A Shortage of Neurologists - We Must Act Now: A Report From the AAN 2019 Transforming Leaders Program

Using a mixed-reality headset to elicit and track clinically relevant movement in the clinic

BACKGROUND

21st century neurology will require scalable and quantitative tools that can improve neurologic evaluations over telehealth and expand access to care. Commercially available mixed-reality headsets allow for simultaneous presentation of stimuli via holograms projected into the real world and objective and quantitative measurement of hand movement, eye movement, and phonation.

NEW METHOD

We created 6 tasks designed to mimic standard neurologic assessments and administered them to a single participant via the Microsoft HoloLens 2 mixed-reality headset. The tasks assessed postural hand tremor, finger tapping, pronation and supination of hands, hand and eye tracking of a center-out task, hand and eye tracking of a random motion task, and vocal assessment.

RESULTS

We show the utility of the HoloLens for commonly used neurological exams. First, we demonstrate that headset-derived holograms can project hand movements and objects in 3D space, providing a method to accurately and reproducibly present test stimuli to reduce test-test variability. Second, we found that participant hand movements closely matched holographic stimuli using a variety of metrics calculated on recorded movement data. Third, we showed that the HoloLens can record and playback exam tasks for visual inspection, sharing with other medical providers, and future analysis. Fourth, we showed that vocal recordings and analysis could be used to profile vocal characteristics over time. Together, this demonstrates the versatility of mixed reality headsets and possible applications for neurological assessment.

CONCLUSIONS

Administering components of the neurologic exam via a self-contained and commercially available mixed-reality headset has numerous benefits including detailed kinematic quantification, reproducible stimuli presentation from test to test, and can be self-administered expanding access to neurological care and saving hospital time and money.

Who Do I Call?: Newer Models of Neurologic Care Delivery in a Resource-Limited Age?

The demand for neurologic consultation has continued to outpace the number of neurologists available to complete in-person evaluations. As a result, different modalities have been employed to address this ever-growing need. Some of these solutions utilize communication between the referring provider and specialist via telephone consultations or electronic consultations, while others continue to utilize face-to-face interactions, either virtually with video visits, or with traditional in-person evaluations. This article outlines some of the advantages and disadvantages of each format while also providing a few examples of questions that may be answered with each type of consult.

Palliative care for stroke patients: Meeting the Quadruple Aim

BACKGROUND

Stroke patients present health care systems with complex clinical and care needs with high costs of care. Prior to 2022, Corewell Health lacked the palliative care infrastructure to reach and serve the diverse needs of this patient population. Corewell Health-West (CH-W) sought to improve end-of-life care for individuals with serious illness.

OBJECTIVES

To evaluate the extent to which changes in palliative care practices led to improvements in patient outcomes and cost of care.

METHODS

We conducted a retrospective review of palliative care referrals after hospitalization with primary diagnosis of stroke in the CH-W system from 2021 to 2023. Descriptive analysis was utilized to assess the impact and outcomes for patients pre- and post- system improvements.

RESULTS

The emergency department piloted consults directly to palliative which increased from six to seventy-four over a month's time. Stroke patients preferred in-home treatments such as Home Hospice. Fewer patients enrolled in inpatient treatment, such as skilled nursing facilities and inpatient rehab facilities, whose enrollment dropped from 25 % to 11.3 % and 18.3 % to 9.7 % respectively, from 2021 to 2023. Stroke patients enrolled in palliative care experienced lower utilization and costs.

CONCLUSIONS

After expanding resources and standardizing the referral and criteria process to palliative care, an increase in palliative care utilization was observed. This effort expanded care dispositions for palliative care services, allowing individuals more opportunities to receive palliative care treatment at home rather than inpatient.

Novel Post-Neurointensive Care Recovery Clinic: Design, Utilization, and Clinician Perspectives

Background and Objectives

Despite increasing interest in post-intensive care unit (ICU) clinical care and management, there have been limited descriptions focused on the post-neurologic (neuro)-ICU population. Here, we describe the design of a post-neuro-ICU Neurorecovery Clinic (NRC) and present data collected regarding the clinic's population, referrals, visits, and clinician satisfaction.

Methods

This is a single-institution experience with a NRC designed to provide an infrastructure for post-ICU care to patients recovering from acute neurologic disorders or systemic conditions with neurologic sequelae. The clinic offers 2 visit types with different frequencies: a weekly visit and a monthly multidisciplinary visit. This study assessed clinical utilization and clinician perspectives regarding the clinic. Data on clinic referrals, no-show frequency, visit types, and diagnoses for both weekly and monthly visits were collected. A survey was conducted to assess clinician satisfaction and perspectives. Qualitative thematic analysis was performed to identify major themes among survey free responses.

Results

In a 2-year period, 225 patients were referred from the Massachusetts General Hospital neuro-ICU to the NRC. Of those, 105 (47%) were seen in clinic for at least one visit. The most common reasons for loss to follow-up were no shows (38%) and noncontracted insurance (21%). Twenty percent of visits were in-person (the rest were by telehealth). Forty-eight percent were new patients compared with return visits. The most common diagnoses were other (36%), ischemic stroke (26%), and traumatic brain injury (17%). An additional monthly multidisciplinary clinic has seen 14 patients with one no show. Clinicians found their experience in the NRC valuable. Identified benefits included interdisciplinary collaboration, being a more well-rounded and better clinician, improving effectiveness in managing post-ICU problems, and influencing ICU prognosis. Clinicians' greatest challenge was navigating resource limitations for patients.

Discussion

A postneuro-ICU NRC is a feasible model of care delivery for patients after severe acute neurologic disorders. Patients with a broad variety of diagnoses were seen in a 2-year period. Providers valued their clinic time and experiences. Future studies should evaluate whether this model of care improves patients' postneuro-ICU outcomes.

Advancing Neurocritical Care with Artificial Intelligence and Machine Learning: The Promise, Practicalities, and Pitfalls ahead

Expansion of artificial intelligence (AI) in the field of medicine is changing the paradigm of clinical practice at a rapid pace. Incorporation of AI in medicine offers new tools as well as challenges, and physicians and learners need to adapt to assimilate AI into practice and education. AI can expedite early diagnosis and intervention with real-time multimodal monitoring. AI assistants can decrease the clerical burden of heath care improving the productivity of work force while mitigating burnout. There are still no regulatory parameters for use of AI and regulatory framework is needed for the implementation of AI systems in medicine to ensure transparency, accountability, and equitable access.

myAURA: a personalized health library for epilepsy management via knowledge graph sparsification and visualization

OBJECTIVES

Report the development of the patient-centered myAURA application and suite of methods designed to aid epilepsy patients, caregivers, and clinicians in making decisions about self-management and care.

MATERIALS AND METHODS

myAURA rests on an unprecedented collection of epilepsy-relevant heterogeneous data resources, such as biomedical databases, social media, and electronic health records (EHRs). We use a patient-centered biomedical dictionary to link the collected data in a multilayer knowledge graph (KG) computed with a generalizable, open-source methodology.

RESULTS

Our approach is based on a novel network sparsification method that uses the metric backbone of weighted graphs to discover important edges for inference, recommendation, and visualization. We demonstrate by studying drug-drug interaction from EHRs, extracting epilepsy-focused digital cohorts from social media, and generating a multilayer KG visualization. We also present our patient-centered design and pilot-testing of myAURA, including its user interface.

DISCUSSION

The ability to search and explore myAURA's heterogeneous data sources in a single, sparsified, multilayer KG is highly useful for a range of epilepsy studies and stakeholder support.

CONCLUSION

Our stakeholder-driven, scalable approach to integrating traditional and nontraditional data sources enables both clinical discovery and data-powered patient self-management in epilepsy and can be generalized to other chronic conditions.

Health Care Providers' Attitudes and Knowledge Related to Tic Disorder Identification and Treatment

OBJECTIVE

Our study assessed child-serving health care providers' attitudes and knowledge related to identification and treatment of tic disorders including Tourette syndrome (TS), among children.

METHODS

We analyzed cross-sectional data from the 2022 Fall DocStyles, a web-based survey of health care providers. The analytic sample included 1058 child-serving providers (403 family practitioners, 232 internists, 251 pediatricians, and 172 nurse practitioners or physician assistants). We calculated point prevalence estimates and 95% confidence intervals and used χ2 tests to statistically test differences by provider type and metro status of practice setting.

RESULTS

Less than two-thirds of providers (62.4%) considered evaluation of tics as their role, less than half (40.8%) considered diagnosis of tic disorders their role, and around one-fourth considered treatment of patients with tic disorders to be their role (27.3%). Lack of knowledge of tics/TS and lack of comfort evaluating patients for tics and tic disorders were the most often reported barriers to identification and diagnosis for most provider types, and across practice metro status categories. Online training was the most preferred source of information about tics and tic disorders overall and for each provider type.

CONCLUSION

These findings support previous reports indicating challenges in health care provider comfort and knowledge in identifying and diagnosing tic disorders, and the need for more education opportunities around evaluation and diagnosis. Communication and training to support the needs of child-serving providers could improve the access to care for children with tics and tic disorders.

Health Care Utilization Patterns Associated with eConsults for Headache: Insights from an Urban Academic Medical Center

Introduction: Interprofessional electronic consultations (eConsults) can reduce health care utilization and improve access to specialty care. However, health care utilization and access impacts of eConsults for headache disorders remain incompletely characterized. Methods: We conducted a retrospective, 1:3-matched cohort study comparing patients referred for in-person headache evaluations to patients who had a headache-related eConsult. The cohorts were propensity score-matched by age, sex, race, preferred language, provider specialty, insurance status, and medical comorbidities. Our primary outcome was the presence of one or more headache-related ambulatory encounters in the 12 months following the index referral date. We used univariable and conditional logistic regression models to ascertain the associations between referral type and outcome. Results: We identified 74 and 222 patients with eConsult and in-person referrals, respectively. Over the follow-up period, the proportion of patients with the primary outcome was significantly greater in the eConsult cohort than the in-person cohort (46.0% vs. 43.2%, p < 0.0001). A greater proportion of the in-person cohort had one or more ambulatory headache encounters in the 12 months preceding their referral than the eConsult cohort (10.8% vs. 5.4%, p < 0.0001). In the adjusted analysis, eConsult usage was not associated with significantly increased odds of the primary outcome (adjusted odds ratio [aOR] 1.1, 95% confidence interval [CI] 0.6-2.0, p = 0.71), although patients with one or more ambulatory neurology encounters in the preceding 12 months had significantly increased odds of the primary outcome (aOR 3.1, 95% CI 1.2-7.9, p = 0.015). Conclusion: Compared to in-person referrals, eConsult use for headache was not associated with significantly increased odds of having subsequent ambulatory headache-related encounters.

Using Design Thinking to Understand the Reason for Headache Referrals and Reduce Referral Rates

Background

The demand for neurology services exceeds the current supply. We convened multiple stakeholders to learn what drives our primary care providers (PCPs) to refer patients with headache to our neurology practice. This information guided a collaborative effort to evaluate the impact of an electronic health record (EHR) headache tool on care delivery in our PCP clinics.

Recent Findings

Neurology referrals and MRI ordering declined by 77% and 35%, respectively, after the release of the EHR tool for an estimated savings of $207,600 over 3 months. PCPs prescribing habits minimally changed.

Implications for Practice

Electronically embedding a neurologist's knowledge in our PCP office was an effective way to shape the demand for headache consultation. By further leveraging stakeholder collaboration, we plan to improve the tool and disseminate it across our health system to reduce headache burden and health care costs.

Integrating Big Data, Artificial Intelligence, and motion analysis for emerging precision medicine applications in Parkinson's Disease

One of the key challenges in Big Data for clinical research and healthcare is how to integrate new sources of data, whose relation to disease processes are often not well understood, with multiple classical clinical measurements that have been used by clinicians for years to describe disease processes and interpret therapeutic outcomes. Without such integration, even the most promising data from emerging technologies may have limited, if any, clinical utility. This paper presents an approach to address this challenge, illustrated through an example in Parkinson's Disease (PD) management. We show how data from various sensing sources can be integrated with traditional clinical measurements used in PD; furthermore, we show how leveraging Big Data frameworks, augmented by Artificial Intelligence (AI) algorithms, can distinctively enrich the data resources available to clinicians. We showcase the potential of this approach in a cohort of 50 PD patients who underwent both evaluations with an Integrated Motion Analysis Suite (IMAS) composed of a battery of multimodal, portable, and wearable sensors and traditional Unified Parkinson's Disease Rating Scale (UPDRS)-III evaluations. Through techniques including Principal Component Analysis (PCA), elastic net regression, and clustering analysis we demonstrate how this combined approach can be used to improve clinical motor assessments and to develop personalized treatments. The scalability of our approach enables systematic data generation and analysis on increasingly larger datasets, confirming the integration potential of IMAS, whose use in PD assessments is validated herein, within Big Data paradigms. Compared to existing approaches, our solution offers a more comprehensive, multi-dimensional view of patient data, enabling deeper clinical insights and greater potential for personalized treatment strategies. Additionally, we show how IMAS can be integrated into established clinical practices, facilitating its adoption in routine care and complementing emerging methods, for instance, non-invasive brain stimulation. Future work will aim to augment our data repositories with additional clinical data, such as imaging and biospecimen data, to further broaden and enhance these foundational methodologies, leveraging the full potential of Big Data and AI.

What the trained eye cannot see: Quantitative kinematics and machine learning detect movement deficits in early-stage Parkinson's disease from videos

BACKGROUND

Evaluation of disease severity in Parkinson's disease (PD) relies on motor symptoms quantification. However, during early-stage PD, these symptoms are subtle and difficult to quantify by experts, which might result in delayed diagnosis and suboptimal disease management.

OBJECTIVE

To evaluate the use of videos and machine learning (ML) for automatic quantification of motor symptoms in early-stage PD.

METHODS

We analyzed videos of three movement tasks-Finger Tapping, Hand Movement, and Leg Agility- from 26 aged-matched healthy controls and 31 early-stage PD patients. Utilizing ML algorithms for pose estimation we extracted kinematic features from these videos and trained three classification models based on left and right-side movements, and right/left symmetry. The models were trained to differentiate healthy controls from early-stage PD from videos.

RESULTS

Combining left side, right side, and symmetry features resulted in a PD detection accuracy of 79 % from Finger Tap videos, 75 % from Hand Movement videos, 79 % from Leg Agility videos, and 86 % when combining the three tasks using a soft voting approach. In contrast, the classification accuracy varied between 40 % and 72 % when the movement side or symmetry were not considered.

CONCLUSIONS

Our methodology effectively differentiated between early-stage PD and healthy controls using videos of standardized motor tasks by integrating kinematic analyses of left-side, right-side, and bilateral symmetry movements. These results demonstrate that ML can detect movement deficits in early-stage PD from videos. This technology is easy-to-use, highly scalable, and has the potential to improve the management and quantification of motor symptoms in early-stage PD.

The Current State of Pediatric Functional Neurological Disorder Treatment in the United States

BACKGROUND

Pediatric functional neurological disorders (FNDs) are common but grossly under-researched. This survey study aims to define the current landscape of pediatric FND treatment in the United States, identifying treatment programs, care team composition, treatment approaches, and aftercare management.

METHODS

The Functional Neurological Disorder Society (FNDS) Pediatric Special Interest Group (SIG), a diverse set of clinician and caregiver stakeholders, collected information on available treatment programs in the United States via survey. Current programs were identified through the FNDS Pediatric SIG and FND Hope's provider registry.

RESULTS

Thirty-nine care team members from 24 health care centers yielded 31 unique FND treatment settings. Centers existed in 16 states, concentrated in the Midwest and Southern regions. Outpatient settings (62%) were more prevalent than inpatient. A psychologist (PhD/PsyD) was the most common clinician (52%) with dedicated time to treat FNDs. Most settings accepted ages six to 21 (55%) and treated all FND symptoms (77%). A spectrum of treatment approaches was endorsed with the most common being cognitive behavioral therapy (77%) and personalized approaches (58%). A biopsychosocial approach was evident, with most settings reporting active involvement with school (97%) and caregivers (94%). Most settings (74%) encouraged treatment re-engagement when needed with no strict time limits. All respondents provided aftercare recommendations or referrals.

CONCLUSIONS

Pediatric FND treatment is available across the United States, but there is high variability in care team membership, treatment approach, and aftercare management. Future research is necessary to develop effective and sustainable treatment to improve access for this population.

Digital Clock and Recall: a digital, process-driven evolution of the Mini-Cog

Introduction

Alzheimer's disease and related dementias (ADRD) represent a substantial global public health challenge with multifaceted impacts on individuals, families, and healthcare systems. Brief cognitive screening tools such as the Mini-Cog© can help improve recognition of ADRD in clinical practice, but widespread adoption continues to lag. We compared the Digital Clock and Recall (DCR), a next-generation process-driven adaptation of the Mini-Cog, with the original paper-and-pencil version in a well-characterized clinical trial sample.

Methods

DCR was administered to 828 participants in the Bio-Hermes-001 clinical trial (age median ± SD = 72 ± 6.7, IQR = 11; 58% female) independently classified as cognitively unimpaired (n = 364) or as having mild cognitive impairment (MCI, n = 274) or dementia likely due to AD (DLAD, n = 190). MCI and DLAD cohorts were combined into a single impaired group for analysis. Two experienced neuropsychologists rated verbal recall accuracy and digitally drawn clocks using the original Mini-Cog scoring rules. Inter-rater reliability of Mini-Cog scores was computed for a subset of the data (n = 508) and concordance between Mini-Cog rule-based and DCR scoring was calculated.

Results

Inter-rater reliability of Mini-Cog scoring was good to excellent, but Rater 2's scores were significantly higher than Rater 1's due to variation in clock scores (p < 0.0001). Mini-Cog and DCR scores were significantly correlated (τ B = 0.71, p < 0.0001). However, using a Mini-Cog cut score of 4, the DCR identified more cases of cognitive impairment (n = 47; χ 2 = 13.26, p < 0.0005) and Mini-Cog missed significantly more cases of cognitive impairment (n = 87). In addition, the DCR correctly classified significantly more cognitively impaired cases missed by the Mini-Cog (n = 44) than vice versa (n = 4; χ 2 = 21.69, p < 0.0001).

Discussion

Our findings demonstrate higher sensitivity of the DCR, an automated, process-driven, and process-based digital adaptation of the Mini-Cog. Digital metrics capture clock drawing dynamics and increase detection of diagnosed cognitive impairment in a clinical trial cohort of older individuals.

Global impact of a virtual neurology morning report

The global shortage and inequitable distribution of neurologists has led to significant gaps not only in neurology care, but also in neurology education. In order to increase access to neurology education, we developed neurology virtual morning report (NVMR), a virtual, open-access, case-based clinical reasoning conference available to learners worldwide. To evaluate NVMR's impact on participants' perception of, interest in, and confidence in neurology, we conducted a survey. Respondents represented 25 different countries of various income levels. The majority of respondents reported that NVMR decreased their perception of difficulty in understanding neurology and increased confidence in various clinical reasoning domains in neurology. Additionally, the majority of medical student participants showed an increased interest in pursuing neurology as a future specialty after participating in NVMR. NVMR represents a potential model for virtual educational conferences and highlights the opportunities digital education has to improve equitable access to neurology education.

Subspecialty Health Care Utilization in Pediatric Patients With Muscular Dystrophy in the United States

Background and Objectives

Standards of care exist to optimize outcomes in Duchenne and Becker muscular dystrophy (DBMD), caused by alterations in the DMD gene; however, there are limited data regarding health care access in these patients. This study aims to characterize outpatient subspecialty care utilization in pediatric patients with DBMD.

Methods

This retrospective cohort study used administrative claims data from IBM MarketScan Medicaid and Commercial Claims and Encounters Research Databases (2013-2018). Male patients 1-18 years with an ICD-9/10 diagnosis code for hereditary progressive muscular dystrophy between January 1, 2013, and December 31, 2017, were included. Participants were stratified into 3 age cohorts: 1-6 years, 7-12 years, and 13-18 years. The primary outcome was rate of annual neurology visits. Secondary outcomes included annual follow-up rates in other subspecialties and proportion of days covered (PDC) by corticosteroids.

Results

A total of 1,386 patients met inclusion-347 (25.0%) age 1-6 years, 502 (36.2%) age 7-12 years, and 537 (38.7%) age 13-18 years. Heart failure, respiratory failure, and technology dependence increased with age (p for all<0.05). The rate of neurology visits per person-year was 0.36 and did not differ by age. Corticosteroid use was low; 30% of person-years (1452/4829) had a PDC ≥20%. Medicaid insurance was independently associated with a lower likelihood of annual neurology follow-up (OR 0.23; 95% CI 0.18-0.28).

Discussion

The rate of annual neurology follow-up and corticosteroid use in patients with DBMD is low. Medicaid insurance status was independently associated with a decreased likelihood of neurology follow-up, while age was not, suggesting that factors other than disease severity influence neurology care access. Identifying barriers to regular follow-up is critical in improving outcomes for patients with DBMD.

Using a mixed-reality headset to elicit and track clinically relevant movement in the clinic

Background

21st century neurology will require scalable and quantitative tools that can improve neurologic evaluations over telehealth and expand access to care. Commercially available mixed-reality headsets allow for simultaneous presentation of stimuli via holograms projected into the real world and objective and quantitative measurement of hand movement, eye movement, and phonation.

Methods

We created 6 tasks designed to mimic standard neurologic assessments and administered them to a single participant via the Microsoft HoloLens 2 mixed-reality headset. The tasks assessed postural hand tremor, finger tapping, pronation and supination of hands, hand and eye tracking of a center-out task, hand and eye tracking of a random motion task, and vocal assessment.

Findings

We show the utility of the HoloLens for commonly used neurological exams. First, we demonstrate that headset-derived holograms can project hand movements and objects in 3D space, providing a method to accurately and reproducibly present test stimuli to reduce test-test variability. Second, we found that participant hand movements closely matched holographic stimuli using a variety of metrics calculated on recorded movement data. Third, we showed that the HoloLens can record and playback exam tasks for visual inspection, sharing with other medical providers, and future analysis. Fourth, we showed that vocal recordings and analysis could be used to profile vocal characteristics over time. Together, this demonstrates the versatility of mixed reality headsets and possible applications for neurological assessment.

Interpretation

Administering components of the neurologic exam via a self-contained and commercially available mixed-reality headset has numerous benefits including detailed kinematic quantification, reproducible stimuli presentation from test to test, and can be self-administered expanding access to neurological care and saving hospital time and money.

Operational Impact of Neurology Rural Access Model: Reflections on the Importance of Demand-Shaping

Background and Objectives

Demand for specialty neurologic care has been steadily increasing over the past several decades, and health systems are needing to meet the demands of their patients while managing a dwindling workforce. This retrospective study investigates the operational impact of a regional neurology clinic staffed by advanced practice providers with remote physician oversight in a "hub and spoke" delivery model to serve lower complexity patients.

Methods

A retrospective, cross-sectional study was conducted to evaluate outcomes. Descriptive analysis of referral volumes, cancellation/no-show rates, and patient complexity as determined by the reason for referral were used to evaluate patients who received referrals from rural counties north of the primary neurology practice before and after the opening of the regional clinic. These metrics were evaluated longitudinally from counties of interest and for differences in patients seen at the regional clinic vs primary neurology practice.

Results

Referral volumes from the northern counties increased at significantly higher rates after the opening of the regional clinic than other counties in the serviced area. This resulted in an increase in patients seen in the hub clinics and spoke clinic. The regional clinic did see patients who were less complex than the primary practice; however, the total volume of low-complexity patients scheduled at the primary practice did not decrease. Cancellation and no-show rates did not seem to be affected in either clinic.

Discussion

The opening of a regional "spoke" clinic resulted in the generation of greater referral volumes that exceeded the capacity created by the clinic. Owing to this, there was an increase in the number of patients seen from the regional counties in the hub clinics, negating the potential benefit of improving access for high-complexity patients. Importance of demand-shaping and appropriate utilization as part of the value equation are discussed, followed by discussion of mitigation strategies.

Enhancing Value and Well-Being: The Basket of Motivators Framework for Aligning Neurology Clinical Practices With Performance Outcomes

Purpose of Review

Physician burnout, which is prevalent in neurology, has accelerated in recent years. While multifactorial, a major contributing factor to burnout is a payment model that rewards volume over quality, leaving physicians overburdened and unfulfilled. The aim of this review was to investigate ways of reducing burnout while improving quality-based outcomes in a value-based health care model.

Recent Findings

Burnout affects researchers, educators, clinicians, and administrators in all fields and tracks, but neurologists experience some of the worst burnout rates among specialties. Transitioning to a value-based health care model, which rewards quality and outcomes over volume, may contribute to reversing the burnout trend. However, this requires that physicians feel valued in the workplace in ways corresponding to their preferences. We propose to stratify neurologists using the "basket of motivators" framework, which operates multiple individual-based and team-based motivators including balance among work responsibilities, work-life balance, institutional pride, self-actualization at work, work environment, and finances. By tailoring individual-based and team-based financial and nonfinancial incentives, neurologists are empowered to work at the top of their license to provide high-impact clinical care while combating the most prominent causes of burnout.

Summary

To address the neurologist burnout epidemic, a transition to value-based health care is needed that rewards quality-based performance outcomes through both individual-based and team-based approaches that apply financial and nonfinancial incentives. Understanding the underlying motivations behind neurologists' drives to work can inform tailored incentives that allow neurologists to provide value to their patients and feel valued by their organizations.

2024 Alzheimer's disease facts and figures

This article describes the public health impact of Alzheimer's disease (AD), including prevalence and incidence, mortality and morbidity, use and costs of care and the ramifications of AD for family caregivers, the dementia workforce and society. The Special Report discusses the larger health care system for older adults with cognitive issues, focusing on the role of caregivers and non-physician health care professionals. An estimated 6.9 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060, barring the development of medical breakthroughs to prevent or cure AD. Official AD death certificates recorded 119,399 deaths from AD in 2021. In 2020 and 2021, when COVID-19 entered the ranks of the top ten causes of death, Alzheimer's was the seventh-leading cause of death in the United States. Official counts for more recent years are still being compiled. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2021, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 140%. More than 11 million family members and other unpaid caregivers provided an estimated 18.4 billion hours of care to people with Alzheimer's or other dementias in 2023. These figures reflect a decline in the number of caregivers compared with a decade earlier, as well as an increase in the amount of care provided by each remaining caregiver. Unpaid dementia caregiving was valued at $346.6 billion in 2023. Its costs, however, extend to unpaid caregivers' increased risk for emotional distress and negative mental and physical health outcomes. Members of the paid health care and broader community-based workforce are involved in diagnosing, treating and caring for people with dementia. However, the United States faces growing shortages across different segments of the dementia care workforce due to a combination of factors, including the absolute increase in the number of people living with dementia. Therefore, targeted programs and care delivery models will be needed to attract, better train and effectively deploy health care and community-based workers to provide dementia care. Average per-person Medicare payments for services to beneficiaries age 65 and older with AD or other dementias are almost three times as great as payments for beneficiaries without these conditions, and Medicaid payments are more than 22 times as great. Total payments in 2024 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $360 billion. The Special Report investigates how caregivers of older adults with cognitive issues interact with the health care system and examines the role non-physician health care professionals play in facilitating clinical care and access to community-based services and supports. It includes surveys of caregivers and health care workers, focusing on their experiences, challenges, awareness and perceptions of dementia care navigation.

Racial, ethnic, and rural disparities in distance to physicians among decedents with Alzheimer's disease and related dementias in Washington State

INTRODUCTION

Distance to physicians may explain some of the disparities in Alzheimer's disease and related dementia (AD/ADRD) outcomes.

METHODS

We generated round trip distance between residences of decedents with AD/ADRD and the nearest neurologist and primary care physician in Washington State.

RESULTS

The overall mean distance to the nearest neurologist and primary care physician was 17 and 4 miles, respectively. Non-Hispanic American Indian and/or Alaska Native and Hispanic decedents would have had to travel 1.12 and 1.07 times farther, respectively, to reach the nearest neurologist compared to non-Hispanic White people. Decedents in micropolitan, small town, and rural areas would have had to travel 2.12 to 4.01 times farther to reach the nearest neurologist and 1.14 to 3.32 times farther to reach the nearest primary care physician than those in metropolitan areas.

DISCUSSION

These results underscore the critical need to identify strategies to improve access to specialists and primary care physicians to improve AD/ADRD outcomes.

HIGHLIGHTS

Distance to neurologists and primary care physicians among decedents with AD/ADRD American Indian and/or Alaska Native decedents lived further away from neurologists Hispanic decedents lived further away from neurologists Non-metropolitan decedents lived further away from neurologists and primary care Decrease distance to physicians to improve dementia outcomes.

Expansion of Telestroke Coverage in Community Hospitals: Unifying Stroke Care and Reducing Transfer Rate

OBJECTIVE

Telestroke (TS) service has been shown to improve stroke diagnosis timing and accuracy, facilitate treatment decisions, and decrease interfacility transfers. Expanding TS service to inpatient units at the community hospital provides an opportunity to follow up on stroke patients and optimize medical management. This study examines the outcome of expanding TS coverage from acute emergency room triage to incorporate inpatient consultation.

METHODS

We studied the effect of expanding TS to inpatient consultation service at 19 regional hospitals affiliated with Promedica Stroke Network. We analyzed data pre- and post-TS expansion. We reviewed changes in TS utilization, admission rate, thrombolytic therapy, patient transfer rate, and diagnosis accuracy.

RESULTS

Between January 2018 and June 2022, a total of 9,756 patients were evaluated in our stroke network (4,705 in pre- and 5,051 in the post-TS expansion). In the post-TS expansion period, stroke patients' admission at the spoke hospital increased from 18/month to 40/month, and for TIA from 11/month to 16/month. TS cart use increased from 12% to 35.2%. Patient transfers to hub hospital decreased by 31%. TS service expansion did not affect intravenous thrombolytic therapy rate or door-to-needle time. There was no difference in length of stay or readmission rate, and the patients at the spoke hospitals had a higher rate of home discharge 57.38% compared with 52.58% at hub hospital.

INTERPRETATION

Telestroke service expansion to inpatient units helped decrease transfers and retain patients in their communities, increased stroke and TIA diagnosis accuracy, and did not compromise patients' hospitalization or outcome. ANN NEUROL 2024;95:576-582.

Transitions in care: Piloting a neurocritical care clinic with nurse practitioners and physician associates

ABSTRACT

The transition period from hospital to home is a vulnerable time for rehospitalization and adverse events for patients. Follow-up clinic visits within 7-14 days of discharge is an effective strategy for reducing hospital readmissions. Neurocritical care patients have a unique set of needs to safely transition to home. We evaluated the feasibility of a Neuroscience Rapid Follow-Up Clinic with nurse practitioners (NPs) and physician associates (PAs) to meet transitional care gaps in neurocritical care patients and prevent rehospitalization. Clinic procedures and documentation templates were customized for the pilot clinic. Five NPs and one PA underwent a brief training course for the ambulatory care setting. Eligible patients were tracked throughout the hospitalization and the team made follow-up appointments. The pilot clinic took place from October 2022 to January 2023. Nine patients were seen in the clinic approximately 8 days after discharge. The clinic attendance rate was 90%. Among the clinic attendees, 66% received referrals to a primary care provider or other services, one third received medication changes or refills and all received patient-specific education. There were no rehospitalizations among the clinic patients. Implementation of this pilot clinic was possible with the current departmental resources. This innovative model of care has the potential to reduce hospital readmissions.

Rapid Access Scheduler: A Web-Based System for Direct Provider Scheduling to Pediatric Neurology

Purpose of Review

Access to pediatric neurology care is limited, and outpatient waits can exceed 6 months. The referral process is often complex and burdensome. Our objective was to trial a program for scheduling access to pediatric neurology, to be controlled and accessed directly by outside providers.

Recent Findings

We developed a web-based automated system, "Rapid Access Scheduler" (RASr), for direct scheduling by outside providers. RASr is built around a calendar view that allows the provider to see and reserve an available slot at the time of care. Once a slot is reserved, the scheduling team contacts the family to finalize scheduling.

Summary

The RASr system is a novel approach for facilitating pediatric neurology patient access through direct scheduling by outside providers using a web-based portal. Advantages of this include control and responsibility by outside providers, easy visibility of availability, and opportunity to inform patients and families at their point-of-care.

Evaluation of Vascular Neurology Fellowship Websites in the U.S

Objectives

Due to the limitations of the Coronavirus disease pandemic, medical applicants have relied on remote means of information, such as a program's website, to decide where to apply. However, studies have shown that many residency and fellowship websites lack information. Vascular neurology fellowship websites have not yet been studied. This study evaluates the availability and accessibility of information on vascular neurology fellowship websites.

Methods

From 2021 to 2022, a total of 109 U.S. vascular neurology fellowship programs from the Fellowship and Residency Electronic Interactive Database were investigated to determine whether they had websites. Each website was evaluated on the immediate availability of 34 different criteria, which were deemed important by past studies. These criteria were reviewed under four categories: program overview, application information, fellow life, and curriculum. The comprehensiveness of the information among these different categories were analyzed. Programs were grouped by geographic region and electronic residency application service (ERAS)-participation status and comparisons were made within these groups.

Results

There were 107 programs with websites (98%). ERAS-participating programs fulfilled more criteria on average than non-participating programs (P = 0.004). All websites provided information on general descriptions of their programs, but information on board exam pass rates, fellow testimonials, history of the fellowship program, responsibility progression, family and social events, parking availability, and application deadline were provided by less than 25% of websites.

Conclusion

This study found that there was a large lack of information on vascular neurology fellowship websites, which could be improved to attract more applicants.

Molecular Gene Expression Testing to Identify Alzheimer's Disease with High Accuracy from Fingerstick Blood

Background

There is no molecular test for Alzheimer's disease (AD) using self-collected samples, nor is there a definitive molecular test for AD. We demonstrate an accurate and potentially definitive TempO-Seq® gene expression test for AD using fingerstick blood spotted and dried on filter paper, a sample that can be collected in any doctor's office or can be self-collected.

Objective

Demonstrate the feasibility of developing an accurate test for the classification of persons with AD from a minimally invasive sample of fingerstick blood spotted on filter paper which can be obtained in any doctor's office or self-collected to address health disparities.

Methods

Fingerstick blood samples from patients clinically diagnosed with AD, Parkinson's disease (PD), or asymptomatic controls were spotted onto filter paper in the doctor's office, dried, and shipped to BioSpyder for testing. Three independent patient cohorts were used for training/retraining and testing/retesting AD and PD classification algorithms.

Results

After initially identifying a 770 gene classification signature, a minimum set of 68 genes was identified providing classification test areas under the ROC curve of 0.9 for classifying patients as having AD, and 0.94 for classifying patients as having PD.

Conclusions

These data demonstrate the potential to develop a screening and/or definitive, minimally invasive, molecular diagnostic test for AD and PD using dried fingerstick blood spot samples that are collected in a doctor's office or clinic, or self-collected, and thus, can address health disparities. Whether the test can classify patients with AD earlier then possible with cognitive testing remains to be determined.

Challenges of Teleneurology in the Care of Complex Neurodegenerative Disorders: The Case of Parkinson's Disease with Possible Solutions

Teleneurology is a specialist field within the realm of telemedicine, which is dedicated to delivering neurological care and consultations through virtual encounters. Teleneurology has been successfully used in acute care (e.g., stroke) and outpatient evaluation for chronic neurological conditions such as epilepsy and headaches. However, for some neurologic entities like Parkinson's disease, in which an in-depth physical examination by palpating muscles and performing neurologic maneuvers is the mainstay of monitoring the effects of medication, the yield and feasibility of a virtual encounter are low. Therefore, in this prospective review, we discuss two promising teleneurology approaches and propose adjustments to enhance the value of virtual encounters by improving the validity of neurological examination: 'hybrid teleneurology', which involves revising the workflow of virtual encounters; and 'artificial intelligence (AI)-assisted teleneurology', namely the use of biosensors and wearables and data processing using AI.

A critical systematic review of K-12 neurology/neuroscience pipeline programs

Background

Early exposure to neuroscience is imperative to strengthening the neuroscience and neurology pipeline and may present an avenue for increasing the number of practicing neurologists and diversifying the neuroscience workforce. Our objective was to systematically review existing K-12 neuroscience education and outreach programs to understand what educational programs have been developed and implemented.

Methods

We conducted an electronic database search of PubMed, EMBASE, PsycINFO, Education Source, and ERIC. All eligible articles were systematically reviewed to examine the type of program developed, target age group, implementation, and efficacy.

Results

Our search produced 2,574 results, from which 23 articles were deemed eligible. The breakdown by age group was as follows: 5 elementary school, 8 middle school, 8 high school, and 2 general K-12 range of students. Six articles described programs intended for URM students. All programs were found to be successful in exposing students to neuroscience and inspiring interest in pursuing a career in the field of neurology.

Discussion

Further efforts are necessary to analyze the long-term effectiveness of K-12 neuroscience education and outreach programs in overcoming the shortage of neurologists and explore the impact of mentorship for various age groups among K-12.Systematic review registrationhttps://doi.org/10.17605/OSF.IO/2G8CN.

Recognizing and Responding to the Needs of Future Child and Adult Neurology Care Through the Evolution of Residency Training

Recent insights into the frequency of occurrence and the genetic and mechanistic basis of nervous system disease have demonstrated that neurologic disorders occur as a spectrum across all ages. To meet future needs of patients with neurologic disease of all ages and prepare for increasing implementaton of precision therapies, greater integration of child and adult neurology residency training is needed. ANN NEUROL 2023;94:1005-1007.

Performance of a Tic Screening Tool (MOVeIT) in Comparison to Expert Clinician Assessment in a Developmental-Behavioral Pediatrics Clinic Sample

Youth with intellectual and developmental disabilities typically have higher rates of tics and stereotypies compared to children with otherwise typical development. Differentiating between these two pediatric movement disorders can be challenging due to overlapping clinical features, but is relevant due to distinct treatment modalities. The current study evaluated sensitivity and specificity of a tic screening measure, the Motor or Vocal Inventory of Tics (MOVeIT) in a pediatric sample enriched for stereotypy and tics. Children (n=199, age 2-15 years old) receiving care in a developmental-behavioral pediatrics clinic underwent a gold-standard diagnostic assessment by a tic expert; these evaluations were compared to the MOVeIT. The MOVeIT demonstrated good sensitivity (89.8%) and relatively lower specificity (57.1%) compared to tic expert for detecting tics in the overall sample. Specificity of the MOVeIT to identify tics improved to 75% when excluding children with co-occurring stereotypy. For children with tics and co-occurring stereotypy, sensitivity remained high (91.9%) but specificity was low (39.1%). The area under the curve (AUC) value to detect tics on the MOVeIT compared to the tic expert gold standard was significantly higher for children without stereotypy (AUC=85.7%) than those with stereotypy (AUC=64.3%, p <0.01). Overall, the ability to detect tics was better in those without co-occurring stereotypy symptoms. Further work is needed to establish the utility of the MOVeIT in populations where there is a high likelihood of co-occurring tics and stereotypy and in general population settings. Accurate distinction between tics and stereotypy will guide choices for intervention and anticipatory guidance for families.

Nursing and Institutional Responsibilities for In-Hospital Stroke

In-hospital stroke events occur less often than stroke outside of a health care facility; yet, the need for timely evaluation and treatment is the same regardless of geographic location. During hospitalization, nurses are generally the first to recognize possible symptoms of stroke and activate emergency protocols. Such actions in response to changes in patient condition are critical to optimal patient outcomes. A recent scientific statement from the American Heart Association notes that patients with in-hospital stroke are likely to experience delayed recognition of symptoms, less likely to receive intravenous thrombolysis therapy, and have worse outcomes compared with community-occurring stroke. The aim of this article is to expand upon that scientific statement to assist nurses and acute care hospitals in the United States and elsewhere with similar health care systems to create evidence-based, nurse-driven protocols for in-hospital stroke recognition and management.

Education Research: Monitoring and Tracking Neurophobia: Evidence From a Temporal Analysis of Brazilian Medical Schools

Background and Objectives

Neurologic disorders are common medical conditions. However, even with a higher demand for neurologic care, the capacity to train neurologists is impaired. The fear of neurosciences/neurology by medical students, known as neurophobia, may cause multiple adverse effects in neurologic assistance. The objectives of this study were to estimate the current prevalence and characteristics of neurophobia in medical students in Brazil and to compare neurophobic symptoms at 2 time points.

Methods

This is a cross-sectional study conducted with students from 4 medical schools in Pará, Brazil, who matriculated into the preclinical stage, clinical stage, and internship were submitted to a questionnaire to assess the perception of clinical specialties, including neurology. Reasons for neurophobia, probable strategies to improve neurologic education, and a specific scale to detect neurophobia were also evaluated. Furthermore, we performed a temporal comparison of current results with those from a previous study from 2015.

Results

Neurophobia was detected in 63.3% of medical students. The perception of the difficulty in neurology/neurosciences was very high in all stages, and the perception of interest and quality of teaching worsened during the internship. The need to understand neuroanatomy and neurophysiology was cited as the most important reason for neurophobia. More and better bedside tutorials were the most mentioned suggestion to improve neurologic education. The temporal comparison between 2015 and 2022 showed that the level of knowledge, quality of teaching, and likelihood of pursuing a career in neurology has become more favorable in 2022.

Discussion

The prevalence of neurophobia in Brazil was higher than that in high-income countries. Unfavorable opinions about neurology tended to increase throughout the medical course, but the temporal comparison showed that the impact of neurophobia has decreased. Surveillance systems for monitoring and tracking neurophobia should be implemented in medical schools.

High-Yield, Case-Based, Interactive Workshop on Telehealth and Teleneurology With Pediatric Resident Physicians

Introduction

Increasing prevalence of neurologic disorders with an aging global population and limited availability of neurologists may lead to worse patient outcomes. As a result of the COVID-19 pandemic, telehealth services surged, and despite easing public health measures, the demand has remained. Telehealth technology has the potential to close the physical gaps in expanding the reach of care. This academic half-day workshop sought to provide a learning opportunity in response to these concerns.

Methods

The workshop consisted of small- and large-group case discussions among pediatric resident physicians (PGY 1-PGY 3) moderated by two child neurology faculty physicians over Zoom. Participants received a learner document with prereading articles and questions for each case. PowerPoint presentations with video demonstrations were used to introduce the cases and guide discussions.

Results

Of the 25 attendees, 14 (56% response rate) answered a nonmandatory postsession survey. Eighty-six percent of the respondents were very or extremely satisfied with the content covered and were similarly satisfied with the effectiveness of content delivery. Seventy-nine percent of the respondents found the content helpful or very helpful in preparation for the board, and 93% anticipated applying the content covered occasionally or frequently in their clinical practice.

Discussion

Small-group discussions with video demonstrations are helpful in increasing proficiency with telehealth technology and in examining board-relevant cases on pediatric patients. There is strong interest in subsequent telehealth half-day workshops that incorporate teaching through group discussions on relevant patient case scenarios.

Functional Seizure Clinics: A Proposed Financially Viable Solution to the Neurologist Supply and Demand Mismatch

Background and Objectives

Projections from recent studies suggest that by 2025, there will not be enough neurologists to meet the demand in 41 states. In this study, we investigate the financial impact and improved access to care for persons with epilepsy that is possible by implementing a multidisciplinary treatment clinic for persons with functional seizures (FS), previously referred to as psychogenic nonepileptic seizures, thus separating those patients out of an epilepsy clinic.

Methods

This observational retrospective study used real-time data of 156 patients referred to an FS clinic integrated into a tertiary care epilepsy center to simulate its effect on epilepsy division access and finances. Access was measured using simulations of the number of return patient visits (RPVs) and new patient visits (NPVs) of patients with FS to a dedicated epilepsy clinic, based on survey results inquiring about the standard of care without the FS clinic. Finances were simulated using the resultant access multiplied by respective wRVU and reimbursement per CPT code.

Results

Treatment of 156 patients with FS in a multidisciplinary FS clinic resulted in 343 newly opened NPVs, reimbursement of $102,000, and 1,200 wRVUs in our dedicated epilepsy clinic. There were 686 RPVs, $103,000 in reimbursement, and 1,320 wRVUs. Relative to the total number of NPVs with epilepsy clinic epileptologists, 343 NPVs represent a biennial 15.5% increase in available new patient visit slots.

Discussion

Our findings describe the financial viability of integrating a treatment clinic for persons with FS by directing them to FS-specialized treatment and thereby increasing access for patients with probable epilepsy to the dedicated epilepsy clinic. This study provides a potential solution to the national mismatch in the supply and demand of neurologists and an initial framework to use for those who wish to establish or integrate FS services in their institution.

Care access and utilization among medicare beneficiaries living with Parkinson's disease

An estimated 90% of people living with Parkinson's disease (PD) in the US are covered by Medicare health insurance. How these beneficiaries use and engage the health care system is important to understand in the face of a rapidly growing PD population. Here, we analyzed health care utilization patterns of those with a PD diagnosis enrolled in Medicare in 2019. By our estimates, PD beneficiaries number 685,116 or 1.2% of the total Medicare population. Compared to the overall Medicare population, 56.3% are male (vs 45.6%), 77.9% over age 70 (vs 57.1%), 14.7% people of color (vs 20.7%), and 16.0% are rural residents (vs 17.5%). Our analysis identified significant disparities in care. Surprisingly, 40% of PD beneficiaries (n = 274,046) did not see a neurologist at all during the calendar year and only 9.1% visited a movement disorder specialist (MDS). Few Medicare beneficiaries diagnosed with PD use recommended services such as physical, occupational, or speech therapy. People of color and rural residents were least likely to access a neurologist or therapy services. Despite 52.9% of beneficiaries being diagnosed with depression, only 1.8% had a clinical psychology visit. Our findings emphasize the need for further research on population-specific barriers to accessing PD-related health care.

Machine Learning in Clinical Trials: A Primer with Applications to Neurology

We reviewed foundational concepts in artificial intelligence (AI) and machine learning (ML) and discussed ways in which these methodologies may be employed to enhance progress in clinical trials and research, with particular attention to applications in the design, conduct, and interpretation of clinical trials for neurologic diseases. We discussed ways in which ML may help to accelerate the pace of subject recruitment, provide realistic simulation of medical interventions, and enhance remote trial administration via novel digital biomarkers and therapeutics. Lastly, we provide a brief overview of the technical, administrative, and regulatory challenges that must be addressed as ML achieves greater integration into clinical trial workflows.

2023 Alzheimer's disease facts and figures

This article describes the public health impact of Alzheimer's disease, including prevalence and incidence, mortality and morbidity, use and costs of care, and the overall impact on family caregivers, the dementia workforce and society. The Special Report examines the patient journey from awareness of cognitive changes to potential treatment with drugs that change the underlying biology of Alzheimer's. An estimated 6.7 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060 barring the development of medical breakthroughs to prevent, slow or cure AD. Official death certificates recorded 121,499 deaths from AD in 2019, and Alzheimer's disease was officially listed as the sixth-leading cause of death in the United States. In 2020 and 2021, when COVID-19 entered the ranks of the top ten causes of death, Alzheimer's was the seventh-leading cause of death. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2019, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 145%. This trajectory of deaths from AD was likely exacerbated by the COVID-19 pandemic in 2020 and 2021. More than 11 million family members and other unpaid caregivers provided an estimated 18 billion hours of care to people with Alzheimer's or other dementias in 2022. These figures reflect a decline in the number of caregivers compared with a decade earlier, as well as an increase in the amount of care provided by each remaining caregiver. Unpaid dementia caregiving was valued at $339.5 billion in 2022. Its costs, however, extend to family caregivers' increased risk for emotional distress and negative mental and physical health outcomes - costs that have been aggravated by COVID-19. Members of the paid health care workforce are involved in diagnosing, treating and caring for people with dementia. In recent years, however, a shortage of such workers has developed in the United States. This shortage - brought about, in part, by COVID-19 - has occurred at a time when more members of the dementia care workforce are needed. Therefore, programs will be needed to attract workers and better train health care teams. Average per-person Medicare payments for services to beneficiaries age 65 and older with AD or other dementias are almost three times as great as payments for beneficiaries without these conditions, and Medicaid payments are more than 22 times as great. Total payments in 2023 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $345 billion. The Special Report examines whether there will be sufficient numbers of physician specialists to provide Alzheimer's care and treatment now that two drugs are available that change the underlying biology of Alzheimer's disease.

Curriculum Innovations: "Eye"-ing Enhanced Educational Methods for Neurology Trainees: Pilot of an Online, Case-based Neuro-ophthalmology Interactive Workshop

Introduction and Problem Statement

Common and potentially life-threatening neurologic conditions often present with neuro-ophthalmologic manifestations. Given the growing shortage of neurologists, and specifically neuro-ophthalmologists, it is important that students who will be at the front lines of these complaints are comfortable assessing such patients. We developed a neuro-ophthalmology learning intervention composed of an interactive workshop that discussed novel, online case-based modules. We assessed (1) the subjective and objective improvement in the understanding of neuro-ophthalmologic manifestations of common neurologic conditions and (2) satisfaction with the educational tool.

Objectives

The objectives of this study were to identify and describe common neuro-ophthalmologic manifestations of neurologic conditions, to explain the differential diagnosis, diagnostic workup, and evidence-based treatment of common neuro-ophthalmologic conditions, and to use interactive, case-based discussion to foster an enjoyable, student-focused e-learning environment via the 20/20 SIM platform.

Methods and Curriculum Description

Our study team, composed of ophthalmology and neurology faculty, developed cases for 5 common and high-stake neurologic conditions with neuro-ophthalmologic manifestations and published them on 2020SIM.com. The cases served as the basis of our educational intervention, a 1-hour virtual interactive workshop for neurology clerkship students. Students completed optional, anonymous pretests and posttests and an exit survey to assess subjective and objective neuro-ophthalmology knowledge improvement and satisfaction with the educational tool.

Results and Assessment Data

A total of 145 students participated; 86% (n = 125), 70% (n = 102), and 61% (n = 88) completed at least part of the pretest, posttest, and exit survey, respectively. The mean knowledge score increased from 7.5 to 8.5/10, p = 0.00014. Students reported a subjective increase in knowledge of neuro-ophthalmology (70%, n = 62) and wished to see a similar learning tool for other specialties (92%, n = 81). More than half (64%, n = 56) enjoyed the workshop, approximately three-quarters (73%, n = 64) preferred the interactive session to traditional didactics, and almost all (92%, n = 81) students recommended the learning sessions in the future.

Discussion and Lessons Learned

Medical students experienced subjective and objective improvement in their understanding of neuro-ophthalmologic manifestations of common neurologic conditions. In addition, they rated the intervention favorably in relation to traditional didactics and recommended a similar platform in other specialties. The integration of interactive online learning tools, such as the SIM platform, into curricular workshops may offer a favorable and effective strategy to increase exposure to topics with less curricular time.

There is no shortage, but inequality: demographic evolution of neurologists in Brazil (2010-2020)

BACKGROUND

 Neurology is a medical specialty that deals with prevalent diseases such as stroke, headache, epilepsy, and neurodegenerative diseases. Many countries, such as Brazil, struggle to provide neurological care for their populations, but the inadequacy and unequal distribution of the neurologist workforce are real challenges.

OBJECTIVE

 To analyze the demographic evolution of neurologists and the first-year Neurology residency positions in Brazil during the last decade (2010-2020) and the distribution imbalance between regions.

METHODS

 The demographic and geographic distribution of neurologists was calculated based on data extracted from the Brazilian Federal Medical Council reports, and the number of Neurology residency positions was based on the Brazilian National Commission of Medical Residency reports. Indicators of wealth were associated with demographic data.

RESULTS

 The number of neurologists per 100,000 population has increased since 2011, with a similar increase in the geographic distribution of neurologists. However, there was a marked inequality of distribution of neurologists through regions, with a gap between the Northern (lowest) and Southeastern (highest) regions. Furthermore, the imbalance of distribution of neurologists strongly correlated with social inequality. The number of Neurology residency positions increased, but with an imbalance between North and Southeast regions.

CONCLUSIONS

 Brazil has advanced in providing neurologists. However, instead of a shortage, inequality between regions is the greatest challenge regarding the neurological workforce. The training of new neurologists is unequal between regions and occurs at a slower rate than needed. Neurologists, public health authorities, and patients should discuss solutions for these issues.

Be in the Digital Room Where it Happens, Part II: Social Media for Neurology Educators

Social media has changed the way we communicate and interact. Unsurprisingly, it has also changed how we teach and learn. Younger generations of learners have transitioned from traditional educational sources to digital ones. Medical educators need to adapt to trends in medical education and develop fluency in the digital methods used by medical learners today. This is part two of a two-part series on social media and digital education in neurology. This article provides an overview of how social media can be used as a teaching tool in medical education and provides an overview in which it is grounded. We offer practical strategies on how social media can promote lifelong learning, educator development, educator support, and foster educator identity with accompanying neurology-specific examples. We also review considerations for incorporating social media into teaching and learning practices and future directions for integrating these tools in neurology education.

Evaluation of new instruments for screening and diagnosis of tics and tic disorders in a well-characterized sample of youth with tics and recruited controls

Tics and tic disorders can significantly impact children, but limited screening tools and diagnostic challenges may delay access to care. The current study attempted to address these gaps by evaluating sensitivity and specificity of the Motor or Vocal Inventory of Tics (MOVeIT), a tic symptom screener, and the Description of Tic Symptoms (DoTS), a brief diagnostic assessment for tic disorders. Children (n=100, age 6-17 years old) with tic disorders attending a Tourette specialty clinic and a community-recruited sample without tics completed a gold-standard assessment by a tic expert; these evaluations were compared to child self-report and parent and teacher report versions of the MOVeIT, and child and parent versions of the DoTS. The parent and child MOVeIT met or exceeded pre-specified 85% sensitivity and specificity criteria for detecting the presence of tics when compared to a gold-standard tic expert diagnosis. The Teacher MOVeIT had lower sensitivity (71.4%) but good specificity (95.7%) for identifying any tic symptoms compared to gold standard. For determination of the presence or absence of any tic disorder, sensitivity of both parent and child DoTS was 100%; specificity of the parent DoTS was 92.7% and child DoTS specificity was 75.9%. More work may be needed to refine the teacher MOVeIT, but it is also recognized that tic expression may vary by setting. While the MOVeIT and DoTS parent and child questionnaires demonstrated adequate sensitivity and specificity for determining the presence of tics and tic disorders in this well-defined sample, additional testing in a general population is warranted.

Incidence of Parkinson disease in North America

Parkinson disease (PD) is the second most common age-related neurodegenerative condition diagnosed in North America. We recently demonstrated, using multiple epidemiological data sources, that the prevalence of PD diagnoses was greater than previously reported and currently used for clinical, research, and policy decision-making. Prior PD incidence estimates have varied, for unclear reasons. There is a need for improved estimates of PD incidence, not only for care delivery planning and future policy but also for increasing our understanding of disease risk. The objective of this study was thus to investigate the incidence of Parkinson disease across five epidemiological cohorts in North America in a common year, 2012. The cohorts contained data on 6.7 million person-years of adults ages 45 and older, and 9.3 million person-years of adults ages 65 and older. Our estimates of age-sex-adjusted incidence of PD ranged from 108 to 212 per 100,000 among persons ages 65 and older, and from 47 to 77 per 100,00 among persons ages 45 and older. PD incidence increased with age and was higher among males. We also found persistent spatial clustering of incident PD diagnoses in the U.S. PD incidence estimates varied across our data sources, in part due to case ascertainment and diagnosis methods, but also possibly due to the influence of population factors (prevalence of genetic risk factors or protective markers) and geographic location (exposure to environmental toxins). Understanding the source of these variations will be important for health care policy, research, and care planning.

Supervised Machine Learning and Deep Learning Techniques for Epileptic Seizure Recognition Using EEG Signals-A Systematic Literature Review

Electroencephalography (EEG) is a complicated, non-stationary signal that requires extensive preprocessing and feature extraction approaches to be accurately analyzed. In recent times, Deep learning (DL) has shown great promise in exploiting the characteristics of EEG signals as it can learn relevant features from raw data autonomously. Although studies involving DL have become more common in the last two years, the topic of whether DL truly delivers advantages over conventional Machine learning (ML) methodologies remains unsettled. This study aims to present a detailed overview of the main challenges in the field of seizure detection, prediction, and classification utilizing EEG data, and the approaches taken to solve them using ML and DL methods. A systematic review was conducted surveying peer-reviewed publications published between 2017 and 16 July 2022 using two scientific databases (Web of Science and Scopus) totaling 6822 references after discarding duplicate publications. Whereas 2262 articles were screened based on the title, abstract, and keywords, only 214 were eligible for full-text assessment. A total of 91 papers have been included in this survey after meeting the eligible inclusion and exclusion criteria. The most significant findings from the review are summarized, and several important concepts involving ML and DL for seizure detection, prediction, and classification are discussed in further depth. This review aims to learn more about the different approaches for identifying different types and stages of epileptic seizures, which may then be employed to enhance the lives of epileptic patients in the future, as well as aid experts in the field.

Diagnostic accuracy of the physical examination in emergency department patients with acute vertigo or dizziness: A systematic review and meta-analysis for GRACE-3

BACKGROUND

History and physical examination are key features to narrow the differential diagnosis of central versus peripheral causes in patients presenting with acute vertigo. We conducted a systematic review and meta-analysis of the diagnostic test accuracy of physical examination findings.

METHODS

This study involved a patient-intervention-control-outcome (PICO) question: (P) adult ED patients with vertigo/dizziness; (I) presence/absence of specific physical examination findings; and (O) central (ischemic stroke, hemorrhage, others) versus peripheral etiology. Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) was assessed.

RESULTS

From 6309 titles, 460 articles were retrieved, and 43 met the inclusion criteria: general neurologic examination-five studies, 869 patients, pooled sensitivity 46.8% (95% confidence interval [CI] 32.3%-61.9%, moderate certainty) and specificity 92.8% (95% CI 75.7%-98.1%, low certainty); limb weakness/hemiparesis-four studies, 893 patients, sensitivity 11.4% (95% CI 5.1%-23.6%, high) and specificity 98.5% (95% CI 97.1%-99.2%, high); truncal/gait ataxia-10 studies, 1810 patients (increasing severity of truncal ataxia had an increasing sensitivity for central etiology, sensitivity 69.7% [43.3%-87.9%, low] and specificity 83.7% [95% CI 52.1%-96.0%, low]); dysmetria signs-four studies, 1135 patients, sensitivity 24.6% (95% CI 15.6%-36.5%, high) and specificity 97.8% (94.4%-99.2%, high); head impulse test (HIT)-17 studies, 1366 patients, sensitivity 76.8% (64.4%-85.8%, low) and specificity 89.1% (95% CI 75.8%-95.6%, moderate); spontaneous nystagmus-six studies, 621 patients, sensitivity 52.3% (29.8%-74.0%, moderate) and specificity 42.0% (95% CI 15.5%-74.1%, moderate); nystagmus type-16 studies, 1366 patients (bidirectional, vertical, direction changing, or pure torsional nystagmus are consistent with a central cause of vertigo, sensitivity 50.7% [95% CI 41.1%-60.2%, moderate] and specificity 98.5% [95% CI 91.7%-99.7%, moderate]); test of skew-15 studies, 1150 patients (skew deviation is abnormal and consistent with central etiology, sensitivity was 23.7% [95% CI 15%-35.4%, moderate] and specificity 97.6% [95% CI 96%-98.6%, moderate]); HINTS (head impulse, nystagmus, test of skew)-14 studies, 1781 patients, sensitivity 92.9% (95% CI 79.1%-97.9%, high) and specificity 83.4% (95% CI 69.6%-91.7%, moderate); and HINTS+ (HINTS with hearing component)-five studies, 342 patients, sensitivity 99.0% (95% CI 73.6%-100%, high) and specificity 84.8% (95% CI 70.1%-93.0%, high).

CONCLUSIONS

Most neurologic examination findings have low sensitivity and high specificity for a central cause in patients with acute vertigo or dizziness. In acute vestibular syndrome (monophasic, continuous, persistent dizziness), HINTS and HINTS+ have high sensitivity when performed by trained clinicians.

Progress towards the 2030 sustainable development goals: direct and indirect impacts on neurological disorders

The United Nations' Sustainable Development Goals (SDGs) were set forth in 2015 as a blueprint for all nations to create a more sustainable future together. These 17 social, environmental, and economic goals have established targets to meet globally by the year 2030, with a focus on pro-poor initiatives, gender equality, and ending hunger. The relationship of the SDGs with neurological disorders and how the achievement of the SDGs intersects with the future of neurological practice have not been comprehensively examined. However, the incidence of neurological disorders, the outcomes of people living with neurological disorders, and the training of future neurologists can be interlinked, directly or indirectly, with programming for the SDGs and their eventual achievement. Each SDG is reviewed in the context of neurology. This lens can inform programming and policy, enhance research and training, and improve inter-sectoral action for neurological disorders worldwide.