Dataset Information

Data-driven, cross-disciplinary collaboration: lessons learned at the largest academic health center in Latin America during the COVID-19 pandemic.

ABSTRACT:

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.

SUBMITTER: Ritto AP

PROVIDER: S-EPMC10927964 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature

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Publications

Data-driven, cross-disciplinary collaboration: lessons learned at the largest academic health center in Latin America during the COVID-19 pandemic.

Ritto Ana Paula AP de Araujo Adriana Ladeira AL de Carvalho Carlos Roberto Ribeiro CRR De Souza Heraldo Possolo HP Favaretto Patricia Manga E Silva PMES Saboya Vivian Renata Boldrim VRB Garcia Michelle Louvaes ML Kulikowski Leslie Domenici LD Kallás Esper Georges EG Pereira Antonio José Rodrigues AJR Cobello Junior Vilson V Silva Katia Regina KR Abdalla Eidi Raquel Franco ERF Segurado Aluisio Augusto Cotrim AAC Sabino Ester Cerdeira EC Ribeiro Junior Ulysses U Francisco Rossana Pulcineli Vieira RPV Miethke-Morais Anna A Levin Anna Sara Shafferman ASS Sawamura Marcio Valente Yamada MVY Ferreira Juliana Carvalho JC Silva Clovis Artur CA Mauad Thais T Gouveia Nelson da Cruz NDC Letaif Leila Suemi Harima LSH Bego Marco Antonio MA Battistella Linamara Rizzo LR Duarte Alberto José da Silva AJDS Seelaender Marilia Cerqueira Leite MCL Marchini Julio J Forlenza Orestes Vicente OV Rocha Vanderson Geraldo VG Mendes-Correa Maria Cassia MC Costa Silvia Figueiredo SF Cerri Giovanni Guido GG Bonfá Eloisa Silva Dutra de Oliveira ESDO Chammas Roger R de Barros Filho Tarcisio Eloy Pessoa TEP Busatto Filho Geraldo G

Frontiers in public health 20240227

<h4>Introduction</h4>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.<h4>Methods</h4>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 fr ...[more]

PMID: 38476486

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Project description:BackgroundResearch on the needs of people with disability is scarce, which promotes inadequate programs. Community Based Inclusive Development interventions aim to promote rights but demand a high level of community participation. This study aimed to identify prioritized needs as well as lessons learned for successful project implementation in different Latin American communities.MethodsThis study was based on a Community Based Inclusive Development project conducted from 2018 to 2021 led by a Columbian team in Columbia, Brazil and Bolivia. Within a sequential mixed methods design, we first retrospectively analyzed the project baseline data and then conducted Focus Group Discussions, together with ratings of community participation levels. Quantitative descriptive and between group analysis of the baseline survey were used to identify and compare sociodemographic characteristics and prioritized needs of participating communities. We conducted qualitative thematic analysis on Focus Group Discussions, using deductive main categories for triangulation: 1) prioritized needs and 2) lessons learned, with subcategories project impact, facilitators, barriers and community participation. Community participation was assessed via spidergrams. Key findings were compared with triangulation protocols.ResultsA total of 348 people with disability from 6 urban settings participated in the baseline survey, with a mean age of 37.6 years (SD 23.8). Out of these, 18 participated within the four Focus Group Discussions. Less than half of the survey participants were able to read and calculate (42.0%) and reported knowledge on health care routes (46.0%). Unemployment (87.9%) and inadequate housing (57.8%) were other prioritized needs across countries. Focus Group Discussions revealed needs within health, education, livelihood, social and empowerment domains. Participants highlighted positive project impact in work inclusion, self-esteem and ability for self-advocacy. Facilitators included individual leadership, community networks and previous reputation of participating organizations. Barriers against successful project implementation were inadequate contextualization, lack of resources and on-site support, mostly due to the COVID-19 pandemic. The overall level of community participation was high (mean score 4.0/5) with lower levels in Brazil (3.8/5) and Bolivia (3.2/5).ConclusionPeople with disability still face significant needs. Community Based Inclusive Development can initiate positive changes, but adequate contextualization and on-site support should be assured.

Dataset Information

Data-driven, cross-disciplinary collaboration: lessons learned at the largest academic health center in Latin America during the COVID-19 pandemic.

Introduction

Methods

Results

Discussion

Publications

Data-driven, cross-disciplinary collaboration: lessons learned at the largest academic health center in Latin America during the COVID-19 pandemic.

Similar Datasets

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