ABSTRACT
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.
ABSTRACT
While research and efforts to promote health equity abound, the persistence of disparities by race and ethnicity underscores the limitations of fragmented interventions and the need for systematic, multipronged approaches to health equity. The foundational step towards reducing health disparities is the establishment of the basic information needed to identify and measure those differences, i.e., the accurate capture of race and ethnicity information of all patients. To that end, we present a case study outlining a multifaceted approach for improving the capture of race and ethnicity data in an outpatient setting culminating in a 76% improvement in the completeness of this information. The effectiveness of this plan and its scalability within a large urban health system may benefit similar institutions seeking to improve the collection of race and ethnicity information and the reliability of their data. To this aim, we present an approach relying on the assessment and evaluation of system needs, modification of data infrastructure to align with goals, training, and education of relevant stakeholders, implementation and responsive action to results, and acknowledging limitations and lessons learned. We emphasize that cross-departmental collaboration, stakeholder engagement, institutional support, and culture of anti-racism were essential to the success of this initiative.
ABSTRACT
BACKGROUND AND PURPOSE: Coronavirus disease 2019 (COVID-19) has been associated with an increased incidence of thrombotic events, including stroke. However, characteristics and outcomes of COVID-19 patients with stroke are not well known. METHODS: We conducted a retrospective observational study of risk factors, stroke characteristics, and short-term outcomes in a large health system in New York City. We included consecutively admitted patients with acute cerebrovascular events from March 1, 2020 through April 30, 2020. Data were stratified by COVID-19 status, and demographic variables, medical comorbidities, stroke characteristics, imaging results, and in-hospital outcomes were examined. Among COVID-19-positive patients, we also summarized laboratory test results. RESULTS: Of 277 patients with stroke, 105 (38.0%) were COVID-19-positive. Compared with COVID-19-negative patients, COVID-19-positive patients were more likely to have a cryptogenic (51.8% versus 22.3%, P<0.0001) stroke cause and were more likely to suffer ischemic stroke in the temporal (P=0.02), parietal (P=0.002), occipital (P=0.002), and cerebellar (P=0.028) regions. In COVID-19-positive patients, mean coagulation markers were slightly elevated (prothrombin time 15.4±3.6 seconds, partial thromboplastin time 38.6±24.5 seconds, and international normalized ratio 1.4±1.3). Outcomes were worse among COVID-19-positive patients, including longer length of stay (P<0.0001), greater percentage requiring intensive care unit care (P=0.017), and greater rate of neurological worsening during admission (P<0.0001); additionally, more COVID-19-positive patients suffered in-hospital death (33% versus 12.9%, P<0.0001). CONCLUSIONS: Baseline characteristics in patients with stroke were similar comparing those with and without COVID-19. However, COVID-19-positive patients were more likely to experience stroke in a lobar location, more commonly had a cryptogenic cause, and had worse outcomes.
