Development of a Standardized Data Collection Tool for Evaluation and Management of Coronavirus Disease 2019

Autor: Susanne Doblecki-Lewis, Anmary Fernandez, Jennifer Quevedo, Yoichiro Natori, Meshell Maxam, Jose A Gonzales-Zamora, Christine A. Vu, Maria Virginia Romero Alvarez, Shuba Balan, Stephen R Morris, Lilian M. Abbo, Pablo Barreiro, David P. Serota, Alejandro Mantero, Patricia Raccamarich, Douglas Salguero, Ana D Vega, Ruixuan Ma, Daniela Fatima. de Lima Corvino, Gregory E. Holt, Lauren Bjork, Paola Lichtenberger, Maya Ramanathan, Kailynn DeRonde, Dimitra Skiada, Gio J. Baracco, Maria L. Alcaide, Alex Lazo
Rok vydání: 2020
Předmět:
Zdroj: ABACUS. Repositorio de Producción Científica
Universidad Europea (UEM)
Open Forum Infectious Diseases
ISSN: 2328-8957
DOI: 10.1093/ofid/ofaa320
Popis: Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 ) is responsible for coronavirus disease 2019 (COVID-19), a disease that had not been previously described and for which clinicians need to rapidly adapt their daily practice. The novelty of SARS-CoV-2 produced significant gaps in harmonization of definitions, data collection, and outcome reporting to identify patients who would benefit from potential interventions. Methods We describe a multicenter collaboration to develop a comprehensive data collection tool for the evaluation and management of COVID-19 in hospitalized patients. The proposed tool was developed by a multidisciplinary working group of infectious disease physicians, intensivists, and infectious diseases/antimicrobial stewardship pharmacists. The working group regularly reviewed literature to select important patient characteristics, diagnostics, and outcomes for inclusion. The data collection tool consisted of spreadsheets developed to collect data from the electronic medical record and track the clinical course after treatments. Results Data collection focused on demographics and exposure epidemiology, prior medical history and medications, signs and symptoms, diagnostic test results, interventions, clinical outcomes, and complications. During the pilot validation phase, there was
In an era of rapidly evolving knowledge, we developed a data collection tool to efficiently track clinical data pertinent to managing COVID-19 patients. We propose its use to collect harmonized data of individuals hospitalized with confirmed or suspected SARS-CoV-2 infection.
Databáze: OpenAIRE