CORR Insights®: Do Disparities in Wait Times to Operative Fixation for Pathologic Fractures of the Long Bones and 30-day Complications Exist Between Black and White Patients? A Study Using the NSQIP Database

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
David N. Bernstein
2019 ◽  
Vol 214 ◽  
pp. 46-53
Author(s):  
Lonnie T. Sullivan ◽  
Hillary Mulder ◽  
Karen Chiswell ◽  
Linda K. Shaw ◽  
Tracy Y. Wang ◽  
...  

2018 ◽  
Vol 192 ◽  
pp. 371-376 ◽  
Author(s):  
Julie R. Gaither ◽  
Kirsha Gordon ◽  
Stephen Crystal ◽  
E. Jennifer Edelman ◽  
Robert D. Kerns ◽  
...  

1993 ◽  
Vol 6 (10) ◽  
pp. 815-823 ◽  
Author(s):  
Michael J. Koren ◽  
George A. Mensah ◽  
James Blake ◽  
John H. Laragh ◽  
Richard B. Devereux

2021 ◽  
Author(s):  
Joanne Weinreb ◽  
Penina Gavrilova ◽  
Jonathan Avery ◽  
Sean M. Murphy ◽  
Jyotishman Pathak

Abstract BackgroundRacial and ethnic health disparities have been linked with inequalities in access to health care and outcomes. The present study considers whether inequalities persist between racial/ethnic groups among patients with mental health or substance use disorders who visit the emergency department (ED). MethodsWe analyzed data from the National Hospital Ambulatory Medical Care Survey (NHAMCS) from 2012-2018, assessing health disparities among patients diagnosed with mental health or substance use disorders by observing whether significant differences exist in ED wait time and length of visit (LOV) for patients of different races/ethnicities. Stratified models were performed to further understand the impact of regions across the U.S., year, and triage level on the association analysis. ResultsFrom 2012-2018, non-Hispanic Black and Hispanic patients experienced significantly longer ED wait times and LOV as compared to White patients. Patients with private insurance experienced significantly shorter wait times compared to patients with self-pay, and shorter LOV than those with Medicaid/ Children’s Health Insurance Program, or Medicare. Male patients had significantly longer LOV compared to female patients. We observed year by year differences in wait times of non-Hispanic Black patients with improvement appearing between the years 2013 to 2016, while LOV remained consistently longer. We observed both regional and triage level differences, with the U.S. Northeast presenting with the most disparities. Additionally, we noted a general upward trend of SUD diagnoses. Conclusion Our analysis suggests that while there has been an overall improvement in median ED wait time through the years, non-Hispanic Black and Hispanic patients experience significantly longer ED wait time compared to non-Hispanic White patients. Additionally, non-Hispanic Black and Hispanic patients have a significantly longer ED LOV compared to non-Hispanic White patients.


2021 ◽  
Author(s):  
Tomi Jun ◽  
Divij Mathew ◽  
Navya Sharma ◽  
Sharon Nirenberg ◽  
Hsin-Hui Huang ◽  
...  

Objectives: To compare risk factors for COVID-19 mortality among hospitalized Hispanic, Non-Hispanic Black, and White patients. Design: Retrospecitve cohort study Setting: Five hosptials within a single academic health system Participants: 3,086 adult patients with self-reported race/ethnicity information presenting to the emergency department and hospitalized with COVID-19 up to April 13, 2020. Main outcome measures: In-hospital mortality Results: While older age (multivariable OR 1.06, 95% CI 1.05-1.07) and baseline hypoxia (multivariable OR 2.71, 95% CI 2.17-3.36) were associated with increased mortality overall and across all races/ethnicities, Non-Hispanic Black (median age 67, IQR 58-76) and Hispanic (median age 63, IQR 50-74) patients were younger and had different comorbidity profiles compared to Non-Hispanic White patients (median age 73, IQR 62-84; p<0.05 for both comparisons). Among inflammatory markers associated with COVID-19 mortality, there was a significant interaction between the Non-Hispanic Black population and interleukin-1-beta (interaction p-value 0.04). Conclusions: This analysis of a multi-ethnic cohort highlights the need for inclusion and consideration of diverse popualtions in ongoing COVID-19 trials targeting inflammatory cytokines.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 9-9
Author(s):  
Emelly Rusli ◽  
Lihong Diao ◽  
Cynthia Liu ◽  
Mona A Kelkar ◽  
Lisa Ensign ◽  
...  

Background: Past studies have indicated a potential racial disparity in Multiple Myeloma (MM) survival between black and white patients (Costa et al., 2017; Marinac et al., 2020), an issue compounded by minority underrepresentation in clinical trials (Ailawadhi et al., 2018). To better understand how racial disparities affect both MM survival and access to treatment, we performed an analysis of pooled clinical trial (CT) and Real-World EMR Data (RWD). Methods: Eligible Phase II and III open-label MM clinical trials were identified from the Medidata Enterprise Data Store, which comprises over 22,000 historical clinical trials, for de-identified aggregate analyses. De-identified Oncology RWD was sourced from the Guardian Research Network of integrated delivery systems from 2016 to 2020. Baseline characteristics were analyzed in both cohorts. Race was categorized as black, white, or other. Overall Survival (OS) was assessed using Kaplan-Meier analysis. In the RWD, therapy utilization was assessed by race. Results: The RWD contained 5871 patients, with 17.5% black, 78.3% white, and 4.2% other race. Median age in years at diagnosis was 69 for blacks, 72 for whites, and 70 for other races. The gender breakdown was 54.2% female in blacks, 46.0% in whites, 45.9% in those of other races respectively. Median number of prior regimens was 2, with no differences between racial groups. The CT data contained 851 patients, with 1.4% black, 93.5% white, and 5.1% other race. Median age in years at diagnosis was 62 for blacks, 58 for whites, and 55 for other races. The gender breakdown was 33.3% female in blacks, 43.5% in whites, and 46.7% in those of other races respectively. Median number of prior regimens was 5, with no differences between racial groups. There was no statistically significant difference in OS between racial groups in either dataset. In the CT data with median follow-up of 7.8 years, survival from date of diagnosis to last visit or date of death was 25% for blacks and 18% for whites. Currently, in the RWD, 3-year survival comparing blacks to whites is 85% to 83%. The proportion of treated RWD patients appears to be similar between black and white patient groups, with 56% of white and 53% of black patients receiving 1st line therapy, and 33% and 31% receiving 2nd line therapy, respectively. Among newer therapy modalities, white patients had a higher utilization of targeted antibody agent daratumumab (8.7% utilization among whites, 5.2% in blacks, p&lt;0.001), and although not statistically different, proteasome inhibitor carfilzomib use was also higher among whites compared to blacks (6.5% versus 5.5%). Mono daratumumab and ixazomib were used as 1st-line therapy in white patients, while these agents were administered in combination with other treatments in black patients. Adjusting for age and novel therapy use, there was also a suggestion that treatment initiation after diagnosis occurred earlier in whites than blacks (median 1.1 years vs. 1.6 years, p=0.3). Conclusions: Though there were no demonstrated differences in survival between racial groups in either dataset, the RWD suggested differences in treatment utilization, with underutilization of novel therapies like proteasome inhibitors and targeted antibody therapy and later treatment initiation in blacks. Previous studies (Fiala et al., 2017) have noted similar trends, which suggest that therapeutic advances may not be equitably available to all racial groups. This observation could not be replicated in CT data, but merits further exploration. Despite black patients making up 17.5% of patients in the RWD, a racial distribution consistent with published literature (Rosenberg et al., 2015), black patients made up only 1.3% of patients in the CT data. Furthermore, in the CT data, the median age of black patients was older than that of the white and other race groups (62 years compared to 58 and 55, respectively). This observation is magnified by evidence in both the RWD and other datasets (Fillmore et al., 2019) that shows a younger age of onset in black MM patients. Given the strong correlation between age and poorer outcomes in MM (Ludwig et al.,2008), it is possible that these clinical trials are not capturing a representative black patient population, and results may not be generalizable to other groups. Recruitment of black patients should remain a priority in clinical studies in order to effectively assess racial disparities in MM treatment access and survival. Disclosures Rusli: Acorn AI by Medidata, a Dassault Systemes Company: Current Employment, Current equity holder in publicly-traded company. Diao:Acorn AI by Medidata, a Dassault Systemes Company: Current Employment. Liu:Acorn AI by Medidata, a Dassault Systemes Company: Current Employment. Kelkar:Acorn AI by Medidata, a Dassault Systemes Company: Current Employment. Ensign:Acorn AI by Medidata, a Dassault Systemes Company: Current Employment, Current equity holder in publicly-traded company. Watson:Guardian Research Network, Inc.: Current Employment. Galaznik:Acorn AI by Medidata, a Dassault Systemes Company: Current Employment, Current equity holder in publicly-traded company.


Lupus ◽  
2021 ◽  
pp. 096120332110558
Author(s):  
James K Sullivan ◽  
Emily A Littlejohn

Background Black patients with systemic lupus erythematosus (SLE) face higher rates of morbidity and mortality compared to White patients. Long-term glucocorticoid use has been associated with worse health outcomes among patients with SLE. We sought to quantify chronic glucocorticoid use among Black and White patients with SLE within a prospective registry. Methods Using enrollment data from a registry at a large academic institution, we compared glucocorticoid use among Black and White patients with SLE. Multivariable logistic regression of race and glucocorticoid use was performed, adjusting for covariates exhibiting a bivariate association with glucocorticoids at significance level p < 0.10. Results 114 White participants (mean age 45; standard deviation (SD) 15) and 59 Black participants (mean age 42; SD 14) were analyzed. White participants had mean SLEDAI-2K score of 3.7 (SD 5.2). Black participants had mean SLEDAI-2K scores of 6.3 (SD 6.0). Among Black participants, 43 (72%) utilized glucocorticoids compared to White participants 39 (34%) (unadjusted odds ratio (OR) 5.17; 95% confidence interval (CI) 2.59–10.33). We did not observe differences between unadjusted hydroxychloroquine (OR 0.69; 95% CI 0.28–1.65) or conventional disease-modifying anti-rheumatic drug (cDMARD) (OR 1.07; 95% CI 0.57–2.01) utilization among Black and White participants. SLEDAI-2K, disability, recent hospitalization, and past or present hydroxychloroquine or cDMARD use were included in a logistic regression model. Adjusting for covariates, Black participants were more likely to be on glucocorticoids (adjusted OR 5.69; 95% CI 2.17–14.96); p = 0.0004). Conclusion Adjusting for disease activity and other medications, Black patients had more exposure to chronic glucocorticoids than White patients in the Cleveland Clinic SLE registry. These patients may face increased glucocorticoid-related morbidity, which could contribute significantly to long-term health outcomes and utilization of health care resources. Future research in larger, more diverse registries should be conducted to further characterize patterns of glucocorticoid use.


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Larry R Jackson ◽  
Kevin L Thomas ◽  
Wojciech Zareba ◽  
Marc Lahiri ◽  
Samir Saba ◽  
...  

Introduction: There are limited data on the risk of inappropriate and appropriate ICD therapy and on the efficacy of different ICD programing strategies as a function of race. Methods: In MADIT-RIT, we evaluated the risk of inappropriate and appropriate ICD therapy by self identified race, and assessed the efficacy of improved ICD programming with either a high rate cut-off VT zone ≥ 200 bpm (Arm B), or long 60 sec delay in the VT zone 170-190 bpm (Arm C), as compared to conventional ICD programming with 2.5 sec delay beginning at 170 bpm (Arm A) among black and white patients. Results: MADIT-RIT enrolled 272 (20%) black and 1119 (80%) white patients. Black patients were younger, more often females, they more often had non-ischemic etiology of cardiomyopathy, a narrower QRS and they were less often implanted with CRT-D. The risk of inappropriate ICD therapy was similar among black and white patients (HR 1.25, 95% CI 0.82-1.93, P=0.30) after adjustment for relevant covariates. High rate cut-off or delayed VT therapy was associated with significant reductions in inappropriate ICD therapy among white patients (Arm B vs. Arm A, HR 0.15, P<0 .0001, Arm C vs. Arm A, HR 0.19, P 0.10). However, delayed VT therapy (Arm C) when compared to Arm A, was associated with greater reduction in appropriate ICD therapy in black patients (HR 0.08, P<0.0001), as compared to white patients (HR 0.27, P<0.0001, P interaction=0.07). There were no appropriate ICD therapies in the 170-200 bpm range in Arm C with delayed VT therapy programming in black patients, and a further reduction in appropriate ICD therapy ≥ 200 bpm (Arm C vs. Arm A, HR=0.16, p<0.001). Conclusion: In MADIT-RIT, there were similar reductions in inappropriate ICD therapy among black and white patients with improved ICD programming. However, black patients derived more benefit from delayed VT zone programming with greater reduction in appropriate ICD therapy compared to whites, due to a higher rate of self-terminating VT events.


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