| Autor: |
Sarita Rodriguez, Tania M. Guzmán, Eric Tafurt, Estefanía Beltrán, Andrés Castro, Fernando Rosso, Sergio I. Prada, Virginia Zarama |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
MethodsX, Vol 10, Iss , Pp 102056- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2215-0161 |
| DOI: |
10.1016/j.mex.2023.102056 |
| Popis: |
Registries are essential to providing valuable clinical and epidemiological decisions. Designing a registry is challenging because it is time-consuming and resource-intensive, particularly in low- and middle-income countries. Here, we described our experience with the rationale, design, and implementation of a hospital-based COVID-19 registry in Cali, Colombia. We designed and implemented a hospital-based registry over a dynamic web-based structure to record all sociodemographic, clinical, and laboratory tests, imaging, treatment, and outcomes of SARS-CoV-2. We included 4458 confirmed COVID-19 cases of 18 years and older from March 2020 to March 2021. The median age was 48 years. The most frequent comorbidities were hypertension, obesity, and diabetes. The ICU admission rate was 19%, and the in-hospital mortality rate was 20%. The implemented strategies provided rapid and reliable information collection for the registry of emerging studies from the different clinical areas. Regular data quality and feedback are essential to ensure the reliability of the information. The integration of automatic data extraction reduces time consumption in information gathering and resources. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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