Geographical Variation in Traumatic Brain Injury Mortality by Proximity to the Nearest Neurosurgeon

Epidemiology and outcomes of brain trauma in rural and urban populations: a systematic review and meta-analysis

OBJECTIVE

To identify and describe differences in demographics, injury characteristics, and outcomes between rural and urban patients suffering brain injury.

DATA SOURCES

CINAHL, Emcare, MEDLINE, and Scopus.

REVIEW METHODS

A systematic review and meta-analysis of studies comparing epidemiology and outcomes of rural and urban brain trauma was conducted in accordance with PRISMA and MOOSE guidelines.

RESULTS

36 studies with ~ 2.5-million patients were included. Incidence of brain injury was higher in males, regardless of location. Rates of transport-related brain injuries, particularly involving motorized vehicles other than cars, were significantly higher in rural populations (OR:3.63, 95% CI[1.58,8.35], p = 0.002), whereas urban residents had more fall-induced brain trauma (OR:0.73, 95% CI[0.66,0.81], p < 0.00001). Rural patients were 28% more likely to suffer severe injury, indicated by Glasgow Coma Scale (GCS)≤8 (OR:1.28, 95% CI[1.04,1.58], p = 0.02). There was no difference in mortality (OR:1.09, 95% CI[0.73,1.61], p = 0.067), however, urban patients were twice as likely to be discharged with a good outcome (OR:0.52, 95% CI[0.41,0.67], p < 0.00001).

CONCLUSIONS

Rurality is associated with greater severity and poorer outcomes of traumatic brain injury. Transport accidents disproportionally affect those traveling on rural roads. Future research recommendations include addition of prehospital data, adequate follow-up, standardized measures, and sub-group analyses of high-risk groups, e.g. Indigenous populations.

Utilization of Locum Tenens in Neurosurgery

INTRODUCTION

Despite its rising popularity, little has been described about locum tenens employment (locums) in neurosurgery. This study provides the first nationwide overview of the locums neurosurgery experience.

METHODS

An anonymous online survey examined practice characteristics of respondents, extent of and satisfaction with locums, motivations for pursuing locums, case volumes, agencies used, compensation, and positive/negative aspects of experiences. Responses were collected between November 2020 and February 2021.

RESULTS

Response rate for the 1852 neurosurgeons who opened the survey request was 4.9%; 36 of 91 respondents had previously worked locums and were commonly motivated by compensation or transitioning to new jobs or retirement. In our response group, 92% of locums respondents had taken more than one position and 47% had taken more than 10. Neurosurgeons performing <200 cases/year were significantly more likely to have also worked locums than those performing >200 cases/year (41.6% locums, 12.7% non-locums, P = 0.001). Responses showed that 69% of locums respondents earned $2000-$2999/day and 16% earned >$3500/day. Nearly 78% of locums respondents were satisfied with their experience(s) and 86% would take another future locums position. Being in practice for >15 years was significantly associated with satisfaction with locums (P = 0.03). Reported flaws included unfamiliarity with hospitals, limited continuity of care, credentialing burdens, and inadequate travel compensation.

CONCLUSIONS

Locums is utilized by neurosurgeons across multiple practice types and may serve to complement workloads or "fill in gaps" between longer-term employment. Overall, locums neurosurgeons are well compensated, and the majority are satisfied with their experience(s). Inevitably, flaws still exist with locums employment, which may be the focus of organized efforts aiming to improve the experience.

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.

Do social determinants of health impact access to neurosurgical care in the United States? A workforce perspective

OBJECTIVE

This study attempts to use neurosurgical workforce distribution to uncover the social determinants of health that are associated with disparate access to neurosurgical care.

METHODS

Data were compiled from public sources and aggregated at the county level. Socioeconomic data were provided by the Brookings Institute. Racial and ethnicity data were gathered from the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research. Physician density was retrieved from the Health Resources and Services Administration Area Health Resources Files. Catchment areas were constructed based on the 628 counties with neurosurgical coverage, with counties lacking neurosurgical coverage being integrated with the nearest covered county based on distances from the National Bureau of Economic Research's County Distance Database. Catchment areas form a mutually exclusive and collectively exhaustive breakdown of the entire US population and licensed neurosurgeons. Socioeconomic factors, race, and ethnicity were chosen as independent variables for analysis. Characteristics for each catchment area were calculated as the population-weighted average across all contained counties. Linear regression analysis modeled two outcomes of interest: neurosurgeon density per capita and average distance to neurosurgical care. Coefficient estimates (CEs) and 95% confidence intervals were calculated and scaled by 1 SD to allow for comparison between variables.

RESULTS

Catchment areas with higher poverty (CE = 0.64, 95% CI 0.34-0.93) and higher prime age employment (CE = 0.58, 95% CI 0.40-0.76) were significantly associated with greater neurosurgeon density. Among categories of race and ethnicity, catchment areas with higher proportions of Black residents (CE = 0.21, 95% CI 0.06-0.35) were associated with greater neurosurgeon density. Meanwhile, catchment areas with higher proportions of Hispanic residents displayed lower neurosurgeon density (CE = -0.17, 95% CI -0.30 to -0.03). Residents of catchment areas with higher housing vacancy rates (CE = 2.37, 95% CI 1.31-3.43), higher proportions of Native American residents (CE = 4.97, 95% CI 3.99-5.95), and higher proportions of Hispanic residents (CE = 2.31, 95% CI 1.26-3.37) must travel farther, on average, to receive neurosurgical care, whereas people living in areas with a lower income (CE = -2.28, 95% CI -4.48 to -0.09) or higher proportion of Black residents (CE = -3.81, 95% CI -4.93 to -2.68) travel a shorter distance.

CONCLUSIONS

Multiple factors demonstrate a significant correlation with neurosurgical workforce distribution in the US, most notably with Hispanic and Native American populations being associated with greater distances to care. Additionally, higher proportions of Hispanic residents correlated with fewer neurosurgeons per capita. These findings highlight the interwoven associations among socioeconomics, race, ethnicity, and access to neurosurgical care nationwide.