scholarly journals Risk Factors for Death Among Hospitalized Patients Aged 21–64 Years Diagnosed with COVID-19—New York City, March 13–April 9, 2020

Author(s):  
Dena Bushman ◽  
Alexander Davidson ◽  
Preeti Pathela ◽  
Sharon K. Greene ◽  
Don Weiss ◽  
...  

Abstract Background COVID-19 mortality studies have primarily focused on persons aged ≥ 65 years; less is known about decedents aged <65 years. Methods We conducted a case-control study among NYC residents aged 21–64 years hospitalized with COVID-19 diagnosed March 13–April 9, 2020, to determine risk factors for death. Case-patients (n=343) were hospitalized decedents with COVID-19 and control-patients (n=686) were discharged from hospitalization with COVID-19 and matched 2:1 to case-patients on age and residential neighborhood. Conditional logistic regression models were adjusted for patient sex, insurance status, and marital status. Matched adjusted odds ratios (aORs) were calculated for selected underlying conditions, combinations of conditions, and race/ethnic group. Results Median age of both case-patients and control-patients was 56 years (range: 23–64 years). Having ≥ 1 selected underlying condition increased odds of death 4.45-fold (95% CI: 2.33–8.49). Patients with diabetes; morbid obesity; heart, kidney, or lung disease; cancer; neurologic/neurodevelopmental conditions; mental health conditions; or HIV had significantly increased odds of death. Compared with having neither condition, having both diabetes and obesity or diabetes and heart disease was associated with approximately threefold odds of death. Five select underlying conditions were more prevalent among non-Hispanic Black control-patients than among control-patients of other races/ethnicities. Conclusions and Relevance Selected underlying conditions were risk factors for death, and most prevalent among racial/ethnic minorities. Social services; health care resources, including vaccination; and tailored public health messaging are important for COVID-19 prevention. Strengthening these strategies for racial/ethnic minority groups could minimize COVID-19 racial/ethnic disparities.

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S791-S791
Author(s):  
Elizabeth A Luth ◽  
David Russell

Abstract Hospice delivers care to a substantial and growing number of individuals with primary and comorbid dementia diagnoses. Dementia diagnosis and racial/ethnic minority status are risk factors for hospice disenrollment. However, little research examines racial/ethnic disparities and other risk factors for hospice disenrollment among hospice patients with dementia. This paper uses multinomial logistic regression to explore sociodemographic and functional status risk factors for hospice disenrollment among 3,949 home hospice recipients with primary or comorbid dementia. Results indicate that patients with a primary dementia diagnosis, racial/ethnic minority groups, and those higher functional status have elevated risk of disenrollment due to hospitalization, disqualification, and electively leaving hospice care. Additional research is needed to understand why primary dementia diagnosis and underrepresented racial/ethnic status are associated with multiple kinds of hospice disenrollment so that hospice practice can be tailored to respond to the needs of these individuals.


2017 ◽  
Vol 20 (4) ◽  
pp. 367-396 ◽  
Author(s):  
Weston J. Morrow ◽  
Michael D. White ◽  
Henry F. Fradella

Questions surrounding stop, question, and frisk (SQF) practices have focused almost exclusively on racial and ethnic disproportionality in the rate of stops, and whether police are engaged in racial profiling. This near-sole focus on the stop decision has overshadowed important questions about the use of force during Terry stops, resulting in a major gap in our understanding of the dynamics of SQF encounters. The current study addresses this issue through an examination of the nature, prevalence, and predictors of use of force during Terry stops using the 2012 SQF database of New York Police Department (NYPD; N = 519,948) and data from the U.S. Census Bureau. Results indicate that use of force was an infrequent event in NYPD stops (14%), and weapon force was quite rare (.01%). However, hierarchical multinomial logistic regression models show that Black and Hispanic citizens were significantly more likely to experience non-weapon force than White citizens, while controlling for other relevant situational and precinct-level variables. The findings suggest that minority citizens may be exposed to a racial or ethnic “double jeopardy,” whereby they are subjected to both unconstitutional stops and disparate rates of force during those stops. The study highlights the importance of expanding the focus on SQF beyond the racial profiling lens, as questions about the dynamics of police use of force decision-making raise equally important social and legal concerns.


PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256201
Author(s):  
Maria R. Khan ◽  
Farzana Kapadia ◽  
Amanda Geller ◽  
Medha Mazumdar ◽  
Joy D. Scheidell ◽  
...  

Although racial/ethnic disparities in police contact are well documented, less is known about other dimensions of inequity in policing. Sexual minority groups may face disproportionate police contact. We used data from the P18 Cohort Study (Version 2), a study conducted to measure determinants of inequity in STI/HIV risk among young sexual minority men (YSMM) in New York City, to measure across-time trends, racial/ethnic disparities, and correlates of self-reported stop-and-frisk experience over the cohort follow-up (2014–2019). Over the study period, 43% reported stop-and-frisk with higher levels reported among Black (47%) and Hispanic/Latinx (45%) than White (38%) participants. Stop-and-frisk levels declined over follow-up for each racial/ethnic group. The per capita rates among P18 participants calculated based on self-reported stop-and-frisk were much higher than rates calculated based on New York City Police Department official counts. We stratified respondents’ ZIP codes of residence into tertiles of per capita stop rates and observed pronounced disparities in Black versus White stop-and-frisk rates, particularly in neighborhoods with low or moderate levels of stop-and-frisk activity. YSMM facing the greatest economic vulnerability and mental disorder symptoms were most likely to report stop-and-frisk. Among White respondents levels of past year stop-and-frisk were markedly higher among those who reported past 30 day marijuana use (41%) versus those reporting no use (17%) while among Black and Hispanic/Latinx respondents stop-and-frisk levels were comparable among those reporting marijuana use (38%) versus those reporting no use (31%). These findings suggest inequity in policing is observed not only among racial/ethnic but also sexual minority groups and that racial/ethnic YSMM, who are at the intersection of multiple minority statuses, face disproportionate risk. Because the most socially vulnerable experience disproportionate stop-and-frisk risk, we need to reach YSMM with community resources to promote health and wellbeing as an alternative to targeting this group with stressful and stigmatizing police exposure.


Author(s):  
Michelle S. Wong ◽  
Taona P. Haderlein ◽  
Anita H. Yuan ◽  
Ernest Moy ◽  
Kenneth T. Jones ◽  
...  

Studies documenting coronavirus disease 2019 (COVID-19) racial/ethnic disparities in the United States were limited to data from the initial few months of the pandemic, did not account for changes over time, and focused primarily on Black and Hispanic minority groups. To fill these gaps, we examined time trends in racial/ethnic disparities in COVID-19 infection and mortality. We used the Veteran Health Administration’s (VHA) national database of veteran COVID-19 infections over three time periods: 3/1/2020–5/31/2020 (spring); 6/1/2020–8/31/2020 (summer); and 9/1/2020–11/25/2020 (fall). We calculated COVID-19 infection and mortality predicted probabilities from logistic regression models that included time period-by-race/ethnicity interaction terms, and controlled for age, gender, and prior diagnosis of CDC risk factors. Racial/ethnic groups at higher risk for COVID-19 infection and mortality changed over time. American Indian/Alaskan Natives (AI/AN), Blacks, Hispanics, and Native Hawaiians/Other Pacific Islanders experienced higher COVID-19 infections compared to Whites during the summertime. There were mortality disparities for Blacks in springtime, and AI/ANs, Asians, and Hispanics in summertime. Policy makers should consider the dynamic nature of racial/ethnic disparities as the pandemic evolves, and potential effects of risk mitigation and other (e.g., economic) policies on these disparities. Researchers should consider how trends in disparities change over time in other samples.


2021 ◽  
Author(s):  
rhow not provided ◽  
Vidhya Gunaseelan ◽  
mbicket not provided

This retrospective cohort study will investigate the timeliness of surgery based on the racial/ethnic group of patients who under colorectal surgery for cancer. Patients are included if they underwent surgical procedures for colon cancer between January 1, 2015 and April 30, 2020. The primary exposure of interest is the racial/ethnic group of the patient. The primary outcome is the the timeliness of surgery, defined as having urgent/emergent surgery (less timely) vs. elective surgery (more timely). Secondary outcomes relate to comprehensiveness of surgery, and include performance of preoperative staging tests, preoperative lab testing, and preoperative teaching of patients, as well as length of stay and additional clinical outcomes. Multivariable logistic regression models will be used to adjust for other demographic and clinical differences between study groups.


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 &lt;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.


Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Summer Chavez ◽  
Ryan Huebinger ◽  
Kevin Schulz ◽  
Hei Kit Chan ◽  
Micah Panczyk ◽  
...  

Introduction: Prior research shows a greater disease burden, lower BCPR rates, and worse outcomes in Black and Hispanic patients after OHCA. The CDC has declared that the COVID-19 pandemic has disproportionately affected many racial and ethnic minority groups. However, the influence of the COVID-19 pandemic on OHCA incidence and outcomes in different races and ethnicities is unknown. Purpose: To describe racial/ethnic disparities in OHCA incidence, processes of care and outcomes in Texas during the COVID-19 pandemic. Methods: We used data from the Texas Cardiac Arrest Registry to Enhance Survival (CARES) comparing adult OHCA from the pre-pandemic period (March 11 - December 31, 2019) to the pandemic period (March 11- December 31, 2020). The racial and ethnic categories were White, Black, Hispanic or Other. Outcomes were rates of BCPR, AED use, sustained ROSC, prehospital termination of resuscitation (TOR), survival to hospital admission, survival to discharge and good neurological outcomes. We fit a mixed effect logistic regression model, with EMS agency designated as the random intercept to obtain aORs. We adjusted for the pandemic and other covariates. Results: A total of 8,070 OHCAs were included. The proportion of cardiac arrests increased for Blacks (903 to 1, 113, 24.9% to 25.5%) and Hispanics (935 to 1,221, 25.8% to 27.5%) and decreased for Whites (1 595 to 1,869, 44.0% to 42.1%) and Other (194 to 220, 5.4% to 5.0%) patients. Compared to Whites, Black (aOR = 0.73, 95% CI 0.65-0.82) and Hispanic patients (aOR = 0.78, 95% CI 0.68-0.87) were less likely to receive BCPR. Compared to Whites, Blacks were less likely to have sustained ROSC (aOR = 0.81, 95% CI 0.70-0.93%), with lower rates of survival to hospital admission (aOR = 0.87, 95% CI 0.75-1.0), and worse neurological outcomes (aOR = 0.45, 95% 0.28-0.73). Hispanics were less likely to have prehospital TOR compared to Whites (aOR = 0.86, 95% CI = 0.75-0.99). The Utstein bystander survival rate was worse for Blacks (aOR = 0.72, 95% CI 0.54-0.97) and Hispanics (aOR = 0.71, 95% 0.53-0.95) compared to Whites. Conclusion: Racial and ethnic disparities persisted during the COVID-19 pandemic in Texas.


Lupus ◽  
2019 ◽  
Vol 28 (14) ◽  
pp. 1619-1627 ◽  
Author(s):  
T Falasinnu ◽  
Y Chaichian ◽  
J Li ◽  
S Chung ◽  
B E Waitzfelder ◽  
...  

Objective The heterogeneous spectrum of systemic lupus erythematosus (SLE) often presents with secondary complications such as cardiovascular disease (CVD), infections and neoplasms. Our study assessed whether the presence of SLE independently increases or reduces the disparities, accounting for the already higher risk of these outcomes among racial/ethnic minority groups without SLE. Methods We defined a cohort using electronic health records data (2005–2016) from a mixed-payer community-based outpatient setting in California serving patients of diverse racial/ethnic backgrounds. The eligible population included adult patients with SLE and matched non-SLE patients (≥18 years old). SLE was the primary exposure. The following outcomes were identified: pneumonia, other infections, CVD and neoplasms. For each racial/ethnic group, we calculated the proportion of incident co-morbidities by SLE exposure, followed by logistic regression for each outcome with SLE as the exposure. We evaluated interaction on the additive and multiplicative scales by calculating the relative excess risk due to interaction and estimating the cross-product term in each model. Results We identified 1036 SLE cases and 8875 controls. The incidence for all outcomes was higher among the SLE exposed. We found little difference in the odds of the outcomes associated with SLE across racial/ethnic groups, even after multivariable adjustment. This finding was consistent on the multiplicative and additive scales. Conclusion We demonstrated that SLE status does not independently confer substantial interaction or heterogeneity by race/ethnicity toward the risk of pneumonia, other infections, CVD or neoplasms. Further studies in larger datasets are necessary to validate this novel finding.


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