Data-driven, cross-disciplinary collaboration : lessons learned at the largest academic health center in Latin America during the COVID-19 pandemic
Copyright © 2024 Ritto, de Araujo, de Carvalho, De Souza, Favaretto, Saboya, Garcia, Kulikowski, Kallás, Pereira, Cobello Junior, Silva, Abdalla, Segurado, Sabino, Ribeiro Junior, Francisco, Miethke-Morais, Levin, Sawamura, Ferreira, Silva, Mauad, Gouveia, Letaif, Bego, Battistella, Duarte, Seelaender, Marchini, Forlenza, Rocha, Mendes-Correa, Costa, Cerri, Bonfá, Chammas, de Barros Filho and Busatto Filho..
Introduction: 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.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:12 |
|---|---|
| Enthalten in: |
Frontiers in public health - 12(2024) vom: 23., Seite 1369129 |
| Sprache: |
Englisch |
|---|
| Links: |
|---|
| Themen: |
COVID-19 |
|---|
| Anmerkungen: |
Date Completed 14.03.2024 Date Revised 14.03.2024 published: Electronic-eCollection Citation Status MEDLINE |
|---|
| doi: |
10.3389/fpubh.2024.1369129 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM369662059 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM369662059 | ||
| 003 | DE-627 | ||
| 005 | 20240314235942.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240313s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.3389/fpubh.2024.1369129 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1329.xml |
| 035 | |a (DE-627)NLM369662059 | ||
| 035 | |a (NLM)38476486 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Ritto, Ana Paula |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Data-driven, cross-disciplinary collaboration |b lessons learned at the largest academic health center in Latin America during the COVID-19 pandemic |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 14.03.2024 | ||
| 500 | |a Date Revised 14.03.2024 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2024 Ritto, de Araujo, de Carvalho, De Souza, Favaretto, Saboya, Garcia, Kulikowski, Kallás, Pereira, Cobello Junior, Silva, Abdalla, Segurado, Sabino, Ribeiro Junior, Francisco, Miethke-Morais, Levin, Sawamura, Ferreira, Silva, Mauad, Gouveia, Letaif, Bego, Battistella, Duarte, Seelaender, Marchini, Forlenza, Rocha, Mendes-Correa, Costa, Cerri, Bonfá, Chammas, de Barros Filho and Busatto Filho. | ||
| 520 | |a Introduction: 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a cross-disciplinarity | |
| 650 | 4 | |a data management | |
| 650 | 4 | |a data science | |
| 650 | 4 | |a health data analysis | |
| 650 | 4 | |a research collaboration | |
| 650 | 4 | |a research data | |
| 650 | 4 | |a research management | |
| 700 | 1 | |a de Araujo, Adriana Ladeira |e verfasserin |4 aut | |
| 700 | 1 | |a de Carvalho, Carlos Roberto Ribeiro |e verfasserin |4 aut | |
| 700 | 1 | |a De Souza, Heraldo Possolo |e verfasserin |4 aut | |
| 700 | 1 | |a Favaretto, Patricia Manga E Silva |e verfasserin |4 aut | |
| 700 | 1 | |a Saboya, Vivian Renata Boldrim |e verfasserin |4 aut | |
| 700 | 1 | |a Garcia, Michelle Louvaes |e verfasserin |4 aut | |
| 700 | 1 | |a Kulikowski, Leslie Domenici |e verfasserin |4 aut | |
| 700 | 1 | |a Kallás, Esper Georges |e verfasserin |4 aut | |
| 700 | 1 | |a Pereira, Antonio José Rodrigues |e verfasserin |4 aut | |
| 700 | 1 | |a Cobello Junior, Vilson |e verfasserin |4 aut | |
| 700 | 1 | |a Silva, Katia Regina |e verfasserin |4 aut | |
| 700 | 1 | |a Abdalla, Eidi Raquel Franco |e verfasserin |4 aut | |
| 700 | 1 | |a Segurado, Aluisio Augusto Cotrim |e verfasserin |4 aut | |
| 700 | 1 | |a Sabino, Ester Cerdeira |e verfasserin |4 aut | |
| 700 | 1 | |a Ribeiro Junior, Ulysses |e verfasserin |4 aut | |
| 700 | 1 | |a Francisco, Rossana Pulcineli Vieira |e verfasserin |4 aut | |
| 700 | 1 | |a Miethke-Morais, Anna |e verfasserin |4 aut | |
| 700 | 1 | |a Levin, Anna Sara Shafferman |e verfasserin |4 aut | |
| 700 | 1 | |a Sawamura, Marcio Valente Yamada |e verfasserin |4 aut | |
| 700 | 1 | |a Ferreira, Juliana Carvalho |e verfasserin |4 aut | |
| 700 | 1 | |a Silva, Clovis Artur |e verfasserin |4 aut | |
| 700 | 1 | |a Mauad, Thais |e verfasserin |4 aut | |
| 700 | 1 | |a Gouveia, Nelson da Cruz |e verfasserin |4 aut | |
| 700 | 1 | |a Letaif, Leila Suemi Harima |e verfasserin |4 aut | |
| 700 | 1 | |a Bego, Marco Antonio |e verfasserin |4 aut | |
| 700 | 1 | |a Battistella, Linamara Rizzo |e verfasserin |4 aut | |
| 700 | 1 | |a Duarte, Alberto José da Silva |e verfasserin |4 aut | |
| 700 | 1 | |a Seelaender, Marilia Cerqueira Leite |e verfasserin |4 aut | |
| 700 | 1 | |a Marchini, Julio |e verfasserin |4 aut | |
| 700 | 1 | |a Forlenza, Orestes Vicente |e verfasserin |4 aut | |
| 700 | 1 | |a Rocha, Vanderson Geraldo |e verfasserin |4 aut | |
| 700 | 1 | |a Mendes-Correa, Maria Cassia |e verfasserin |4 aut | |
| 700 | 1 | |a Costa, Silvia Figueiredo |e verfasserin |4 aut | |
| 700 | 1 | |a Cerri, Giovanni Guido |e verfasserin |4 aut | |
| 700 | 1 | |a Bonfá, Eloisa Silva Dutra de Oliveira |e verfasserin |4 aut | |
| 700 | 1 | |a Chammas, Roger |e verfasserin |4 aut | |
| 700 | 1 | |a de Barros Filho, Tarcisio Eloy Pessoa |e verfasserin |4 aut | |
| 700 | 1 | |a Busatto Filho, Geraldo |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Frontiers in public health |d 2013 |g 12(2024) vom: 23., Seite 1369129 |w (DE-627)NLM23377548X |x 2296-2565 |7 nnns |
| 773 | 1 | 8 | |g volume:12 |g year:2024 |g day:23 |g pages:1369129 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.3389/fpubh.2024.1369129 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 12 |j 2024 |b 23 |h 1369129 | ||