Using Data Science and a Health Equity Lens to Identify Long-COVID Sequelae Among Medically Underserved Populations.
J Health Care Poor Underserved
; 34(2): 521-534, 2023.
Article
em En
| MEDLINE
| ID: mdl-37464515
ABSTRACT
Understanding how post-acute COVID-19 syndrome (PACS or long COVID) manifests among underserved populations, who experienced a disproportionate burden of acute COVID-19, can help providers and policymakers better address this ongoing crisis. To identify clinical sequelae of long COVID among underserved populations treated in the primary care safety net, we conducted a causal impact analysis with electronic health records (EHR) to compare symptoms among community health center patients who tested positive (n=4,091) and negative (n=7,118) for acute COVID-19. We found 18 sequelae with statistical significance and causal dependence among patients who had a visit after 60 days or more following acute COVID-19. These sequelae encompass most organ systems and include breathing abnormalities, malaise and fatigue, and headache. This study adds to current knowledge about how long COVID manifests in a large, underserved population.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Equidade em Saúde
/
COVID-19
Limite:
Humans
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article