The financial impact of the COVID-19 pandemic on sleeve gastrectomy at a major academic institution.

INTRODUCTION: The COVID-19- pandemic significantly impacted metabolic and bariatric surgery (MBS) practices due to large-scale surgery cancellations along with staff and supply shortages. We analyzed sleeve gastrectomy (SG) hospital-level financial metrics before and after the COVID-19 pandemic. METHODS: Hospital cost-accounting software (MicroStrategy, Tysons, VA) was reviewed for revenues, costs, and profits per SG at an academic hospital (2017-2022). Actual figures were obtained, not insurance charge estimates or hospital projections. Fixed costs were obtained through surgery-specific allocation of inpatient hospital and operating-room costs. Direct variable costs were analyzed with sub-components including: (1) labor and benefits, (2) implants, (3) drug costs, and 4) medical/surgical supplies. The pre-COVID-19 period (10/2017-2/2020) and post-COVID-19 period (5/2020-9/2022) financial metrics were compared with student's t-test. Data from 3/2020 to 4/2020 were excluded due to COVID-19-related changes. RESULTS: A total of 739 SG patients were included. Average length of stay (LOS), Center for Medicaid and Medicare Case Mix Index (CMI), and percentage of patients with commercial insurance were similar pre vs. post-COVID-19 (p > 0.05). There were more SG performed per quarter pre-COVID-19 than post-COVID-19 (36 vs. 22; p = 0.0056). Pre-COVID-19 and post-COVID-19 financial metrics per SG differed significantly for, respectively, revenues ($19,134 vs. $20,983) total variable cost ($9457 vs. $11,235), total fixed cost ($2036 vs. $4018), total profit ($7571 vs. $5442), and labor and benefits cost ($2535 vs. $3734; p < 0.05). CONCLUSIONS: The post-COVID-19 period was characterized by significantly increased SG fixed cost (i.e., building maintenance, equipment, overhead) and labor costs (increased contract labor), resulting in precipitous profit decline that crosses the break-even in calendar year quarter (CQ) 3, 2022. Potential solutions include minimizing contract labor cost and decreasing LOS.

Telemedicine impact on post-stroke outpatient follow-up in an academic healthcare network during the COVID-19 pandemic.

BACKGROUND: The expansion of telemedicine associated with the COVID-19 pandemic has influenced outpatient medical care. The objective of our study was to determine the impact of telemedicine on post-acute stroke clinic follow-up. METHODS: We retrospectively evaluated the impact of telemedicine in Emory Healthcare, an academic healthcare system of comprehensive and primary stroke centers in Atlanta, Georgia, on post-hospital stroke clinic follow-up. We compared the frequency of 90-day follow-up in a centralized subspecialty stroke clinic among patients hospitalized before the local COVID-19 pandemic (January 1, 2019- February 28, 2020), during (March 1- April 30, 2020) and after telemedicine implementation (May 1- December 31, 2020). A comparison was made across hospitals less than 1 mile, 10 miles, and 25 miles from the stroke clinic. RESULTS: Of 1096 ischemic stroke patients discharged home or to a rehab facility during the study period, 342 (31%) had follow-up in the Emory Stroke Clinic (comprehensive stroke center 46%, primary stroke center 10 miles away 18%, primary stroke center 25 miles away 14%). Overall, 90-day follow-up increased from 19% to 41% after telemedicine implementation (p<0.001) with telemedicine appointments amounting for up to 28% of all follow-up visits. In multivariable analysis, factors associated with teleneurology follow-up (vs no follow-up) included discharge from the comprehensive stroke center, thrombectomy treatment, private insurance, private transport to the hospital, NIHSS 0-5 and history of dyslipidemia. CONCLUSIONS: Despite telemedicine implementation at an academic healthcare network successfully increasing post-stroke discharge follow-up in a centralized subspecialty stroke clinic, the majority of patients did not complete 90-day follow-up during the COVID-19 pandemic.

Impact of COVID-19 on Outcomes in Ischemic Stroke Patients in the United States.

BACKGROUND: Studies have shown worse outcomes in patients with comorbid ischemic stroke (IS) and coronavirus disease 2019 (COVID-19), but have had small sample sizes. METHODS: We retrospectively identified patients in the Vizient Clinical Data Base® with IS as a discharge diagnosis. The study outcomes were in-hospital death and favorable discharge (home or acute rehabilitation). In the primary analysis, we compared IS patients with laboratory-confirmed COVID-19 (IS-COVID) discharged April 1-July 31, 2020 to pre-COVID IS patients discharged in 2019 (IS controls). In a secondary analysis, we compared a matched cohort of IS-COVID patients to patients within the IS controls who had pneumonia (IS-PNA), created with inverse-probability-weighting (IPW). RESULTS: In the primary analysis, we included 166,586 IS controls and 2086 IS-COVID from 312 hospitals in 46 states. Compared to IS controls, IS-COVID were less likely to have hypertension, dyslipidemia, or be smokers, but more likely to be male, younger, have diabetes, obesity, acute renal failure, acute coronary syndrome, venous thromboembolism, intubation, and comorbid intracerebral or subarachnoid hemorrhage (all p<0.05). Black and Hispanic patients accounted for 21.7% and 7.4% of IS controls, respectively, but 33.7% and 18.5% of IS-COVID (p<0.001). IS-COVID, versus IS controls, were less likely to receive alteplase (1.8% vs 5.6%, p<0.001), mechanical thrombectomy (4.4% vs. 6.7%, p<0.001), to have favorable discharge (33.9% vs. 66.4%, p<0.001), but more likely to die (30.4% vs. 6.5%, p<0.001). In the matched cohort of patients with IS-COVID and IS-PNA, IS-COVID had a higher risk of death (IPW-weighted OR 1.56, 95% CI 1.33-1.82) and lower odds of favorable discharge (IPW-weighted OR 0.63, 95% CI 0.54-0.73). CONCLUSIONS: Ischemic stroke patients with COVID-19 are more likely to be male, younger, and Black or Hispanic, with significant increases in morbidity and mortality compared to both ischemic stroke controls from 2019 and to patients with ischemic stroke and pneumonia.

Timing of Recognition for Perioperative Strokes Following Cardiac Surgery.

INTRODUCTION: More than half of reported perioperative strokes following cardiac surgery are identified beyond postoperative day one. The objective of our study was to determine preoperative and intraoperative factors that are associated with stroke following cardiac surgery and to identify factors that may contribute delayed recognition of perioperative stroke. METHODS: Patients undergoing coronary artery bypass surgery or isolated valve surgery from January 2, 2015 to April 28, 2017 at an academic health system were identified from the Society of Thoracic Surgeons Registry. We determined preoperative and intraoperative factors associated with perioperative stroke. Two neurologists performed retrospective chart reviews on perioperative stroke patients to determine the last seen well time and the stroke cause. RESULTS: During the study period, 2795 patients underwent coronary artery bypass surgery or isolated valve surgery (mean age 64 ± 11 years, 71% male, 72% Caucasian, 9% history of stroke), of which 43 (1.5%) had a perioperative stroke; 31 (72%) patients had an embolic mechanism of stroke based on neuroimaging. In multivariable analysis, perioperative strokes were independently associated with increasing age (OR 1.04, 95% 1.01-1.07), history of stroke (OR 2.73, 95% CI 1.47-5.06), and history of thoracic aorta disease (OR 3.36, 95% CI 1.16-9.71). Strokes were identified after postoperative day one in 32 (74%) patients of which 26 (81%) had a preoperative last seen well time. CONCLUSION: Given the high frequency of preoperative last seen well time in perioperative stroke patients who are identified after postoperative day one, delayed stroke recognition may contribute to the bimodal distribution in timing of perioperative stroke. Frequent neurological monitoring within 24 hours after CABG or isolated valve surgery should be considered for all patients undergoing cardiac surgery, particularly elderly patients and those with a history of stroke or thoracic aorta disease, to improve early stroke recognition.

Rapid Systemwide Implementation of Outpatient Telehealth in Response to the COVID-19 Pandemic.

EXECUTIVE SUMMARY: The COVID-19 pandemic, with its resultant social distancing, has disrupted the delivery of healthcare for both patients and providers. Fortunately, changes to legislation and regulation in response to the pandemic allowed Emory Healthcare to rapidly implement telehealth care. Beginning in early March 2020 and continuing through the initial 2-month implementation period (when data collection stopped), clinicians received telehealth training and certification. Standard workflows created by means of a hub-and-spoke operational model enabled rapid sharing and deployment of best practices throughout the system's physician group practice. Lean process huddles facilitated successful implementation. In total, 2,374 healthcare professionals, including 986 attending physicians, 416 residents and fellows, and 555 advanced practice providers, were trained and certified for telehealth; 53,751 new- and established-patient audio-video telehealth visits and 10,539 established-patient telephone visits were performed in 8 weeks for a total of 64,290 virtual visits. This initiative included a new COVID-19 virtual patient clinic that saw 705 patients in a 6-week period. A total of $14,662,967 was charged during this time; collection rates were similar to in-person visits. Initial patient satisfaction scores were equivalent to in-person visits. We conclude that rapid deployment of virtual visits can be accomplished through a structured, organized approach including training, certification, and Lean principles. A hub-and-spoke model enables bidirectional feedback and timely improvements, thus facilitating swifter implementation and a quick rise in patient volume. Financial sustainability is achievable, but to sustain that, telehealth requires the support of continued deregulation by legislative and regulatory bodies.

Association of neurologist care with headache expenditures: A population-based, longitudinal analysis.

Objective To assess the association of neurologist ambulatory care with healthcare utilization and expenditure in headache. Methods This was a longitudinal cohort study from two-year duration panel data, pooled from 2002-2013, of adult respondents identified with diagnostic codes for headache in the Medical Expenditure Panel Survey. Those with a neurologist ambulatory care visit in year one of panel participation were compared with those who did not for the change in annual aggregate direct headache-related health care costs from year one to year two of panel participation, inflated to 2015 US dollars. Results were adjusted via multiple linear regression for demographic and clinical variables, utilizing survey variables for accurate estimates and standard errors. Results Eight hundred and eighty-seven respondents were included, with 23.3% (207/887) seeing a neurologist in year one. The neurologist group had higher year-one mean headache-related expenditures ($3032 vs. $1636), but nearly equal mean year-two expenditures compared to controls ($1900 vs. $1929). Adjusted association between neurologist care and difference in mean annual expenditures from year two to year one was -$1579 (95% CI -$2468, -$690, p < 0.001). Conclusion Among headache sufferers, particularly those with higher headache-related healthcare expenditures, neurologist care is associated with a significant reduction in costs over two years.

Hypothalamic-pituitary sarcoidosis with vision loss and hypopituitarism: case series and literature review.

PURPOSE: Hypothalamic-pituitary (HP) neurosarcoidosis (NS) accounts for 0.5 % cases of sarcoidosis and 1 % of HP masses. Correlative data on endocrine and neurological outcomes is lacking. METHODS: Retrospective case series and literature review of presentation, treatment and outcome of HP NS. RESULTS: Our series includes 4 men, ages 34-59, followed for a median of 7.3 years (range 1.5-17). All had optic neuropathy, multiple pituitary hormone abnormalities (PHAs) and other organ involvement by sarcoidosis (lung, sino-nasal, brain/spine and facial nerve). Two patients had central diabetes insipidus and one impaired thirst with polydipsia. After treatment with high-dose glucocorticoids, optic neuropathy improved in one case and stabilized in the others. After treatment, HP lesions improved radiologically, but PHAs persisted in all cases. Review of four published series on HP NS in addition to ours yielded 46 patients, age 37 ± 11.8 years, 65 % male. PHAs consisted of anterior hypopituitarism (LH/FSH 88.8 %, TSH 67.4 %, GH 50.0 %, ACTH 48.8 %), hyperprolactinemia (48.8 %) and diabetes insipidus (65.2 %). PHAs were the first sign of disease in 54.3 % patients. Vision problems occurred in 28.3 % patients, but optic neuropathy was not well documented in previous series. Most patients (93.5 %) received high-dose glucocorticoids followed by taper; 50 % also received other immunomodulators, including methotrexate, mycophenolate mofetil, cyclosporine, azathioprine, infliximab and hydrochloroquine. Only 13 % patients showed improvement in PHAs. All-cause mortality was 8.7 %. CONCLUSION: HP NS is a serious disease requiring multidisciplinary treatment and lifelong follow-up. Prospective multicentric studies are needed to determine a more standardized approach to HP NS and outline predictors of disease outcome.

Burden of Neurologic Health Care and Incident Neurologic Diagnoses in the Year After COVID-19 or Influenza Hospitalization.

BACKGROUND AND OBJECTIVE: Following the outbreak of viral infections from the severe acute respiratory syndrome coronavirus 2 virus in 2019 (coronavirus disease 2019 [COVID-19]), reports emerged of long-term neurologic sequelae in survivors. To better understand the burden of neurologic health care and incident neurologic diagnoses in the year after COVID-19 vs influenza, we performed an analysis of patient-level data from a large collection of electronic health records (EMR). METHODS: We acquired deidentified data from TriNetX, a global health research network providing access to EMR data. We included individuals aged 18 years or older during index event, defined as hospital-based care for COVID-19 (from April 1, 2020, until November 15, 2021) or influenza (from 2016 to 2019). The study outcomes were subsequent health care encounters over the following year for 6 neurologic diagnoses including migraine, epilepsy, stroke, neuropathy, movement disorders, and dementia. We also created a composite of the 6 diagnoses as an incident event, which we call "incident neurologic diagnoses." We performed a 1:1 complete case nearest-neighbor propensity score match on age, sex, race/ethnicity, marital status, US census region patient residence, preindex years of available data, and Elixhauser comorbidity score. We fit time-to-event models and reported hazard ratios for COVID-19 vs influenza infection. RESULTS: After propensity score matching, we had a balanced cohort of 77,272 individuals with COVID-19 and 77,272 individuals with influenza. The mean age was 51.0 ± 19.7 years, 57.7% were female, and 41.5% were White. Compared with patients with influenza, patients with COVID-19 had a lower risk of subsequent care for migraine (HR 0.645, 95% CI 0.604-0.687), epilepsy (HR 0.783, 95% CI 0.727-0.843), neuropathies (HR 0.567, 95% CI 0.532-0.604), movement disorders (HR 0.644, 95% CI 0.598-0.693), stroke (HR 0.904, 95% CI 0.845-0.967), or dementia (HR 0.931, 95% CI 0.870-0.996). Postinfection incident neurologic diagnoses were observed in 2.79% of the COVID-19 cohort vs 4.91% of the influenza cohort (HR 0.618, 95% CI 0.582-0.657). DISCUSSION: Compared with a matched cohort of adults with a hospitalization or emergency department visit for influenza infection, those with COVID-19 had significantly fewer health care encounters for 6 major neurologic diagnoses over a year of follow-up. Furthermore, we found that COVID-19 infection was associated with a lower risk of an incident neurologic diagnosis in the year after infection.

Examining the National Representativeness of the Axon Registry: A Neurology-Specific Patient Registry.

BACKGROUND AND OBJECTIVES: The objective of this study was to determine the external validity of the Axon Registry by comparing the 2019 calendar year data with 2 nationally representative, publicly available data sources, specifically the National Ambulatory Medical Care Survey (NAMCS) and the Medical Expenditure Panel Survey (MEPS). The Axon Registry is the American Academy of Neurology's neurology-focused qualified clinical data registry that reports and analyzes electronic health record data from participating US neurology providers. Its key function is to support quality improvement within ambulatory neurology practices while also promoting high-quality evidence-based care in clinical neurology. We compared demographics of patients who had an outpatient or office visit with a neurologist along with prevalence of selected neurologic conditions and neurologic procedures across the 3 data sets. METHODS: We performed a cross-sectional, retrospective comparison of 3 data sets: NAMCS (2012-2016), MEPS (2013-2017, 2019), and Axon Registry (2019). We obtained patient demographics (age, birth sex, race, ethnicity), patient neurologic conditions (headache, epilepsy, cerebrovascular disease, multiple sclerosis, parkinsonism, dementia, spinal pain, and polyneuropathy), provider location, and neurologic procedures (neurology visits, MR/CT neuroimaging studies and EEG/EMG neurophysiologic studies). Parameter estimates from the pooled 5-year samples of the 2 public data sets, calculated at the visit level, were compared descriptively with those of the Axon Registry. We calculated Cohen h and performed Wald tests (α = 0.05) to conduct person-level statistical comparisons between MEPS 2019 and Axon Registry 2019 data. RESULTS: The Axon Registry recorded 1.3 M annual neurology visits (NAMCS, 11 M; MEPS, 22 M) and 645 K people with neurologic conditions (MEPS, 10 M). Compared with the pooled national surveys, the Axon Registry has similar patient demographics, neurologic condition prevalence, neuroimaging and neurophysiologic utilization, and provider location. In direct comparison with MEPS 2019, the Axon Registry 2019 had fewer children (2% vs 7%), more elderly persons (21% vs 16%), fewer non-Black and non-White race persons (5% vs 8%), less number of patients with epilepsy (10% vs 13%), more patients with dementia (8% vs 6%), more patients with cerebrovascular disease (11% vs 8%), and a greater predominance of neurology providers in the Midwest (25% vs 20%). The only difference with a non-negligible effect size was the proportion of people younger than 15 years (Cohen h = 0.25). DISCUSSION: The Axon Registry demonstrates high concordance with 2 nationally representative surveys. Recruiting more and diverse neurology providers will further improve the volume, representativeness, and value of the Axon Registry.

Costs and Utilization of New-to-Market Neurologic Medications.

BACKGROUND AND OBJECTIVES: The objective of this study was to compare the utilization and costs (total and out-of-pocket) of new-to-market neurologic medications with existing guideline-supported neurologic medications over time. METHODS: We used a healthcare pharmaceutical claims database (from 2001 to 2019) to identify patients with both a diagnosis of 1 of 11 separate neurologic conditions and either a new-to-market medication or an existing guideline-supported medication for that condition. Neurologic conditions included orthostatic hypotension, spinal muscular atrophy, Duchenne disease, Parkinson disease, multiple sclerosis, amyotrophic lateral sclerosis, myasthenia gravis, Huntington disease, tardive dyskinesia, transthyretin amyloidosis, and migraine. New-to-market medications were defined as all neurologic medications approved by the US Food and Drug Administration (FDA) between 2014 and 2018. In each year, we determined the median out-of-pocket and standardized total costs for a 30-day supply of each medication. We also measured the proportion of patients receiving new-to-market medications compared with all medications specific for the relevant condition. RESULTS: We found that the utilization of most new-to-market medications was small (<20% in all but 1 condition), compared with existing, guideline-supported medications. The out-of-pocket and standardized total costs were substantially larger for new-to-market medications. The median (25th percentile, 75th percentile) out-of-pocket costs for a 30-day supply in 2019 were largest for edaravone ($712.8 [$59.8-$802.0]) and eculizumab ($91.1 [$3.0-$3,216.4]). For new-to-market medications, the distribution of out-of-pocket costs was highly variable and the trends over time were unpredictable compared with existing guideline-supported medications. DISCUSSION: Despite the increasing number of FDA-approved neurologic medications, utilization of newly approved medications in the privately insured population remains small. Given the high costs and similar efficacy for most of the new medications, limited utilization may be appropriate. However, for new medications with greater efficacy, future studies are needed to determine whether high costs are a barrier to utilization.

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.

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.

Measuring Ambulatory Racial and Ethnic Neurologic Disparities With the Axon Registry.

Background and Objectives: The primary objective is to examine potential racial and ethnic (R/E) disparities in ambulatory neurology quality measures within the American Academy of Neurology Axon Registry. R/E disparities in neurologic US morbidity and mortality have been clearly documented. Despite these findings, there have been no nationwide examinations of how ambulatory neurologic care affects these negative health outcomes. Methods: This was a retrospective nonrandomized cohort study of patients in the AAN Axon Registry. The Axon Registry is a neurology-specific outpatient quality registry that collects, reports, and analyzes real-world deidentified electronic health record (EHR) data. Patients were included in the study if they contributed toward one of the selected quality measures for multiple sclerosis, epilepsy, Parkinson disease, or headache during the study period of January 1, 2019-December 31, 2019. Descriptive analyses of patient demographics were performed and then stratified by race and ethnicity. Results: There were a total of 633,672 patients included in these analyses. Separate analyses were performed for race (64% White, 8% Black, 1% Asian, and 27% unknown) and ethnicity (52% not Hispanic, 5% Hispanic, and 43% unknown). The mean age ranged from 18 to 55 years, with 61% female and 39% male. Quality measures were chosen based on completeness of R/E data and were either process or outcomes focused. Statistically significant differences were noted after controlling for multiple comparisons. Discussion: The large proportion of missing or unknown R/E data and low overall rate of performance on these quality measures made the relevance of small differences difficult to determine. This analysis demonstrates the feasibility of using the Axon Registry to assess neurologic disparities in outpatient care. More education and training are required on the accurate capture of R/E data in the EHR.

Using Routinely Collected Electronic Health Record Data to Predict Readmission and Target Care Coordination.

ABSTRACT: Patients with chronic renal failure (CRF) are at high risk of being readmitted to hospitals within 30 days. Routinely collected electronic health record (EHR) data may enable hospitals to predict CRF readmission and target interventions to increase quality and reduce readmissions. We compared the ability of manually extracted variables to predict readmission compared with EHR-based prediction using multivariate logistic regression on 1 year of admission data from an academic medical center. Categorizing three routinely collected variables (creatinine, B-type natriuretic peptide, and length of stay) increased readmission prediction by 30% compared with paper-based methods as measured by C-statistic (AUC). Marginal effects analysis using the final multivariate model provided patient-specific risk scores from 0% to 44.3%. These findings support the use of routinely collected EHR data for effectively stratifying readmission risk for patients with CRF. Generic readmission risk tools may be evidence-based but are designed for general populations and may not account for unique traits of specific patient populations-such as those with CRF. Routinely collected EHR data are a rapid, more efficient strategy for risk stratifying and strategically targeting care. Earlier risk stratification and reallocation of clinician effort may reduce readmissions. Testing this risk model in additional populations and settings is warranted.

Delayed diagnosis of cranial neuropathies from perineural spread of skin cancer.

Perineural spread (PNS) to cranial nerves (CNs) by cutaneous malignancies is difficult to diagnose given the indolent course and often late or absent findings on brain imaging. A 68-year-old white man with multiple cranial neuropathies secondary to PNS by squamous cell carcinoma had negative high-quality neuroimaging for 5.25 years. He first developed left facial numbness, followed 39 months later by a left CN VI palsy. Subsequent examinations over 2 years showed involvement of left seventh, right trigeminal V1-V3, and right sixth, and bilateral third nerve palsies. Repeat high-quality brain magnetic resonance imaging (MRIs) during this time showed no identifiable CNs abnormality. Full body positron emission tomography imaging and cerebrospinal fluid studies were normal. 5.25 years after initial sensory symptom onset, MRI showed new enhancement along the right mandibular branch of the trigeminal nerve with foramen ovale widening. Autopsy showed squamous cell carcinoma within both CNs sixth. A long interval to diagnosis of PNS is associated with high morbidity, emphasizing the need for earlier methods of detection when clinical suspicion is high.

Telemedicine in an Academic Movement Disorders Center during COVID-19.

OBJECTIVE: Telemedicine has rapidly gained momentum in movement disorder neurology during the coronavirus disease (COVID-19) pandemic to preserve clinical care while mitigating the risks of in-person visits. We present data from the rapid implementation of virtual visits in a large, academic, movement disorder practice during the COVID-19 pandemic. METHODS: We describe the strategic shift to virtual visits and retrospectively examine elements that impacted the ability to switch to telemedicine visits using historical prepandemic in-person data as a comparator, including demographics, distance driven, and diagnosis distribution, with an additional focus on patients with deep brain stimulators. RESULTS: A total of 686 telemedicine visits were performed over a five-week period (60% of those previously scheduled for in-office visits). The average age of participants was 65 years, 45% were female, and 73% were Caucasian. Men were more likely to make the transition (p = 0.02). Telemedicine patients lived farther from the clinic than those seen in person (66.47 km vs. 42.16 km, p < 0.001), age was not associated with making the switch, and patient satisfaction did not change. There was a significant shift in the distribution of movement disorder diagnoses seen by telemedicine compared to prepandemic in-person visits (p < 0.001). Patients with deep brain stimulators were more likely to use telemedicine (11.5% vs. 7%, p < 0.001). CONCLUSION: Telemedicine is feasible, viable and relevant in the care of movement disorder patients, although health care disparities appear evident for women and minorities. Patients with deep brain stimulators preferred telemedicine in our study. Further study is warranted to explore these findings.

Current Procedural Terminology-based Procedure Categorization Enhances Cost Prediction of Medicare Severity Diagnosis Related Group in Spine Surgery.

STUDY DESIGN: Retrospective cohort study. OBJECTIVE: The aim of this study was to analyze how a Current Procedural Terminology (CPT)-based categorization method can predict cost variation in surgical spine procedures. SUMMARY OF BACKGROUND DATA: Neck and back disorders affect a majority of the adult population and account for tens of billions of dollars in health care spending each year. In the era of bundled payments and value-based reimbursement, it is imperative for surgeons to identify sources of cost variability across surgical spine procedures. Historically, this has been accomplished using Medicare Severity Diagnosis Related Group (MS-DRG) codes, but they utilize an overly simplistic categorization of surgical procedures. The specificity and familiarity of the CPT coding structure makes it a better option for categorizing differences in surgical decision making and technique. METHODS: Hospital billing data for patients undergoing a surgical spine procedure requiring an overnight, in-patient stay was retrospectively collected over 4 fiscal years (2012-2016) from a single health care system. Linear regression analysis was performed to assess the correlation between cost variation and: spine-specific MS-DRG codes; a novel CPT-based categorization method; and the combination of MS-DRG codes and CPT-based categorization. RESULTS: There were 5020 surgical procedures were analyzed with respect to 16 different MS-DRG codes and 30 distinct CPT-based surgical categories (CSCs). Linear regression results were: MS-DRG R2 = 0.6545 (P < 0.001); CSC R2 = 0.5709 (P < 0.001); and R2 = 0.744 for the combined MS-DRG and CSC methods (P < 0.05). Median difference between the actual and predicted cost for the combined model was -$261.00, compared with -$727.50 for the CSC model and -$478.70 for the MS-DRG model. CONCLUSION: Addition of the CPT-based categorization method to MS-DRG coding provides an enhanced method to evaluate the association between predicted and actual cost when using linear regression analysis to assess cost variation in spine surgery.Level of Evidence: 3.

Comparing Activity Trackers With vs. Without Alarms to Increase Postoperative Ambulation: A Randomized Control Trial.

Early ambulation is a key component to postoperative recovery; however, measuring steps taken is often inconsistent and nonstandardized. This study aimed to determine whether an activity tracker with alarms would increase postoperative ambulation in patients after elective colorectal procedures. Forty-eight patients were randomly assigned to either trackers with 5 daily alarms or activity trackers alone. Over 223 total patient days, the trackers recorded a complete data set for 216 patient days (96.9%). Increasing the postoperative day significantly affected the number of steps taken, while age, sex, Risk Analysis Index score, and approach (laparoscopic versus open) did not show a significant effect. The mean steps per day in the intervention group were 1468 (median 495; interquartile range (IQR) 1345) and in the control group was 1645 (median 1014; IQR 2498). The use of trackers with alarms did not significantly affect the number of daily steps compared to trackers alone (ANOVA, P = .93). Although activity trackers with alarms did not increase postoperative ambulation compared with trackers with no alarms, we demonstrated a strategy to operationalize the use of trackers into postoperative care to provide a quantitative value for ambulation. This enables quantification of a key component in the Enhanced Recovery After Surgery protocol.

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.