The intersection of race and social determinants of health on clinical outcome of glioblastoma patients.

OBJECTIVE: Resection, chemotherapy, radiation therapy, and tumor treating fields significantly increase the overall survival (OS) of glioblastoma (GBM) patients. Yet, cost and healthcare disparities might limit access. Multiple studies have attributed more than 80% of the GBM disease burden to White patients. The aim of this study was to explore the intersections of race and social determinants of health (SDoH) with healthcare access and outcomes of GBM patients in a large metropolitan area. METHODS: In this retrospective single-center study, the tumor registry at the authors' institution (2011-2019) was queried to identify a GBM cohort according to the updated WHO criteria. Data were supplemented by electronic health records to include demographics, outcome, National Cancer Institute Comorbidity Index (NCI-CI), and the Agency for Healthcare Research and Quality (AHRQ) socioeconomic status (SES) index. RESULTS: A total of 276 unique patients met the study inclusion criteria; 46% of the cohort was female, and 45% was non-White. This racial proportion differs from previous reports indicating that 80% of patients with GBM are White. The proportion of non-White patients in this study was similar to that of the general US population and significantly lower than that of New York City (p < 0.05). Non-White patients predominantly composed the lowest AHRQ SES index quartile, while White patients constituted the highest quartile (p < 0.001). White patients were older at diagnosis compared with non-White patients (63 vs 58 years, p = 0.001). Older age (p = 0.03), higher NCI-CI (p = 0.0006), and lack of insurance (p = 0.03) reduced the odds of a home discharge. Private insurance (p = 0.005), younger age (p = 0.02), and the highest ("wealthiest") AHRQ SES index quartile (p = 0.02) predicted a lower hospital length of stay (LOS). Patients who underwent gross-total resection had greater OS than those who received a subtotal resection or biopsy, independent of race and SDoH (1.68 vs 1.4 years, p = 0.022). CONCLUSIONS: This study is the first to report on race and SDoH of a cohort using the latest WHO criteria for GBM classification. In contrast to previous literature, the study cohort exhibits a higher proportion of non-White patients with GBM, similar to the representation of non-White individuals in the general US population. This study corroborates the impact of SDoH and not race on LOS and discharge location. Initiatives to identify and address these barriers are crucial for enhancing the care of all GBM patients.

National Trends in Orthopaedic Pain Management from 2016 to 2020.

INTRODUCTION: Effective pain management is vital in orthopaedic care, impacting postoperative recovery and patient well-being. This study aimed to discern national and regional pain prescription trends among orthopaedic surgeons through Medicare claims data, using geospatial analysis to ascertain opioid and nonopioid usage patterns across the United States. METHODS: Physician-level Medicare prescription databases from 2016 to 2020 were filtered to orthopaedic surgeons, and medications were categorized into opioids, muscle relaxants, anticonvulsants, and NSAIDs. Patient demographics were extracted from a Medicare provider demographic data set, while county-level socioeconomic metrics were obtained primarily from the American Community Survey. Geospatial analysis was conducted using Geoda software, using Moran I statistic for cluster analysis of pain medication metrics. Statistical trends were analyzed using linear regression, Mann-Whitney U test, and multivariate logistic regression, focusing on prescribing rates and hotspot/coldspot identification. RESULTS: Analysis encompassed 16,505 orthopaedic surgeons, documenting more than 396 million days of pain medication prescriptions: 57.42% NSAIDs, 28.57% opioids, 9.84% anticonvulsants, and 4.17% muscle relaxants. Annually, opioid prescriptions declined by 4.43% ( P < 0.01), while NSAIDs rose by 3.29% ( P < 0.01). Opioid prescriptions dropped by 210.73 days yearly per surgeon ( P < 0.005), whereas NSAIDs increased by 148.86 days ( P < 0.005). Opioid prescriptions were most prevalent in the West Coast and Northern Midwest regions, and NSAID prescriptions were most prevalent in the Northeast and South regions. Regression pinpointed spine as the highest and hand as the lowest predictor for pain prescriptions. DISCUSSION: On average, orthopaedic surgeons markedly decreased both the percentage of patients receiving opioids and the duration of prescription. Simultaneously, the fraction of patients receiving NSAIDs dramatically increased, without change in the average duration of prescription. Opioid hotspots were located in the West Coast, Utah, Colorado, Arizona, Idaho, the Northern Midwest, Vermont, New Hampshire, and Maine. Future directions could include similar examinations using non-Medicare databases.

Disparities in Access to Robotic Knee Arthroplasty: A Geospatial Analysis.

BACKGROUND: The utilization of robotic knee arthroplasty (RKA) continues to increase across the United States. The aim of this geospatial analysis was to elucidate if RKA is distributed uniformly across the United States or if disparities exist in patient access. METHODS: Publicly available provider-finding functions for 5 major manufacturers of RKA systems were used to obtain the practice locations of surgeons performing RKA along with their associated RKA system manufacturer. The average travel distance for each county to the nearest RKA surgeon was calculated and Moran's index clustering analysis was used to find hotspots and coldspots of RKA access. A logistic regression model was used to identify the predictive odds ratios between robotic hotspots and coldspots with county-level sociodemographic variables. Of the 34,216 currently practicing orthopedic surgeons in 2022, 2,571 have access to robotic assistance for knee arthroplasty. RESULTS: Hotspots of increased travel time were predominantly in West South Central and West North Central census regions. Hotspots were significantly more rural and consisted of predominantly White populations, with lower median income and health insurance coverage. CONCLUSIONS: The results of the current study align with existing literature, demonstrating absolute geographic access disparities for rural and economically disadvantaged populations. Additionally, relative access disparities persist for minority populations and individuals with high comorbidity burdens residing in urban areas.

Trends in medical device company payments in neurosurgery: a nationwide, multidatabase, geospatial analysis.

OBJECTIVE: Industry partnerships help advance the field of neurosurgery. Given the nature of the field and its close relationship with innovation, neurosurgeons frequently partner with the medical device industry to advance technology and improve outcomes. However, this can create important ethical concerns for patients. In this paper, the authors sought to comprehensively study how physician payments from medical device companies have changed and what geographic parameters influence the trends observed over the years. METHODS: The authors queried and merged several large databases, including Medicare and Medicaid provider usage data and databases from the Open Payments Program, National Plan and Provider Enumeration System, and US Census Bureau. Geospatial analysis was performed using Moran's I and II clustering. Univariate and multivariable analyses were performed using the Mann-Whitney U-test and geospatially weighted multivariable regression for hot spot and cold spot membership. RESULTS: Data for 952 counties across the continental United States were analyzed. Ninety-seven counties constituted geographic hot spots. These hot spots were primarily concentrated in Florida, the New York-Pennsylvania region, central Colorado, and southwestern United States. Independent predictors of hot spot membership included greater unemployment rates, the percentage of White patients, the presence of mobile homes, and the percentage of county Hispanic and Black populations. Company-based differences were examined. The vast majority of Medtronic's payments were in the form of royalties and licensing (86.6%). Royalties and licensing accounted for the majority of payments for DePuy (69.4%), Globus Medical (62%), and NuVasive (77.1%). In contrast, other companies, such as Boston Scientific, opted to pay physicians in the form of ownership and investment interests (42.1%). The impact of the COVID-19 pandemic was also assessed. During the onset of the pandemic in 2020, physician payments fell or remained the same across all regions with the exception of the South Atlantic region. However, it was observed that nearly all regions rebounded, with stark elevations in physician payments immediately in 2021. CONCLUSIONS: This analysis demonstrates that there are national hot spots and cold spots of physician payments, and offers some social, economic, and company-dependent predictors that may influence the magnitude of payments. Further analysis is needed to better understand this clinical-commercial partnership in healthcare, specifically within neurosurgical practice.

Factors influencing geographic gender disparity in neurosurgery: a nationwide geospatial clustering analysis.

OBJECTIVE: Women neurosurgeons (WNs) continue to remain a minority in the specialty despite significant initiatives to increase their representation. One domain less explored is the regional distribution of WNs, facilitated by the hiring practices of neurosurgical departments across the US. In this analysis, the authors coupled the stated practice location of WNs with regional geospatial data to identify hot spots and cold spots of prevalence and examined regional predictors of increases and decreases in WNs over time. METHODS: The authors examined the National Provider Identifier (NPI) numbers of all neurosurgeons obtained via the National Plan and Provider Enumeration System (NPPES), identifying the percentage of WNs in each county for which data were appended with data from the US Census Bureau. Change in WN rates was identified by calculating a regression slope for all years included (2015-2022). Hot spots and cold spots of WNs were identified through Moran's clustering analysis. Population and surgeon features were compared for hot spots and cold spots. RESULTS: WNs constituted 10.73% of all currently active neurosurgical NPIs, which has increased from 2015 (8.81%). Three hot spots were found-including the Middle Atlantic and Pacific divisions-that contrasted with scattered cold spots throughout the East Central regions that included Memphis as a major city. Although relatively rapidly growing, hot spots had significant gender inequality, with a median WN percentage of 11.38% and a median of 0.61 WNs added to each respective county per year. CONCLUSIONS: The authors analyzed the prevalence of WNs by using aggregated data from the NPPES and US Census Bureau. The authors also show regional hot spots of WNs and that the establishment of WNs in a region is a predictor of additional WNs entering the region. These data suggest that female neurosurgical mentorship and representation may be a major driver of acceptance and further gender diversity in a given region.

Understanding Geospatial Trends in Lumbar Fusion Incidence and Technique in Medicare Populations.

STUDY DESIGN: Retrospective study with epidemiologic analysis of public Medicare data. OBJECTIVE: This study seeks to utilize geospatial analysis to identify distinct trends in lumbar fusion incidence and techniques in Medicare populations. SUMMARY OF BACKGROUND DATA: With an aging population and new technologies, lumbar fusion is an increasingly common procedure. There is controversy, however, regarding which indications and techniques achieve optimal outcomes, leading to significant intersurgeon variation and potential national disparities in care. MATERIALS AND METHODS: Medicare billing datasets were supplemented with Census Bureau socioeconomic data from 2013 to 2020. These databases listed lumbar fusions billed to Medicare by location, specialty, and technique. Hotspots and coldspots of lumbar fusion incidence and technique choice were identified with county-level analysis and compared with Mann-Whitney U . A linear regression of fusion incidence and a logistic regression of lumbar fusion hotspots/coldspots were also calculated. RESULTS: Between 2013 and 2020, 624,850 lumbar fusions were billed to Medicare. Lumbar fusion hotspots performed fusions at nearly five times the incidence of coldspots (101.6-21.1 fusions per 100,000 Medicare members) and were located in the Midwest, Colorado, and Virginia while coldspots were in California, Florida, Wisconsin, and the Northeast. Posterior and posterolateral fusion were the most favored techniques, with hotspots in the Northeast. Combined posterior and posterolateral fusion and posterior interbody fusion was the second most favored technique, predominantly in Illinois, Missouri, Arkansas, and Colorado. CONCLUSIONS: The geographic distribution of lumbar fusions correlates with variations in residency training, fellowship, and specialty. The geospatial patterning in both utilization and technique reflects a lack of consensus in the application of lumbar fusion. The strong variance in utilization is a potentially worrying finding that could suggest that the nonstandardization of lumbar fusion indication has led to both overtreatment and undertreatment across the nation. LEVEL OF EVIDENCE: Level 3-retrospective.

Long-term assessment of the functional independence measure in sports-related spinal cord injury.

CONTEXT: Patients with spinal cord injury (SCI) secondary to traumatic sports-related etiology potentially face loss of independence. The Functional Independence Measure (FIM) assesses the amount of assistance patients require and has shown sensitivity to changes in patient functional status post injury. OBJECTIVES: We aimed to (1) examine long-term outcomes following sports-related SCI (SRSCI) using FIM scoring at the time of injury, one year, and five years post-injury, and (2) determine predictors of independence at one and five-year follow-up considering surgical and non-surgical management. Few studies have investigated the cohort analyzed in this study. METHODS: The 1973-2016 National Spinal Cord Injury Model Systems (SCIMS) Database was used to develop a SRSCI cohort. The primary outcome of interest captured functional independence using a multivariate logistic regression, defined by FIM individual scores greater than or equal to six, evaluated at one and five years. RESULTS: A total of 491 patients were analyzed, 60 (12%) were female, 452 (92%) underwent surgery. The cohort demographics were stratified by patients with and without spine surgery and evaluated for functional independence in FIM subcategories. Increased time spent in inpatient rehabilitation and FIM score at post-operative discharge were associated with greater likelihood of functional ability at both one and five-year follow-up. CONCLUSION: Our study demonstrated that SRSCI patients are a unique subset of SCI patients for whom factors repeatedly associated with independence at one year follow-up were dissimilar to those associated with independence at five-year follow-up. Larger prospective studies should be conducted to establish guidelines for this unique subcategory of SCI patients.

Geospatial Evaluation of Disparities in Access to Cervical Spine Fusion in Metropolitan Areas Across the United States.

STUDY DESIGN: Retrospective study with epidemiologic analysis of public Medicare data. OBJECTIVE: The purpose of this study is to use geospatial analysis to identify disparities in access to cervical spine fusions in metropolitan Medicare populations. SUMMARY OF BACKGROUND DATA: Cervical spine fusion is among the most common elective procedures performed by spine surgeons and is the most common surgical intervention for degenerative cervical spine disease. Although some studies have examined demographic and socioeconomic trends in cervical spine fusion, few have attempted to identify where disparities exist and quantify them at a community level. METHODS: Center for Medicare and Medicaid Services physician billing and Medicare demographic data sets from 2013 to 2020 were filtered to contain only cervical spine fusion procedures and then combined with US Census socioeconomic data. The Moran Index geospatial clustering algorithm was used to identify statistically significant hotspot and coldspots of cervical spine fusions per 100,000 Medicare members at a county level. Univariate and multivariate analysis was subsequently conducted to identify demographic and socioeconomic factors that are associated with access to care. RESULTS: A total of 285,405 cervical spine fusions were analyzed. Hotspots of cervical spine fusion were located in the South, while coldspots were throughout the Northern Midwest, the Northeast, South Florida, and West Coast. The percent of Medicare patients that were Black was the largest negative predictor of cervical spine fusions per 100,000 Medicare members ( ß =-0.13, 95% CI: -0.16, -0.10). CONCLUSIONS: Barriers to access can have significant impacts on health outcomes, and these impacts can be disproportionately felt by marginalized groups. Accounting for socioeconomic disadvantage and geography, this analysis found the Black race to be a significant negative predictor of access to cervical spine fusions. Future studies are needed to further explore potential socioeconomic barriers that exist in access to specialized surgical care. LEVEL OF EVIDENCE: Level III-retrospective.

Social Determinants of Health Impact Spinal Cord Injury Outcomes in Low- and Middle-Income Countries: A Meta-Epidemiological Study.

BACKGROUND AND OBJECTIVES: Traumatic spinal cord injuries (SCI), which disproportionally occur in low- and middle-income countries (LMICs), pose a significant global health challenge. Despite the prevalence and severity of SCI in these settings, access to appropriate surgical care and barriers to treatment remain poorly understood on a global scale, with data from LMICs being particularly scarce and underreported. This study sought to examine the impact of social determinants of health (SDoH) on the pooled in-hospital and follow-up mortality, and neurological outcomes, after SCI in LMICs. METHODS: A systematic review was conducted in adherence to the Preferred Reporting in Systematic Review and Meta-Analysis-guidelines. Multivariable analysis was performed by multivariable linear regression, investigating the impact of the parameters of interest (patient demographics, country SDoH characteristics) on major patient outcomes (in-hospital/follow-up mortality, neurological dysfunction). RESULTS: Forty-five (N = 45) studies were included for analysis, representing 13 individual countries and 18 134 total patients. The aggregate pooled in-hospital mortality rate was 6.46% and 17.29% at follow-up. The in-hospital severe neurological dysfunction rate was 97.64% and 57.36% at follow-up. Patients with rural injury had a nearly 4 times greater rate of severe in-hospital neurological deficits than patients in urban areas. The Gini index, reflective of income inequality, was associated with a 23.8% increase in in-hospital mortality, a 20.1% decrease in neurological dysfunction at follow-up, and a 12.9% increase in mortality at follow-up. CONCLUSION: This study demonstrates the prevalence of injury and impact of SDoH on major patient outcomes after SCI in LMICs. Future initiatives may use these findings to design global solutions for more equitable care of patients with SCI.

The current state of global contribution to open access publishing in neurosurgery: A bibliometric analysis.

•The top three countries made up 56.7% of the total open-access (OA) contributions.•Low and lower-middle-income countries are less than 8% of the total OA publications.•There is a disparity in academic voice in the neurosurgical literature.•Disparities potentially affect neurosurgery practice and knowledge dissemination.

A comprehensive assessment of self-reported symptoms among patients harboring an unruptured intracranial aneurysm.

Background: Approximately 3.2%-6% of the general population harbor an unruptured intracranial aneurysm (UIA). Ruptured aneurysms represent a significant healthcare burden, and preventing rupture relies on early detection and treatment. Most patients with UIAs are asymptomatic, and many of the symptoms associated with UIAs are nonspecific, which makes diagnosis challenging. This study explored symptoms associated with UIAs, the rate of resolution of such symptoms after microsurgical treatment, and the likely pathophysiology. Methods: A retrospective review of patients with UIAs who underwent microsurgical treatment from January 1, 2014, to December 31, 2020, at a single quaternary center were identified. Analyses included the prevalence of nonspecific symptoms upon clinical presentation and postoperative follow-up; comparisons of symptomatology by aneurysmal location; and comparisons of patient demographics, aneurysmal characteristics, and poor neurologic outcome at postoperative follow-up stratified by symptomatic versus asymptomatic presentation. Results: The analysis included 454 patients; 350 (77%) were symptomatic. The most common presenting symptom among all 454 patients was headache (n = 211 [46%]), followed by vertigo (n = 94 [21%]), cognitive disturbance (n = 68[15%]), and visual disturbance (n = 64 [14%]). Among 328 patients assessed for postoperative symptoms, 258 (79%) experienced symptom resolution or improvement. Conclusion: This cohort demonstrates that the clinical presentation of patients with UIAs can be associated with vague and nonspecific symptoms. Early detection is crucial to prevent aneurysmal subarachnoid hemorrhage. It is imperative that physicians not rule out aneurysms in the setting of nonspecific neurologic symptoms.

Geospatial evaluation of disparities in neurosurgical access in the United States.

When neurosurgical care is needed, the distance to a facility staffed with a neurosurgeon is critical. This work utilizes geospatial analysis to analyze access to neurosurgery in the Medicare population and relevant socioeconomic factors. Medicare billing and demographic data from 2015 to 2019 were combined with national National Provider Identifier (NPI) registry data to identify the average travel distance to reach a neurosurgeon as well as the number of neurosurgeons in each county. This was merged with U.S. Census data to capture 23 socioeconomic attributes. Moran's I statistic was calculated across counties. Socioeconomic variables were compared using ANOVA. Hotspots with the highest neurosurgeon access were predominantly located in the Mid-Atlantic region, central Texas, and southern Montana. Coldspots were found in the Great Plains, Midwest, and Southern Texas. There were statistically significant differences (p < 0.05) between high- and low-access counties, including: stroke prevalence, poverty, median household income, and total population density. There were no statistically significant differences in most races or ethnicities. Overall, there exist statistically significant clusters of decreased neurosurgery access within the United States, with varying sociodemographic characteristics between access hotspots and coldspots.

Robotic external ventricular drain placement for acute neurosurgical care in low-resource settings: feasibility considerations and a prototype design.

OBJECTIVE: Emergency neurosurgical care in lower-middle-income countries faces pronounced shortages in neurosurgical personnel and infrastructure. In instances of traumatic brain injury (TBI), hydrocephalus, and subarachnoid hemorrhage, the timely placement of external ventricular drains (EVDs) strongly dictates prognosis and can provide necessary stabilization before transfer to a higher-level center of care that has access to neurosurgery. Accordingly, the authors have developed an inexpensive and portable robotic navigation tool to allow surgeons who do not have explicit neurosurgical training to place EVDs. In this article, the authors aimed to highlight income disparities in neurosurgical care, evaluate access to CT imaging around the world, and introduce a novel, inexpensive robotic navigation tool for EVD placement. METHODS: By combining the worldwide distribution of neurosurgeons, CT scanners, and gross domestic product with the incidence of TBI, meningitis, and hydrocephalus, the authors identified regions and countries where development of an inexpensive, passive robotic navigation system would be most beneficial and feasible. A prototype of the robotic navigation system was constructed using encoders, 3D-printed components, machined parts, and a printed circuit board. RESULTS: Global analysis showed Montenegro, Antigua and Barbuda, and Seychelles to be primary candidates for implementation and feasibility testing of the novel robotic navigation system. To validate the feasibility of the system for further development, its performance was analyzed through an accuracy study resulting in accuracy and repeatability within 1.53 ± 2.50 mm (mean ± 2 × SD, 95% CI). CONCLUSIONS: By considering regions of the world that have a shortage of neurosurgeons and a high incidence of EVD placement, the authors were able to provide an analysis of where to prioritize the development of a robotic navigation system. Subsequently, a proof-of-principle prototype has been provided, with sufficient accuracy to target the ventricles for EVD placement.