Artigo científico · 2023
Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South
Objectives: The aim of this work is to demonstrate the use of a standardized health informatics framework to generate reliable and reproducible real-world evidence from Latin America and South Asia towards characterizing coronavirus disease 2019 (COVID-19) in the Global South. Materials and Ver mais
International summary
Abstract
Objectives: The aim of this work is to demonstrate the use of a standardized health informatics framework to generate reliable and reproducible real-world evidence from Latin America and South Asia towards characterizing coronavirus disease 2019 (COVID-19) in the Global South. Materials and Methods: Patient-level COVID-19 records collected in a patient self-reported notification system, hospital in-patient and out-patient records, and community diagnostic labs were harmonized to the Observational Medical Outcomes Partnership common data model and analyzed using a federated network analytics framework. Clinical characteristics of individuals tested for, diagnosed with or tested positive for, hospitalized with, admitted to intensive care unit with, or dying with COVID-19 were estimated. Results: Two COVID-19 databases covering 8.3 million people from Pakistan and 2.6 million people from Bahia, Brazil were analyzed. 109 504 (Pakistan) and 921 (Brazil) medical concepts were harmonized to the Observational Medical Outcomes Partnership common data model. In total, 341 505 (4.1%) people in the Pakistan dataset and 1 312 832 (49.2%) people in the Brazilian dataset were tested for COVID-19 between January 1, 2020 and April 20, 2022, with a median [IQR] age of 36 [25, 76] and 38 (27, 50); 40.3% and 56.5% were female in Pakistan and Brazil, respectively. 1.2% of individuals in the Pakistan dataset had Afghan ethnicity. In Brazil, 52.3% had mixed ethnicity. In agreement with international findings, COVID-19 outcomes were more severe in men, elderly people, and those with underlying health conditions. Conclusions: COVID-19 data from two large countries in the Global South were harmonized and analyzed using a standardized health informatics framework developed by an international community of health informaticians. This proof-of-concept study demonstrates a potential open science framework for global knowledge mobilization and clinical translation for timely response to healthcare needs in pandemics and beyond.
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Referência da publicação original
ABNT (NBR 6023)
JUNIOR, Elzo Pereira Pinto; et al. Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South. Journal of the American Medical Informatics Association, [s. l.], v. 30, n. 4, p. 643-655, 2023. DOI: https://doi.org/10.1093/jamia/ocac180. Disponível em: https://doi.org/10.1093/jamia/ocac180. Acesso em: 21 de setembro de 2026.
LaTeX / BibTeX
@article{junior2023integratingrealworlddata,
author = {Elzo Pereira Pinto Junior and Priscilla Normando and Renzo Flores-Ortiz and Muhammad Usman Afzal and Muhammad Asaad Jamil and Sergio Fernandez Bertolin and Vinícius de Araújo Oliveira and Valentina Martufi and Fernanda de Sousa and Amir Bashir and Edward Burn and Maria Yury Ichihara and Maurício L. Barreto and Talita Duarte Salles and Daniel Prieto-Alhambra and Haroon Hafeez and Sara Khalid},
title = {Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South},
year = {2023},
journal = {Journal of the American Medical Informatics Association},
volume = {30},
number = {4},
pages = {643-655},
doi = {10.1093/jamia/ocac180},
url = {https://doi.org/10.1093/jamia/ocac180}
}Os dados bibliográficos descrevem a publicação original indicada nesta página; o LARIISA funciona como acervo de acesso.