scholarly journals Neighbourhood inequity: Exploring the factors underlying racial and ethnic disparities in COVID‐19 testing and infection rates using ZIP code data in Chicago and New York

2020 ◽  
Vol 12 (6) ◽  
pp. 1249-1271
Author(s):  
Kevin Credit
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

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.


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

AbstractThe impact of variable infection risk by race and ethnicity on the dynamics of SARS-CoV-2 spread is largely unknown. 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 racial and ethnic groups. A proportionate mixing model reduced the overall HIT, but more realistic levels of assortative mixing increased the threshold. Across all models, the burden of infection fell disproportionately on minority populations: in an assortative mixing model fit to Long Island census data, 80% of Hispanics or Latinos were infected when the HIT is reached compared to 33% of non-Hispanic whites. 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 a dis-proportionate distribution of the burden of SARS-CoV-2 infection.


2021 ◽  
Author(s):  
Ashwani K Singal ◽  
Yong-Fang Kuo ◽  
Juan P. Arab ◽  
Ramon Bataller

Abstract Data are scanty on racial disparities in alcohol-associated liver disease (ALD) hospitalizations. National Inpatient Sample on 199,748 cirrhosis hospitalizations, 14,241 (2,893 AI/AN, 2,893 whites, 2,882 blacks, 2,879 Hispanics, and 2,694 Asian/other race) was matched 1:1 for demographics, insurance, and income quartile of residence zip code. After controlling for geographic location and hospital type, ALD etiology was higher by 1.6 folds in AI/AN vs. whites by 1.9 folds vs. blacks and Hispanic, and 2,2 folds vs. Asian/other race. Alcohol use disorder (AUD) was present in 38% of admissions in AI/AN vs. 24–30% in other races, P < 0.001. 5.9% admissions were associated with in-hospital mortality, with 34% reduced odds in AI/AN vs. blacks. Among cirrhosis related hospitalizations in the US, racial and ethnic disparities exist with alcohol as the commonest etiology in AI/AN, and highest in-hospital mortality in blacks. Public health policies are needed to reduce the health disparities individuals with ALD.


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.


2019 ◽  
Vol 38 (7) ◽  
pp. 1119-1126 ◽  
Author(s):  
Keith Corl ◽  
Mitchell Levy ◽  
Gary Phillips ◽  
Kathleen Terry ◽  
Marcus Friedrich ◽  
...  

2021 ◽  
Vol 4 (6) ◽  
pp. e2113937
Author(s):  
Natasha Williams ◽  
Haleigh Tutrow ◽  
Paulo Pina ◽  
Hayley M. Belli ◽  
Gbenga Ogedegbe ◽  
...  

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