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159 Bearing a higher burden: Black and Latinx community perspectives on the Impact of COVID-19

Published online by Cambridge University Press:  24 April 2023

Fernanda L. Cross
Affiliation:
School of Social Work, University of Michigan
Ayse G. Buyuktur
Affiliation:
Michigan Institute for Clinical & Health Research (MICHR), University of Michigan
Susan J. Woolford
Affiliation:
Michigan Institute for Clinical & Health Research (MICHR), University of Michigan
Susie Williamson
Affiliation:
Spectrum Health
Sarah Bailey
Affiliation:
Bridges Into the Future
Charo Ledon
Affiliation:
Buenos Vecinos
Arthi Ramakrishnan
Affiliation:
Michigan Institute for Clinical & Health Research (MICHR), University of Michigan
Erica E. Marsh
Affiliation:
Michigan Institute for Clinical & Health Research (MICHR), University of Michigan
Barbara Israel
Affiliation:
School of Public Health, University of Michigan
Jasmin Aramburu
Affiliation:
Michigan Institute for Clinical & Health Research (MICHR), University of Michigan
Maria Militzer
Affiliation:
School of Public Health, University of Michigan
Tiffany Cornwall
Affiliation:
School of Public Health, University of Michigan
Ana Patricia Esqueda
Affiliation:
Department of Psychology, University of Michigan
Jodyn Platt
Affiliation:
Department of Learning Health Sciences, University of Michigan
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Abstract

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OBJECTIVES/GOALS: During earlier periods of the pandemic, Black and Latinx populations in Michigan have suffered higher rates of infection, hospitalization, and deaths when compared to Whites. We conducted this study to understand how Black and Latinx residents perceived this disproportionate burden. METHODS/STUDY POPULATION: In 2021, 40 semi-structured interviews were conducted virtually in English or Spanish with Black (n=24) and Latinx (n=16) residents in Michigan areas highly impacted by COVID-19: Genesee, Kent, Washtenaw, and Wayne counties. Using a Community-Based Participatory Research (CBPR) approach, we partnered with leaders from 15 community-based organizations and health and human service agencies to develop research questions, an interview protocol, and to interpret the data. We used the data analysis software Dedoose (ver 4.12) for inductive coding (IRR=0.81). This study is a part of the NIH Community Engagement Alliance (CEAL) Against COVID-19 initiative. RESULTS/ANTICIPATED RESULTS: Participants described the significant impact of the pandemic in terms of physical and mental health, job security, and the sheer number of deaths among loved ones. They attributed the impact to comorbidities and social determinants of health disparities exacerbated by the pandemic, including income, housing, access to healthcare, as well as systemic racism. They noted being overrepresented among frontline workers with higher exposure to COVID-19, limited or misinformation about the virus, language barriers, and difficulty with social distancing. Cultural norms that promote being in close proximity, such as intergenerational households, and loss of trusted community leaders were also noted. DISCUSSION/SIGNIFICANCE: Findings reflect the needs of Black and Latinx community members in Michigan and the discussions they feel are important to highlight. We must work strategically with partners and the community to provide transparency and effective leadership, and prioritize addressing systemic disparities in SDoH.

Type
Health Equity and Community Engagement
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2023. The Association for Clinical and Translational Science