Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jul 10;15(7):e0223343.
doi: 10.1371/journal.pone.0223343. eCollection 2020.

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

Bianca Maria Maglia Orlandi  1 , Omar Asdrúbal Vilca Mejia  1 , Gabrielle Barbosa Borgomoni  1 , Maxim Goncharov  1 , Kenji Nakahara Rocha  1 , Lucas Bassolli  1 , Pedro Gabriel Melo de Barros E Silva  2 , Marcelo Arruda Nakazone  3 , Alexandre Sousa  4 , Valquíria Pelisser Campagnucci  5 , Karlos Alexandre de Sousa Vilarinho  6 , Marcelo Katz  7 , Marcos Gradim Tiveron  8 , Magaly Arrais Dos Santos  9 , Luiz Augusto Ferreira Lisboa  1 , Luis Alberto de Oliveira Dallan  1 , Fábio Biscegli Jatene  1 ; REPLICCAR II Study Group
Affiliations

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

Bianca Maria Maglia Orlandi et al. PLoS One. .

Abstract

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.

PubMed Disclaimer

Conflict of interest statement

We know of no conflicts of interest associated with this publication.

Figures

Fig 1
Fig 1. ADQ score for the variables analyzed in the indirect audit.
REPLICCAR II, 2019.
See this image and copyright information in PMC

References

    1. Salati M, Brunelli A, Dahan M, et al. TaskBr-independent metrics to assess the data quality of medical registries using the European Society of Thoracic Surgeons (ESTS) Database. Eur J Cardiothoracic Surg 2011;40(1):91–98. - PubMed
    1. Marques F. Promessa de Boicote: Cientistas da computação propõe veto a nova revista de inteligência artificial por ela não adotar acesso aberto. Revista FAPESP 2018;268(19): 37–39.
    1. Zhang R, Jayawardene V, Indulska M, et al. A data driven approach for discovering data quality requirements. ICIS 2014 Proc. 2014;1–10.
    1. Salati M, Falcoz PE, Decaluwe H, et al. The European thoracic data quality project: An Aggregate Data Quality score to measure the quality of international multi-institutional databases. Eur J Cardiothoracic Surg 2016;49(5):1470–1475. - PubMed
    1. Dreyer NA, Bryant A, Velentgas P. The GRACE Checklist: A validated assessment tool for high quality observational studies of comparative effectiveness. J Manag Care Spec Pharm 2016;22(10):1107–1113. 10.18553/jmcp.2016.22.10.1107 - DOI - PMC - PubMed

Publication types