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Validation Of Cancer Diagnoses In Electronic Health Records: Results From The Information System For Research In Primary Care (SIDIAP) In Northeast Spain

BACKGROUND: Electronic health records are becoming an increasingly valuable resource for epidemiology but their data quality needs to be quantified. We aimed to validate twenty-five types of incident cancer cases in the Information System for Research in Primary Care (SIDIAP) in Catalonia with the p...

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Autores principales: Recalde, Martina, Manzano-Salgado, Cyntia B, Díaz, Yesika, Puente, Diana, Garcia-Gil, Maria Del Mar, Marcos-Gragera, Rafael, Ribes-Puig, Josefa, Galceran, Jaume, Posso, Margarita, Macià, Francesc, Duarte-Salles, Talita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6899079/
https://www.ncbi.nlm.nih.gov/pubmed/31819655
http://dx.doi.org/10.2147/CLEP.S225568
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author Recalde, Martina
Manzano-Salgado, Cyntia B
Díaz, Yesika
Puente, Diana
Garcia-Gil, Maria Del Mar
Marcos-Gragera, Rafael
Ribes-Puig, Josefa
Galceran, Jaume
Posso, Margarita
Macià, Francesc
Duarte-Salles, Talita
author_facet Recalde, Martina
Manzano-Salgado, Cyntia B
Díaz, Yesika
Puente, Diana
Garcia-Gil, Maria Del Mar
Marcos-Gragera, Rafael
Ribes-Puig, Josefa
Galceran, Jaume
Posso, Margarita
Macià, Francesc
Duarte-Salles, Talita
author_sort Recalde, Martina
collection PubMed
description BACKGROUND: Electronic health records are becoming an increasingly valuable resource for epidemiology but their data quality needs to be quantified. We aimed to validate twenty-five types of incident cancer cases in the Information System for Research in Primary Care (SIDIAP) in Catalonia with the population-based cancer registries of Girona and Tarragona as the gold-standard. METHODS: We calculated the sensitivity, positive predictive values (PPV), and the time-difference between the date of diagnosis entered into the SIDIAP and into the registries. We added hospital discharge cancer diagnoses to the SIDIAP to assess sensitivity changes. RESULTS: We identified 27,046 incident cancer diagnoses in the SIDIAP from 2009–2015 among the 949,841 residents of Girona and Tarragona. The cancer types with the highest sensitivity were breast (89%, 95% CI: 88–90%), colorectal (81%, 95% CI: 80–82%), and prostate (81%, 95% CI: 80–83%). Trachea, bronchus and lung cancers had the highest PPV (76%, 95% CI: 74%-78%) followed by stomach (72%, 95% CI: 68–75%) and pancreas (71%, 95% CI: 67–75%). Most cancer diagnoses were reported with less than three months of difference between the SIDIAP and the registries. More cases were registered first in the registries than in the SIDIAP. By adding cancer diagnoses based on hospital discharge data, sensitivity increased for all cancers, especially for gallbladder and biliary tract for which the sensitivity increased by 21%. CONCLUSION: The SIDIAP includes 76% of the cancer diagnoses in the cancer registries but includes a considerable number of cases that are not in the registries. The SIDIAP reports most of the cancer diagnoses within a three-month period difference from the date of diagnosis in the cancer registries. Our results support the use of the SIDIAP cancer diagnoses for epidemiological research when cancer is the outcome of interest. We recommend adding hospital discharge data to the SIDIAP to increase data quality, particularly for less frequent cancer types.
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spelling pubmed-68990792019-12-09 Validation Of Cancer Diagnoses In Electronic Health Records: Results From The Information System For Research In Primary Care (SIDIAP) In Northeast Spain Recalde, Martina Manzano-Salgado, Cyntia B Díaz, Yesika Puente, Diana Garcia-Gil, Maria Del Mar Marcos-Gragera, Rafael Ribes-Puig, Josefa Galceran, Jaume Posso, Margarita Macià, Francesc Duarte-Salles, Talita Clin Epidemiol Original Research BACKGROUND: Electronic health records are becoming an increasingly valuable resource for epidemiology but their data quality needs to be quantified. We aimed to validate twenty-five types of incident cancer cases in the Information System for Research in Primary Care (SIDIAP) in Catalonia with the population-based cancer registries of Girona and Tarragona as the gold-standard. METHODS: We calculated the sensitivity, positive predictive values (PPV), and the time-difference between the date of diagnosis entered into the SIDIAP and into the registries. We added hospital discharge cancer diagnoses to the SIDIAP to assess sensitivity changes. RESULTS: We identified 27,046 incident cancer diagnoses in the SIDIAP from 2009–2015 among the 949,841 residents of Girona and Tarragona. The cancer types with the highest sensitivity were breast (89%, 95% CI: 88–90%), colorectal (81%, 95% CI: 80–82%), and prostate (81%, 95% CI: 80–83%). Trachea, bronchus and lung cancers had the highest PPV (76%, 95% CI: 74%-78%) followed by stomach (72%, 95% CI: 68–75%) and pancreas (71%, 95% CI: 67–75%). Most cancer diagnoses were reported with less than three months of difference between the SIDIAP and the registries. More cases were registered first in the registries than in the SIDIAP. By adding cancer diagnoses based on hospital discharge data, sensitivity increased for all cancers, especially for gallbladder and biliary tract for which the sensitivity increased by 21%. CONCLUSION: The SIDIAP includes 76% of the cancer diagnoses in the cancer registries but includes a considerable number of cases that are not in the registries. The SIDIAP reports most of the cancer diagnoses within a three-month period difference from the date of diagnosis in the cancer registries. Our results support the use of the SIDIAP cancer diagnoses for epidemiological research when cancer is the outcome of interest. We recommend adding hospital discharge data to the SIDIAP to increase data quality, particularly for less frequent cancer types. Dove 2019-12-03 /pmc/articles/PMC6899079/ /pubmed/31819655 http://dx.doi.org/10.2147/CLEP.S225568 Text en © 2019 Recalde et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Recalde, Martina
Manzano-Salgado, Cyntia B
Díaz, Yesika
Puente, Diana
Garcia-Gil, Maria Del Mar
Marcos-Gragera, Rafael
Ribes-Puig, Josefa
Galceran, Jaume
Posso, Margarita
Macià, Francesc
Duarte-Salles, Talita
Validation Of Cancer Diagnoses In Electronic Health Records: Results From The Information System For Research In Primary Care (SIDIAP) In Northeast Spain
title Validation Of Cancer Diagnoses In Electronic Health Records: Results From The Information System For Research In Primary Care (SIDIAP) In Northeast Spain
title_full Validation Of Cancer Diagnoses In Electronic Health Records: Results From The Information System For Research In Primary Care (SIDIAP) In Northeast Spain
title_fullStr Validation Of Cancer Diagnoses In Electronic Health Records: Results From The Information System For Research In Primary Care (SIDIAP) In Northeast Spain
title_full_unstemmed Validation Of Cancer Diagnoses In Electronic Health Records: Results From The Information System For Research In Primary Care (SIDIAP) In Northeast Spain
title_short Validation Of Cancer Diagnoses In Electronic Health Records: Results From The Information System For Research In Primary Care (SIDIAP) In Northeast Spain
title_sort validation of cancer diagnoses in electronic health records: results from the information system for research in primary care (sidiap) in northeast spain
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6899079/
https://www.ncbi.nlm.nih.gov/pubmed/31819655
http://dx.doi.org/10.2147/CLEP.S225568
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