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Reducing DCO registrations through electronic matching of cancer registry data and routine hospital data

The Thames Cancer Registry (TCR) has registered a high proportion of tumours from death certificate information only (DCO) registrations. This paper describes the results of a study set up to establish whether this proportion could be reduced by linking cancer registrations with routine hospital dat...

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Autores principales: Pollock, A M, Vickers, N
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2000
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2363307/
https://www.ncbi.nlm.nih.gov/pubmed/10682687
http://dx.doi.org/10.1054/bjoc.1999.0985
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author Pollock, A M
Vickers, N
author_facet Pollock, A M
Vickers, N
author_sort Pollock, A M
collection PubMed
description The Thames Cancer Registry (TCR) has registered a high proportion of tumours from death certificate information only (DCO) registrations. This paper describes the results of a study set up to establish whether this proportion could be reduced by linking cancer registrations with routine hospital data from the Hospital Episodes Statistics (HES) data set using computerized matching. A total of 67 752 registrations were identified from the TCR. Matches were found in the HES data set for 66%. The proportion of cases retrieved for each tumour site was: 72% for colorectal cancer; 62% for cancer of the lung, trachea or bronchus; and 65% for female breast cancer. For all three tumour sites the proportion of matches found for patients registered from hospital case notes was higher than the proportion found for patients registered as DCOs (P< 0.0001 for all three tumour sites). Among matched DCO cases, 58% had at least one procedure recorded. DCO rates might be reduced by as much as 43% (from 17% of total registrations to less than 10%) for the three most common cancers if the method of electronic matching outlined here was used. Younger age groups, prognosis of tumour site and residence in North Thames region were all positively associated with successful matching (P< 0.0001 in all three cases). Many matched DCO cases were found to have had more than one admission for cancer. Among ordinary in-patient admissions, admissions to patients ratios of 1.5, 1.4 and 1.9 were found for colorectal, lung and breast cancers respectively. Of 5190 matched DCOs a procedure was recorded for 3013 (58%). HES data offer a useful aid to follow-up of case notes on patients identified to the registry by death certificates. Doubts about the completeness and accuracy of HES data mean case notes must remain the ‘gold standard’. © 2000 Cancer Research Campaign
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spelling pubmed-23633072009-09-10 Reducing DCO registrations through electronic matching of cancer registry data and routine hospital data Pollock, A M Vickers, N Br J Cancer Regular Article The Thames Cancer Registry (TCR) has registered a high proportion of tumours from death certificate information only (DCO) registrations. This paper describes the results of a study set up to establish whether this proportion could be reduced by linking cancer registrations with routine hospital data from the Hospital Episodes Statistics (HES) data set using computerized matching. A total of 67 752 registrations were identified from the TCR. Matches were found in the HES data set for 66%. The proportion of cases retrieved for each tumour site was: 72% for colorectal cancer; 62% for cancer of the lung, trachea or bronchus; and 65% for female breast cancer. For all three tumour sites the proportion of matches found for patients registered from hospital case notes was higher than the proportion found for patients registered as DCOs (P< 0.0001 for all three tumour sites). Among matched DCO cases, 58% had at least one procedure recorded. DCO rates might be reduced by as much as 43% (from 17% of total registrations to less than 10%) for the three most common cancers if the method of electronic matching outlined here was used. Younger age groups, prognosis of tumour site and residence in North Thames region were all positively associated with successful matching (P< 0.0001 in all three cases). Many matched DCO cases were found to have had more than one admission for cancer. Among ordinary in-patient admissions, admissions to patients ratios of 1.5, 1.4 and 1.9 were found for colorectal, lung and breast cancers respectively. Of 5190 matched DCOs a procedure was recorded for 3013 (58%). HES data offer a useful aid to follow-up of case notes on patients identified to the registry by death certificates. Doubts about the completeness and accuracy of HES data mean case notes must remain the ‘gold standard’. © 2000 Cancer Research Campaign Nature Publishing Group 2000-02 2000-01-18 /pmc/articles/PMC2363307/ /pubmed/10682687 http://dx.doi.org/10.1054/bjoc.1999.0985 Text en Copyright © 2000 Cancer Research Campaign https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/.
spellingShingle Regular Article
Pollock, A M
Vickers, N
Reducing DCO registrations through electronic matching of cancer registry data and routine hospital data
title Reducing DCO registrations through electronic matching of cancer registry data and routine hospital data
title_full Reducing DCO registrations through electronic matching of cancer registry data and routine hospital data
title_fullStr Reducing DCO registrations through electronic matching of cancer registry data and routine hospital data
title_full_unstemmed Reducing DCO registrations through electronic matching of cancer registry data and routine hospital data
title_short Reducing DCO registrations through electronic matching of cancer registry data and routine hospital data
title_sort reducing dco registrations through electronic matching of cancer registry data and routine hospital data
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2363307/
https://www.ncbi.nlm.nih.gov/pubmed/10682687
http://dx.doi.org/10.1054/bjoc.1999.0985
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