Quality improvement in neurology

Quality Improvement Initiative to Implement Anxiety Screening for Children and Teens With Headache and Epilepsy

Background and Objectives

We conducted a quality improvement initiative to implement standardized screening for anxiety among adolescents with headache and/or epilepsy receiving outpatient neurology care at a quaternary health care system, consistent with recommendations from the American Academy of Neurology. Our SMART (Specific, Measurable, Achievable, Relevant, and Time-Based) aim was to screen ≥90% of established patients aged 12 years or older seen by a participating health care professional using a standardized anxiety screener by February 2024.

Methods

This initiative was conducted in patients seen for follow-up by 17 participating neurology health care professionals. Health care professional opinions were assessed before and after implementation of the Generalized Anxiety Disorder-7 (GAD-7), administered as a previsit questionnaire distributed using the electronic health record. The integrated workflow included a best practice advisory (BPA) alert that permitted easy access to interventions and automatic population of education materials into the after-visit summary. After 12 months of use (March 2023 to February 2024), we assessed demographic and diagnostic information, GAD-7 completion rates, anxiety symptom severity, BPA utilization, and health care professional acceptance of the intervention.

Results

The GAD-7 was completed for 64% of 3,671 encounters and by 71% of 2031 unique patients. The GAD-7 was more often completed for encounters if the patient was female, younger, or White or had a headache diagnosis. Among unique patients, anxiety symptoms were minimal in 50%, mild in 24%, moderate in 17%, and severe in 10%. Severe anxiety symptoms were more often present in female patients or those with a headache diagnosis. Among patients with severe anxiety symptoms, 66% had established behavioral health care plans and, for remaining patients, referrals were made to community behavioral health care professionals (11%), or pediatric psychologists (4%) or social workers (3%) within neurology. Clinicians indicated that the approach was easy to use and improved the quality of patient care.

Discussion

We implemented standardized EHR-based screening for anxiety symptoms for pediatric neurology patients, most of whom had headache or epilepsy. Screening was feasible, and approximately one-quarter of patients had moderate or severe anxiety symptoms. Future work will focus on improving completion rates of previsit questionnaires including the GAD-7 and optimizing clinician actions based on the screening data.

Providing integrated mental health care as a neurologist

Mental health comorbidities are highly prevalent and problematic in epilepsy, making it important for neurologists to be equipped to manage their patients' mental health concerns. This article explores the paradigm shift toward integrated mental health care approaches, aiming to educate early-career neurologists on their role within epilepsy care. We focus on depression and anxiety, how they present in epilepsy, and the role of integrated mental health care in managing these comorbidities. Key areas include the neurologist's role in identifying mental health issues through patient discussions and screening tools, and the basics of neurologist-led management. This covers the selection and adjustment of antiseizure medications and the use of psychopharmacology. Additionally, we emphasize the importance of providing psychoeducation and promoting healthy lifestyle choices that support mental well-being. Finally, we discuss the neurologist's role in facilitating referrals to mental health specialists, including information about the role of psychological interventions and psychiatry. This article aims to provide foundational knowledge to encourage early-career neurologists to actively engage in integrated mental health care approaches with their patients. This care can be flexible in how it incorporates different modalities and is tailored to local resources. It does not have to be extensive but should be meaningful enough to identify mental health concerns and facilitate patient access to appropriate resources and care.

Establishing essential clinical data elements for efficient epilepsy care in time-limited settings

PURPOSE

We aimed to develop a core set of common data elements (CDEs) for routine epilepsy care to enhance consistency and efficiency within time-limited clinical environments.

METHODS

We employed a modified Delphi method involving epileptologists from university-affiliated hospitals. Participants rated the feasibility and importance of proposed CDEs over three survey rounds. The primary objective was to create feasible CDEs for EHR integration that capture essential clinical information during 5-10-minute consultations. Participant feedback guided iterative refinements, culminating in two templates: follow-up notes and initial/periodic evaluations.

RESULTS

Of the 68 invited epileptologists, 61 (89.7 %) participated. In Round 1, consensus (≥67 % agreement) was achieved on 5 of 6 CDEs for follow-up notes and 22 of 28 for initial/periodic evaluations. After three rounds, consensus was reached on 6 follow-up note CDEs and 20 initial/periodic evaluation CDEs, including seizure frequency, date of last seizure, and medication changes. Most participants endorsed the necessity (98 %) of clinical CDEs and intended to implement them (97 %).

CONCLUSION

These core CDEs provide a practical, consensus-based framework for standardizing epilepsy care in South Korea under short consultation constraints. They can improve consistency and quality of care across institutions. Future initiatives will expand the CDEs to other patient subgroups, integrate patient-reported outcomes, and embed the templates in EHR systems for clinical and research applications.

Learning Health Systems and Improvement Science in Neurology

Although the quality movement in healthcare in the United States has been maturing for the last several decades, neurology remains a frontier of work related to learning healthcare systems (LHS) and the science of improvement. This review describes the use of LHS models in neurology and the use of Improvement Science to advance position system changes and improve care. LHSs are broadly understandable, widely supported, and have a developing yet proven track record. However, there are distinct challenges at multiple levels in successful implementation, as well as nuances related to variability in practice patterns and institutions. This review outlines these hurdles and approaches to addressing them. There are examples of effective work currently being conducted in this emerging field, with an emphasis on two subspecialties that have been the primary early adopters of these models and methodology within neurology: stroke and epilepsy. As LHS models take shape in neurology subspecialties, there will be an ongoing need for collaboration and iterative change to support continuous improvement in systems of care and improve outcomes for patients with neurologic disease.

Navigating Transition to Adulthood in Epilepsy Patients: A Multidisciplinary Approach

The transition from pediatric to adult healthcare systems is a critical yet complex process for individuals with epilepsy, requiring careful attention to both medical and psychosocial aspects. This review highlights best practices and strategies to facilitate effective transitions, focusing on the roles of multidisciplinary teams, communication strategies, shared decision-making, and transition readiness assessment. Key topics include early and ongoing communication, promoting patient autonomy, addressing mental health comorbidities, and implementing transition readiness assessments such as the Epilepsy Transition Readiness Assessment Questionnaire (EpiTRAQ). Additionally, the review evaluates models for transition clinics, emphasizing the importance of sustainability, collaboration, and tailored interventions. By leveraging these insights, healthcare professionals can support young adults with epilepsy in achieving independence and optimal health outcomes as they navigate the challenges of transitioning to adult care.

Education Research: Exploring the Impact of Standardized, Condition-Specific Note Templates on Quality Metrics and Efficiency in Multiple Resident Clinics

Background and Objectives

Electronic health record documentation burden negatively affects physician satisfaction and patient care. Although well-constructed notes are important for care quality and safety, most note templates are created and maintained by individual physicians, leading to inefficiency and variable note quality. This study aimed to assess whether standardized, condition-specific note templates could enhance the efficiency and quality of notes written by neurology residents in the outpatient setting.

Methods

In a quality improvement study with a randomized, nonblinded design from July 2021 to June 2022, neurology residents were assigned standardized templates for epilepsy, headache, and Parkinson disease (PD) in 2 outpatient clinics. The standardized templates were created with input from specialists in these disorders. Efficiency was gauged based on the time and characters involved in note writing while quality was assessed by adherence to American Academy of Neurology quality metrics for each condition through chart review. A qualitative survey gathered resident opinions on the templates. Linear regression models were used in the efficiency and quality analyses.

Results

The study included 23 of 34 neurology residents. Templates were used in 36% of eligible encounters over the first 6 months of the study and 65% over the last 6 months. No significant difference in time spent on note writing was observed between the template and nontemplate groups. While both groups showed similar quality measures across most domains, the template group documented quality measures more consistently for driving status in epilepsy (92% vs 53%, p = 0.002), medication-related motor symptoms in PD (95% vs 50%, p = 0.01), and lifestyle changes in headache management (77% vs 21%, p = 0.005). Resident feedback suggested that the templates facilitated clinic workflows and prompted more thorough patient inquiry.

Discussion

Standardized, condition-specific templates improved documentation of quality metrics without increasing time spent. Despite initial low uptake of template use, an increase was observed over time, indicating potential for wider acceptance with implementation efforts. These templates, updated and maintained by subject matter experts, serve as an opportunity to incorporate quality care checklists and knowledge into a clinician's workflow. This warrants further research into template implementation and its effects on care quality and education for neurologists and generalists.

Screening for depression, anxiety, and suicidality in outpatients of a tertiary epilepsy center: How frequent are increased scores and what is recommended?

OBJECTIVE

Psychiatric comorbidities are frequent in people with epilepsy (PWE) or psychogenic nonepileptic seizures (PNES), and the use of validated screening instruments to identify respective symptoms is recommended. Our aim was to investigate the recommendations resulting from routine screening for depression, anxiety and suicidality with the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and the Generalized Anxiety Disorder Scale (GAD-7) in the outpatient clinic of a tertiary epilepsy center.

METHODS

We retrospectively analyzed NDDI-E and GAD-7 scores (German versions) of 264 outpatients at a tertiary epilepsy center and extracted recommendations regarding psychopathology from the outpatient letters.

RESULTS

The screening revealed a likely major depression (NDDI-E ≥17) in 15.2% of PWE (without PNES, 30/197) and an NDDI-E score ≥17 in 51.2% of patients with PNES ± epilepsy (21/41), moderate to severe symptoms of generalized anxiety (GAD-7 ≥10) in 20.3% of PWE (40/197) and 56.1% of patients with PNES (23/41), and a high risk of suicidality (NDDI-E item 4 ≥3) in 8.1% of PWE (16/197) and in 24.4% of patients with PNES (10/41). The most frequently given recommendations regarding depression or anxiety were a psychiatric/psychotherapeutic treatment for PWE and an admission to the psychotherapy ward of the epilepsy center for patients with PNES. No evidence for active suicidal tendencies was found in any of the patients with a positive screening for suicidality.

CONCLUSION

Routine screening with NDDI-E and GAD-7 for depression, anxiety and suicidality is efficient and feasible and leads to individual recommendations for further assessment and treatment.

Implementing Guidelines and Measures in Epilepsy Care

ABSTRACT

People with epilepsy must receive up-to-date, high-quality care that aligns with current understanding of basic disease mechanisms, improved diagnostic testing, and evolving medical and surgical treatments. Varying progress has been made in identifying, measuring, and mitigating epilepsy care gaps. Epilepsy guidelines and quality measures should be developed using rigorous processes informed by systematic reviews of best evidence in conjunction with prioritization of need. Epilepsy measures help operationalize guidelines and practice parameters. Most epilepsy quality indicators are process-based metrics defined by delivering care to the patient. Systematic and reliable tracking and documentation of seizure frequency using consistent language is required as a patient-reported outcome within individuals over time and across populations. Emerging literature has demonstrated gaps in epilepsy care, perhaps highlighting limitations in the dissemination and implementation of guidelines and quality measures in clinical practice. Quality improvement methods applied to clinical data registries and learning health systems may afford new opportunities to iteratively, collaboratively, and feasibly disseminate guidelines and quality measures, measure epilepsy care quality, allow for the testing of interventions to mitigate identified care gaps, and, ultimately, improve care for patients with epilepsy.

Sexual and Reproductive Health in the Management of Epilepsy

OBJECTIVE

The management of epilepsy should be patient centered, and the treating team should carefully balance eliminating seizures while minimizing adverse effects associated with antiseizure medications. This article highlights important aspects of care related to sexual and reproductive health in people with epilepsy.

LATEST DEVELOPMENTS

Gender- and sex-based management in epilepsy can present unique challenges especially in people with epilepsy of childbearing potential. One of the most important considerations with the prescription of antiseizure medications to people of childbearing potential involves reproductive health. Folic acid supplementation is recommended to reduce the risk of congenital malformations, but there is no consensus on the optimal dose. The clinical management of pregnancy in the setting of epilepsy can be challenging. Significant knowledge gaps remain regarding the risks for most new antiseizure medications, neurostimulation therapy, and ketogenic diets during pregnancy. Ongoing multicenter pregnancy registries continue to inform practitioners on the medical treatment of people with epilepsy of childbearing potential. Data evaluating the effect of antiseizure medications on male patients with epilepsy, especially around conception, continue to be insufficient.

ESSENTIAL POINTS

The decision to prescribe an antiseizure medication depends on several considerations because of the potential for lifetime treatment with a daily medication. It is important to tailor management to the patient's specific circumstances. Seizures and antiseizure medications can both affect sexual and reproductive health. Furthermore, hormone fluctuations may affect seizure frequency, treatment, and contraception. All these factors should be considered when treating people with epilepsy during their reproductive years. In addition, it is important to foster a multidisciplinary approach for the treatment of people with epilepsy.

Psychiatric Comorbidities in Persons With Epilepsy Compared With Persons Without Epilepsy: A Systematic Review and Meta-Analysis

Importance

Several psychiatric disorders have been found to occur more frequently in persons with epilepsy (PWE) than in persons without epilepsy.

Objective

To summarize the prevalence of 20 psychiatric disorders in PWE compared with persons without epilepsy.

Data Sources

The search included records from inception to February 2024 in Ovid, MEDLINE, Embase, and PsycINFO.

Study Selection

Published epidemiological studies examining the prevalence of psychiatric disorders among PWE compared with persons without epilepsy were systematically reviewed. There were no restrictions on language or publication date.

Data Extraction and Synthesis

Abstracts were reviewed in duplicate, and data were extracted using a standardized electronic form. Descriptive statistics and meta-analyses are presented.

Main Outcomes and Measures

Data were recorded on the prevalence of 20 psychiatric disorders among PWE compared with persons without epilepsy. Meta-analyses were performed along with descriptive analyses.

Results

The systematic search identified 10 392 studies, 27 of which met eligibility criteria. The meta-analyses included 565 443 PWE and 13 434 208 persons without epilepsy. The odds of most psychiatric disorders studied were significantly increased in PWE compared with those without epilepsy, including anxiety (odds ratio [OR], 2.11; 95% CI, 1.73-2.58); depression (OR, 2.45; 95% CI, 1.94-3.09); bipolar disorder (OR, 3.12; 95% CI, 2.23-4.36); suicidal ideation (OR, 2.25; 95% CI, 1.75-2.88) but not suicide attempt (OR, 3.17; 95% CI, 0.49-20.46); psychotic disorder (OR, 3.98; 95% CI, 2.57-6.15); schizophrenia (OR, 3.72; 95% CI, 2.44-5.67); obsessive-compulsive disorder (OR, 2.71; 95% CI, 1.76-4.15); posttraumatic stress disorder (OR, 1.76; 95% CI, 1.14-2.73); eating disorders (OR, 1.87; 95% CI, 1.73-2.01); alcohol misuse (OR, 3.64; 95% CI, 2.27-5.83) and alcohol dependence (OR, 4.94; 95% CI, 3.50-6.96) but not alcohol abuse (OR, 2.10; 95% CI, 0.60-7.37); substance use disorder (OR, 2.75; 95% CI, 1.61-4.72); autism spectrum disorder (OR, 10.67; 95% CI, 6.35-17.91); and attention-deficit/hyperactivity disorder (OR, 3.93; 95% CI, 3.80-4.08).

Conclusions and Relevance

In this comprehensive study, most psychiatric comorbidities examined were significantly more prevalent in PWE than in those without epilepsy. These findings show the high burden of psychiatric comorbidities in PWE. This, in turn, underscores the need for appropriately identifying and treating psychiatric comorbidity in epilepsy to manage patients effectively and improve quality of life.

Distinct comorbidity phenotypes among post-9/11 Veterans with epilepsy are linked to diverging outcomes and mortality risks

OBJECTIVE

To investigate phenotypes of comorbidity before and after an epilepsy diagnosis in a national cohort of post-9/11 Service Members and Veterans and explore phenotypic associations with mortality.

METHODS

Among a longitudinal cohort of Service Members and Veterans receiving care in the Veterans Health Administration (VHA) from 2002 to 2018, annual diagnoses for 26 conditions associated with epilepsy were collected over 5 years, ranging from 2 years prior to 2 years after the year of first epilepsy diagnosis. Latent class analysis (LCA) was used to identify probabilistic comorbidity phenotypes with distinct health trajectories. Descriptive statistics were used to describe the characteristics of each phenotype. Fine and Gray cause-specific survival models were used to measure mortality outcomes for each phenotype up to 2021.

RESULTS

Six distinct phenotypes were identified: (1) relatively healthy, (2) post-traumatic stress disorder, (3) anxiety and depression, (4) chronic disease, (5) bipolar/substance use disorder, and (6) polytrauma. Accidents were the most common cause of death overall, followed by suicide/mental health and cancer, respectively. Each phenotype exhibited unique associations with mortality and cause of death, highlighting the differential impact of comorbidity patterns on patient outcomes.

SIGNIFICANCE

By delineating clinically meaningful epilepsy comorbidity phenotypes, this study offers a framework for clinicians to tailor interventions. Moreover, these data support systems of care that facilitate treatment of epilepsy and comorbidities within an interdisciplinary health team that allows continuity of care. Targeting treatment toward patients with epilepsy who present with specific heightened risks could help mitigate adverse outcomes and enhance overall patient care.

Extracting seizure control metrics from clinic notes of patients with epilepsy: A natural language processing approach

OBJECTIVES

Monitoring seizure control metrics is key to clinical care of patients with epilepsy. Manually abstracting these metrics from unstructured text in electronic health records (EHR) is laborious. We aimed to abstract the date of last seizure and seizure frequency from clinical notes of patients with epilepsy using natural language processing (NLP).

METHODS

We extracted seizure control metrics from notes of patients seen in epilepsy clinics from two hospitals in Boston. Extraction was performed with the pretrained model RoBERTa_for_seizureFrequency_QA, for both date of last seizure and seizure frequency, combined with regular expressions. We designed the algorithm to categorize the timing of last seizure ("today", "1-6 days ago", "1-4 weeks ago", "more than 1-3 months ago", "more than 3-6 months ago", "more than 6-12 months ago", "more than 1-2 years ago", "more than 2 years ago") and seizure frequency ("innumerable", "multiple", "daily", "weekly", "monthly", "once per year", "less than once per year"). Our ground truth consisted of structured questionnaires filled out by physicians. Model performance was measured using the areas under the receiving operating characteristic curve (AUROC) and precision recall curve (AUPRC) for categorical labels, and median absolute error (MAE) for ordinal labels, with 95 % confidence intervals (CI) estimated via bootstrapping.

RESULTS

Our cohort included 1773 adult patients with a total of 5658 visits with reported seizure control metrics, seen in epilepsy clinics between December 2018 and May 2022. The cohort average age was 42 years old, the majority were female (57 %), White (81 %) and non-Hispanic (85 %). The models achieved an MAE (95 % CI) for date of last seizure of 4 (4.00-4.86) weeks, and for seizure frequency of 0.02 (0.02-0.02) seizures per day.

CONCLUSIONS

Our NLP approach demonstrates that the extraction of seizure control metrics from EHR is feasible allowing for large-scale EHR research.

Pediatric Palliative Epilepsy Surgery: A Report From the Pediatric Epilepsy Research Consortium (PERC) Surgery Database

BACKGROUND

Epilepsy surgery is an underutilized resource for children with drug-resistant epilepsy. Palliative and definitive surgical options can reduce seizure burden and improve quality of life. Palliative epilepsy surgery is often seen as a "last resort" compared to definitive surgical options. We compare patient characteristics between palliative and definitive epilepsy surgical patients and present palliative surgical outcomes from the Pediatric Epilepsy Research Consortium surgical database.

METHODS

The Pediatric Epilepsy Research Consortium Epilepsy Surgery database is a prospective registry of patients aged 0-18 years undergoing evaluation for epilepsy surgery at 20 pediatric epilepsy centers. We included all children with completed surgical therapy characterized as definitive or palliative. Demographics, epilepsy type, age of onset, age at referral, etiology of epilepsy, treatment history, time-to-referral/evaluation, number of failed anti-seizure medications (ASMs), imaging results, type of surgery, and postoperative outcome were acquired.

RESULTS

Six hundred forty patients undergoing epilepsy surgery were identified. Patients undergoing palliative procedures were younger at seizure onset (median: 2.1 vs 4 years, P= 0.0008), failed more ASM trials before referral for presurgical evaluation (P=<0.0001), and had longer duration of epilepsy before referral for surgery (P=<0.0001). During presurgical evaluation, patients undergoing palliative surgery had shorter median duration of video-EEG data collected (P=0.007) but number of cases where ictal data were acquired was similar between groups. The most commonly performed palliative procedure was corpus callosotmy (31%), followed by lobectomy (21%) and neuromodulation (82% responsive neurostimulation vs 18% deep brain stimulation). Palliative patients were further categorized into traditionally palliative procedures vs traditionally definitive procedures. The majority of palliative patients had 50% reduction or better in seizure burden. Seizure free outcomes were significantly higher among those with traditional definitive surgeries, 41% (95% confidence interval: 26% to 57%) compared with traditional palliative surgeries and 9% (95% confidence interval: 2% to 17%). Rate of seizure freedom was 46% at 24 months or greater of follow-up in the traditional definitive group.

CONCLUSIONS

Patients receiving palliative epilepsy surgery trialed more ASMs, were referred later after becoming drug resistant, and had longer gaps between drug resistance and epilepsy surgery compared with patients undergoing definitive epilepsy surgery. The extent of surgical evaluation is impacted if surgery is thought to be palliative. A majority of palliative surgery patients achieved >50% seizure reduction at follow-up, both in groups that received traditionally palliative and traditionally definitive surgical procedures. Palliative surgical patients can achieve greater seizure control and should be referred to an epilepsy surgery center promptly after failing two appropriate anti-seizure medications.

Quality of life during usual epilepsy care for anxiety or depression symptoms: Secondary patient-reported outcomes in a randomized trial of remote assessment methods

BACKGROUND AND OBJECTIVES

Anxiety and depression are highly prevalent and impactful in epilepsy. American Academy of Neurology quality measures emphasize anxiety and depression screening and quality of life (QOL) measurement, yet usual epilepsy care QOL and anxiety/depression outcomes are poorly characterized. The main objective was to assess 6-month QOL, anxiety and depression during routine care among adults with epilepsy and baseline anxiety or depression symptoms; these were prespecified secondary outcomes within a pragmatic randomized trial of remote assessment methods.

METHODS

Adults with anxiety or depression symptoms and no suicidal ideation were recruited from a tertiary epilepsy clinic via an electronic health record (EHR)-embedded process. Participants were randomized 1:1 to 6 month outcome collection via patient portal EHR questionnaires vs. telephone interview. This report focuses on an a priori secondary outcomes of the overall trial, focused on patient-reported health outcomes in the full sample. Quality of life, (primary health outcome), anxiety, and depression measures were collected at 3 and 6 months (Quality of Life in Epilepsy-10, QOLIE-10, Generalized Anxiety Disorder-7, Neurological Disorders Depression Inventory-Epilepsy). Change values and 95 % confidence intervals were calculated. In post-hoc exploratory analyses, patient-reported anxiety/depression management plans at baseline clinic visit and healthcare utilization were compared with EHR-documentation, and agreement was calculated using the kappa statistic.

RESULTS

Overall, 30 participants (15 per group) were recruited and analyzed, of mean age 42.5 years, with 60 % women. Mean 6-month change in QOLIE-10 overall was 2.0(95 % CI -6.8, 10.9), and there were no significant differences in outcomes between the EHR and telephone groups. Mean anxiety and depression scores were stable across follow-up (all 95 % CI included zero). Outcomes were similar regardless of whether an anxiety or depression action plan was documented. During the baseline interview, most participants with clinic visit EHR documentation indicating action to address anxiety and/or depression reported not being offered a treatment(7 of 12 with action plan, 58 %), and there was poor agreement between patient report and EHR documentation (kappa=0.22). Healthcare utilization was high: 40 % had at least one hospitalization or emergency/urgent care visit reported and/or identified via EHR, but a third (4/12) failed to self-report an EHR-identified hospitalization/urgent visit.

DISCUSSION

Over 6 months of usual care among adults with epilepsy and anxiety or depression symptoms, there was no significant average improvement in quality of life or anxiety/depression, suggesting a need for interventions to enhance routine neurology care and achieve quality of life improvement for this group.

Development of an International Standard Set of Outcomes and Measurement Methods for Routine Practice for Adults with Epilepsy: The International Consortium for Health Outcomes Measurement Consensus Recommendations

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.

Neurologists' and obstetricians' perspectives and current practices in breastfeeding counseling in women with epilepsy

OBJECTIVES

In this study, we aimed to characterize practice patterns of neurologists and obstetricians in breastfeeding (BF) counseling in women with epilepsy (WWE) and explore factors that may influence physician counseling behaviors.

METHODS

We conducted a cross-sectional study of neurologists and obstetricians via an anonymous survey from September 2021 until November 2021. A survey was developed to explore the following areas in WWE: current physicians' BF counseling patterns, physician-specific factors affecting BF counseling, and patient-specific factors and their impact on BF counseling. Descriptive statistics were generated for each survey question. Responses from neurologists and obstetricians were compared. Odds ratios (OR) and confidence intervals (CI) were calculated to assess factors that influence BF counseling in WWE.

RESULTS

A total of 185 physicians participated in the study and consisted of 91 (49.2 %) neurologists, 83 (44.8 %) obstetricians, and 11 (6 %) participants from other specialties. Ninety-four percent (94 %) of neurologists and 92 % of obstetricians indicated that they provide BF safety counseling to WWE primarily during preconception and occasionally during pregnancy. Fifty-six percent of obstetricians reported being very comfortable with BF counseling in WWE, compared to 68 % of neurologists. Both groups rated research and clinical practice guidelines as two factors that have major impact on BF counseling; however, less than half (45 %) of neurologists are very familiar with the current literature and only a quarter (24 %) of obstetricians are very familiar with current literature regarding safety of BF in WWE. Regarding barriers to BF counseling, relative to neurologists, obstetricians believe that delivery of conflicting opinions among medical specialists about BF safety is a barrier that may impede effective BF counseling in WWE [OR = 2.78 (95 % CI: 1.30,5.95), adjusted p value (P = 0.008)].

SIGNIFICANCE

Variable knowledge of current literature in BF in WWE and low comfort levels in BF counseling among various specialists, as well as perceived inadequate data and clinical practice guidelines, may contribute to suboptimal BF counseling and impact health outcomes in WWE and their children.

A pediatrician's guide to epilepsy surgery

Surgical intervention for epilepsy emerged in the second half of the 20th century as an important option for pediatric patients with medically refractory epilepsy. Both the number of patients undergoing epilepsy surgery and the available surgical procedures for epilepsy have expanded in the last 3 decades, and now range from surgical resection to neuromodulatory device placement1,2 Studies showing that many patients who would be excellent candidates for surgery are still not being offered appropriate interventions have prompted an interest in ensuring that all providers who see patients with epilepsy are aware of the options for epilepsy surgery to facilitate earlier referrals when medications have not been effective3 In this article, we will introduce the pediatrician to the process involved in determining epilepsy surgery candidacy and to surgical outcomes, with the goal of empowering pediatric providers to refer their medically refractory epilepsy patients to a pediatric epilepsy center.

Anticipatory anxiety of seizures in epilepsy: A common, complex, and underrecognized phenomenon?

The diagnosis of epilepsy is associated with loss of predictability, which invariably results in the fear of when and if future seizures will occur. For a subset of patients with epilepsy (PWE), there may be a pathological persistent fear of seizure occurrence, resulting in limitations to daily activities through avoidant behaviors. Paradoxically, the research of anticipatory anxiety of seizures (AAS; also referred to as seizure phobia) has been practically nonexistent and, not surprisingly, this condition remains underrecognized by clinicians. The available data are derived from three small case series of patients followed in tertiary epilepsy centers. In this study, we review the available data on the reported clinical manifestations of AAS in PWE, and of the potential role of variables associated with it, such as personal and family psychosocial and psychiatric history and epilepsy-related variables. In addition, we review the need for the creation of screening tools to identify patients at risk of AAS and discuss potential treatment strategies, which could be considered as part of the comprehensive management for PWE.

What is the role of screening instruments in the management of psychiatric comorbidities in epilepsy? Tools and practical tips for the most common comorbidities: Depression and anxiety

Depression and anxiety are the most common psychiatric comorbidities in epilepsy and are known to increase healthcare utilization, the risk of refractory epilepsy, and anti-seizure medication intolerability. Despite this, depression and anxiety continue to be underrecognized and undertreated in people with epilepsy (PWE). Several barriers to the identification of depression and anxiety in PWE exist, including reliance on unstructured interviews rather than standardized, validated instruments. Moreover, there is a dearth of behavioral health providers to manage these comorbidities once identified. The use of validated screening instruments in epilepsy clinics can assist with both the identification of psychiatric symptoms and monitoring of treatment response by the epilepsy clinician for PWE with comorbid depression and/or anxiety. While screening instruments can identify psychiatric symptoms occurring within a specified time, they are not definitively diagnostic. Screeners can be time efficient tools to identify patients requiring further evaluation for diagnostic confirmation. This article reviews recent literature on the utility of depression and anxiety screening instruments in epilepsy care, including commonly used screening instruments, and provides solutions for potential barriers to clinical implementation. Validated depression and anxiety screening instruments can increase identification of depression and anxiety and guide epilepsy clinician management of these comorbidities which has the potential to positively impact patient care.

Guidelines for Specialized Epilepsy Centers: Executive Summary of the Report of the National Association of Epilepsy Centers Guideline Panel

The National Association of Epilepsy Centers first published the guidelines for epilepsy centers in 1990, which were last updated in 2010. Since that update, epilepsy care and the science of guideline development have advanced significantly, including the importance of incorporating a diversity of stakeholder perspectives such as those of patients and their caregivers. Currently, despite extensive published data examining the efficacy of treatments and diagnostic testing for epilepsy, there remain significant gaps in data identifying the essential services needed for a comprehensive epilepsy center and the optimal manner for their delivery. The trustworthy consensus-based statements (TCBS) process produces unbiased, scientifically valid guidelines through a transparent process that incorporates available evidence and expert opinion. A systematic literature search returned 5937 relevant studies from which 197 articles were retained for data extraction. A panel of 41 stakeholders with diverse expertise evaluated this evidence and drafted recommendations following the TCBS process. The panel reached consensus on 52 recommendations covering services provided by specialized epilepsy centers in both the inpatient and outpatient settings in major topic areas including epilepsy monitoring unit care, surgery, neuroimaging, neuropsychology, genetics, and outpatient care. Recommendations were informed by the evidence review and reflect the consensus of a broad panel of expert opinions.

Implementing American Academy of Neurology Quality Measures in Antigua Using Quality Improvement Methodology

Background and Objectives

The American Academy of Neurology has developed quality measures related to various neurologic disorders. A gap exists in the implementation of these measures in the different health care systems. To date, there has been no electronic health care record nor implementation of quality measures in Antigua. Therefore, we aimed to increase the percent of patients who have epilepsy quality measures documented using standardized common data elements in the outpatient neurology clinic at Sir Lester Bird Medical Center from 0% to 80% per week by June 1, 2022 and sustain for 6 months.

Methods

We used the Institute for Health care Improvement Model for Improvement methodology. A data use agreement was implemented. Data were displayed using statistical process control charts and the American Society for Quality criteria to determine statistical significance and centerline shifts.

Results

Current and future state process maps were developed to determine areas of opportunity for interventions. Interventions were developed following a "Plan-Do-Study-Act cycle." One intervention was the creation of a RedCap survey and database to be used by health care providers during clinical patient encounters. Because of multiple interventions, we achieved a 100% utilization of the survey for clinical care.

Discussion

Quality improvement (QI) methodology can be used for implementation of quality measures in various settings to improve patient care outcomes without use of significant resources. Implementation of quality measures can increase efficiency in clinical delivery. Similar QI methodology could be implemented in other resource-limited countries of the Caribbean and globally.

Improving Seizure Frequency Documentation and Classification

Background and Objectives

Accurate and reliable seizure data are essential for evaluating treatment strategies and tracking the quality of care in epilepsy clinics. This quality improvement project aimed to increase seizure documentation (i.e., documentation of seizure frequency from 80% to 100%, date of last seizure from 35% to 50%, and International League Against Epilepsy (ILAE) seizure classification from 35% to at least 50%) over 6 months.

Methods

We surveyed 7 epileptologists to determine their perceived seizure frequency, ILAE classification, and date of last seizure documentation habits. Baseline data were collected weekly from September to December 2021. Subsequently, we implemented a newly created flowsheet in our Electronic Health Record (EHR) based on the Epilepsy Learning Healthcare System (ELHS) Case Report Forms to increase seizure documentation in a standardized way. Two epileptologists tested this flowsheet tool in their epilepsy clinics between February 2022 and July 2022. Data were collected weekly and compared with documentation from other epileptologists within the same group.

Results

Epileptologists at our center believed they documented seizure frequency for 84%-87% of clinic visits, which aligned with baseline data collection, showing they recorded seizure frequency for 83% of clinic visits. Epileptologists believed they documented ILAE classification for 47%-52% of clinic visits, and baseline data showed this was documented in 33% of clinic visits. They also reported documenting the date of the last seizure for 52%-63% of clinic visits, but this occurred in only 35% of clinic visits. After implementing the new flowsheet, documentation increased to nearly 100% for all fields being completed by the providers who tested the flowsheet.

Discussion

We demonstrated that by implementing an easy-to-use standardized EHR documentation tool, our documentation of critical metrics, as defined by the ELHS, improved dramatically. This shows that simple and practical interventions can substantially improve clinically meaningful documentation.

Comparison of psychosocial screeners in an epilepsy clinic

Screenings are recommended for co-occurring conditions in pediatric epilepsy. However, there is limited research regarding which screener to implement in the clinic. This study aimed to compare different screening measures for attention-deficit/hyperactivity disorder (ADHD) and emotional concerns in a pediatric epilepsy population during a routine neurology clinic visit. Fifty (22%) of 226 contacted parents of children with epilepsy ages 5-17 years old agreed to participate. Screening measures included the Strengths and Difficulties Questionnaire (SDQ; Hyperactivity/Inattention (ADHD), Emotional Problems (E) subscales), the Pediatric Quality of Life Inventory Epilepsy Module (PedsQL-EM; Executive Functioning (EF), Mood/Behavior (M/B) subscales), and the ADHD Rating Scale (ADHD-RS). Analyses comparing measures included Chi Square, Pearson's correlation, and agreement statistics (Cohen's kappa, overall agreement). Consistent with prior literature, positive screening rates ranged from 40% to 72% for ADHD concerns and 38% to 46% for emotional concerns. Agreement between measures ranged from fair to substantial, with the highest agreement (85%; κ = 0.70) between the SDQ-E and PedsQL-EM-M/B. Although all measures rendered positive screens within expected rates, there are differences among the measures that inform screening measure selection.

Characteristics of an advanced epilepsy treatment gap in a region in Japan

To investigate the quality of epilepsy care in a region in Japan that lacked specialised care, we retrospectively evaluated patients who visited our newly established epilepsy division between April 2018 and March 2021, and had been treated with anti-seizure medications (ASMs) for at least 1 year prior. Of the 231 patients included, 169 had ongoing seizure episodes at first visit (seizure-persist group) and 62 had no seizure episodes for more than a year (seizure-free group). Eighty-three patients in the seizure-persist group had not received specialised epilepsy care, 15 had been treated with unnecessary medications, and seven had experienced side effects from ASMs. Twelve patients in the seizure-free group had been treated with unnecessary ASMs, 10 had been treated with ASMs with teratogenic potential and four had experienced ASM side effects. These patients could be classified as having an advanced epilepsy treatment gap (ETG) because they had not previously received necessary specialised care. The progressive decline in the number of patients with advanced ETG suggests that our new epilepsy division has addressed this issue. This study highlights that a significant number of patients with advanced ETGs exist in Japan and that proper countermeasures are required to address this gap.

Study protocol for a case series: implementation and evaluation of an integrated mental and physical healthcare programme to screen for mental health symptoms in people with epilepsy

INTRODUCTION

The prevalence of mental health symptoms in people with epilepsy (PWE) is elevated compared with that of the general population. These symptoms can negatively impact epilepsy management and patient outcomes but can be treated once recognised. It is, therefore, important to screen for these symptoms to identify needs and put in place appropriate support. Unfortunately, mental health symptoms are rarely addressed in epilepsy services due to time constraints, lack of resources and communication between psychological and medical professionals. These barriers can result in diagnostic overshadowing, where symptoms may be attributed to the disease and reduce the level of support PWE receive. Implementing an online screening tool embedded in the electronic health record (EHR) platform with supported referral pathways may remove some of these barriers.

METHODS AND ANALYSIS

We will follow the Integrating Mental and Physical Healthcare: Research Training and Services framework, which is a routine clinical data collection tool used by clinical teams to electronically screen psychological symptoms among patients with long-term physical health conditions. Patient outcomes including mental health, physical health and psychosocial outcomes will be collected and uploaded to the EHR platform in real-time. An appropriate referral pathway will be recommended depending on severity of the outcome scores. We will initially pilot the tool for individuals aged 13 years and above through epilepsy clinics at King's College Hospital. Following this, the acceptability and feasibility of the tool will be assessed at baseline, 6 and 12 months.

ETHICS AND DISSEMINATION

Ethics approval was obtained from the National Health Service Research Ethics Committee of South Central-Oxford C, reference: 21/EM/0205. This study is expected to inform the use of integrated electronic mental health screening for youth in epilepsy clinics and improve access to psychological support. The findings will be disseminated through academic peer-reviewed journals, poster presentations and scientific meetings.

A quality improvement initiative to improve folic acid supplementation counseling for adolescent females with epilepsy

OBJECTIVE

We designed a quality improvement (QI) project to improve rates of documented folic acid supplementation counseling for adolescent females with epilepsy, consistent with a quality measure from the American Academy of Neurology and American Epilepsy Society. Our SMART aim was to increase the percentage of visits at which folic acid counseling was addressed from our baseline rate of 23% to 50% by July 1, 2020.

METHODS

This initiative was conducted in female patients ≥12 years old with epilepsy who were prescribed daily antiseizure medication and were seen by the 13 providers in our Neurology QI Program. Using provider interviews, we undertook a root cause analysis of low counseling rates and identified the following main factors: insufficient time during clinic visit to counsel, lack of provider knowledge, and forgetting to counsel. Countermeasures were designed to address these main root causes and were implemented through iterative plan-do-study-act (PDSA) cycles. Interventions included provider education and features within the electronic health record, which were introduced sequentially, culminating in the creation of a best practice advisory (BPA). We performed biweekly chart reviews of visits for applicable patients to establish baseline performance rate and track progress over time. We used a statistical process control p-chart to analyze the outcome measure of documented counseling. As a balancing measure, clinicians were surveyed using the Technology Adoption Model survey to assess acceptance of the BPA.

RESULTS

From September 2019 to August 2022, the QI team improved rates of documented folic acid counseling from 23% to 73% through several PDSA cycles. This level of performance has been sustained over time. The most successful and sustainable intervention was the BPA. Provider acceptance of the BPA was overall positive.

SIGNIFICANCE

We successfully used QI methodology to improve and sustain our rates of documented folic acid supplementation counseling for adolescent females with epilepsy.

Examination of health literacy and personal impact of epilepsy in patients with epilepsy

AIM

We conducted this study to examine the impact of health literacy on the personal impact of epilepsy in patients with epilepsy.

METHOD

We conducted this cross-sectional and correlational study with 125 individuals who were admitted to the neurology outpatient clinic of a university hospital in eastern Turkey, who met the research criteria, and who accepted to participate in the study. We collected the data by using the "Descriptive Information Form (DIF)", "The Personal Impact of Epilepsy Scale (PIES)", and "Health Literacy Scale (HLS)".

RESULTS

We found that the mean HLS total score of the participants was 104.84 ± 22.88. We also found the mean PIES total score to be 27.08 ± 18.56. Regression results using PIES as a dependent variable reported that the model created was statistically significant (F (21,83) = 11.398, p < 0.05). Among the variables included in the model, income status and HLS were negative (β = -0.209; β = -0.194; β = -0.364, respectively) predictors of the PIES total score. However, seizure status in the last year, number of drugs used, and seizure type were positive predictors of the PIES total score. We found that the variables included in the analysis explained 74% of the total PIES score.

CONCLUSION

In conclusion, the health literacy level (HLL) of the participants was sufficient or very good, and the effect of the disease on individuals with epilepsy was low. The effect of the disease on individuals with epilepsy decreased as the level of health literacy increased.

Adherence to epilepsy quality indicators in a tertiary referral center

BACKGROUND

Quality indicators play an important role in healthcare quality and patient safety. The aim of this study is to identify specific clinical pharmacy interventions to improve adherence to quality indicators and minimize risks among patients with epilepsy.

MATERIAL AND METHODS

A prospective, two-phase, observational study was conducted in a neurology outpatient clinic of a tertiary university hospital. In the first phase of the study, the rate of adherence to the quality indicators was evaluated with a checklist containing the quality indicators. In the second phase of the study, an expert panel meeting was convened to identify clinical pharmacist interventions to reduce the risks associated with non-adherence. The Fine-Kinney method was used to prioritize risks, and adherence rates with each quality improvement indicator (QI) were calculated.

RESULTS

The study found that adherence rates were highest for QIs involving estimating the number and type of seizures, providing medical treatment or referring patients with evidence of mood disorders to mental healthcare, and co-managing prenatal care for women with epilepsy. The most non-adherence rates were found in QIs involving quality-of-life assessment, daily folate supplementation, and addressing the decreased effectiveness of oral contraception. The annual review of information about educational issues was also poorly provided. An expert panel decided to integrate a clinical pharmacist into the outpatient clinic to improve medication adherence, side-effect assessment, drug interaction assessment, patient education, lifestyle-modification education, depression/suicide-related behavior screening, quality-of-life assessment, and effectiveness evaluation of oral contraceptives for female patients using enzyme-inducing ASM.

CONCLUSION

The study shows that medication adherence, assessment of side effects, drug interactions, and patient education are inadequately provided by neurologists in patients with epilepsy. Clinical pharmacists have a crucial role in reducing potential risks of non-adherence with quality indicators. By integrating clinical pharmacy services into routine epilepsy care processes, the quality of care can be improved. Future studies should focus on implementing these interventions and evaluating their impact on patient outcomes.

Predictors of referral for long-term EEG monitoring for Medicare beneficiaries with drug-resistant epilepsy

OBJECTIVE

For people with drug-resistant epilepsy, the use of epilepsy surgery is low despite favorable odds of seizure freedom. To better understand surgery utilization, we explored factors associated with inpatient long-term EEG monitoring (LTM), the first step of the presurgical pathway.

METHODS

Using 2001-2018 Medicare files, we identified patients with incident drug-resistant epilepsy using validated criteria of ≥2 distinct antiseizure medication (ASM) prescriptions and ≥1 drug-resistant epilepsy encounter among patients with ≥2 years pre- and ≥1 year post-diagnosis Medicare enrollment. We used multilevel logistic regression to evaluate associations between LTM and patient, provider, and geographic factors. We then analyzed neurologist-diagnosed patients to further evaluate provider/environmental characteristics.

RESULTS

Of 12 044 patients with incident drug-resistant epilepsy diagnosis identified, 2% underwent surgery. Most (68%) were diagnosed by a neurologist. In total, 19% underwent LTM near/after drug-resistant epilepsy diagnosis; another 4% only underwent LTM much prior to diagnosis. Patient factors most strongly predicting LTM were age <65 (adjusted odds ratio 1.5 [95% confidence interval 1.3-1.8]), focal epilepsy (1.6 [1.4-1.9]), psychogenic non-epileptic spells diagnosis (1.6 [1.1-2.5]) prior hospitalization (1.7, [1.5-2]), and epilepsy center proximity (1.6 [1.3-1.9]). Additional predictors included female gender, Medicare/Medicaid non-dual eligibility, certain comorbidities, physician specialties, regional neurologist density, and prior LTM. Among neurologist-diagnosed patients, neurologist <10 years from graduation, near an epilepsy center, or epilepsy-specialized increased LTM likelihood (1.5 [1.3-1.9], 2.1 [1.8-2.5], 2.6 [2.1-3.1], respectively). In this model, 37% of variation in LTM completion near/after diagnosis was explained by individual neurologist practice and/or environment rather than measurable patient factors (intraclass correlation coefficient 0.37).

SIGNIFICANCE

A small proportion of Medicare beneficiaries with drug-resistant epilepsy completed LTM, a proxy for epilepsy surgery referral. While some patient factors and access measures predicted LTM, non-patient factors explained a sizable proportion of variance in LTM completion. To increase surgery utilization, these data suggest initiatives targeting better support of neurologist referral.

Factor Structure of the GHQ-12 and Their Applicability to Epilepsy Patients for Screening Mental Health Problems

Epilepsy, a severe neurological disorder impacting approximately 50 million individuals worldwide, is associated with a high prevalence of mental health issues. However, existing research has predominantly examined the relationship between epilepsy and depression or anxiety, neglecting other dimensions of mental health as assessed by factor scores from the general health survey (GHQ), such as the GHQ-12. This study aimed to explore how epilepsy affects both general mental health and specific dimensions of mental health. By employing a factor analysis and a predictive normative modeling approach, the study examined 426 epilepsy patients and 39,171 individuals without epilepsy. The findings revealed that epilepsy patients experienced poorer general mental health and specific aspects of mental health. Consequently, this study highlights the validity of GHQ-12 as a measure of mental health problems in epilepsy patients and emphasizes the importance of considering the impact of epilepsy on various dimensions of mental health, rather than focusing solely on depression or anxiety. Clinicians should incorporate these study results into the development of interventions aimed at enhancing mental well-being in epilepsy patients, ultimately leading to improved outcomes.

Counseling on the Need for Folic Acid in Adolescents With Epilepsy

Background and Objectives

Folic acid is an important supplement to take for women with epilepsy on antiseizure medications (ASMs). Determination of baseline counseling given to women with epilepsy and the association with folic acid being recommended were evaluated. Factors surrounding the association were reviewed.

Methods

An exploratory retrospective review of women with epilepsy seen at a large Midwestern pediatric institution was performed between January 2018 and January 2020.

Results

Patients who received preconception counseling were more likely to be given a recommendation to take folic acid. Patients on more than 1 ASM were likely to receive counseling. Patient age and race were associated with having folic acid recommended.

Discussion

Providing preconception counseling for women with epilepsy is associated with an increased recommendation and prescription of folic acid. Further evaluation into possible disparities to receiving a folic acid recommendation is needed.

Long-term epilepsy outcome dynamics revealed by natural language processing of clinic notes

OBJECTIVE

Electronic medical records allow for retrospective clinical research with large patient cohorts. However, epilepsy outcomes are often contained in free text notes that are difficult to mine. We recently developed and validated novel natural language processing (NLP) algorithms to automatically extract key epilepsy outcome measures from clinic notes. In this study, we assessed the feasibility of extracting these measures to study the natural history of epilepsy at our center.

METHODS

We applied our previously validated NLP algorithms to extract seizure freedom, seizure frequency, and date of most recent seizure from outpatient visits at our epilepsy center from 2010 to 2022. We examined the dynamics of seizure outcomes over time using Markov model-based probability and Kaplan-Meier analyses.

RESULTS

Performance of our algorithms on classifying seizure freedom was comparable to that of human reviewers (algorithm F1 = .88 vs. human annotatorκ = .86). We extracted seizure outcome data from 55 630 clinic notes from 9510 unique patients written by 53 unique authors. Of these, 30% were classified as seizure-free since the last visit, 48% of non-seizure-free visits contained a quantifiable seizure frequency, and 47% of all visits contained the date of most recent seizure occurrence. Among patients with at least five visits, the probabilities of seizure freedom at the next visit ranged from 12% to 80% in patients having seizures or seizure-free at the prior three visits, respectively. Only 25% of patients who were seizure-free for 6 months remained seizure-free after 10 years.

SIGNIFICANCE

Our findings demonstrate that epilepsy outcome measures can be extracted accurately from unstructured clinical note text using NLP. At our tertiary center, the disease course often followed a remitting and relapsing pattern. This method represents a powerful new tool for clinical research with many potential uses and extensions to other clinical questions.

Depression and Epilepsy: The Bidirectional Relation Goes On and On…

Directionality of the Association Between Epilepsy and Depression: A Nationwide Register-Based Cohort Study Bølling-Ladegaard E, Dreier JW, Kessing LV, Budtz-Jørgensen E, Lolk K, Christensen J. Neurology . 2023;100(9):e932-e942. doi:10.1212/WNL.0000000000201542 . Epub 2022 Nov 22. Background and objectives: Epilepsy and depression share a bidirectional relationship; however, its magnitude and long-term temporal association remain to be elucidated. This study investigates the magnitude and long-term association between epilepsy and depression, comparing with the risks of the 2 disorders after another chronic medical illness (asthma). Methods: In a nationwide register-based matched cohort study, we identified all individuals who received a first diagnosis of epilepsy, depression, and asthma from January 1, 1980, to December 31, 2016. We used a Cox regression model to estimate the risk of epilepsy after depression and vice versa and the risk of epilepsy or depression after asthma, compared with healthy references matched on age and sex, adjusting for medical comorbidity, substance abuse, and calendar time. Results were stratified by epilepsy subtype. We furthermore investigated the risk of admission with acute seizures for persons with epilepsy who became depressed. Results: In a population of 8,741,955 individuals, we identified 139,014 persons with epilepsy (54% males, median age at diagnosis 43 years [inter quartile range (IQR) 17-65 years]), 219,990 persons with depression (37% males, median age at diagnosis 43 years [IQR 29-60 years]), and 358,821 persons with asthma (49% males, median age at diagnosis 29 years [IQR 6-56 years]). The adjusted hazard ratio (aHR) of depression after epilepsy was 1.88 (95% CI 1.82-1.95), and the aHR of epilepsy after depression was 2.35 (95% CI 2.25-2.44). The aHR of depression after asthma was 1.63 (95% CI 1.59-1.67) and that of epilepsy after asthma, 1.48 (95% CI 1.44-1.53). The risk of depression was highest in the few years preceding and after an epilepsy diagnosis, and vice versa, but remained elevated during the entire follow-up period for both directions of the association. There was no evidence of a stronger association with depression for any epilepsy subtype. Receiving a diagnosis of depression subsequent to an epilepsy diagnosis was associated with a 1.20-fold (95% CI 1.07-1.36) increased HR of acute hospital admission with seizures. Discussion: We identified a long-term bidirectional relationship between depression and epilepsy in a large-scale cohort study. Risk estimates were higher than those of epilepsy or depression after asthma.

Impact of acute symptomatic seizures and their management on patient-reported outcomes after stroke

OBJECTIVE

Acute symptomatic seizures (ASyS) after stroke are not uncommon. However, the impact of ASyS and its management with anti-seizure medications (ASMs) on patient-reported outcome measures (PROMs) remains poorly investigated. The objective of our study is to evaluate the association between PROMs and ASyS and ASMs following stroke.

METHODS

We performed a retrospective cohort study of all stroke patients who underwent inpatient continuous EEG (cEEG) monitoring performed due to suspected ASyS, including the ones with observed convulsive ASyS, from 04/01/2012 to 03/31/2018, who completed PROMs within 6 months of hospital discharge. Patient-reported outcome measures, including one Neuro-QoL and six PROMIS v1.0 domain scales, were completed by patients as the standard of care in ambulatory stroke clinics. Since ASMs are sometimes used without clearly diagnosed ASyS, we performed group comparisons based on ASM status at discharge, irrespective of their ASyS status. T-tests or Wilcoxon rank sum tests compared continuous variables across groups and chi-square tests or Fisher's exact tests were used for categorical variables.

RESULTS

A total of 508 patients were included in the study [mean age 62.0 ± 14.1 years, 51.6% female; 244 (48.0%) ischemic stroke, 165 (32.5%) intracerebral hemorrhage, and 99 (19.5%) subarachnoid hemorrhage]. A total of 190 (37.4%) patients were discharged on ASMs. At the time of the first PROM, conducted a median of 47 (IQR = 33-78) days after the suspected ASyS, and 162 (31.9%) were on ASMs. ASM use was significantly higher in patients diagnosed with ASyS. Physical Function and Satisfaction with Social Roles and Activities were the most affected health domains. Patient-reported outcome measures were not significantly different between groups based on ASyS (electrographic and/or convulsive), ASM use at hospital discharge, or ASM status on the day of PROM completion.

SIGNIFICANCE

There were no differences in multiple domain-specific PROMs in patients with recent stroke according to ASyS status or ASM use suggesting the possible lack of the former's sensitivity to detect their impact. Additional research is necessary to determine if there is a need for developing ASyS-specific PROMs.

Construction of nursing-sensitive quality indicators for epilepsy in China: A Delphi consensus study

OBJECTIVE

The quality and safety of epilepsy care are of great importance because seizures are unpredictable. The aim of this study was to develop a set of nursing-sensitive quality indicators (NSQIs) for assessing and improving the quality of epilepsy nursing care in China.

METHODS

An international literature review, a cross-sectional survey and a qualitative study were conducted to identify candidate NSQIs for epilepsy care and compile a questionnaire. Then, two rounds of electronic Delphi studies were conducted with a panel of 27 independent experts to identify the final NSQIs for epilepsy.

RESULTS

Thirty-nine candidate NSQIs were extracted for the Delphi process. The recovery rates in the first and second rounds of expert consultations were 92.6% and 96.2%, respectively. The experts' authority coefficients of the two rounds were 0.876 and 0.878, respectively. The Kendall W value of the two rounds ranged between 0.094 and 0.200 (p<0.001). Eight structure indicators, 9 process indicators and 7 outcome indicators that represented the following three domains were included in the set of NSQIs for epilepsy: nursing resource allocation, implementation of nursing care, and outcomes of patients with epilepsy.

CONCLUSION

These NSQIs for epilepsy provide a primary foundation for monitoring and improving the quality of epilepsy nursing care in China. However, the effects of these indicators on improvements in epilepsy care and outcomes in patients need to be verified in clinical practice.

Afraid to go out: Poor quality of life with phobic anxiety in a large cross-sectional adult epilepsy center sample

PURPOSE

People with epilepsy (PWE) have unmet healthcare needs, especially in the context of mental health. Although the current literature has established increased incidence of anxiety and depression in PWE and their contribution to poor quality of life, little is known regarding the presence and impact of specific phobia and agoraphobia. Our aim was to assess factors associated with high phobic/agoraphobic symptoms in a large, single tertiary epilepsy center sample, and to assess their impact on quality of life.

METHODS

In a diverse sample of 420 adults with epilepsy, cross-sectional association of demographic, epilepsy and cognitive factors with high phobic symptoms were assessed using multiple logistic regression. Symptoms were measured with the SCL-90R validated self-report subscale (T-score ≥ 60 considered high phobic symptom group). Multiple logistic regression modeling was used to assess for independent association of demographic and clinical variables with presence of high phobic symptoms, and multiple linear regression modeling was used to evaluate for independent cross-sectional associations with epilepsy-specific quality of life (QOLIE-89).

RESULTS

Lower education (adjusted OR 3.38), non-White race/ethnicity (adjusted OR 2.34), and generalized anxiety symptoms (adjusted OR 1.91) were independently associated with high phobic/agoraphobic symptoms, all p < 0.005. Phobic/agoraphobic symptoms were independently associated with poor quality of life as were depression symptoms, older age, and non-White race/ethnicity. Generalized anxiety did not demonstrate a significant independent association with quality of life in the multivariable model.

CONCLUSION

In this study sample, phobic/agoraphobic symptoms were independently associated with poor quality of life. Clinicians should consider using more global symptom screening instruments with particular attention to susceptible populations, as these impactful symptoms may be overlooked using generalized-anxiety focused screening paradigms.

Development of a core outcome set for quality of life for adults with drug-resistant epilepsy: A multistakeholder Delphi consensus study

OBJECTIVE

In 2017, the American Academy of Neurology (AAN) convened the AAN Quality Measurement Set working group to define the improvement and maintenance of quality of life (QOL) as a key outcome measure in epilepsy clinical practice. A core outcome set (COS), defined as an accepted, standardized set of outcomes that should be minimally measured and reported in an area of health care research and practice, has not previously been defined for QOL in adult epilepsy.

METHODS

A cross-sectional Delphi consensus study was employed to attain consensus from patients and caregivers on the QOL outcomes that should be minimally measured and reported in epilepsy clinical practice. Candidate items were compiled from QOL scales recommended by the AAN 2017 Quality Measurement Set. Inclusion criteria to participate in the Delphi study were adults with drug-resistant epilepsy diagnosed by a physician, no prior diagnosis of psychogenic nonepileptic seizures or a cognitive and/or developmental disability, or caregivers of patients meeting these criteria.

RESULTS

A total of 109 people satisfied inclusion/exclusion criteria and took part in Delphi Round 1 (patients, n = 95, 87.2%; caregivers, n = 14, 12.8%), and 55 people from Round 1 completed Round 2 (patients, n = 43, 78.2%; caregivers, n = 12, 21.8%). One hundred three people took part in the final consensus round. Consensus was attained by patients/caregivers on a set of 36 outcomes that should minimally be included in the QOL COS. Of these, 32 of the 36 outcomes (88.8%) pertained to areas outside of seizure frequency and severity.

SIGNIFICANCE

Using patient-centered Delphi methodology, this study defines the first COS for QOL measurement in clinical practice for adults with drug-resistant epilepsy. This set highlights the diversity of factors beyond seizure frequency and severity that impact QOL in epilepsy.

Epilepsy center characteristics and geographic region influence presurgical testing in the United States

OBJECTIVE

Persons with drug-resistant epilepsy may benefit from epilepsy surgery and should undergo presurgical testing to determine potential candidacy and appropriate intervention. Institutional expertise can influence use and availability of evaluations and epilepsy surgery candidacy. This census survey study aims to examine the influence of geographic region and other center characteristics on presurgical testing for medically intractable epilepsy.

METHODS

We analyzed annual report and supplemental survey data reported in 2020 from 206 adult epilepsy center directors and 136 pediatric epilepsy center directors in the United States. Test utilization data were compiled with annual center volumes, available resources, and US Census regional data. We used Wilcoxon rank-sum, Kruskal-Wallis, and chi-squared tests for univariate analysis of procedure utilization. Multivariable modeling was also performed to assign odds ratios (ORs) of significant variables.

RESULTS

The response rate was 100% with individual element missingness < 11% across 342 observations undergoing univariate analysis. A total of 278 complete observations were included in the multivariable models, and significant regional differences were present. For instance, compared to centers in the South, those in the Midwest used neuropsychological testing (OR = 2.87, 95% confidence interval [CI] = 1.2-6.86; p = .018) and fluorodeoxyglucose-positron emission tomography (OR = 2.74, 95% CI = = 1.14-6.61; p = .025) more commonly. For centers in the Northeast (OR = .46, 95% CI = .23-.93; p = .031) and West (OR = .41, 95% CI = .19-.87; p = .022), odds of performing single-photon emission computerized tomography were lower by nearly 50% compared to those in the South. Center accreditation level, demographics, volume, and resources were also associated with varying individual testing rates.

SIGNIFICANCE

Presurgical testing for drug-resistant epilepsy is influenced by US geographic region and other center characteristics. These findings have potential implications for comparing outcomes between US epilepsy centers and may inject disparities in access to surgical treatment.

Women With Epilepsy: Causes for Concern

Prevalence of Self-Reported Emotional, Physical, and Sexual Abuse and Association With Fear of Childbirth in Pregnant Women With Epilepsy: The Norwegian Mother, Father, and Child Cohort Study

Vederhus J, Husebye ESN, Eid K, Gilhus NE, Bjørk MH. Epilepsia. 2022;63(7):1822-1834. doi:10.1111/epi.17242

Objective:

This study was undertaken to examine the prevalence of self-reported experiences with abuse in pregnant women with epilepsy and the association between having experienced abuse and childbirth expectations, particularly the fear of childbirth.

Methods:

We performed a cross-sectional study of women with and without epilepsy enrolled in the Norwegian Mother, Father, and Child Cohort Study 1999–2008. Data on epilepsy diagnosis; antiseizure medication (ASM) use; emotional, physical, and sexual abuse; and childbirth expectations were collected from questionnaires completed during gestational Weeks 17–19 and 30.

Results:

Our study population included 295 women with ASM-treated epilepsy, 318 women with ASM-untreated epilepsy, and 93 949 women without epilepsy. A total of 115 women (47%) with ASM-treated and 132 women (57%) with ASM-untreated epilepsy reported any emotional, physical, or sexual abuse, compared to 25 100 women (32%) without epilepsy. The adjusted odds ratios (aORs) for having experienced any abuse were 1.8 (95% confidence interval [CI] = 1.4–2.3) and 1.8 (95% CI = 1.4–2.2) for ASM-treated and ASM-untreated epilepsy, respectively. A total of 29 women (11%) with ASM-treated and 34 women (11%) with ASM-untreated epilepsy reported having been raped, compared to 3088 women (4%) without epilepsy (aORs = 2.8 [95% CI = 1.8–4.1] and 2.9 [95% CI = 2.0–4.2], respectively). In nulliparous women with ASM-untreated epilepsy, having experienced abuse was associated with fear of childbirth; 22 women (31%) with abuse experiences reported fear of childbirth compared to five women (7%) with no experience of abuse (aOR = 5.4 [95% CI = 1.7–17.2]). This association was not seen in multiparous women or in women with ASM-treated epilepsy. Significance: More women with epilepsy reported emotional, physical, and sexual abuse than women without epilepsy. Such experiences may be associated with childbirth expectations.

Persistent Knowledge Gaps Between 2005 and 2020 in Women With Epilepsy: Comparison of Multicenter Studies From Germany

Mann C, Zinger E, Schmitz B, May T, Rosenow F, Pfäfflin M, Schulz J, Menzler K, Langenbruch L, Bierhansl L, Knake S, Hamacher M, Süß A, von Podewils F, Schubert-Bast S, Strzelczyk A. Seizure. 2022;100:36-43. doi:10.1016/j.seizure.2022.06.004

Objective:

Epilepsy is a chronic condition that can affect patients of all ages. Women with epilepsy (WWE) require access to specific counseling and information regarding issues related to contraception, pregnancy, and hormonal effects on seizure control and bone mineral density. This study investigated the knowledge among WWE regarding their condition, and whether epilepsy-specific knowledge has improved over the last 15 years.

Methods:

A total of 280 WWE aged 18 to 82 years participated in this multicenter, questionnaire-based study. The study was conducted at four epilepsy centers in Germany, between October 2020 and December 2020. Sociodemographic and epilepsy-specific data for participating women were analyzed and compared with the results of a similar survey performed in 2003–2005 among 365 WWE in Germany.

Results:

The questionnaire-based survey revealed considerable knowledge deficits without significant improvements over the last 15 years, particularly among those with less education and with regards to information on the more pronounced effects of epilepsy in older WWE (>50 years), including interactions with menopause and osteoporosis. In WWE ≤29 years, a significant increase in the knowledge score was observed in 2020 compared with this age group in 2005 (mean 7.42 vs. 6.5, p = .036). Mothers frequently reported epilepsy-related concerns regarding childrearing, particularly of seizures scaring their child and the need to rely on other people.

Conclusion:

WWE continue to demonstrate inadequate epilepsy-related knowledge. Despite increasing information availability and the aspiration toward better awareness among medical professionals, overall knowledge has not increased sufficiently compared with the levels observed in recent studies.

Patient-reported outcomes via electronic health record portal versus telephone: a pragmatic randomized pilot trial of anxiety or depression symptoms in epilepsy

Objective

To close gaps between research and clinical practice, tools are needed for efficient pragmatic trial recruitment and patient-reported outcome collection. The objective was to assess feasibility and process measures for patient-reported outcome collection in a randomized trial comparing electronic health record (EHR) patient portal questionnaires to telephone interview among adults with epilepsy and anxiety or depression symptoms.

Materials and Methods

Recruitment for the randomized trial began at an epilepsy clinic visit, with EHR-embedded validated anxiety and depression instruments, followed by automated EHR-based research screening consent and eligibility assessment. Fully eligible individuals later completed telephone consent, enrollment, and randomization. Participants were randomized 1:1 to EHR portal versus telephone outcome assessment, and patient-reported and process outcomes were collected at 3 and 6 months, with primary outcome 6-month retention in EHR arm (feasibility target: ≥11 participants retained).

Results

Participants (N = 30) were 60% women, 77% White/non-Hispanic, with mean age 42.5 years. Among 15 individuals randomized to EHR portal, 10 (67%, CI 41.7%-84.8%) met the 6-month retention endpoint, versus 100% (CI 79.6%-100%) in the telephone group (P = 0.04). EHR outcome collection at 6 months required 11.8 min less research staff time per participant than telephone (5.9, CI 3.3-7.7 vs 17.7, CI 14.1-20.2). Subsequent telephone contact after unsuccessful EHR attempts enabled near complete data collection and still saved staff time.

Discussion

In this randomized study, EHR portal outcome assessment did not meet the retention feasibility target, but EHR method saved research staff time compared to telephone.

Conclusion

While EHR portal outcome assessment was not feasible, hybrid EHR/telephone method was feasible and saved staff time.

Inpatient long-term video-electroencephalographic monitoring event capture audiovisual diagnostic quality

OBJECTIVES

Long-term video-electroencephalographic monitoring (LTVEM) represents the gold-standard method to evaluate whether events represent electrographic seizures, but limited work has evaluated the quality of inpatient event capture. We evaluated the frequency of audiovisual factors impairing the ideal electroclinical correlation of seizure-like episodes during LTVEM.

METHODS

We retrospectively reviewed consecutive inpatient LTVEM studies (11/2019-12/2019) from three academic epilepsy centers. We evaluated all pushbutton events for audiovisual characteristics such as whether the event was narrated, whether the patient was blocked on camera, and what diagnostic challenges impaired the electroencephalographer's ability to understand either the reason the event button was pushed or clinical semiology ("electroclinical correlation"). We determined the percent of events and studies with each outcome.

RESULTS

There were 154 studies with 520 pushbutton events. The pushbutton was most commonly activated by patients (41%), followed by nurses (31%) or family (17%). Twenty-nine percent of events represented electrographic seizures, and 78% occurred in the Epilepsy Monitoring Unit. The reason for the push was not stated in 45% of events, and inadequate narration impaired electroclinical correlation in 19% of events. At least one relevant part of the patient's body was blocked during 12% of events, but this impaired electroclinical correlation in only 1% of events. There was at least one factor impairing electroclinical correlation in 21% of events, most commonly due to incomplete narration (N = 99), lights off (N = 15), or blankets covering the patient (N = 15). At least one factor impaired electroclinical correlation for any event in 36% of studies.

CONCLUSION

Audiovisual factors impairing the electroencephalographer's ability to render an electroclinical correlation were common, particularly related to inadequate narration from bedside observers to explain the reason for pushing the button or event semiology. Future efforts to develop targeted countermeasures should address narration challenges and improve inpatient seizure monitoring quality metrics.

Differences in elective epilepsy monitoring unit admission rates by race/ethnicity and primary payer in New Jersey

Elective admission to the epilepsy monitoring unit (EMU) is an essential service provided by epilepsy centers, particularly for those with drug-resistant epilepsy. Given previously characterized racial and socioeconomic healthcare disparities in the management of epilepsy, we sought to understand access and utilization of this service in New Jersey (NJ). We examined epilepsy hospitalizations in NJ between 2014 and 2016 using state inpatient and emergency department (ED) databases. We stratified admissions by race/ethnicity and primary payer and used these to estimate and compare (1) admission rates per capita in NJ, as well as (2) admission rates per number of ED visits for each group. Patients without insurance underwent elective EMU admission at the lowest rates across all racial/ethnic groups and payer types studied. Black patients with Medicaid and private insurance were admitted at disproportionately low rates relative to their number of ED visits. Hispanic/Latino and Asian/Pacific Islanders with private insurance, Hispanic/Latinos with Medicaid, and Asian/Pacific Islanders with Medicare were also admitted at low rates per capita within each respective payer category. Future studies should focus on addressing causal factors driving healthcare disparities in epilepsy, particularly for patients without adequate health insurance coverage and those who have been historically underserved by the healthcare system.

Development of a natural language processing algorithm to extract seizure types and frequencies from the electronic health record

OBJECTIVE

To develop a natural language processing (NLP) algorithm to abstract seizure types and frequencies from electronic health records (EHR).

BACKGROUND

Seizure frequency measurement is an epilepsy quality metric. Yet, abstraction of seizure frequency from the EHR is laborious. We present an NLP algorithm to extract seizure data from unstructured text of clinic notes. Algorithm performance was assessed at two epilepsy centers.

METHODS

We developed a rules-based NLP algorithm to recognize terms related to seizures and frequency within the text of an outpatient encounter. Algorithm output (e.g. number of seizures of a particular type within a time interval) was compared to seizure data manually annotated by two expert reviewers ("gold standard"). The algorithm was developed from 150 clinic notes from institution #1 (development set), then tested on a separate set of 219 notes from institution #1 (internal test set) with 248 unique seizure frequency elements. The algorithm was separately applied to 100 notes from institution #2 (external test set) with 124 unique seizure frequency elements. Algorithm performance was measured by recall (sensitivity), precision (positive predictive value), and F1 score (geometric mean of precision and recall).

RESULTS

In the internal test set, the algorithm demonstrated 70% recall (173/248), 95% precision (173/182), and 0.82 F1 score compared to manual review. Algorithm performance in the external test set was lower with 22% recall (27/124), 73% precision (27/37), and 0.40 F1 score.

CONCLUSIONS

These results suggest NLP extraction of seizure types and frequencies is feasible, though not without challenges in generalizability for large-scale implementation.

A Multicenter Study of Adherence to Best Practices and Application of Epilepsy Quality Metrics in a Pediatric Telemedicine Encounter

Objective: To assess Epilepsy Quality Metrics (EQM) and guideline implementation in new pediatric patients seen in telemedicine. Methods: Multicenter, cross sectional, retrospective analysis. Results: Patients were similar across 3 centers for age, gender, and insurance type. Eighty-one percent presented for spells. One hundred sixty patients with epilepsy formed the EQM cohort. Results: Seizures described: 95%; frequency: 67%, last seizure documented: 81%, epilepsy syndrome documented: 67%; epilepsy diagnosis: 77%, medications reviewed: 56%, adverse events discussed: 73%. Quality of life discussed: 3%. Anticipatory guidance was described as follows: seizure safety, 57%; driving, 47%; SUDEP, 11%; vitamin D discussion, 19%; pregnancy and folic acid counseling, 4% and 10%. Epileptologists were 4 times as likely as generalists in discussing driving safety (odds ratio 3.93, 95% confidence interval 1.7-8.9; P = .001) for all ages. Significance: Performance on EQM and guideline implementation in pediatric epilepsy telemedicine encounters can be improved.

Suicide and Epilepsy

PURPOSE OF REVIEW

Epilepsy has a bidirectional association with suicidality, and epilepsy patients are at much higher risk for suicide than the general population. This article reviews the recent literature on suicide risk factors, assessments, and management as they pertain specifically to suicidality in people with epilepsy, a population that requires unique considerations.

RECENT FINDINGS

Risk factors for suicidality include younger age (independent of comorbid psychiatric disorders), poor social support, psychiatric comorbidity (depression, anxiety, obsessive-compulsive symptoms, and alcohol use), and epilepsy-related factors (more frequent seizures, temporal lobe epilepsy, and drug-resistant epilepsy). Most clinicians agree with the need for addressing suicidality; however, there is inconsistency in the approach to caring for these patients. An example neurology clinic-based approach is outlined. Although PWE are at risk for suicide and risk factors have been characterized, care gaps remain. Screening strategies may help close these gaps.

Aligning mission to digital health strategy in academic medical centers

The strategies of academic medical centers arise from core values and missions that aim to provide unmatched clinical care, patient experience, research, education, and training. These missions drive nearly all activities. They should also drive digital health activities - and particularly now given the rapid adoption of digital health, marking one of the great transformations of healthcare; increasing pressures on health systems to provide more cost-effective care; the pandemic-accelerated funding and rise of well-funded new entrants and technology giants that provide more convenient forms of care; and a more favorable regulatory and reimbursement landscape to incorporate digital health approaches. As academic medical centers emerge from a pandemic-related reactionary digital health posture, where pressures to adopt more digital health technologies mount, a broad digital health realignment that leverages the strengths of such centers is required to accomplish their missions.

Minimum clinically important difference (MCID) of the personal impact of epilepsy scale (PIES)

INTRODUCTION

The Personal Impact of Epilepsy Scale (PIES) assesses patient functional status in subscales of (1) seizure impact, (2) medication effects, (3) mood & social status, and (4) overall quality of life. This study was designed to determine the Minimal Clinically Important Change (MCID) in PIES subscale and total scores that demonstrate improvement.

METHODS

To ascertain the correspondence of PIES score change and clinical status change (improved, same, worse) in each PIES subscale and total score, we used two distinct retrospective anchor-based assessments of clinical status (patient self-assessment and trained rater assessment) across two clinic visits. Mean PIES scores were compared between clinical status groups, controlling for days between visits and initial clinical status. Personal Impact of Epilepsy Scale score change was quantified for each group to determine MCID. A small prospective proof-of-concept study was conducted in a separate subject group.

RESULTS

Patient self-report anchor analysis demonstrated lower (better) PIES scores in the "improved" group vs the "worse" group on the mood & social subscale (p < .001) and total score (p = .002), with a similar trend on the seizure subscale (p = 0.056). Clinical rater anchor analysis demonstrated lower PIES scores in the "improved" vs "worse" group in the mood & social subscale (p = .029) and a trend in total score (p = .082). For the "improved" group, the reduction in PIES scores between visits averaged across both anchor analyses was 8.14% for subscales and 8.67% for total score.

DISCUSSION/CONCLUSION

Reduction of 8% on a PIES subscale or total score indicates meaningful improvement in patient clinical status, and is designated the MCID for this instrument. Personal Impact of Epilepsy Scale can be useful in day-to-day clinical care and as an outcome metric in clinical research.