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Apples and pears? A comparison of two sources of national lung cancer audit data in England
In 2014, the method of data collection from NHS trusts in England for the National Lung Cancer Audit (NLCA) was changed from a bespoke dataset called LUCADA (Lung Cancer Data). Under the new contract, data are submitted via the Cancer Outcome and Service Dataset (COSD) system and linked additional c...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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European Respiratory Society
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5521232/ https://www.ncbi.nlm.nih.gov/pubmed/28748189 http://dx.doi.org/10.1183/23120541.00003-2017 |
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author | Khakwani, Aamir Jack, Ruth H. Vernon, Sally Dickinson, Rosie Wood, Natasha Harden, Susan Beckett, Paul Woolhouse, Ian Hubbard, Richard B. |
author_facet | Khakwani, Aamir Jack, Ruth H. Vernon, Sally Dickinson, Rosie Wood, Natasha Harden, Susan Beckett, Paul Woolhouse, Ian Hubbard, Richard B. |
author_sort | Khakwani, Aamir |
collection | PubMed |
description | In 2014, the method of data collection from NHS trusts in England for the National Lung Cancer Audit (NLCA) was changed from a bespoke dataset called LUCADA (Lung Cancer Data). Under the new contract, data are submitted via the Cancer Outcome and Service Dataset (COSD) system and linked additional cancer registry datasets. In 2014, trusts were given opportunity to submit LUCADA data as well as registry data. 132 NHS trusts submitted LUCADA data, and all 151 trusts submitted COSD data. This transitional year therefore provided the opportunity to compare both datasets for data completeness and reliability. We linked the two datasets at the patient level to assess the completeness of key patient and treatment variables. We also assessed the interdata agreement of these variables using Cohen's kappa statistic, κ. We identified 26 001 patients in both datasets. Overall, the recording of sex, age, performance status and stage had more than 90% agreement between datasets, but there were more patients with missing performance status in the registry dataset. Although levels of agreement for surgery, chemotherapy and external-beam radiotherapy were high between datasets, the new COSD system identified more instances of active treatment. There seems to be a high agreement of data between the datasets, and the findings suggest that the registry dataset coupled with COSD provides a richer dataset than LUCADA. However, it lagged behind LUCADA in performance status recording, which needs to improve over time. |
format | Online Article Text |
id | pubmed-5521232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | European Respiratory Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-55212322017-07-26 Apples and pears? A comparison of two sources of national lung cancer audit data in England Khakwani, Aamir Jack, Ruth H. Vernon, Sally Dickinson, Rosie Wood, Natasha Harden, Susan Beckett, Paul Woolhouse, Ian Hubbard, Richard B. ERJ Open Res Original Articles In 2014, the method of data collection from NHS trusts in England for the National Lung Cancer Audit (NLCA) was changed from a bespoke dataset called LUCADA (Lung Cancer Data). Under the new contract, data are submitted via the Cancer Outcome and Service Dataset (COSD) system and linked additional cancer registry datasets. In 2014, trusts were given opportunity to submit LUCADA data as well as registry data. 132 NHS trusts submitted LUCADA data, and all 151 trusts submitted COSD data. This transitional year therefore provided the opportunity to compare both datasets for data completeness and reliability. We linked the two datasets at the patient level to assess the completeness of key patient and treatment variables. We also assessed the interdata agreement of these variables using Cohen's kappa statistic, κ. We identified 26 001 patients in both datasets. Overall, the recording of sex, age, performance status and stage had more than 90% agreement between datasets, but there were more patients with missing performance status in the registry dataset. Although levels of agreement for surgery, chemotherapy and external-beam radiotherapy were high between datasets, the new COSD system identified more instances of active treatment. There seems to be a high agreement of data between the datasets, and the findings suggest that the registry dataset coupled with COSD provides a richer dataset than LUCADA. However, it lagged behind LUCADA in performance status recording, which needs to improve over time. European Respiratory Society 2017-07-21 /pmc/articles/PMC5521232/ /pubmed/28748189 http://dx.doi.org/10.1183/23120541.00003-2017 Text en The content of this work is ©the authors or their employers. Design and branding are ©ERS 2017. http://creativecommons.org/licenses/by-nc/4.0/ This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. |
spellingShingle | Original Articles Khakwani, Aamir Jack, Ruth H. Vernon, Sally Dickinson, Rosie Wood, Natasha Harden, Susan Beckett, Paul Woolhouse, Ian Hubbard, Richard B. Apples and pears? A comparison of two sources of national lung cancer audit data in England |
title | Apples and pears? A comparison of two sources of national lung cancer audit data in England |
title_full | Apples and pears? A comparison of two sources of national lung cancer audit data in England |
title_fullStr | Apples and pears? A comparison of two sources of national lung cancer audit data in England |
title_full_unstemmed | Apples and pears? A comparison of two sources of national lung cancer audit data in England |
title_short | Apples and pears? A comparison of two sources of national lung cancer audit data in England |
title_sort | apples and pears? a comparison of two sources of national lung cancer audit data in england |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5521232/ https://www.ncbi.nlm.nih.gov/pubmed/28748189 http://dx.doi.org/10.1183/23120541.00003-2017 |
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