Development of algorithms for identifying patients with Crohn's disease in the Japanese health insurance claims database.

<h4>Background</h4>Real-world big data studies using health insurance claims databases require extraction algorithms to accurately identify target population and outcome. However, no algorithm for Crohn's disease (CD) has yet been validated. In this study we aim to develop an algori...

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Autores principales:	Hiromu Morikubo, Taku Kobayashi, Tomohiro Fukuda, Takayoshi Nagahama, Tadakazu Hisamatsu, Toshifumi Hibi
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/87a17f20722249819fa95f36380ec0f3
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spelling	oai:doaj.org-article:87a17f20722249819fa95f36380ec0f32021-12-02T20:19:17ZDevelopment of algorithms for identifying patients with Crohn's disease in the Japanese health insurance claims database.1932-620310.1371/journal.pone.0258537https://doaj.org/article/87a17f20722249819fa95f36380ec0f32021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0258537https://doaj.org/toc/1932-6203<h4>Background</h4>Real-world big data studies using health insurance claims databases require extraction algorithms to accurately identify target population and outcome. However, no algorithm for Crohn's disease (CD) has yet been validated. In this study we aim to develop an algorithm for identifying CD using the claims data of the insurance system.<h4>Methods</h4>A single-center retrospective study to develop a CD extraction algorithm from insurance claims data was conducted. Patients visiting the Kitasato University Kitasato Institute Hospital between January 2015-February 2019 were enrolled, and data were extracted according to inclusion criteria combining the Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) diagnosis codes with or without prescription or surgical codes. Hundred cases that met each inclusion criterion were randomly sampled and positive predictive values (PPVs) were calculated according to the diagnosis in the medical chart. Of all cases, 20% were reviewed in duplicate, and the inter-observer agreement (Kappa) was also calculated.<h4>Results</h4>From the 82,898 enrolled, 255 cases were extracted by diagnosis code alone, 197 by the combination of diagnosis and prescription codes, and 197 by the combination of diagnosis codes and prescription or surgical codes. The PPV for confirmed CD cases was 83% by diagnosis codes alone, but improved to 97% by combining with prescription codes. The inter-observer agreement was 0.9903.<h4>Conclusions</h4>Single ICD-code alone was insufficient to define CD; however, the algorithm that combined diagnosis codes with prescription codes indicated a sufficiently high PPV and will enable outcome-based research on CD using the Japanese claims database.Hiromu MorikuboTaku KobayashiTomohiro FukudaTakayoshi NagahamaTadakazu HisamatsuToshifumi HibiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0258537 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hiromu Morikubo Taku Kobayashi Tomohiro Fukuda Takayoshi Nagahama Tadakazu Hisamatsu Toshifumi Hibi Development of algorithms for identifying patients with Crohn's disease in the Japanese health insurance claims database.
description	<h4>Background</h4>Real-world big data studies using health insurance claims databases require extraction algorithms to accurately identify target population and outcome. However, no algorithm for Crohn's disease (CD) has yet been validated. In this study we aim to develop an algorithm for identifying CD using the claims data of the insurance system.<h4>Methods</h4>A single-center retrospective study to develop a CD extraction algorithm from insurance claims data was conducted. Patients visiting the Kitasato University Kitasato Institute Hospital between January 2015-February 2019 were enrolled, and data were extracted according to inclusion criteria combining the Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) diagnosis codes with or without prescription or surgical codes. Hundred cases that met each inclusion criterion were randomly sampled and positive predictive values (PPVs) were calculated according to the diagnosis in the medical chart. Of all cases, 20% were reviewed in duplicate, and the inter-observer agreement (Kappa) was also calculated.<h4>Results</h4>From the 82,898 enrolled, 255 cases were extracted by diagnosis code alone, 197 by the combination of diagnosis and prescription codes, and 197 by the combination of diagnosis codes and prescription or surgical codes. The PPV for confirmed CD cases was 83% by diagnosis codes alone, but improved to 97% by combining with prescription codes. The inter-observer agreement was 0.9903.<h4>Conclusions</h4>Single ICD-code alone was insufficient to define CD; however, the algorithm that combined diagnosis codes with prescription codes indicated a sufficiently high PPV and will enable outcome-based research on CD using the Japanese claims database.
format	article
author	Hiromu Morikubo Taku Kobayashi Tomohiro Fukuda Takayoshi Nagahama Tadakazu Hisamatsu Toshifumi Hibi
author_facet	Hiromu Morikubo Taku Kobayashi Tomohiro Fukuda Takayoshi Nagahama Tadakazu Hisamatsu Toshifumi Hibi
author_sort	Hiromu Morikubo
title	Development of algorithms for identifying patients with Crohn's disease in the Japanese health insurance claims database.
title_short	Development of algorithms for identifying patients with Crohn's disease in the Japanese health insurance claims database.
title_full	Development of algorithms for identifying patients with Crohn's disease in the Japanese health insurance claims database.
title_fullStr	Development of algorithms for identifying patients with Crohn's disease in the Japanese health insurance claims database.
title_full_unstemmed	Development of algorithms for identifying patients with Crohn's disease in the Japanese health insurance claims database.
title_sort	development of algorithms for identifying patients with crohn's disease in the japanese health insurance claims database.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/87a17f20722249819fa95f36380ec0f3
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Development of algorithms for identifying patients with Crohn's disease in the Japanese health insurance claims database.

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