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Studies of Health Insurance Claims Data in Japan: A Scoping Review

BACKGROUND: Health insurance claims data are used in various research fields; however, an overview on how they are used in healthcare research is scarce in Japan. Therefore, we conducted a scoping review to systematically map the relevant studies using Japanese claims data. METHODS: MEDLINE, EMBASE,...

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Autores principales: Suto, Maiko, Sugiyama, Takehiro, Imai, Kenjiro, Furuno, Takashi, Hosozawa, Mariko, Ichinose, Yuichi, Ihana-Sugiyama, Noriko, Kodama, Tomoko, Koizumi, Ryuji, Shimizu-Motohashi, Yuko, Murata, Shunsuke, Nakamura, Yayoi, Niino, Mariko, Sato, Misuzu, Taguchi, Reina, Takegami, Misa, Tanaka, Motoko, Tsutsumimoto, Kota, Usuda, Kentaro, Takehara, Kenji, Iso, Hiroyasu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japan Medical Association 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10407298/
https://www.ncbi.nlm.nih.gov/pubmed/37560376
http://dx.doi.org/10.31662/jmaj.2022-0184
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author Suto, Maiko
Sugiyama, Takehiro
Imai, Kenjiro
Furuno, Takashi
Hosozawa, Mariko
Ichinose, Yuichi
Ihana-Sugiyama, Noriko
Kodama, Tomoko
Koizumi, Ryuji
Shimizu-Motohashi, Yuko
Murata, Shunsuke
Nakamura, Yayoi
Niino, Mariko
Sato, Misuzu
Taguchi, Reina
Takegami, Misa
Tanaka, Motoko
Tsutsumimoto, Kota
Usuda, Kentaro
Takehara, Kenji
Iso, Hiroyasu
author_facet Suto, Maiko
Sugiyama, Takehiro
Imai, Kenjiro
Furuno, Takashi
Hosozawa, Mariko
Ichinose, Yuichi
Ihana-Sugiyama, Noriko
Kodama, Tomoko
Koizumi, Ryuji
Shimizu-Motohashi, Yuko
Murata, Shunsuke
Nakamura, Yayoi
Niino, Mariko
Sato, Misuzu
Taguchi, Reina
Takegami, Misa
Tanaka, Motoko
Tsutsumimoto, Kota
Usuda, Kentaro
Takehara, Kenji
Iso, Hiroyasu
author_sort Suto, Maiko
collection PubMed
description BACKGROUND: Health insurance claims data are used in various research fields; however, an overview on how they are used in healthcare research is scarce in Japan. Therefore, we conducted a scoping review to systematically map the relevant studies using Japanese claims data. METHODS: MEDLINE, EMBASE, and Ichushi-Web were searched up to April 2021 for studies using Japanese healthcare claims data. We abstracted the data on study characteristics and summarized target diseases and research themes by the types of claims database. Moreover, we described the results of studies that aimed to compare health insurance claims data with other data sources narratively. RESULTS: A total of 1,493 studies were included. Overall, the most common disease classifications were “Diseases of the circulatory system” (18.8%, n = 281), “Endocrine, nutritional, and metabolic diseases” (11.5%, n = 171; mostly diabetes), and “Neoplasms” (10.9%, n = 162), and the most common research themes were “medical treatment status” (30.0%, n = 448), “intervention effect” (29.9%, n = 447), and “clinical epidemiology, course of diseases” (27.9%, n = 417). Frequent diseases and themes varied by type of claims databases. A total of 19 studies aimed to assess the validity of the claims-based definition, and 21 aimed to compare the results of claims data with other data sources. Most studies that assessed the validity of claims data compared to medical records were hospital-based, with a small number of institutions. CONCLUSIONS: Claims data are used in various research areas and will increasingly provide important evidence for healthcare policy in Japan. It is important to use previous claims database studies and share information on methodology among researchers, including validation studies, while informing policymakers about the applicability of claims data for healthcare planning and management.
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spelling pubmed-104072982023-08-09 Studies of Health Insurance Claims Data in Japan: A Scoping Review Suto, Maiko Sugiyama, Takehiro Imai, Kenjiro Furuno, Takashi Hosozawa, Mariko Ichinose, Yuichi Ihana-Sugiyama, Noriko Kodama, Tomoko Koizumi, Ryuji Shimizu-Motohashi, Yuko Murata, Shunsuke Nakamura, Yayoi Niino, Mariko Sato, Misuzu Taguchi, Reina Takegami, Misa Tanaka, Motoko Tsutsumimoto, Kota Usuda, Kentaro Takehara, Kenji Iso, Hiroyasu JMA J Review Article BACKGROUND: Health insurance claims data are used in various research fields; however, an overview on how they are used in healthcare research is scarce in Japan. Therefore, we conducted a scoping review to systematically map the relevant studies using Japanese claims data. METHODS: MEDLINE, EMBASE, and Ichushi-Web were searched up to April 2021 for studies using Japanese healthcare claims data. We abstracted the data on study characteristics and summarized target diseases and research themes by the types of claims database. Moreover, we described the results of studies that aimed to compare health insurance claims data with other data sources narratively. RESULTS: A total of 1,493 studies were included. Overall, the most common disease classifications were “Diseases of the circulatory system” (18.8%, n = 281), “Endocrine, nutritional, and metabolic diseases” (11.5%, n = 171; mostly diabetes), and “Neoplasms” (10.9%, n = 162), and the most common research themes were “medical treatment status” (30.0%, n = 448), “intervention effect” (29.9%, n = 447), and “clinical epidemiology, course of diseases” (27.9%, n = 417). Frequent diseases and themes varied by type of claims databases. A total of 19 studies aimed to assess the validity of the claims-based definition, and 21 aimed to compare the results of claims data with other data sources. Most studies that assessed the validity of claims data compared to medical records were hospital-based, with a small number of institutions. CONCLUSIONS: Claims data are used in various research areas and will increasingly provide important evidence for healthcare policy in Japan. It is important to use previous claims database studies and share information on methodology among researchers, including validation studies, while informing policymakers about the applicability of claims data for healthcare planning and management. Japan Medical Association 2023-06-19 2023-07-14 /pmc/articles/PMC10407298/ /pubmed/37560376 http://dx.doi.org/10.31662/jmaj.2022-0184 Text en Copyright © Japan Medical Association https://creativecommons.org/licenses/by/4.0/JMA Journal is an Open Access journal distributed under the Creative Commons Attribution 4.0 International License. To view the details of this license, please visit (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review Article
Suto, Maiko
Sugiyama, Takehiro
Imai, Kenjiro
Furuno, Takashi
Hosozawa, Mariko
Ichinose, Yuichi
Ihana-Sugiyama, Noriko
Kodama, Tomoko
Koizumi, Ryuji
Shimizu-Motohashi, Yuko
Murata, Shunsuke
Nakamura, Yayoi
Niino, Mariko
Sato, Misuzu
Taguchi, Reina
Takegami, Misa
Tanaka, Motoko
Tsutsumimoto, Kota
Usuda, Kentaro
Takehara, Kenji
Iso, Hiroyasu
Studies of Health Insurance Claims Data in Japan: A Scoping Review
title Studies of Health Insurance Claims Data in Japan: A Scoping Review
title_full Studies of Health Insurance Claims Data in Japan: A Scoping Review
title_fullStr Studies of Health Insurance Claims Data in Japan: A Scoping Review
title_full_unstemmed Studies of Health Insurance Claims Data in Japan: A Scoping Review
title_short Studies of Health Insurance Claims Data in Japan: A Scoping Review
title_sort studies of health insurance claims data in japan: a scoping review
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10407298/
https://www.ncbi.nlm.nih.gov/pubmed/37560376
http://dx.doi.org/10.31662/jmaj.2022-0184
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