Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/25574
Title: Social Determinants Predict Outcomes in Data From a Multi-Ethnic Cohort of 20,899 Patients Investigated for COVID-19.
Austin Authors: Lundon, Dara J;Mohamed, Nihal;Lantz, Anna;Goltz, Heather H;Kelly, Brian D ;Tewari, Ashutosh K
Affiliation: Department of Urology, Icahn School of Medicine at Mount Sinai Hospitals, New York, NY, United States
College of Public Service, University of Houston-Downtown, Houston, TX, United States
Urology
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
The Tisch Cancer Institute, The Icahn School of Medicine at Mount Sinai, New York, NY, United States
The Center for Scientific Diversity, The Icahn School of Medicine at Mount Sinai, New York, NY, United States
Department of Urology, Icahn School of Medicine at Mount Sinai Hospitals, New York, NY, United States
Issue Date: 24-Nov-2020
Date: 2020-11-24
Publication information: Frontiers in Public Health 2020; 8: 571364
Abstract: Importance: The COVID-19 pandemic exploits existing inequalities in social determinants of health (SDOH) in disease burden and access to healthcare. Few studies have examined these emerging disparities using indicators of SDOH. Objective: To evaluate predictors of COVID-19 test positivity, morbidity, and mortality and their implications for inequalities in SDOH and for future policies and health care improvements. Design, Setting, and Participants: A cross sectional analysis was performed on all patients tested for COVID-19 on the basis of symptoms with either a history of travel to at risk regions or close contact with a confirmed case, across the Mount Sinai Health System (MSHS) up until April 26th 2020. Main Outcomes and Measures: Primary outcome was death from COVID-19 and secondary outcomes were test positivity, and morbidity (e.g., hospitalization and intubation caused by COVID-19). Results: Of 20,899 tested patients, 8,928 tested positive, 1,701 were hospitalized, 684 were intubated, and 1,179 died from COVID-19. Age, sex, race/ethnicity, New York City borough (derived from first 3 digits of zip-code), and English as preferred language were significant predictors of test positivity, hospitalization, intubation and COVID-19 mortality following multivariable logistic regression analyses. Conclusions and Relevance: People residing in poorer boroughs were more likely to be burdened by and die from COVID-19. Our results highlight the importance of integrating comprehensive SDOH data into healthcare efforts with at-risk patient populations.
URI: https://ahro.austin.org.au/austinjspui/handle/1/25574
DOI: 10.3389/fpubh.2020.571364
Journal: Frontiers in Public Health
PubMed URL: 33324596
Type: Journal Article
Subjects: COVID-19
SARS-CoV-2
multi-ethnic
outcomes
social determinants of health
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