Details

Autor(en) / Beteiligte

• Orlandi, Bianca Maria Maglia
• Mejia, Omar Asdrúbal Vilca
• Borgomoni, Gabrielle Barbosa
• Goncharov, Maxim
• Rocha, Kenji Nakahara
• Bassolli, Lucas
• Melo de Barros e Silva, Pedro Gabriel
• Nakazone, Marcelo Arruda
• Sousa, Alexandre
• Campagnucci, Valquíria Pelisser
• de Sousa Vilarinho, Karlos Alexandre
• Katz, Marcelo
• Tiveron, Marcos Gradim
• Arrais dos Santos, Magaly
• Lisboa, Luiz Augusto Ferreira
• Dallan, Luis Alberto de Oliveira
• Jatene, Fábio Biscegli
• Bianchi, Cesario

Titel

REPLICCAR II Study: Data quality audit in the Paulista Cardiovascular Surgery Registry

Ist Teil von

• PloS one, 2020-07, Vol.15 (7), p.e0223343-e0223343

Ort / Verlag

San Francisco: Public Library of Science

Erscheinungsjahr

2020

Link zum Volltext

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• The quality of data in electronic healthcare databases is a critical component when used for research and health practice. The aim of the present study was to assess the data quality in the Paulista Cardiovascular Surgery Registry II (REPLICCAR II) using two different audit methods, direct and indirect. The REPLICCAR II database contains data from 9 hospitals in São Paulo State with over 700 variables for 2229 surgical patients. The data collection was performed in REDCap platform using trained data managers to abstract information. We directly audited a random sample (n = 107) of the data collected after 6 months and indirectly audited the entire sample after 1 year of data collection. The indirect audit was performed using the data management tools in REDCap platform. We computed a modified Aggregate Data Quality Score (ADQ) previously reported by Salati et al. (2015). The agreement between data elements was good for categorical data (Cohen κ = 0.7, 95%CI = 0.59–0.83). For continuous data, the intraclass coefficient (ICC) for only 2 out of 15 continuous variables had an ICC < 0.9. In the indirect audit, 77% of the selected variables (n = 23) had a good ADQ score for completeness and accuracy. Data entry in the REPLICCAR II database proved to be satisfactory and showed competence and reliable data for research in cardiovascular surgery in Brazil.