التفاصيل البيبلوغرافية
| العنوان: |
Data_Sheet_1_Data-driven, cross-disciplinary collaboration: lessons learned at the largest academic health center in Latin America during the COVID-19 pandemic.PDF |
| المؤلفون: |
Ana Paula Ritto, Adriana Ladeira de Araujo, 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 Georges Kallás, Antonio José Rodrigues Pereira, Vilson Cobello Junior, Katia Regina Silva, Eidi Raquel Franco Abdalla, Aluisio Augusto Cotrim Segurado, Ester Cerdeira Sabino, Ulysses Ribeiro Junior, Rossana Pulcineli Vieira Francisco, Anna Miethke-Morais, Anna Sara Shafferman Levin, Marcio Valente Yamada Sawamura, Juliana Carvalho Ferreira, Clovis Artur Silva, Thais Mauad, Nelson da Cruz Gouveia, Leila Suemi Harima Letaif, Marco Antonio Bego, Linamara Rizzo Battistella, Alberto José da Silva Duarte, Marilia Cerqueira Leite Seelaender, Julio Marchini, Orestes Vicente Forlenza, Vanderson Geraldo Rocha, Maria Cassia Mendes-Correa, Silvia Figueiredo Costa, Giovanni Guido Cerri, Eloisa Silva Dutra de Oliveira Bonfá, Roger Chammas, Tarcisio Eloy Pessoa de Barros Filho, Geraldo Busatto Filho |
| سنة النشر: |
2024 |
| مصطلحات موضوعية: |
Mental Health Nursing, Midwifery, Nursing not elsewhere classified, Aboriginal and Torres Strait Islander Health, Aged Health Care, Care for Disabled, Community Child Health, Environmental and Occupational Health and Safety, Epidemiology, Family Care, Health and Community Services, Health Care Administration, Health Counselling, Health Information Systems (incl. Surveillance), Health Promotion, Preventive Medicine, Primary Health Care, Public Health and Health Services not elsewhere classified, Nanotoxicology, Health and Safety, Medicine, Nursing and Health Curriculum and Pedagogy, COVID-19, cross-disciplinarity, research collaboration, research management, research data, data science, data management, health data analysis |
| الوصف: |
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 ... |
| نوع الوثيقة: |
dataset |
| اللغة: |
unknown |
| العلاقة: |
https://figshare.com/articles/dataset/Data_Sheet_1_Data-driven_cross-disciplinary_collaboration_lessons_learned_at_the_largest_academic_health_center_in_Latin_America_during_the_COVID-19_pandemic_PDF/25294423Test |
| DOI: |
10.3389/fpubh.2024.1369129.s001 |
| الإتاحة: |
https://doi.org/10.3389/fpubh.2024.1369129.s001Test
https://figshare.com/articles/dataset/Data_Sheet_1_Data-driven_cross-disciplinary_collaboration_lessons_learned_at_the_largest_academic_health_center_in_Latin_America_during_the_COVID-19_pandemic_PDF/25294423Test |
| حقوق: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.B9714189 |
| قاعدة البيانات: |
BASE |
