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

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 indir...

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Main Authors: Bianca Maria Maglia Orlandi, Omar Asdrúbal Vilca Mejia, Gabrielle Barbosa Borgomoni, Maxim Goncharov, Kenji Nakahara Rocha, Lucas Bassolli, Pedro Gabriel Melo de Barros E Silva, Marcelo Arruda Nakazone, Alexandre Sousa, Valquíria Pelisser Campagnucci, Karlos Alexandre de Sousa Vilarinho, Marcelo Katz, Marcos Gradim Tiveron, Magaly Arrais Dos Santos, Luiz Augusto Ferreira Lisboa, Luis Alberto de Oliveira Dallan, Fábio Biscegli Jatene, REPLICCAR II Study Group
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0223343
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spelling doaj-53b5514958404d28b5ff86e7348c6d722021-03-03T21:53:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01157e022334310.1371/journal.pone.0223343REPLICCAR II Study: Data quality audit in the Paulista Cardiovascular Surgery Registry.Bianca Maria Maglia OrlandiOmar Asdrúbal Vilca MejiaGabrielle Barbosa BorgomoniMaxim GoncharovKenji Nakahara RochaLucas BassolliPedro Gabriel Melo de Barros E SilvaMarcelo Arruda NakazoneAlexandre SousaValquíria Pelisser CampagnucciKarlos Alexandre de Sousa VilarinhoMarcelo KatzMarcos Gradim TiveronMagaly Arrais Dos SantosLuiz Augusto Ferreira LisboaLuis Alberto de Oliveira DallanFábio Biscegli JateneREPLICCAR II Study GroupThe 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.https://doi.org/10.1371/journal.pone.0223343
collection DOAJ
language English
format Article
sources DOAJ
author Bianca Maria Maglia Orlandi
Omar Asdrúbal Vilca Mejia
Gabrielle Barbosa Borgomoni
Maxim Goncharov
Kenji Nakahara Rocha
Lucas Bassolli
Pedro Gabriel Melo de Barros E Silva
Marcelo Arruda Nakazone
Alexandre Sousa
Valquíria Pelisser Campagnucci
Karlos Alexandre de Sousa Vilarinho
Marcelo Katz
Marcos Gradim Tiveron
Magaly Arrais Dos Santos
Luiz Augusto Ferreira Lisboa
Luis Alberto de Oliveira Dallan
Fábio Biscegli Jatene
REPLICCAR II Study Group
spellingShingle Bianca Maria Maglia Orlandi
Omar Asdrúbal Vilca Mejia
Gabrielle Barbosa Borgomoni
Maxim Goncharov
Kenji Nakahara Rocha
Lucas Bassolli
Pedro Gabriel Melo de Barros E Silva
Marcelo Arruda Nakazone
Alexandre Sousa
Valquíria Pelisser Campagnucci
Karlos Alexandre de Sousa Vilarinho
Marcelo Katz
Marcos Gradim Tiveron
Magaly Arrais Dos Santos
Luiz Augusto Ferreira Lisboa
Luis Alberto de Oliveira Dallan
Fábio Biscegli Jatene
REPLICCAR II Study Group
REPLICCAR II Study: Data quality audit in the Paulista Cardiovascular Surgery Registry.
PLoS ONE
author_facet Bianca Maria Maglia Orlandi
Omar Asdrúbal Vilca Mejia
Gabrielle Barbosa Borgomoni
Maxim Goncharov
Kenji Nakahara Rocha
Lucas Bassolli
Pedro Gabriel Melo de Barros E Silva
Marcelo Arruda Nakazone
Alexandre Sousa
Valquíria Pelisser Campagnucci
Karlos Alexandre de Sousa Vilarinho
Marcelo Katz
Marcos Gradim Tiveron
Magaly Arrais Dos Santos
Luiz Augusto Ferreira Lisboa
Luis Alberto de Oliveira Dallan
Fábio Biscegli Jatene
REPLICCAR II Study Group
author_sort Bianca Maria Maglia Orlandi
title REPLICCAR II Study: Data quality audit in the Paulista Cardiovascular Surgery Registry.
title_short REPLICCAR II Study: Data quality audit in the Paulista Cardiovascular Surgery Registry.
title_full REPLICCAR II Study: Data quality audit in the Paulista Cardiovascular Surgery Registry.
title_fullStr REPLICCAR II Study: Data quality audit in the Paulista Cardiovascular Surgery Registry.
title_full_unstemmed REPLICCAR II Study: Data quality audit in the Paulista Cardiovascular Surgery Registry.
title_sort repliccar ii study: data quality audit in the paulista cardiovascular surgery registry.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description 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.
url https://doi.org/10.1371/journal.pone.0223343
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