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Journal of clinical and translational science ; 5(Suppl 1):78-78, 2021.
Article in English | EuropePMC | ID: covidwho-1728367

ABSTRACT

IMPACT: This poster will demonstrate how input from a CTSI Community Advisory Board was used to develop a large, annual dissemination event focused on health disparities, health equity, and community engagement. OBJECTIVES/GOALS: The NYU Langone Annual Health Disparities Symposium began in response to the NYU-H+H CTSI’s Community Advisory Board, which expressed a desire to 1) learn about health disparities research at NYU, H+H, and beyond;2) build connections and interdisciplinary collaborations;3) support bidirectional dissemination between community and researchers. METHODS/STUDY POPULATION: The annual symposium, a collaboration between NYU Langone’s CTSI, Department of Population Health, Office of Diversity Affairs, and the NYU-CUNY Prevention Research Center, features a keynote, a series of rapid-fire talks, panels on current controversies in population health and the work of the Community Engagement Cores of NYC-based CTSAs, and poster sessions. Each year the event is focused around a specific theme, with the 2020 theme being ‘Research Into Action’. Audience members include faculty, staff, students, health care providers, community health workers, and representatives from community-based organizations, health care facilities, and the NYC Department of Health and Mental Hygiene. For the very first time, the event was held virtually days and CME/CNE credits were provided free of cost. RESULTS/ANTICIPATED RESULTS: The conference explored how institutions have turned research into action, and speakers addressed the ways in which COVID-19 has highlighted structural inequities that have existed across time. 585 attendees participated in the event, with 63 claiming an average of 7.8 hours of continuing education credits. 46 individuals completed the post-event evaluation, with 95% agreeing/strongly agreeing that the symposium increased their awareness of health disparities research taking place at NYU, H+H, and beyond, 91% agreeing/strongly agreeing that they are likely to apply the information learned to their own work, and 91% agreeing/strongly agreeing that the symposium increased their interest in health disparities research. 86% were very/extremely satisfied with the quality of the meeting overall. DISCUSSION/SIGNIFICANCE OF FINDINGS: The 2020 event had the greatest proportion of health care provider attendees (24%), likely due to the opportunity to earn CME/CNE credits. Attendance also grew over the years, from 150 in 2015 to 585 in 2020. This increase is likely due to increased awareness of the event, as well as well as virtual the format, which made it more convenient for attendees.

2.
JAMA Netw Open ; 3(12): e2026881, 2020 12 01.
Article in English | MEDLINE | ID: covidwho-959048

ABSTRACT

Importance: Black and Hispanic populations have higher rates of coronavirus disease 2019 (COVID-19) hospitalization and mortality than White populations but lower in-hospital case-fatality rates. The extent to which neighborhood characteristics and comorbidity explain these disparities is unclear. Outcomes in Asian American populations have not been explored. Objective: To compare COVID-19 outcomes based on race and ethnicity and assess the association of any disparities with comorbidity and neighborhood characteristics. Design, Setting, and Participants: This retrospective cohort study was conducted within the New York University Langone Health system, which includes over 260 outpatient practices and 4 acute care hospitals. All patients within the system's integrated health record who were tested for severe acute respiratory syndrome coronavirus 2 between March 1, 2020, and April 8, 2020, were identified and followed up through May 13, 2020. Data were analyzed in June 2020. Among 11 547 patients tested, outcomes were compared by race and ethnicity and examined against differences by age, sex, body mass index, comorbidity, insurance type, and neighborhood socioeconomic status. Exposures: Race and ethnicity categorized using self-reported electronic health record data (ie, non-Hispanic White, non-Hispanic Black, Hispanic, Asian, and multiracial/other patients). Main Outcomes and Measures: The likelihood of receiving a positive test, hospitalization, and critical illness (defined as a composite of care in the intensive care unit, use of mechanical ventilation, discharge to hospice, or death). Results: Among 9722 patients (mean [SD] age, 50.7 [17.5] years; 58.8% women), 4843 (49.8%) were positive for COVID-19; 2623 (54.2%) of those were admitted for hospitalization (1047 [39.9%] White, 375 [14.3%] Black, 715 [27.3%] Hispanic, 180 [6.9%] Asian, 207 [7.9%] multiracial/other). In fully adjusted models, Black patients (odds ratio [OR], 1.3; 95% CI, 1.2-1.6) and Hispanic patients (OR, 1.5; 95% CI, 1.3-1.7) were more likely than White patients to test positive. Among those who tested positive, odds of hospitalization were similar among White, Hispanic, and Black patients, but higher among Asian (OR, 1.6, 95% CI, 1.1-2.3) and multiracial patients (OR, 1.4; 95% CI, 1.0-1.9) compared with White patients. Among those hospitalized, Black patients were less likely than White patients to have severe illness (OR, 0.6; 95% CI, 0.4-0.8) and to die or be discharged to hospice (hazard ratio, 0.7; 95% CI, 0.6-0.9). Conclusions and Relevance: In this cohort study of patients in a large health system in New York City, Black and Hispanic patients were more likely, and Asian patients less likely, than White patients to test positive; once hospitalized, Black patients were less likely than White patients to have critical illness or die after adjustment for comorbidity and neighborhood characteristics. This supports the assertion that existing structural determinants pervasive in Black and Hispanic communities may explain the disproportionately higher out-of-hospital deaths due to COVID-19 infections in these populations.


Subject(s)
COVID-19/mortality , Ethnicity/statistics & numerical data , Hospitalization/statistics & numerical data , White People/statistics & numerical data , Adult , Aged , COVID-19/therapy , Female , Humans , Male , Middle Aged , New York City/epidemiology , Retrospective Studies , SARS-CoV-2 , Young Adult
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