scholarly journals Racial and Ethnic Disparities in the Use of High-Volume Hospitals

Author(s):  
Bradford H. Gray ◽  
Mark Schlesinger ◽  
Shannon Mitchell Siegfried ◽  
Emily Horowitz

Differences in the source of care could contribute to racial and ethnic disparities in health status. This study looks at a major metropolitan area and examines racial and ethnic differences in the use of high-volume hospitals for 17 services for which there is a documented positive volume-outcome relationship. Focusing on the hospitalizations of New York City area residents in the periods 1995-1996 and 2001–2002, we found, after controlling for socioeconomic characteristics, insurance coverage, proximity of residence to a high-volume hospital, and paths to hospitalization, that minority patients were significantly less likely than whites to be treated at high-volume hospitals for most volume-sensitive services. The largest disparities were between blacks and whites for cancer surgeries and cardiovascular procedures.

Neurosurgery ◽  
2017 ◽  
Vol 64 (CN_suppl_1) ◽  
pp. 276-276
Author(s):  
Rui Feng ◽  
Mark Finkelstein ◽  
Eric Karl Oermann ◽  
Michael Palese ◽  
John M Caridi

Abstract INTRODUCTION There has been a steady increase in spinal fusion procedures performed each year in the US, especially cervical and lumbar fusion. Our study aims to analyze the rate of increase at low-, medium-, and high-volume hospitals, and socioeconomic characteristics of the patient populations at these three volume categories. METHODS We searched the New York State, Statewide Planning and Research Cooperative System (SPARCS) database from 2005 to 2014 for the ICD-9-CM Procedure Codes 81.01 (Fusion, atlas-axis), 81.02 (Fusion, anterior column, other cervical, anterior technique), and 81.03 (Fusion, posterior column, other cervical, posterior technique). Patients' primary diagnosis (ICD-9-CM), age, race/ethnicity, primary payment method, severity of illness, length of stay, hospital of operation were included. We categorized all 122 hospitals high-, medium-, and low-volume. We then described the trends in annual number of cervical spine fusion surgeries in each of the three hospital volume groups using descriptive statistics. RESULTS >African American patients were significantly greater portion of patients receiving care at low-volume hospitals, 15.1% versus 11.6% at high-volume hospital. Medicaid and self-pay patients were also overrepresented at low-volume centers, 6.7% and 3.9% versus 2.6% and 1.7% respectively at high-volume centers. In addition, Compared with Caucasian patients, African American patients had higher rates of post-operative infection (P = 0.0020) and post-operative bleeding (P = 0.0044). Compared with privately insured patients, Medicaid patients had a higher rate of post-operative bleeding (P = 0.0266) and in-hospital mortality (P = 0.0031). CONCLUSION Our results showed significant differences in racial distribution and primary payments methods between the low- and high-volume categories, and suggests that accessibility to care at high-volume centers remains problematic for these disadvantaged populations.


PEDIATRICS ◽  
2003 ◽  
Vol 112 (Supplement_E1) ◽  
pp. e521-e532
Author(s):  
Laura P. Shone ◽  
Andrew W. Dick ◽  
Cindy Brach ◽  
Kim S. Kimminau ◽  
Barbara J. LaClair ◽  
...  

Background. Elimination of racial and ethnic disparities in health has become a major national goal. The State Children’s Health Insurance Program (SCHIP) has the potential to reduce disparities among the children who enroll if they exhibit the same disparities that have been documented in previous studies of low-income children. To determine the potential impact of SCHIP on racial and ethnic disparities, it is critical to assess baseline levels of health disparities among children enrolling in SCHIP. Objective. To use data from the Child Health Insurance Research Initiative (CHIRI) to 1) describe the sociodemographic profile of new enrollees in SCHIP in Alabama, Florida, Kansas, and New York; 2) determine if there were differences in health insurance and health care experiences among white, black, and Hispanic SCHIP enrollees before enrollment in SCHIP; and 3) explore whether race or ethnicity, controlled for other factors, affected pre-SCHIP access to health coverage and health care. Setting. SCHIP programs in Alabama, Florida, Kansas, and New York, which together include 26% of SCHIP enrollees nationwide. Design. Telephone interview (mailed survey in Alabama) about the child’s health, health insurance, and health care experiences conducted shortly after SCHIP enrollment to assess experience during the time period before SCHIP. Sample. New SCHIP enrollees (0–17.9 years old in Alabama, Kansas, and New York and 11.5–17.9 years old in Florida). Stratified sampling was performed in Kansas and New York, with results weighted to reflect statewide populations of new SCHIP enrollees. Measures. Sociodemographic characteristics including income, education, employment, and other characteristics of the child and the family, race and ethnicity (white non-Hispanic, black non-Hispanic, and Hispanic [any race]), prior health insurance, health care access and utilization, and health status. Analyses. Bivariate analyses were used to compare baseline measures upon enrollment for white, black, and Hispanic SCHIP enrollees. Multivariate analyses were performed to assess health status and health care access measures (prior insurance, presence of a usual source of care (USC), and use of preventive care), controlling for demographic factors described above. Weighted analyses (where appropriate) were performed by using SPSS, STATA, or SUDAAN. Results. Racial and ethnic composition varied across the SCHIP cohorts studied, with black and Hispanic children comprising the following proportion of enrollees, respectively: Alabama, 33% and <1%; Florida, 16% and 26%; Kansas, 12% and 15%; and New York, 24% and 36%. Black and Hispanic children were more likely to reside in single-parent and lower-income families. With some variation by state, children from minority groups were more likely to report poorer health status than were white children. Relative to white children, children from minority groups in Florida and New York were more likely to have been uninsured for the entire year before SCHIP enrollment. In all states, children from minority groups who had prior coverage were more likely to have previously been enrolled in Medicaid than in private health insurance and were less likely to have had employer-sponsored coverage compared with white children. Except in Alabama, there was a difference in having a USC, with children from minority groups less likely to have had a USC before SCHIP enrollment compared with white children. No consistent pattern of health care utilization before SCHIP was noted across states with respect to race or ethnicity. Findings from multivariate analyses, controlling for sociodemographic factors, generally confirmed that black and Hispanic children were more likely to have lacked insurance or a USC before enrollment in SCHIP and to have poorer health status compared with white children. Conclusions. SCHIP is enrolling substantial numbers of racial and ethnic minority children. There are baseline racial and ethnic disparities among new enrollees in SCHIP, with black and Hispanic children faring worse than white children on many sociodemographic and health system measures, and there are differences among states in the prevalence and magnitude of these disparities. After controlling for sociodemographic factors, these disparities persisted. Implications for Monitoring and Improving SCHIP. SCHIP has the potential to play a critical role in efforts to eliminate racial and ethnic disparities in health among the children it serves. However, study findings indicate that programmatic efforts are necessary to ensure that disparities are not perpetuated. Program effectiveness and outcomes should be monitored by race and ethnicity to ensure equity in access, use, and outcomes across all racial and ethnic groups. Assessing the health characteristics and needs of new SCHIP enrollees can provide a benchmark for evaluating the program’s impact on eliminating racial and ethnic disparities in health and inform service delivery enhancements.


2020 ◽  
Vol 48 ◽  
pp. 9-14 ◽  
Author(s):  
David R. Holtgrave ◽  
Meredith A. Barranco ◽  
James M. Tesoriero ◽  
Debra S. Blog ◽  
Eli S. Rosenberg

2020 ◽  
Vol 135 (4) ◽  
pp. 917-924 ◽  
Author(s):  
Jamie R. Daw ◽  
Giselle E. Kolenic ◽  
Vanessa K. Dalton ◽  
Kara Zivin ◽  
Tyler Winkelman ◽  
...  

Author(s):  
Jayasree Basu ◽  
Amresh Hanchate ◽  
Arlene Bierman

We examine differences in rates of 30-day readmissions across patients by race/ethnicity and the extent to which these differences were moderated by insurance coverage. We use hospital discharge data of patients in the 18 years and above age group for 5 US states, California, Florida, Missouri, New York, and Tennessee for 2009, the latest year prior to the start of Centers for Medicare & Medicaid Services’ Hospital Compare program of public reporting of hospital performance on 30-day readmissions. We use logistic regression models by state to estimate the association between insurance status, race, and the likelihood of a readmission within 30 days of an index hospital admission for any cause. Overall in 5 states, non-Hispanic blacks had a slightly higher risk of 30-day readmissions relative to non-Hispanic whites, although this pattern varied by state and insurance coverage. We found higher readmission risk for non-Hispanic blacks, compared with non-Hispanic whites, among those covered by Medicare and private insurance, but lower risk among uninsured and similar risk among Medicaid. Hispanics had lower risk of readmissions relative to non-Hispanic whites, and this pattern was common across subgroups with private, Medicaid, and no insurance coverage. Uninsurance was associated with lower risk of readmissions among minorities but higher risk of readmissions among non-Hispanic whites relative to private insurance. The study found that risk of readmissions by racial ethnic groups varies by insurance status, with lower readmission rates among minorities who were uninsured compared with those with private insurance or Medicare, suggesting that lower readmission rates may not always be construed as a good outcome, because it could result from a lack of insurance coverage and poor access to care, particularly among the minorities.


2017 ◽  
Vol 4 (2) ◽  
pp. 261-280 ◽  
Author(s):  
Kay S. Varela ◽  
Anthony A. Peguero ◽  
John M. Eason ◽  
Miner P. “Trey” Marchbanks ◽  
Jamilia Blake

There are racial and ethnic disparities associated with school discipline practices and pushout rates. In addition, research suggests that urban schools have stricter school discipline practices and higher pushout rates. What remains unknown, however, is the relationship between racial and ethnic inequality, school discipline practices, and pushout rates across urban, rural, and suburban schools. Therefore, this study draws from the Texas Education Agency’s (TEA) Public Education Information Management System (PEIMS) to address two questions about the relationship between racial and ethnic inequality, school punishment practices, and academic progress that remain unanswered by the previous literature. First, is the relationship between stringent or lenient discipline practices and pushout rates similar in urban, rural, and suburban school contexts? Second, is the relationship between stringent or lenient discipline practices in urban, rural, and suburban contexts associated with racial and ethnic differences in pushout rates? This study seeks to contribute to racial and ethnic educational inequality research by investigating if there is a relationship between school discipline practices and pushout rates and establishing if there are racial and ethnic differences in urban, rural, and suburban contexts. Findings indicate that there are significant racial and ethnic disparities in pushout rates across all school contexts, particularly for Black/African American and Latina/o American students. Findings indicate that both stringent and lenient school punishment practices have effects on pushout rates; however, there are important and distinctive nuances that are presented and examined.


eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Kevin C Ma ◽  
Tigist F Menkir ◽  
Stephen M Kissler ◽  
Yonatan H Grad ◽  
Marc Lipsitch

Background: The impact of variable infection risk by race and ethnicity on the dynamics of SARS CoV-2 spread is largely unknown. Methods: Here, we fit structured compartmental models to seroprevalence data from New York State and analyze how herd immunity thresholds (HITs), final sizes, and epidemic risk changes across groups. Results: A simple model where interactions occur proportionally to contact rates reduced the HIT, but more realistic models of preferential mixing within groups increased the threshold toward the value observed in homogeneous populations. Across all models, the burden of infection fell disproportionately on minority populations: in a model fit to Long Island serosurvey and census data, 81% of Hispanics or Latinos were infected when the HIT was reached compared to 34% of non-Hispanic whites. Conclusions: Our findings, which are meant to be illustrative and not best estimates, demonstrate how racial and ethnic disparities can impact epidemic trajectories and result in unequal distributions of SARS-CoV-2 infection. Funding: K.C.M. was supported by National Science Foundation GRFP grant DGE1745303. Y.H.G. and M.L. were funded by the Morris-Singer Foundation.


2018 ◽  
Vol 14 (1) ◽  
pp. e42-e50 ◽  
Author(s):  
Andrew P. Loehrer ◽  
David C. Chang ◽  
Zirui Song ◽  
George J. Chang

Purpose: Underinsured patients are less likely to receive complex cancer operations at hospitals with high surgical volumes (high-volume hospitals, or HVHs), which contributes to disparities in care. To date, the impact of insurance coverage expansion on site of complex cancer surgery remains unknown. Methods: Using the 2006 Massachusetts coverage expansion as a natural experiment, we searched the Hospital Cost and Utilization Project state inpatient databases for Massachusetts and control states (New York, New Jersey, and Florida) between 2001 and 2011 to evaluate changes in the utilization of HVHs for resections of bladder, esophageal, stomach, pancreatic, rectal, or lung cancer after the expansion of insurance coverage. We studied nonelderly, adult patients with private insurance and those with government-subsidized or self-pay (GSSP) coverage with a difference-in-differences framework. Results: We studied 11,687 patients in Massachusetts and 56,300 patients in control states. Compared with control states, the 2006 Massachusetts insurance expansion was associated with a 14% increased rate of surgical intervention for GSSP patients (incident rate ratio, 1.14; P = .015), but there was no significant change in the probability of GSSP patients undergoing surgery at an HVH (1.0 percentage-point increase; P = .710). The reform was associated with no change in the uninsured payer-mix at HVHs (0.6 percentage-point increase; P = .244) and with a 5.1 percentage-point decrease for the uninsured payer mix at low-volume hospitals ( P < .001). Conclusion: The 2006 Massachusetts insurance expansion, a model for the Affordable Care Act, was associated with increased rates of complex cancer operations and increased insurance coverage but with no change in utilization of HVH for complex cancer operations.


2012 ◽  
Vol 47 (3pt2) ◽  
pp. 1322-1344 ◽  
Author(s):  
Margarita Alegria ◽  
Julia Lin ◽  
Chih-Nan Chen ◽  
Naihua Duan ◽  
Benjamin Cook ◽  
...  

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