, 84% (n = 71) agreed to participate. Participants ranged from 18 to 78 years old, and 59.2% of participants were female. Overall, 80% of participants experienced some form of medication change due to the shortage. No significant differences were found in the pre- and during-shortage PRO data. However, 6 important themes emerged regarding the impact of the antiepileptic drug shortage on patients: (1) communication and awareness, (2) burden on patients and caregivers, (3) physical impact, (4) psychological impact, (5) health care provider assistance in navigating the shortage, and (6) policy change. SIGNIFICANCE: We examined the impact of the clobazam shortage on patients with epilepsy from the patient's perspective and identified 6 important themes. As a result, we were able to gain insight into what patients need to cope with drug shortages and make recommendations that can help mitigate the impact of shortages on patients in the future. Further research is needed to better understand drug shortages from the patient's perspective in various settings and conditions.

Response shift in parents' assessment of health-related quality of life of children with new-onset epilepsy.

OBJECTIVE: Diagnosis of epilepsy is known to impact health-related quality of life (HRQOL) of children with new-onset epilepsy and can also influence their conceptualization and valuation of HRQOL construct, also known as response shift. This study investigates the presence of response shift in a cohort of children with new-onset epilepsy. METHODS: Data are from the HEalth-Related QUality of Life in children with Epilepsy Study, a prospective cohort study of 373 children with new-onset epilepsy. Hypotheses about the presence of reconceptualization, reprioritization, and recalibration response shift were tested in the Quality of Life in Childhood Epilepsy (QOLCE-55) Questionnaire, a parent-reported, disease-specific HRQOL measure, using Oort's structural equation model between baseline and 1-year follow-up. Model fit was assessed using log-likelihood ratio test, root mean square error of approximation, and comparative fit index. RESULTS: Small positive uniform recalibration response shift effects were observed on physical, emotional, and social functioning domains of the QOLCE-55, but negligibly small negative nonuniform recalibration response shift effect was observed on social functioning domain. There was no significant change in overall QOLCE-55 scores over time after adjusting for response shift effects. SIGNIFICANCE: Parents of children with new-onset epilepsy are likely to positively recalibrate (upward bias) their assessments of their children's HRQOL over a 1-year period after diagnosis. This study highlights the potential benefits of response shift as a desired consequence in parents' perception of changes in HRQOL of children with new-onset epilepsy.

A systematic review of clinical decision rules for epilepsy.

Clinical decision rules (CDRs) have been empirically demonstrated to improve patient satisfaction and enhance cost-effective care. The use of CDRs has not yet been robustly explored for epilepsy. We performed a systematic review of MEDLINE (from 1946) and Embase (from 1947) using Medical Subject Headings and keywords related to CDRs and epilepsy. We included original research of any language deriving, validating, or implementing a CDR using standardized definitions. Study quality was determined using a modified version of previously published criteria. A bivariate model was used to meta-analyze studies undergoing sequential derivation and validation studies. Of 2445 unique articles, 5 were determined to be relevant to this review. Three were derivation studies (three diagnostic and one therapeutic), one validation study, and one combined derivation and validation study. No implementation studies were identified. Study quality varied but was primarily of a moderate level. Two CDRs were validated and, thus, able to be meta-analyzed. Although initial measures of accuracy were high (sensitivity ~80% or above), they tended to diminish significantly in the validation studies. The pooled estimates of sensitivity and specificity both exhibited wide 95% confidence and prediction intervals that may limit their utility in routine practice. Despite the advances in therapeutic and diagnostic interventions for epilepsy, few CDRs have been developed to guide their use. Future CDRs should address common clinical scenarios such as efficient use of diagnostic tools and optimal clinical treatment decisions. Given their potential for advancing efficient, evidence-based, patient-centered healthcare, CDR development should be a priority in epilepsy.

Transforming Healthcare Delivery: Integrating Dynamic Simulation Modelling and Big Data in Health Economics and Outcomes Research.

In the era of the Information Age and personalized medicine, healthcare delivery systems need to be efficient and patient-centred. The health system must be responsive to individual patient choices and preferences about their care, while considering the system consequences. While dynamic simulation modelling (DSM) and big data share characteristics, they present distinct and complementary value in healthcare. Big data and DSM are synergistic-big data offer support to enhance the application of dynamic models, but DSM also can greatly enhance the value conferred by big data. Big data can inform patient-centred care with its high velocity, volume, and variety (the three Vs) over traditional data analytics; however, big data are not sufficient to extract meaningful insights to inform approaches to improve healthcare delivery. DSM can serve as a natural bridge between the wealth of evidence offered by big data and informed decision making as a means of faster, deeper, more consistent learning from that evidence. We discuss the synergies between big data and DSM, practical considerations and challenges, and how integrating big data and DSM can be useful to decision makers to address complex, systemic health economics and outcomes questions and to transform healthcare delivery.

Global assessment of the severity of epilepsy (GASE) Scale in children: Validity, reliability, responsiveness.

OBJECTIVE: The Global Assessment of Severity of Epilepsy (GASE) Scale is a single-item, 7-point global rating scale designed for neurologist-report of overall severity of epilepsy in children. Building on previous preliminary evidence of its validity and reliability for research and clinical use, this study evaluated the GASE Scale's construct validity, reliability, and responsiveness to changes in severity of epilepsy. METHODS: Data used for the study arose from the Health-Related Quality of Life in Children with Epilepsy Study (HERQULES), a 2-year multicenter prospective cohort study (n = 374) with observations taken at baseline, and 6, 12, and 24 months after diagnosis. Construct validity and reliability were quantified using Spearman's correlation and intraclass correlation coefficient (ICC). Responsiveness was assessed using both distribution-based and anchor-based indices. RESULTS: The GASE Scale was at least moderately correlated (r ≥ 0.30) with several key clinical aspects and most strongly correlated with frequency and intensity of seizures and interference of epilepsy or drugs with daily activities (r > 0.30). Total variation in GASE Scale scores explained by seven core clinical aspects of epilepsy increased over time (R(2) = 28% at baseline to R(2) = 70% at 24 months). The GASE Scale had modest test-retest reliability (ICC range: 0.52-0.64) and was responsive to changes in clinical criteria (standardized response mean range: 0.49-0.68; probability of change range: 0.69-0.75; Guyatt's responsiveness statistic range: 0.56-0.84). The GASE Scale showed potential to discriminate "stable" and "changed" patients according to select criteria and to a composite score (area under the receiver operating characteristic [ROC] curve range: 0.50-0.67). SIGNIFICANCE: Results offer additional evidence in support of the GASE Scale's validity, reliability, as well as responsiveness to changes in severity of epilepsy in children. We conclude that the GASE Scale is a potentially useful tool for assessing the severity of epilepsy in both clinical and research settings.

Development of new treatment approaches for epilepsy: unmet needs and opportunities.

A working group was created to address clinical "gaps to care" as well as opportunities for development of new treatment approaches for epilepsy. The working group primarily comprised clinicians, trialists, and pharmacologists. The group identified a need for better animal models for both efficacy and tolerability, and noted that animal models for potential disease-modifying or antiepileptogenic effect should mirror conditions in human trials. For antiseizure drugs (ASDs), current animal models have not been validated with respect to their relationship to efficacy in common epilepsy syndromes. The group performed an "expert opinion" survey of perceived efficacy of the available ASDs, and identified a specific unmet need for ASDs to treat tonic-atonic and myoclonic seizures. No correlation has as yet been demonstrated between animal models of tolerability and adverse effects (AEs), versus tolerability in humans. There is a clear opportunity for improved therapies in relation to dose-related AEs. The group identified common and rare epilepsy syndromes that could represent opportunities for clinical trials. They identified opportunities for antiepileptogenic (AEG) therapies in both adults and children, acknowledging that the presence of a biomarker would substantially improve the chances of a successful trial. However, the group acknowledged that disease-modifying therapies (given after the first seizure or after the development of epilepsy) would be easier to study than AEG therapies.

Epilepsy biomarkers.

A biomarker is defined as an objectively measured characteristic of a normal or pathologic biologic process. Identification and proper validation of biomarkers of epileptogenesis (the development of epilepsy) and ictogenesis (the propensity to generate spontaneous seizures) might predict the development of an epilepsy condition; identify the presence and severity of tissue capable of generating spontaneous seizures; measure progression after the condition is established; and determine pharmacoresistance. Such biomarkers could be used to create animal models for more cost-effective screening of potential antiepileptogenic and antiseizure drugs and devices, and to reduce the cost of clinical trials by enriching the trial population, and acting as surrogate markers to shorten trial duration. The objectives of the biomarker subgroup for the London Workshop were to define approaches for identifying possible biomarkers for these purposes. Research to identify reliable biomarkers may also reveal underlying mechanisms that could serve as therapeutic targets for the development of new antiepileptogenic and antiseizure compounds.

Using a standardized assessment tool to measure patient experience on a seizure monitoring unit compared to a general neurology unit.

Seizure monitoring unit (SMU) research typically focuses on diagnostic utility and medical management of epilepsy. However, patient safety and satisfaction are also imperative to high-quality SMU care. This study uses a standardized tool to evaluate patient experience on a SMU compared to a general neurology unit (GNU). The 27-item Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey was telephone-administered post-discharge to a sample of patients from our SMU and GNU. Data from a 33-month period were reviewed, encompassing 217 SMU patient admissions and 317 GNU patient admissions. On average, SMU patients were 14.7 years younger and stayed in the hospital 4.2 days longer than GNU patients. SMU patients provided lower overall mental health ratings (p<.001), perceived nursing staff to be more responsive to the call button (p<.001), and assigned higher overall ratings to their stay (p<0.05). Lower education was associated with more favorable hospital ratings on both units (p<0.05).

Epilepsy surgery utilization: who, when, where, and why?

PURPOSE OF REVIEW: Using the most recent evidence, we provide an update on epilepsy surgery, focusing on its effectiveness, reasons for underutilization, considerations of candidacy and timing for referral for epilepsy surgery evaluation. RECENT FINDINGS: The course of illness of epilepsy is being characterized. Well conducted studies describe the patterns of seizure remission and relapse with medical therapy and also in response to epilepsy surgery. Epilepsy surgery is highly effective in selected patients with drug-resistant epilepsy (DRE). The risk-benefit of epilepsy surgery is well known and consistent around the world. However, epilepsy surgery remains underutilized. A randomized controlled trial and Clinical Practice Guidelines (CPGs) supporting epilepsy surgery have had no discernible impact on referral rates for epilepsy surgery evaluation. Criteria and guidelines are being developed for identifying patients who need to be referred for epilepsy surgery evaluation. Quality indicators for epilepsy care now also include the need to consider surgical candidacy every 3 years in DRE. New developments in imaging and neurophysiology promise to help clinicians identify and treat patients more accurately. SUMMARY: Surgery is effective but underused. Comprehensive interventions to translate evidence to practice in epilepsy surgery are urgently needed.

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

PURPOSE: (1) To determine whether health resource utilization (HRU) and unmet health care needs differ for individuals with epilepsy compared to the general population or to those with another chronic condition (asthma, diabetes, migraine); and (2) to assess the association among epilepsy status, sociodemographic variables and HRU. METHODS: Data on HRU were assessed using the 2001-2005 Canadian Community Health Surveys, a nationally representative population-based survey. Weighted estimates of association were produced as adjusted odds ratio with 95% confidence intervals, and logistic regression was used to explore the association between sociodemographic variables and HRU in those with epilepsy. All data on disease status, HRU, and unmet health care needs were self-reported. KEY FINDINGS: Individuals with epilepsy had the highest rate of hospitalizations and the highest mean number of consultations with physicians. Despite higher rates of consultation with psychologists and social workers compared to the general population, those with epilepsy were significantly more likely to say they had unmet mental health care needs. People with epilepsy were also less likely to use dental services compared to the general population. Epilepsy was a significant predictor of HRU in logistic regression models. SIGNIFICANCE: Given the prevalence of psychiatric comorbidities in those with epilepsy, it is concerning that this group perceives unmet mental health care needs. It is also troublesome that there was decreased utilization of dental health care resources in those with epilepsy considering that these patients are more likely to have poor oral health. Although individuals with epilepsy use more health care services than the general population, this increase appears to be insufficient to address their health care needs.