• Plos One · Jan 2020

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

    • Bianca Maria Maglia Orlandi, Omar Asdrúbal Vilca Mejia, Gabrielle Barbosa Borgomoni, Maxim Goncharov, Kenji Nakahara Rocha, Lucas Bassolli, Melo de Barros E SilvaPedro GabrielPGDepartment of Cardiovascular Surgery, Hospital Samaritano Paulista, São Paulo, São Paulo, Brazil., Marcelo Arruda Nakazone, Alexandre Sousa, Valquíria Pelisser Campagnucci, de Sousa VilarinhoKarlos AlexandreKADepartment of Cardiovascular Surgery, Hospital das Clínicas da Universidade Estadual de Campinas, Campinas, São Paulo, Brazil., Marcelo Katz, Marcos Gradim Tiveron, Arrais Dos SantosMagalyMDepartment of Cardiovascular Surgery, Instituto Dante Pazzanese de Cardiologia, São Paulo, São Paulo, Brazil., Luiz Augusto Ferreira Lisboa, Luis Alberto de Oliveira Dallan, Fábio Biscegli Jatene, and REPLICCAR II Study Group.
    • Department of Cardiovascular Surgery, Instituto do Coração do Hospital das Clínicas da Faculdade de Medicina do Estado de São Paulo (INCOR), São Paulo, São Paulo, Brazil.
    • Plos One. 2020 Jan 1; 15 (7): e0223343.

    AbstractThe 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.

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