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Concordance between administrative claims and registry data for identifying metastasis to the bone: an exploratory analysis in prostate cancer

BACKGROUND: To assess concordance between Medicare claims and Surveillance, Epidemiology, and End Results (SEER) reports of incident BM among prostate cancer (PCa) patients. The prevalence and consequences of bone metastases (BM) have been examined across tumor sites using healthcare claims data how...

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Autores principales: Onukwugha, Eberechukwu, Yong, Candice, Hussain, Arif, Seal, Brian, Mullins, C Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3932043/
https://www.ncbi.nlm.nih.gov/pubmed/24383436
http://dx.doi.org/10.1186/1471-2288-14-1
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author Onukwugha, Eberechukwu
Yong, Candice
Hussain, Arif
Seal, Brian
Mullins, C Daniel
author_facet Onukwugha, Eberechukwu
Yong, Candice
Hussain, Arif
Seal, Brian
Mullins, C Daniel
author_sort Onukwugha, Eberechukwu
collection PubMed
description BACKGROUND: To assess concordance between Medicare claims and Surveillance, Epidemiology, and End Results (SEER) reports of incident BM among prostate cancer (PCa) patients. The prevalence and consequences of bone metastases (BM) have been examined across tumor sites using healthcare claims data however the reliability of these claims-based BM measures has not been investigated. METHODS: This retrospective cohort study utilized linked registry and claims (SEER-Medicare) data on men diagnosed with incident stage IV M1 PCa between 2005 and 2007. The SEER-based measure of incident BM was cross-tabulated with three separate Medicare claims approaches to assess concordance. Sensitivity, specificity and positive predictive value (PPV) were calculated to assess the concordance between registry- and claims-based measures. RESULTS: Based on 2,708 PCa patients in SEER-Medicare, there is low to moderate concordance between the SEER- and claims-based measures of incident BM. Across the three approaches, sensitivity ranged from 0.48 (0.456 – 0.504) to 0.598 (0.574 - 0.621), specificity ranged from 0.538 (0.507 - 0.569) to 0.620 (0.590 - 0.650) and PPV ranged from 0.679 (0.651 - 0.705) to 0.690 (0.665 - 0.715). A comparison of utilization patterns between SEER-based and claims-based measures suggested avenues for improving sensitivity. CONCLUSION: Claims-based measures using BM ICD 9 coding may be insufficient to identify patients with incident BM diagnosis and should be validated against chart data to maximize their potential for population-based analyses.
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spelling pubmed-39320432014-02-23 Concordance between administrative claims and registry data for identifying metastasis to the bone: an exploratory analysis in prostate cancer Onukwugha, Eberechukwu Yong, Candice Hussain, Arif Seal, Brian Mullins, C Daniel BMC Med Res Methodol Research Article BACKGROUND: To assess concordance between Medicare claims and Surveillance, Epidemiology, and End Results (SEER) reports of incident BM among prostate cancer (PCa) patients. The prevalence and consequences of bone metastases (BM) have been examined across tumor sites using healthcare claims data however the reliability of these claims-based BM measures has not been investigated. METHODS: This retrospective cohort study utilized linked registry and claims (SEER-Medicare) data on men diagnosed with incident stage IV M1 PCa between 2005 and 2007. The SEER-based measure of incident BM was cross-tabulated with three separate Medicare claims approaches to assess concordance. Sensitivity, specificity and positive predictive value (PPV) were calculated to assess the concordance between registry- and claims-based measures. RESULTS: Based on 2,708 PCa patients in SEER-Medicare, there is low to moderate concordance between the SEER- and claims-based measures of incident BM. Across the three approaches, sensitivity ranged from 0.48 (0.456 – 0.504) to 0.598 (0.574 - 0.621), specificity ranged from 0.538 (0.507 - 0.569) to 0.620 (0.590 - 0.650) and PPV ranged from 0.679 (0.651 - 0.705) to 0.690 (0.665 - 0.715). A comparison of utilization patterns between SEER-based and claims-based measures suggested avenues for improving sensitivity. CONCLUSION: Claims-based measures using BM ICD 9 coding may be insufficient to identify patients with incident BM diagnosis and should be validated against chart data to maximize their potential for population-based analyses. BioMed Central 2014-01-02 /pmc/articles/PMC3932043/ /pubmed/24383436 http://dx.doi.org/10.1186/1471-2288-14-1 Text en Copyright © 2014 Onukwugha et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Onukwugha, Eberechukwu
Yong, Candice
Hussain, Arif
Seal, Brian
Mullins, C Daniel
Concordance between administrative claims and registry data for identifying metastasis to the bone: an exploratory analysis in prostate cancer
title Concordance between administrative claims and registry data for identifying metastasis to the bone: an exploratory analysis in prostate cancer
title_full Concordance between administrative claims and registry data for identifying metastasis to the bone: an exploratory analysis in prostate cancer
title_fullStr Concordance between administrative claims and registry data for identifying metastasis to the bone: an exploratory analysis in prostate cancer
title_full_unstemmed Concordance between administrative claims and registry data for identifying metastasis to the bone: an exploratory analysis in prostate cancer
title_short Concordance between administrative claims and registry data for identifying metastasis to the bone: an exploratory analysis in prostate cancer
title_sort concordance between administrative claims and registry data for identifying metastasis to the bone: an exploratory analysis in prostate cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3932043/
https://www.ncbi.nlm.nih.gov/pubmed/24383436
http://dx.doi.org/10.1186/1471-2288-14-1
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