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Validation study on definition of cause of death in Japanese claims data

Identifying the cause of death is important for the study of end-of-life patients using claims data in Japan. However, the validity of how cause of death is identified using claims data remains unknown. Therefore, this study aimed to verify the validity of the method used to identify the cause of de...

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Autores principales: Ito, Fumiya, Togashi, Shintaro, Sato, Yuri, Masukawa, Kento, Sato, Kazuki, Nakayama, Masaharu, Fujimori, Kenji, Miyashita, Mitsunori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035912/
https://www.ncbi.nlm.nih.gov/pubmed/36952484
http://dx.doi.org/10.1371/journal.pone.0283209
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author Ito, Fumiya
Togashi, Shintaro
Sato, Yuri
Masukawa, Kento
Sato, Kazuki
Nakayama, Masaharu
Fujimori, Kenji
Miyashita, Mitsunori
author_facet Ito, Fumiya
Togashi, Shintaro
Sato, Yuri
Masukawa, Kento
Sato, Kazuki
Nakayama, Masaharu
Fujimori, Kenji
Miyashita, Mitsunori
author_sort Ito, Fumiya
collection PubMed
description Identifying the cause of death is important for the study of end-of-life patients using claims data in Japan. However, the validity of how cause of death is identified using claims data remains unknown. Therefore, this study aimed to verify the validity of the method used to identify the cause of death based on Japanese claims data. Our study population included patients who died at two institutions between January 1, 2018 and December 31, 2019. Claims data consisted of medical data and Diagnosis Procedure Combination (DPC) data, and five definitions developed from disease classification in each dataset were compared with death certificates. Nine causes of death, including cancer, were included in the study. The definition with the highest positive predictive values (PPVs) and sensitivities in this study was the combination of “main disease” in both medical and DPC data. For cancer, these definitions had PPVs and sensitivities of > 90%. For heart disease, these definitions had PPVs of > 50% and sensitivities of > 70%. For cerebrovascular disease, these definitions had PPVs of > 80% and sensitivities of> 70%. For other causes of death, PPVs and sensitivities were < 50% for most definitions. Based on these results, we recommend definitions with a combination of “main disease” in both medical and DPC data for cancer and cerebrovascular disease. However, a clear argument cannot be made for other causes of death because of the small sample size. Therefore, the results of this study can be used with confidence for cancer and cerebrovascular disease but should be used with caution for other causes of death.
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spelling pubmed-100359122023-03-24 Validation study on definition of cause of death in Japanese claims data Ito, Fumiya Togashi, Shintaro Sato, Yuri Masukawa, Kento Sato, Kazuki Nakayama, Masaharu Fujimori, Kenji Miyashita, Mitsunori PLoS One Research Article Identifying the cause of death is important for the study of end-of-life patients using claims data in Japan. However, the validity of how cause of death is identified using claims data remains unknown. Therefore, this study aimed to verify the validity of the method used to identify the cause of death based on Japanese claims data. Our study population included patients who died at two institutions between January 1, 2018 and December 31, 2019. Claims data consisted of medical data and Diagnosis Procedure Combination (DPC) data, and five definitions developed from disease classification in each dataset were compared with death certificates. Nine causes of death, including cancer, were included in the study. The definition with the highest positive predictive values (PPVs) and sensitivities in this study was the combination of “main disease” in both medical and DPC data. For cancer, these definitions had PPVs and sensitivities of > 90%. For heart disease, these definitions had PPVs of > 50% and sensitivities of > 70%. For cerebrovascular disease, these definitions had PPVs of > 80% and sensitivities of> 70%. For other causes of death, PPVs and sensitivities were < 50% for most definitions. Based on these results, we recommend definitions with a combination of “main disease” in both medical and DPC data for cancer and cerebrovascular disease. However, a clear argument cannot be made for other causes of death because of the small sample size. Therefore, the results of this study can be used with confidence for cancer and cerebrovascular disease but should be used with caution for other causes of death. Public Library of Science 2023-03-23 /pmc/articles/PMC10035912/ /pubmed/36952484 http://dx.doi.org/10.1371/journal.pone.0283209 Text en © 2023 Ito et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ito, Fumiya
Togashi, Shintaro
Sato, Yuri
Masukawa, Kento
Sato, Kazuki
Nakayama, Masaharu
Fujimori, Kenji
Miyashita, Mitsunori
Validation study on definition of cause of death in Japanese claims data
title Validation study on definition of cause of death in Japanese claims data
title_full Validation study on definition of cause of death in Japanese claims data
title_fullStr Validation study on definition of cause of death in Japanese claims data
title_full_unstemmed Validation study on definition of cause of death in Japanese claims data
title_short Validation study on definition of cause of death in Japanese claims data
title_sort validation study on definition of cause of death in japanese claims data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035912/
https://www.ncbi.nlm.nih.gov/pubmed/36952484
http://dx.doi.org/10.1371/journal.pone.0283209
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