A code for clinical trials centralized monitoring, sharing open-science solutions to high-quality data

被引:0
|
作者
Daher, Andre [1 ]
Castro-Alves, Julio [2 ]
Amparo, Leandro [1 ]
de Moraes, Natalia Pacheco [1 ]
Araujo dos Santos, Thais Regina [1 ]
dos Santos, Karla Regina Gram [1 ]
do Valle, Cristiane Siqueira [1 ]
Hermoso, Maria [1 ]
Correa Oliveira, Rodrigo [1 ]
机构
[1] Oswaldo Cruz Fdn FIOCRUZ, Vice Presidency Res & Biol Collect, Rio De Janeiro, Brazil
[2] Oswaldo Cruz Fdn Fiocruz, Natl Inst Infect Dis, Rio De Janeiro, Brazil
来源
PLOS ONE | 2023年 / 18卷 / 11期
关键词
D O I
10.1371/journal.pone.0294412
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Monitoring of clinical trials is critical to the protection of human subjects and the conduct of high-quality research. Even though the adoption of risk-based monitoring (RBM) has been suggested for many years, the RBM approach has been less widespread than expected. Centralized monitoring is one of the RMB pillars, together with remote-site monitoring visits, reduced Source Data Verification (SDV) and Source Document Reviews (SDR). The COVID-19 pandemic promoted disruptions in the conduction of clinical trials, as on-site monitoring visits were adjourned. In this context, the transition to RBM by all actors involved in clinical trials has been encouraged. In order to ensure the highest quality of data within a COVID-19 clinical trial, a centralized monitoring tool alongside Case Report Forms (CRFs) and synchronous automated routines were developed at the clinical research platform, Fiocruz, Brazilian Ministry of Health. This paper describes how these tools were developed, their features, advantages, and limitations. The software codes, and the CRFs are available at the Fiocruz Data Repository for Research-Arca Dados, reaffirming Fiocruz's commitment to Open Science practices.
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页数:14
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