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• As compared to healthy adults, people with epilepsy are at risk for low health literacy, which is the ability to access, understand, and use health-related information. • Low health literacy in people with epilepsy is related to disrupted brain-behavior relationships, including cognition. • Low health literacy in people with epilepsy is associated with greater difficulties with self-care, independent of education and general literacy. Low health literacy is common among people with epilepsy (PWE) and may play an important role in disease management and outcomes. The current study evaluated whether health literacy is related to cognition, health, and everyday functioning in PWE. This cross-sectional, correlational study included 25 demographically comparable healthy adults retrospectively matched to a consecutive series of 89 PWE presenting for neuropsychological evaluation in a surgical setting and who completed the Newest Vital Sign and Brief Health Literacy Screener. The PWE also completed a comprehensive neuropsychological battery and measures of quality of life and everyday functioning. PWE had significantly lower health literacy as compared to healthy adults (p s < 0.05) at a medium-to-large effect size. In analyses covarying for education and oral word reading literacy in the PWE sample, lower health literacy was independently associated with bilateral seizure onsets, greater antiseizure medication burden, poorer performance on measures of memory and information processing speed, and difficulties with self-care (p s < 0.05). Findings suggest that PWE are at risk for low health literacy, which may be partly attributable to disrupted brain-behavior relationships and contribute to poorer everyday functioning. Future studies are needed to identify effective methods to support and improve health literacy in PWE. [ABSTRACT FROM AUTHOR]

• A video alone can help accurately classify spells as PNEE vs ES in children. • Videos are 74.5% accurate in differentiating ES from PNEE in children. • Additional clinical data improved specificity of diagnostic ratings of the videos. • Facial expressions, generalized stiffening, eye blinking/deviation are more likely seen in ES. • Nonepileptic videos may more likely show bilateral myoclonic jerking in children. Previous studies examined the use of video-based diagnosis and the predictive value of videos for differentiation of epileptic seizures (ES) from paroxysmal nonepileptic events (PNEE) in the adult population. However, there are no such published studies strictly on the pediatric population. Using video-EEG diagnosis as a gold standard, we aimed to determine the diagnostic predictive value of videos of habitual events with or without additional clinical data in differentiating the PNEE from ES in children. Consecutive admissions to our epilepsy monitoring unit between June 2020 and December 2020 were analyzed for events of interest. Four child neurologists blinded to the patient's diagnosis formulated a diagnostic impression based upon the review of the video alone and again after having access to basic clinical information, in addition to the video. Features of the video which helped to make a diagnosis were identified by the reviewers as a part of a survey. A total of 54 patients were included (ES n = 24, PNEE n = 30). Diagnostic accuracy was calculated for each reviewer and combined across all the ratings. Diagnostic accuracy by video alone was 74.5% (sensitivity 80.8%, specificity 66.7%). Providing reviewers with basic clinical information in addition to the videos significantly improved diagnostic accuracy compared to viewing the videos alone. Inter-rater reliability between four reviewers based on the video alone showed moderate agreement (κ = 0.51) and unchanged when additional clinical data were presented (κ = 0.51). The ES group was significantly more likely to demonstrate changes in facial expression, generalized stiffening, repetitive eye blinks, and eye deviation when compared with the PNEE group, which was more likely to display bilateral myoclonic jerking. Video review of habitual events by Child Neurologists may be helpful in reliably distinguishing ES from PNEE in children, even without included clinical information. [ABSTRACT FROM AUTHOR]

• Older age was associated with longer time to referral (TTR) to EMU. • Younger females with more service connection conditions had shorter TTR. • Diagnostic tests prior to EMU were associated with older age and proximity to VAMC. • Veterans Health Administration medical model provides equitable access to specialty epilepsy care for veterans. It is well established that sociodemographic and neighborhood determinants impact access to healthcare. Veterans with epilepsy (VWE) face unique challenges that may limit access to specialized epilepsy care, though institutional initiatives have aimed to minimize disparities. We assessed the extent to which surrogate markers of access to quality care in VWE were impacted by sociodemographic and neighborhood determinants. The sample included 180 VWE. Surrogate markers included time between initial diagnosis and admission to epilepsy monitoring unit (EMU) (time to referral, TTR), and the number of CT, MRI, and EEGs conducted prior to initial EMU evaluation. Sociodemographic and neighborhood determinants included age, sex, race, education, neighborhood advantage, rural status, distance from home to the nearest VAMC, and number of service connection (SC) conditions. Significant correlations across variables of interest were entered into a linear regression. Group differences between social factors were assessed for early and late TTR groups (based on 1st and 4th quartiles). The mean TTR was 12 years (SD ± 13.18). Longer TTR was correlated to older age (p < 0.001) and fewer SC conditions (p = 0.03). None of the other factors were significantly correlated to TTR. Older age significantly predicted longer TTR on regression. The earlier TTR group was younger, had more SC conditions, lived closer to a VAMC, and was more likely to be female. Greater geographic distance was correlated with fewer CT scans (p = 0.01). A greater number of MRIs was correlated with older age (p = 0.04). Younger age (p < 0.01) and greater education (p = 0.01) were correlated with more SC. Access to epilepsy care among VWE was largely unimpacted by social determinants, with the exception of older age leading to longer TTR. The TTR in VWE was considerably shorter than has been reported in the literature for civilian patients. The Veterans Health Administration model of care may harbor certain advantages in epilepsy treatment. [ABSTRACT FROM AUTHOR]

• Home videos are 88% accurate in differentiating epilepsy from nonepileptic events. • Videos were more successful at ruling out epilepsy (i.e., higher specificity) than NES. • Psychiatric and military history do not differentiate ES from NES in veterans. • Home video diagnosis can improve access and enable faster diagnosis in Veterans. • Veterans at rural locations may particularly benefit from home video diagnosis. Using video-EEG (v-EEG) diagnosis as a gold standard, we assessed the predictive diagnostic value of home videos of spells with or without additional limited demographic data in US veterans referred for evaluation of epilepsy. Veterans, in particular, stand to benefit from improved diagnostic tools given higher rates of PNES and limited accessibility to care. This was a prospective, blinded diagnostic accuracy study in adults conducted at the Houston VA Medical Center from 12/2015–06/2019. Patients with a definitive diagnosis of epileptic seizures (ES), psychogenic nonepileptic seizures (PNES), or physiologic nonepileptic events (PhysNEE) from v-EEG monitoring were asked to submit home videos. Four board-certified epileptologists blinded to the original diagnosis formulated a diagnostic impression based upon the home video review alone and video plus limited demographic data. Fifty patients (30 males; mean age 47.7 years) submitted home videos. Of these, 14 had ES, 33 had PNES, and three had PhysNEE diagnosed by v-EEG. The diagnostic accuracy by video alone was 88.0%, with a sensitivity of 83.9% and specificity of 89.6%. Providing raters with basic patient demographic information in addition to the home videos did not significantly improve diagnostic accuracy when comparing to reviewing the videos alone. Inter-rater agreement between four raters based on video was moderate with both videos alone (kappa = 0.59) and video plus limited demographic data (kappa = 0.60). This study demonstrated that home videos of paroxysmal events could be an important tool in reliably diagnosing ES vs. PNES in veterans referred for evaluation of epilepsy when interpreted by experts. A moderate inter-rater reliability was observed in this study. [ABSTRACT FROM AUTHOR]

• MMPI-2-RF differentiates psychogenic nonepileptic seizures from epileptic seizures. • RC1 (somatic complaints) predict PNES diagnosis for male veterans. • Findings hold true after careful accounting for profile invalidity. While psychogenic nonepileptic seizures (PNES) and epileptic seizures (ES) often present similarly, they are etiologically distinct, and correct diagnosis is essential for ensuring appropriate treatment and improving outcomes. The Minnesota Multiphasic Personality Inventory-2-RF (MMPI-2-RF) may assist in differential diagnosis, but prior investigations have been limited by disproportionately female samples, inconsistent accounting for profile invalidity, and limited intra-scale variability from dichotomizing variables. The current investigation addressed these gaps by assessing diagnostic utility of the MMPI-2-RF in differentiating PNES and ES in a male sample of veterans while conservatively accounting for profile invalidity and using a statistical approach that allows for consideration of continuous independent variables to better appreciate intra-scale variance. One hundred and forty-four veterans completed the MMPI-2-RF and were diagnosed with PNES (57.6%) or ES (42.4%) by a board-certified neurologist following continuous video-EEG monitoring. Participants with validity scores falling in the definitely or likely invalid ranges were excluded to ensure construct validity among clinical/substantive scales. Independent samples t -tests assessed differences in MMPI-2-RF variables by diagnostic groups. Hierarchical stepwise logistical regressions assessed predictive utility of MMPI-2-RF indices. A clinical calculator was derived from regression findings to help with diagnostic prediction. Males with PNES endorsed significantly higher scores on F-r, FBS-r, RBS, RC1, RC7, HPC, and NUC (medium to large effect sizes). The regression block that contained validity, restructured clinical (RC1), and substantive scales (GIC, SUI) had a hit rate of 75.69%, which was an improvement from the baseline model hit rate of 57.64%. Higher endorsement on RC1 and lower reporting on GIC significantly predicted PNES diagnosis for males. Minnesota Multiphasic Personality Inventory-2-RF improved diagnostic accuracy of PNES versus ES among male veterans, and RC1 (somatic complaints) emerged as a significant predictor for males with PNES, in line with hypotheses. Several clinical/substantive scales assisted with differential diagnosis after careful accounting for profile validity. Future studies can validate findings among males outside of veteran samples. [ABSTRACT FROM AUTHOR]