Produção Nacional
Revisado por pares
Data-driven, cross-disciplinary collaboration: lessons learned at the largest academic health center in Latin America during the COVID-19 pandemic
2024; Frontiers Media; Volume: 12; Linguagem: Inglês
10.3389/fpubh.2024.1369129
ISSN2296-2565
AutoresAna Paula Ritto, Adriana Ladeira de Araújo, Carlos Roberto Ribeiro de Carvalho, Heraldo Possolo de Souza, Patricia Manga e Silva Favaretto, Vivian Renata Boldrim Saboya, Michelle Louvaes Garcia, Leslie Domenici Kulikowski, Esper G. Kallás, Antônio José Rodrigues Pereira, Vilson Cobello, Katia Regina da Silva, Eidi Raquel Franco Abdalla, Aluísio Augusto Cotrim Segurado, Éster Cerdeira Sabino, Ulysses Ribeiro, Rossana Pulcineli Vieira Francisco, Anna Miethke-Morais, Anna S. Levin, Márcio Valente Yamada Sawamura, Juliana Carvalho Ferreira, Clóvis A. Silva, Thaís Mauad, Nélson Gouveia, Leila Suemi Harima Letaif, Marco Antonio Bego, Linamara Rizzo Battistella, Alberto José da Silva Duarte, Marília Seelaender, Júlio Flávio Meirelles Marchini, Orestes Vicente Forlenza, Vanderson Rocha, Maria Cássia Mendes-Corrêa, Sílvia Figueiredo Costa, Giovanni Guido Cerri, Eloísa Bonfá, Roger Chammas, Tarcísio Eloy Pessoa de Barros Filho, Geraldo F. Busatto,
Tópico(s)Health, Environment, Cognitive Aging
ResumoIntroduction The COVID-19 pandemic has prompted global research efforts to reduce infection impact, highlighting the potential of cross-disciplinary collaboration to enhance research quality and efficiency. Methods At the FMUSP-HC academic health system, we implemented innovative flow management routines for collecting, organizing and analyzing demographic data, COVID-related data and biological materials from over 4,500 patients with confirmed SARS-CoV-2 infection hospitalized from 2020 to 2022. This strategy was mainly planned in three areas: organizing a database with data from the hospitalizations; setting-up a multidisciplinary taskforce to conduct follow-up assessments after discharge; and organizing a biobank. Additionally, a COVID-19 curated collection was created within the institutional digital library of academic papers to map the research output. Results Over the course of the experience, the possible benefits and challenges of this type of research support approach were identified and discussed, leading to a set of recommended strategies to enhance collaboration within the research institution. Demographic and clinical data from COVID-19 hospitalizations were compiled in a database including adults and a minority of children and adolescents with laboratory confirmed COVID-19, covering 2020–2022, with approximately 350 fields per patient. To date, this database has been used in 16 published studies. Additionally, we assessed 700 adults 6 to 11 months after hospitalization through comprehensive, multidisciplinary in-person evaluations; this database, comprising around 2000 fields per subject, was used in 15 publications. Furthermore, thousands of blood samples collected during the acute phase and follow-up assessments remain stored for future investigations. To date, more than 3,700 aliquots have been used in ongoing research investigating various aspects of COVID-19. Lastly, the mapping of the overall research output revealed that between 2020 and 2022 our academic system produced 1,394 scientific articles on COVID-19. Discussion Research is a crucial component of an effective epidemic response, and the preparation process should include a well-defined plan for organizing and sharing resources. The initiatives described in the present paper were successful in our aim to foster large-scale research in our institution. Although a single model may not be appropriate for all contexts, cross-disciplinary collaboration and open data sharing should make health research systems more efficient to generate the best evidence.
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