Dizziness in Primary Care.

Dizziness is a prevalent symptom in the general population and is among the most common reasons patients present for medical evaluations. This article focuses on high yield information to support primary clinicians in the efficient and effective evaluation and management of dizziness. Key points are as follows: do not anchor on the type of dizziness symptom, do use symptom timing and prior medical history to inform diagnostics probabilities, do evaluate for hallmark examination findings of vestibular disorders, and seek out opportunities to deliver evidence-based interventions particularly the canalith repositioning maneuver and gaze stabilization exercises.

Validation of Vascular Location Subcodes for Acute Ischemic Stroke by the International Classification of Diseases-10.

BACKGROUND: Vascular region of infarct is part of the International Classification of Diseases-10 (ICD-10) coding scheme for ischemic stroke. These data could potentially be used for studies about vascular location, such as comparisons of anterior versus posterior circulation stroke. The objective of this study was to evaluate the validity of these subcodes. METHODS: We selected a random sample of 100 hospitalizations specifying 50 with anterior circulation ICD-10 ischemic stroke (carotid, anterior cerebral artery [CA], middle CA) and 50 with posterior circulation stroke (vertebral, basilar, cerebellar, posterior CA). The gold standard primary vascular distribution was scored using imaging studies and reports, blinded to the subcode. We compared gold-standard distribution to coded distribution and calculated the operating characteristics of ICD-10 posterior circulation versus anterior circulation codes with the gold standard. We also calculated the kappa statistic for agreement across all 7 vascular regions. RESULTS: In our population of 100 strokes, mean NIHSS was 8 (SD, 8). Head CT was performed in 95 % (95/100) and MRI in 77 % (77/100). The gold standard classified 55 primary posterior circulation strokes (26 PCA, 16 cerebellar, 8 basilar, 5 vertebral), 44 primary anterior circulation strokes (35 MCA, 6 carotid, 3 ACA), and 1 stroke with no infarct on imaging. The accuracy of the ICD-10 classification for primary posterior circulation stroke versus anterior circulation/no infarct was: sensitivity 89 % (49/55); specificity 98 % (44/45); positive predictive value 98 % (49/50); negative predictive value 88 % (44/50). The reliability of the 7-region classification was excellent (kappa 0.85). CONCLUSIONS: We found that ICD-10 classification of vascular location in routine practice correlates strongly with gold-standard localization for hospitalized ischemic stroke and supports validity in differentiating posterior versus anterior circulation. At a more granular vascular level, the location reliability was excellent, although limited data were available for some subcodes.

Patient Travel Distance to Neurologist Visits.

BACKGROUND AND OBJECTIVES: The density of neurologists within a given geographic region varies greatly across the United States. We aimed to measure patient travel distance and travel time to neurologist visits, across neurologic conditions and subspecialties. Our secondary goal was to identify factors associated with long-distance travel for neurologic care. METHODS: We performed a cross-sectional analysis using a 2018 Medicare sample of patients with at least 1 outpatient neurologist visit. Long-distance travel was defined as driving distance ≥50 miles 1-way to the visit. Travel time was measured as driving time in minutes. Multilevel generalized linear mixed models with logistic link function, which accounted for clustering of patients within hospital referral region and allowed modeling of region-specific random effects, were used to determine the association of patient and regional characteristics with long-distance travel. RESULTS: We identified 563,216 Medicare beneficiaries with a neurologist visit in 2018. Of them, 96,213 (17%) traveled long distance for care. The median driving distance and time were 81.3 (interquartile range [IQR]: 59.9-144.2) miles and 90 (IQR: 69-149) minutes for patients with long-distance travel compared with 13.2 (IQR: 6.5-23) miles and 22 (IQR: 14-33) minutes for patients without long-distance travel. Comparing across neurologic conditions, long-distance travel was most common for nervous system cancer care (39.6%), amyotrophic lateral sclerosis [ALS] (32.1%), and MS (22.8%). Many factors were associated with long-distance travel, most notably low neurologist density (first quintile: OR 3.04 [95% CI 2.41-3.83] vs fifth quintile), rural setting (4.89 [4.79-4.99]), long-distance travel to primary care physician visit (3.6 [3.51-3.69]), and visits for ALS and nervous system cancer care (3.41 [3.14-3.69] and 5.27 [4.72-5.89], respectively). Nearly one-third of patients bypassed the nearest neurologist by 20+ miles, and 7.3% of patients crossed state lines for neurologist care. DISCUSSION: We found that nearly 1 in 5 Medicare beneficiaries who saw a neurologist traveled ≥50 miles 1-way for care, and travel burden was most common for lower-prevalence neurologic conditions that required coordinated multidisciplinary care. Important potentially addressable predictors of long-distance travel were low neurologist density and rural location, suggesting interventions to improve access to care such as telemedicine or neurologic subspecialist support to local neurologists. Future work should evaluate differences in clinical outcomes between patients with long-distance travel and those without.

Lecanemab: Looking Before We Leap.

Lecanemab, a novel amyloid-sequestering agent, recently received accelerated Food and Drug Administration approval for the treatment of mild dementia due to Alzheimer disease (AD) and mild cognitive impairment (MCI). Approval was based on a large phase 3 trial, Clarity, which demonstrated reductions in amyloid plaque burden and cognitive decline with lecanemab. Three major concerns should give us pause before adopting this medication: Its beneficial effects are small, its harms are substantial, and its potential costs are unprecedented. Although lecanemab has a clear and statistically significant effect on cognition, its effect size is small and may not be clinically significant. The magnitude of lecanemab's cognitive effect is smaller than independent estimates of the minimally important clinical difference, implying that the effect may be imperceptible to a majority of patients and caregivers. Lecanemab's cognitive effects were numerically smaller than the effect of cholinesterase inhibitors and may be much smaller. The main argument in lecanemab's favor is that it may lead to greater cognitive benefit over time. Although plausible, there is a lack of evidence to support this conclusion. Lecanemab's harms are substantial. In Clarity, it caused symptomatic brain edema in 11% and symptomatic intracranial bleeding in 0.5% of participants. These estimates likely significantly underestimate these risks in general practice for 3 reasons: (1) Lecanemab likely interacts with other medications that increase bleeding, an effect minimized in Clarity. (2) The Clarity population is much younger than the real-world population with mild AD dementia and MCI (age 71 years vs 85 years) and bleeding risk increases with age. (3) Bleeding rates in trials are typically much lower than in clinical practice. Lecanemab's costs are unprecedented. Its proposed price of $26,500 is based on cost-effectiveness analyses with tenuous assumptions. However, even if cost-effective, it is likely to result in higher expenditures than any other medication. If its entire target population were treated, the aggregate medication expenditures would be $120 billion US dollars per year-more than is currently spent on all medications in Medicare Part D. Before adopting lecanemab, we need to know that lecanemab is not less effective, vastly more harmful, and 100× more costly than donepezil.

Prescription Opioid Initiation for Neuropathy, Headache, and Low Back Pain: A US Population-based Medicare Study.

Neuropathy, headache, and low back pain (LBP) are common conditions requiring pain management. Yet little is known regarding whether access to specialists impacts opioid prescribing. We aimed to identify factors associated with opioid initiation among opioid-naïve older adults and evaluate how access to particular specialists impacts prescribing. This retrospective cohort study used a 20% Medicare sample from 2010 to 2017. Opioid initiation was defined as a first opioid prescription filled within 12 months after a diagnosis encounter. Disease-related opioid initiation was defined as a first opioid prescription filled within 7 days following a disease-specific claim. Logistic regression using generalized estimating equations was used to determine the association of patient demographics, provider types, and regional physician specialty density with disease-related opioid initiation, accounting for within-region correlation. We found opioid initiation steadily declined from 2010 to 2017 (neuropathy: 26-19%, headache: 31-20%, LBP: 45-32%), as did disease-related opioid initiation (4-3%, 12-7%, 29-19%) and 5 to 10% of initial disease-related prescriptions resulted in chronic opioid use within 12 months of initiation. Certain specialist visits were associated with a lower likelihood of disease-related opioid initiation compared with primary care. Residence in high neurologist density regions had a lower likelihood of disease-related opioid initiation (headache odds ratio [OR] .76 [95% CI: .63-.92]) and LBP (OR .7 [95% CI: .61-.81]) and high podiatrist density regions for neuropathy (OR .56 [95% CI: .41-.78]). We found that specialist visits and greater access to specialists were associated with a lower likelihood of disease-related opioid initiation. These data could inform strategies to perpetuate reductions in opioid use for these common pain conditions. PERSPECTIVE: This article presents how opioid initiation for opioid-naïve patients with newly diagnosed neuropathy, headache, and LBP varies across providers. Greater access to certain specialists decreased the likelihood of opioid initiation. Future work may consider interventions to support alternative treatments and better access to specialists in low-density regions.

Predictors of Glucocorticoid Use for Acute Optic Neuritis in the United States, 2005-2019.

PURPOSE: Acute optic neuritis (ON) is variably treated with glucocorticoids. We aimed to describe factors associated with glucocorticoid use. METHODS: In this retrospective, longitudinal cohort study of insured patients in the United States (2005-2019), adults 18-50 years old with one inpatient or ≥2 outpatient diagnoses of ON within 90 days were included. Glucocorticoid use was classified as none, any dose, and high-dose (>100 mg prednisone equivalent ≥1 days). The primary outcome was glucocorticoid receipt within 90 days of the first ON diagnosis. Multivariable logistic regression models assessed the relationship between glucocorticoid use and sociodemographics, comorbidities, clinician specialty, visit number, and year. RESULTS: Of 3026 people with ON, 65.8% were women (n = 1991), median age (interquartile range) was 38 years (31,44), and 68.6% were white (n = 2075). Glucocorticoids were received by 46% (n = 1385); 54.6% (n = 760/1385) of whom received high-dose. The odds of receiving glucocorticoids were higher among patients with multiple sclerosis (OR 1.61 [95%CI 1.28-2.04]; P < .001), MRI (OR 1.75 [95%CI 1.09-2.80]; P = .02), 3 (OR 1.80 [95%CI 1.46-2.22]; P < .001) or more (OR 4.08 [95%CI 3.37-4.95]; P < .001) outpatient ON visits, and in certain regions. Compared to ophthalmologists, patients diagnosed by neurologists (OR 1.36 [95%CI: 1.10-1.69], p = .005), emergency medicine (OR 3.97 [95%CI: 2.66-5.94]; P < .001) or inpatient clinicians (OR 2.94 [95%CI: 2.22-3.90]; P < .001) had higher odds of receiving glucocorticoids. Use increased 1.1% annually (P < .001). CONCLUSIONS: Demyelinating disease, care intensity, setting, region, and clinician type were associated with glucocorticoid use for ON. To optimize care, future studies should explore reasons for ON care variation, and patient/clinician preferences.

Trajectories in physical performance and fall prediction in older adults: A longitudinal population-based study.

BACKGROUND: A physical performance evaluation can inform fall risk in older people, however, the predictiveness of a one-time assessment is limited. The trajectory of physical performance over time has not been well characterized and might improve fall prediction. We aimed to characterize trajectories in physical performance and determine if fall prediction improves using trajectories of performance. METHODS: This was a cohort design using data from the National Health and Aging Trends Study. Physical performance was measured by the short physical performance battery (SPPB) with scores ranging from 0 (worst) to 12 (best). The trajectory of SPPB was categorized using latent class modeling and slope-based multilevel linear regression. We used Cox proportional hazards models with an outcome of time to ≥2 falls from annual self-report to assess predictiveness after adding SPPB trajectories to models of baseline SPPB and established non-physical-performance-based variables. RESULTS: The sample was 5969 community-dwelling Medicare beneficiaries aged ≥65 years. The median number of annual SPPB evaluations was 4 (IQR, 3-7). Mean baseline SPPB was 9.2 (SD, 3.0). The latent class model defined SPPB trajectories over a range of two to nineteen categories. The mean slope from the slope-based model was -0.01 SPPB points/year (SD, 0.14). Discrimination of the baseline SPPB model to predict time to ≥2 falls was fair (Harrell's C, 0.65) and increased after adding the non-performance-based predictors (Harrell's C, 0.70). Discrimination slightly improved with the SPPB trajectory category variable that had the best fit (Harrell's C, 0.71) but did not improve with the SPPB linear slope. Calibration with and without the trajectory categories was similar. CONCLUSIONS: We found that the trajectory of physical performance did not meaningfully improve upon fall prediction from a baseline physical performance assessment and established non-performance-based information. These results do not support longitudinal SPPB assessments for fall prediction.

Vestibular Sensory Conflict During Postural Control, Freezing of Gait, and Falls in Parkinson's Disease.

BACKGROUND: The vestibular system has been implicated in the pathophysiology of episodic motor impairments in Parkinson's disease (PD), but specific evidence remains lacking. OBJECTIVE: We investigated the relationship between the presence of freezing of gait and falls and postural failure during the performance on Romberg test condition 4 in patients with PD. METHODS: Modified Romberg sensory conflict test, fall, and freezing-of-gait assessments were performed in 92 patients with PD (70 males/22 females; mean age, 67.6 ± 7.4 years; Hoehn and Yahr stage, 2.4 ± 0.6; mean Montreal Cognitive Assessment, 26.4 ± 2.8). RESULTS: Failure during Romberg condition 4 was present in 33 patients (35.9%). Patients who failed the Romberg condition 4 were older and had more severe motor and cognitive impairments than those without. About 84.6% of all patients with freezing of gait had failure during Romberg condition 4, whereas 13.4% of patients with freezing of gait had normal performance (χ2  = 15.6; P < 0.0001). Multiple logistic regression analysis showed that the regressor effect of Romberg condition 4 test failure for the presence of freezing of gait (Wald χ2  = 5.0; P = 0.026) remained significant after accounting for the degree of severity of parkinsonian motor ratings (Wald χ2  = 6.2; P = 0.013), age (Wald χ2  = 0.3; P = 0.59), and cognition (Wald χ2  = 0.3; P = 0.75; total model: Wald χ2  = 16.1; P < 0.0001). Patients with PD who failed the Romberg condition 4 (45.5%) did not have a statistically significant difference in frequency of patients with falls compared with patients with PD without abnormal performance (30.5%; χ2  = 2.1; P = 0.15). CONCLUSIONS: The presence of deficient vestibular processing may have specific pathophysiological relevance for freezing of gait, but not falls, in PD. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Cholinergic brain network deficits associated with vestibular sensory conflict deficits in Parkinson's disease: correlation with postural and gait deficits.

To examine regional cerebral vesicular acetylcholine transporter (VAChT) ligand [18F]fluoroethoxybenzovesamicol ([18F]-FEOBV) PET binding in Parkinson' disease (PD) patients with and without vestibular sensory conflict deficits (VSCD). To examine associations between VSCD-associated cholinergic brain deficits and postural instability and gait difficulties (PIGD). PD persons (M70/F22; mean age 67.6 ± 7.4 years) completed clinical assessments for imbalance, falls, freezing of gait (FoG), modified Romberg sensory conflict testing, and underwent VAChT PET. Volumes of interest (VOI)-based analyses included detailed thalamic and cerebellar parcellations. VSCD-associated VAChT VOI selection used stepwise logistic regression analysis. Vesicular monoamine transporter type 2 (VMAT2) [11C]dihydrotetrabenazine (DTBZ) PET imaging was available in 54 patients. Analyses of covariance were performed to compare VSCD-associated cholinergic deficits between patients with and without PIGD motor features while accounting for confounders. PET sampling passed acceptance criteria in 73 patients. This data-driven analysis identified cholinergic deficits in five brain VOIs associating with the presence of VSCD: medial geniculate nucleus (MGN) (P < 0.0001), para-hippocampal gyrus (P = 0.0043), inferior nucleus of the pulvinar (P = 0.047), fusiform gyrus (P = 0.035) and the amygdala (P = 0.019). Composite VSCD-associated [18F]FEOBV-binding deficits in these 5 regions were significantly lower in patients with imbalance (- 8.3%, F = 6.5, P = 0.015; total model: F = 5.1, P = 0.0008), falls (- 6.9%, F = 4.9, P = 0.03; total model F = 4.7, P = 0.0015), and FoG (- 14.2%, F = 9.0, P = 0.0043; total model F = 5.8, P = 0.0003), independent of age, duration of disease, gender and nigrostriatal dopaminergic losses. Post hoc analysis using MGN VAChT binding as the single cholinergic VOI demonstrated similar significant associations with imbalance, falls and FoG. VSCD-associated cholinergic network changes localize to distinct structures involved in multi-sensory, in particular vestibular, and multimodal cognitive and motor integration brain regions. Relative clinical effects of VSCD-associated cholinergic network deficits were largest for FoG followed by postural imbalance and falls. The MGN was the most significant region identified.

Vascular vertigo and dizziness: Diagnostic criteria.

This paper presents diagnostic criteria for vascular vertigo and dizziness as formulated by the Committee for the Classification of Vestibular Disorders of the Bárány Society. The classification includes vertigo/dizziness due to stroke or transient ischemic attack as well as isolated labyrinthine infarction/hemorrhage, and vertebral artery compression syndrome. Vertigo and dizziness are among the most common symptoms of posterior circulation strokes. Vascular vertigo/dizziness may be acute and prolonged (≥24 hours) or transient (minutes to  < 24 hours). Vascular vertigo/dizziness should be considered in patients who present with acute vestibular symptoms and additional central neurological symptoms and signs, including central HINTS signs (normal head-impulse test, direction-changing gaze-evoked nystagmus, or pronounced skew deviation), particularly in the presence of vascular risk factors. Isolated labyrinthine infarction does not have a confirmatory test, but should be considered in individuals at increased risk of stroke and can be presumed in cases of acute unilateral vestibular loss if accompanied or followed within 30 days by an ischemic stroke in the anterior inferior cerebellar artery territory. For diagnosis of vertebral artery compression syndrome, typical symptoms and signs in combination with imaging or sonographic documentation of vascular compromise are required.

Artificial Intelligence and the Practice of Neurology in 2035: The Neurology Future Forecasting Series.

High-quality health care delivery relies on a complex orchestration of the flow of patient data. Incorporating advanced artificial intelligence (AI) technologies into this delivery system has tremendous potential to improve health care, but also carries with it unique challenges. The nature of neurologic disease, and the current state of neurologic care delivery, makes this area of medicine well positioned for AI-driven innovation by 2035. Business, ethics, regulation, and medical education will need to evolve in concert. The information technology and data standards requirements for this potential transformation are underappreciated and will be a major driver of changes across the industry. Using AI on patient data to drive health care innovation to improve patients' lives as the primary goal will facilitate widespread acceptance and adoption of the practices required for a successful AI transformation in neurology. In planning the incorporation of AI into clinical practice, the tenets of rigorous research will need to be vigilantly applied to prevent unwarranted costs and inconveniences while promoting meaningful health outcomes.

Patient Self-Management of Benign Paroxysmal Positional Vertigo: Instructional Video Development and Preliminary Evaluation of Behavioral Outcomes.

IMPORTANCE: Benign paroxysmal positional vertigo of the posterior canal (PC-BPPV) is a common disorder that is diagnosed using the Dix-Hallpike test (DHT) and treated with the canalith repositioning maneuver (CRM). Patients often seek out information about BPPV self-management, but studies to develop and evaluate patient-centered instructional resources are limited. OBJECTIVE: To develop and preliminarily evaluate a patient-oriented PC-BPPV self-management instructional video. METHODS: We assembled a multidisciplinary team and used an iterative process to develop a theory-based instructional video for self-performing the DHT and CRM. We recruited individuals searching online for information about dizziness to complete a survey and review the video. Patients rated the video by scoring seven questions that measure behavioral intent to perform the DHT or CRM (attitudes/acceptability, perceived self-efficacy, and social norms) using a 10-point scale (higher scores = more favorable ratings). A multilevel linear regression model was used to determine the association of age, sex, race, and education with video ratings. RESULTS: Of the 771 participants who completed the survey, 124 (16%) also reviewed and evaluated the PC-BPPV instructional video. The video review participants were typically more than or equal to 55 years old (70%; 93/124), women (70%; 87/124), and White (70%; 88/124). These participants also generally reported acute-subacute and moderate-to-severe dizziness, and 60% (75/124) reported typical BPPV triggers. The median scores for the seven questions about attitudes/acceptability, self-efficacy, and social norms on the PC-BPPV instructional video were all more than or equal to 9 out of 10 with interquartile ratios that ranged from 7 to 9 at the 25th percentile to 10 at the 75th percentile. Female sex was the only demographic variable associated with higher video ratings (coefficient, 1.21, 95% CI 0.60-1.83). CONCLUSION: This study found that participants rated the PC-BPPV self-management video favorably on measures that contribute to behavioral intent to perform the DHT or CRM. The findings provide support that the video is appropriate to use in future studies that evaluate patient self-performance accuracy and outcomes.

Coding and Reimbursement for Vestibular Tests by the U.S. Centers for Medicare and Medicaid Services (CMS).

Coding and insurance reimbursement is a part of the healthcare system in the United States but is subject to periodic modifications. In addition to changes in the evaluation and management (E/M) codes that took effect in 2021, there are some differences in coding for some diagnostic vestibular function test procedures. Two new codes for vestibular myogenic evoked potential testing were added and previous codes for auditory evoked potential codes 92585 and 92586, which some facilities had used to bill for vestibular myogenic evoked potential testing, have been eliminated. This article outlines the current state of coding and reimbursement by CMS for vestibular procedures.

Temporal Trends in Ischemic Stroke Rates by Ethnicity, Sex, and Age (2000-2017): The Brain Attack Surveillance in Corpus Christi Project.

OBJECTIVE: To compare 18-year (2000-2017) temporal trends in ischemic stroke rates by ethnicity, sex, and age. METHODS: Data are from a population-based stroke surveillance study conducted in Nueces County, Texas, a geographically isolated, biethnic, urban community. Active (screening hospital admission logs, hospital wards, intensive care units) and passive (screening inpatient/emergency department discharge diagnosis codes) surveillance were used to identify cases aged ≥45 (n = 4,875) validated by stroke physicians using a consistent stroke definition over time. Ischemic stroke rates were derived from Poisson regression using annual population counts from the US Census to estimate the at-risk population. RESULTS: In those aged 45-59 years, rates increased in non-Hispanic Whites (104.3% relative increase; p < 0.001) but decreased in Mexican Americans (-21.9%; p = 0.03) such that rates were significantly higher in non-Hispanic Whites in 2016-2017 (p for ethnicity-time interaction < 0.001). In those age 60-74, rates declined in both groups but more so in Mexican Americans (non-Hispanic Whites -18.2%, p = 0.05; Mexican Americans -40.1%, p = 0.002), resulting in similar rates for the 2 groups in 2016-2017 (p for ethnicity-time interaction = 0.06). In those aged ≥75, trends did not vary by ethnicity, with declines noted in both groups (non-Hispanic Whites -33.7%, p = 0.002; Mexican Americans -26.9%, p = 0.02). Decreases in rates were observed in men (age 60-74, -25.7%, p = 0.009; age ≥75, -39.2%, p = 0.002) and women (age 60-74, -34.3%, p = 0.007; age ≥75, -24.0%, p = 0.02) in the 2 older age groups, while rates did not change in either sex in those age 45-59. CONCLUSION: Previously documented ethnic stroke incidence disparities have ended as a result of declining rates in Mexican Americans and increasing rates in non-Hispanic Whites, most notably in midlife.

Episodic Positional Dizziness.

PURPOSE OF REVIEW: This article provides a summary of the evaluation and treatment of patients presenting with episodic positional dizziness. RECENT FINDINGS: Positional components are nearly ubiquitous among diagnoses of dizziness, so it can be challenging to classify patients with episodic positional dizziness simply based on the history of present illness. Overreliance on the presence of a report of positional components has likely resulted in misapplication or misinterpretation of positional testing and negative experiences with maneuvers to treat positional dizziness. The prototypical episodic positional dizziness disorder is benign paroxysmal positional vertigo (BPPV). BPPV is caused by free-floating particles in a semicircular canal that move in response to gravity. The diagnosis is made by identifying the characteristic patterns of nystagmus on the Dix-Hallpike test. Particle repositioning for BPPV is supported by randomized controlled trials, meta-analyses, and practice guidelines. Other disorders that can present with episodic positional dizziness are migraine dizziness, central lesions, and light cupula syndrome. SUMMARY: Episodic positional dizziness is a common presentation of dizziness. Neurologists should prioritize identifying and treating BPPV; doing so provides an important opportunity to deliver effective and efficient care. Providers should also recognize that positional components are common in most causes of dizziness and, therefore, should not over-rely on this part of the history of presentation when considering the diagnosis and management plan.

Tissue-Based Stroke Definition Impacts Stroke Incidence but not Ethnic Differences.

OBJECTIVES: We explored how the new, tissue-based stroke definition impacted incidence estimates, including an ethnic comparison, in a population-based study. METHODS: Stroke patients, May, 2014-May, 2016 in Nueces County, Texas were ascertained and validated using source documentation. Overall, ethnic-specific and age-specific Poisson regression models were used to compare first-ever ischemic stroke and intracerebral hemorrhage (ICH) incidence between old and new stroke definitions, adjusting for age, ethnicity, sex, and National Institutes of Health Stroke Scale score. RESULTS: Among 1308 subjects, 1245 (95%) were defined as stroke by the old definition and 63 additional cases (5%) according to the new. There were 12 cases of parenchymal hematoma (PH1 or PH2) that were reclassified from ischemic stroke to ICH. Overall, incidence of ischemic stroke was slightly higher under the new compared to the old definition (RR 1.07; 95% CI 0.99-1.16); similarly higher in both Mexican Americans (RR 1.06; 95% CI 1.00-1.12) and Non Hispanic whites (RR 1.09, 95% CI 0.97-1.22), p(ethnic difference)=0.36. Overall, incidence of ICH was higher under the new definition compared to old definition (RR 1.16; 95% CI 1.05-1.29), similarly higher among both Mexican Americans (RR 1.14; 95% CI 1.06-1.23) and Non Hispanic whites (RR 1.20, 95% CI 1.03-1.39), p(ethnic difference)=0.25. CONCLUSION: Modest increases in ischemic stroke and ICH incidence occurred using the new compared with old stroke definition. There were no differences between Mexican Americans and non Hispanic whites. These estimates provide stroke burden estimates for public health planning.

Geographic Variation in Neurologist Density and Neurologic Care in the United States.

OBJECTIVE: To describe geographic variation in neurologist density, neurologic conditions, and neurologist involvement in neurologic care. METHODS: We used 20% 2015 Medicare data to summarize variation by Hospital Referral Region (HRR). Neurologic care was defined as office-based evaluation/management visits with a primary diagnosis of a neurologic condition. RESULTS: Mean density of neurologists varied nearly 4-fold from the lowest to the highest density quintile (9.7 [95% confidence interval (CI) 9.2-10.2] vs 43.1 [95% CI 37.6-48.5] per 100,000 Medicare beneficiaries). The mean prevalence of patients with neurologic conditions did not substantially differ across neurologist density quintile regions (293 vs 311 per 1,000 beneficiaries in the lowest vs highest quintiles, respectively). Of patients with a neurologic condition, 23.5% were seen by a neurologist, ranging from 20.6% in the lowest quintile regions to 27.0% in the highest quintile regions (6.4% absolute difference). Most of the difference comprised dementia, pain, and stroke conditions seen by neurologists. In contrast, very little of the difference comprised Parkinson disease and multiple sclerosis, both of which had a very high proportion (>80%) of neurologist involvement even in the lowest quintile regions. CONCLUSIONS: The supply of neurologists varies substantially by region, but the prevalence of neurologic conditions does not. As neurologist supply increases, access to neurologist care for certain neurologic conditions (dementia, pain, and stroke) increases much more than for others (Parkinson disease and multiple sclerosis). These data provide insight for policy makers when considering strategies in matching the demand for neurologic care with the appropriate supply of neurologists.

Increasing Out-of-Pocket Costs for Neurologic Care for Privately Insured Patients.

OBJECTIVE: To measure the out-of-pocket (OOP) costs of evaluation and management (E/M) services and common diagnostic testing for neurology patients. METHODS: Using a large, privately insured health care claims database, we identified patients with a neurologic visit or diagnostic test from 2001 to 2016 and assessed inflation-adjusted OOP costs for E/M visits, neuroimaging, and neurophysiologic testing. For each diagnostic service each year, we estimated the proportion of patients with OOP costs, the mean OOP cost, and the proportion of the total service cost paid OOP. We modeled OOP cost as a function of patient and insurance factors. RESULTS: We identified 3,724,342 patients. The most frequent neurologic services were E/M visits (78.5%), EMG/nerve conduction studies (NCS) (7.7%), MRIs (5.3%), and EEGs (4.5%). Annually, 86.5%-95.2% of patients paid OOP costs for E/M visits and 23.1%-69.5% for diagnostic tests. For patients paying any OOP cost, the mean OOP cost increased over time, most substantially for EEG, MRI, and E/M. OOP costs varied considerably; for an MRI in 2016, the 50th percentile paid $103.10 and the 95th percentile paid $875.40. The proportion of total service cost paid OOP increased. High deductible health plan (HDHP) enrollment was associated with higher OOP costs for MRI, EMG/NCS, and EEG. CONCLUSION: An increasing number of patients pay OOP for neurologic diagnostic services. These costs are rising and vary greatly across patients and tests. The cost sharing burden is particularly high for the growing population with HDHPs. In this setting, neurologic evaluation might result in financial hardship for patients.

Primary care providers perform more neurologic visits than neurologists among Medicare beneficiaries.

RATIONALE, AIMS AND OBJECTIVES: Little is known about which medical providers, other than neurologists, are involved in the care of neurologic conditions. We aimed to describe the current distribution of outpatient neurologic care by provider type. METHODS: We conducted a restrospective, cross-sectional analysis using a 20% national sample claims database that contains information on medical care utilizations from adult Fee-for-Service Medicare beneficiaries in 2015. We identified patient visits for evaluation and management services for common neurologic conditions and by medical provider type. The main outcome was the proportion of visits for neurologic conditions by medical provider type, both in aggregate and across neurologic conditions. RESULTS: 40% of neurologic visits were performed by primary care providers (PCPs) and 17.5% by neurologists. The most common neurologic conditions were back pain (49.3%), sleep disorders (8.0%), chronic pain/abnormality of gait (6.4%), peripheral neuropathy (5.9%), and stroke (5.5%). Neurologists cared for a large proportion of visits for Parkinson's disease (75.6% vs 20.8%), epilepsy (70.9% vs 26.6%), multiple sclerosis (63.9% vs 26.2%), other central NS disorders (54.2% vs 24.9%), and tremor/RLS/ALS (54.0% vs 31.2%) compared to PCPs. PCPs provided a greater proportion of visits for dizziness/vertigo (57.8% vs 9.3%) and headache/migraine (50.4% vs 35.0%) compared to neurologists. CONCLUSIONS: PCPs perform more neurologic visits than neurologists. With the anticipated increased demand for neurologic care, strategies to optimize neurologic care delivery could consider expanding access to neurologists as well as supporting PCP care for neurologic conditions.

Regional Variation in Billed Advance Care Planning Visits.

BACKGROUND/OBJECTIVE: Advance care planning (ACP) is associated with improved patient and caregiver outcomes, but is underutilized. To encourage ACP, the Centers for Medicare & Medicaid Services implemented specific ACP visit reimbursement codes in 2016. To better understand the utilization of these ACP reimbursement codes, we explored regional variation in billed ACP visits. DESIGN: We performed a retrospective cross-sectional analysis using a randomly sampled 5% cohort of Medicare fee-for-service (FFS) beneficiaries' claims files from 2017. Region was defined by hospital referral region. SETTING: National Medicare FFS. PARTICIPANTS: A total of 1.3 million Medicare beneficiaries aged 65 years and older. MEASUREMENT: Receipt of billed ACP service, identified through Current Procedural Terminology code 99497 or 99498. Proportion of beneficiaries who received billed ACP service(s) by region was calculated. We fit a multilevel logistic regression model with a random regional intercept to determine the variation in billed ACP visits attributable to the region after accounting for patient (demographics, comorbidities, and medical care utilization) and regional factors (hospital size, emergency department visits, hospice utilization, and costs). RESULTS: The study population included about 1.3 million beneficiaries, of which 32,137 (2.4%) had at least one billed ACP visit in 2017. There was substantial regional variation in the percentage of beneficiaries with billed ACP visits: lowest quintile region, less than 0.83%; subsequent regions, less than 1.6%, less than 2.4%, less than 3.3% to less than 8.4% in the highest quintile regions. A total of 15.4% of the variance in whether an older adult had a billed ACP visit was explained by the region. Although numerous regional factors were associated with billed ACP visits, none were strong predictors. CONCLUSION: In 2017, we found wide regional variation in the use of billed ACP visits, although use overall was low in all regions. Increasing the understanding of the drivers and the effects of billed ACP visits could inform strategies for increasing ACP.