Claims-based definition of death in Japanese claims database: validity and implications
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. We used healthcare claims and enrollment data between January 2005 and August 2009 for 195,193 beneficiarie...
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description | 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.
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.
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. |
doi_str_mv | 10.1371/journal.pone.0066116 |
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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.
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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0066116</identifier><identifier>PMID: 23741526</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Aged ; Antidepressants ; Beneficiaries ; Biology ; Comorbidity ; Computer centers ; Data bases ; Databases, Factual ; Death ; Demographics ; Diabetes ; Discharge ; Drugs ; Female ; Health care ; Health insurance ; Humans ; Insurance Claim Review - standards ; Japan ; Male ; Medical diagnosis ; Medical research ; Medicine ; Middle Aged ; Mortality ; Patients ; Pharmacy ; Reproducibility of Results ; Researchers ; Sensitivity ; Sensitivity and Specificity ; Social and Behavioral Sciences ; Studies ; Subgroups ; Subpopulations ; Unions ; University faculty ; Validity ; Variation ; Vital statistics ; Young Adult</subject><ispartof>PloS one, 2013-05, Vol.8 (5), p.e66116-e66116</ispartof><rights>2013 Ooba et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Ooba et al 2013 Ooba et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c592t-e7fb7361d400121ddf7c9dea7d59cf41a58a4730866193890a87e9007be671543</citedby><cites>FETCH-LOGICAL-c592t-e7fb7361d400121ddf7c9dea7d59cf41a58a4730866193890a87e9007be671543</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3669209/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3669209/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2101,2927,23865,27923,27924,53790,53792,79471,79472</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23741526$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zhang, Harry</contributor><creatorcontrib>Ooba, Nobuhiro</creatorcontrib><creatorcontrib>Setoguchi, Soko</creatorcontrib><creatorcontrib>Ando, Takashi</creatorcontrib><creatorcontrib>Sato, Tsugumichi</creatorcontrib><creatorcontrib>Yamaguchi, Takuhiro</creatorcontrib><creatorcontrib>Mochizuki, Mayumi</creatorcontrib><creatorcontrib>Kubota, Kiyoshi</creatorcontrib><title>Claims-based definition of death in Japanese claims database: validity and implications</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
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.
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.</description><subject>Adult</subject><subject>Aged</subject><subject>Antidepressants</subject><subject>Beneficiaries</subject><subject>Biology</subject><subject>Comorbidity</subject><subject>Computer centers</subject><subject>Data bases</subject><subject>Databases, Factual</subject><subject>Death</subject><subject>Demographics</subject><subject>Diabetes</subject><subject>Discharge</subject><subject>Drugs</subject><subject>Female</subject><subject>Health care</subject><subject>Health insurance</subject><subject>Humans</subject><subject>Insurance Claim Review - standards</subject><subject>Japan</subject><subject>Male</subject><subject>Medical diagnosis</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Patients</subject><subject>Pharmacy</subject><subject>Reproducibility of Results</subject><subject>Researchers</subject><subject>Sensitivity</subject><subject>Sensitivity and Specificity</subject><subject>Social and Behavioral Sciences</subject><subject>Studies</subject><subject>Subgroups</subject><subject>Subpopulations</subject><subject>Unions</subject><subject>University faculty</subject><subject>Validity</subject><subject>Variation</subject><subject>Vital statistics</subject><subject>Young 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definition of death in Japanese claims database: validity and implications</title><author>Ooba, Nobuhiro ; Setoguchi, Soko ; Ando, Takashi ; Sato, Tsugumichi ; Yamaguchi, Takuhiro ; Mochizuki, Mayumi ; Kubota, Kiyoshi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c592t-e7fb7361d400121ddf7c9dea7d59cf41a58a4730866193890a87e9007be671543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Antidepressants</topic><topic>Beneficiaries</topic><topic>Biology</topic><topic>Comorbidity</topic><topic>Computer centers</topic><topic>Data bases</topic><topic>Databases, Factual</topic><topic>Death</topic><topic>Demographics</topic><topic>Diabetes</topic><topic>Discharge</topic><topic>Drugs</topic><topic>Female</topic><topic>Health care</topic><topic>Health insurance</topic><topic>Humans</topic><topic>Insurance Claim Review - 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Harry</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Claims-based definition of death in Japanese claims database: validity and implications</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-05-31</date><risdate>2013</risdate><volume>8</volume><issue>5</issue><spage>e66116</spage><epage>e66116</epage><pages>e66116-e66116</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
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.
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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23741526</pmid><doi>10.1371/journal.pone.0066116</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Antidepressants Beneficiaries Biology Comorbidity Computer centers Data bases Databases, Factual Death Demographics Diabetes Discharge Drugs Female Health care Health insurance Humans Insurance Claim Review - standards Japan Male Medical diagnosis Medical research Medicine Middle Aged Mortality Patients Pharmacy Reproducibility of Results Researchers Sensitivity Sensitivity and Specificity Social and Behavioral Sciences Studies Subgroups Subpopulations Unions University faculty Validity Variation Vital statistics Young Adult |
title | Claims-based definition of death in Japanese claims database: validity and implications |
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