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Claims-Based Definition of Death in Japanese Claims Database: Validity and Implications

BACKGROUND: For the pending National Claims Database in Japan, researchers will not have access to death information in the enrollment files. We developed and evaluated a claims-based definition of death. METHODOLOGY/PRINCIPAL FINDINGS: We used healthcare claims and enrollment data between January 2...

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Autores principales: Ooba, Nobuhiro, Setoguchi, Soko, Ando, Takashi, Sato, Tsugumichi, Yamaguchi, Takuhiro, Mochizuki, Mayumi, Kubota, Kiyoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3669209/
https://www.ncbi.nlm.nih.gov/pubmed/23741526
http://dx.doi.org/10.1371/journal.pone.0066116
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author Ooba, Nobuhiro
Setoguchi, Soko
Ando, Takashi
Sato, Tsugumichi
Yamaguchi, Takuhiro
Mochizuki, Mayumi
Kubota, Kiyoshi
author_facet Ooba, Nobuhiro
Setoguchi, Soko
Ando, Takashi
Sato, Tsugumichi
Yamaguchi, Takuhiro
Mochizuki, Mayumi
Kubota, Kiyoshi
author_sort Ooba, Nobuhiro
collection PubMed
description BACKGROUND: For the pending National Claims Database in Japan, researchers will not have access to death information in the enrollment files. We developed and evaluated a claims-based definition of death. METHODOLOGY/PRINCIPAL FINDINGS: We used healthcare claims and enrollment data between January 2005 and August 2009 for 195,193 beneficiaries aged 20 to 74 in 3 private health insurance unions. We developed claims-based definitions of death using discharge or disease status and Charlson comorbidity index (CCI). We calculated sensitivity, specificity and positive predictive values (PPVs) using the enrollment data as a gold standard in the overall population and subgroups divided by demographic and other factors. We also assessed bias and precision in two example studies where an outcome was death. The definition based on the combination of discharge/disease status and CCI provided moderate sensitivity (around 60%) and high specificity (99.99%) and high PPVs (94.8%). In most subgroups, sensitivity of the preferred definition was also around 60% but varied from 28 to 91%. In an example study comparing death rates between two anticancer drug classes, the claims-based definition provided valid and precise hazard ratios (HRs). In another example study comparing two classes of anti-depressants, the HR with the claims-based definition was biased and had lower precision than that with the gold standard definition. CONCLUSIONS/SIGNIFICANCE: The claims-based definitions of death developed in this study had high specificity and PPVs while sensitivity was around 60%. The definitions will be useful in future studies when used with attention to the possible fluctuation of sensitivity in some subpopulations.
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spelling pubmed-36692092013-06-05 Claims-Based Definition of Death in Japanese Claims Database: Validity and Implications Ooba, Nobuhiro Setoguchi, Soko Ando, Takashi Sato, Tsugumichi Yamaguchi, Takuhiro Mochizuki, Mayumi Kubota, Kiyoshi PLoS One Research Article BACKGROUND: For the pending National Claims Database in Japan, researchers will not have access to death information in the enrollment files. We developed and evaluated a claims-based definition of death. METHODOLOGY/PRINCIPAL FINDINGS: We used healthcare claims and enrollment data between January 2005 and August 2009 for 195,193 beneficiaries aged 20 to 74 in 3 private health insurance unions. We developed claims-based definitions of death using discharge or disease status and Charlson comorbidity index (CCI). We calculated sensitivity, specificity and positive predictive values (PPVs) using the enrollment data as a gold standard in the overall population and subgroups divided by demographic and other factors. We also assessed bias and precision in two example studies where an outcome was death. The definition based on the combination of discharge/disease status and CCI provided moderate sensitivity (around 60%) and high specificity (99.99%) and high PPVs (94.8%). In most subgroups, sensitivity of the preferred definition was also around 60% but varied from 28 to 91%. In an example study comparing death rates between two anticancer drug classes, the claims-based definition provided valid and precise hazard ratios (HRs). In another example study comparing two classes of anti-depressants, the HR with the claims-based definition was biased and had lower precision than that with the gold standard definition. CONCLUSIONS/SIGNIFICANCE: The claims-based definitions of death developed in this study had high specificity and PPVs while sensitivity was around 60%. The definitions will be useful in future studies when used with attention to the possible fluctuation of sensitivity in some subpopulations. Public Library of Science 2013-05-31 /pmc/articles/PMC3669209/ /pubmed/23741526 http://dx.doi.org/10.1371/journal.pone.0066116 Text en © 2013 Ooba et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Ooba, Nobuhiro
Setoguchi, Soko
Ando, Takashi
Sato, Tsugumichi
Yamaguchi, Takuhiro
Mochizuki, Mayumi
Kubota, Kiyoshi
Claims-Based Definition of Death in Japanese Claims Database: Validity and Implications
title Claims-Based Definition of Death in Japanese Claims Database: Validity and Implications
title_full Claims-Based Definition of Death in Japanese Claims Database: Validity and Implications
title_fullStr Claims-Based Definition of Death in Japanese Claims Database: Validity and Implications
title_full_unstemmed Claims-Based Definition of Death in Japanese Claims Database: Validity and Implications
title_short Claims-Based Definition of Death in Japanese Claims Database: Validity and Implications
title_sort claims-based definition of death in japanese claims database: validity and implications
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3669209/
https://www.ncbi.nlm.nih.gov/pubmed/23741526
http://dx.doi.org/10.1371/journal.pone.0066116
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