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電子書籍・電子雑誌JMA Journal
巻号6 (3)
Studies of...

Studies of health insurance claims data in Japan : a scoping review

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Studies of health insurance claims data in Japan : a scoping review

国立国会図書館永続的識別子
info:ndljp/pid/14495015
資料種別
記事
著者
Maiko Sutoほか
出版者
Japan Medical Association
出版年
2023-07-14
資料形態
デジタル
掲載誌名
JMA Journal 6(3)
掲載ページ
-
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要約等:

<p><b>Background:</b> Health insurance claims data are used in various research fields; however, an overview on how they are used in healthcare resear...

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デジタル

資料種別
記事
著者・編者
Maiko Suto
Takehiro Sugiyama
Kenjiro Imai
Takashi Furuno
Mariko Hosozawa
Yuichi Ichinose
Noriko Ihana-Sugiyama
Tomoko Kodama
Ryuji Koizumi
Yuko Shimizu-Motohashi
Shunsuke Murata
Yayoi Nakamura1
Mariko Niino
Misuzu Sato
Reina Taguchi
Misa Takegami
Motoko Tanaka
Kota Tsutsumimoto
Kentaro Usuda
Kenji Takehara
Hiroyasu Iso
出版年月日等
2023-07-14
出版年(W3CDTF)
2023-07-14
タイトル(掲載誌)
JMA Journal
巻号年月日等(掲載誌)
6(3)
掲載巻
6(3)
ISSN(掲載誌)
2433-3298
ISSN-L(掲載誌)
2433-328X
本文の言語コード
eng
国立国会図書館永続的識別子
info:ndljp/pid/14495015
コレクション(共通)
コレクション(障害者向け資料:レベル1)
コレクション(個別)
国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
収集根拠
インターネット資料収集保存事業(WARP)
受理日(W3CDTF)
2025-10-21T09:04:40+09:00
保存日(W3CDTF)
2024-09-26
記録形式(IMT)
application/pdf
オンライン閲覧公開範囲
インターネット公開
遠隔複写可否(NDL)
不可
掲載誌(国立国会図書館永続的識別子)
info:ndljp/pid/14495014
連携機関・データベース
国立国会図書館 : 国立国会図書館デジタルコレクション

デジタル

要約等
<p><b>Background:</b> 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.</p><p><b>Methods:</b> 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.</p><p><b>Results:</b> 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.</p><p><b>Conclusions:</b> 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.</p>
DOI
10.31662/jmaj.2022-0184
オンライン閲覧公開範囲
インターネット公開
連携機関・データベース
科学技術振興機構 : J-STAGE

デジタル

要約等
<p><b>Background:</b> 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.</p><p><b>Methods:</b> 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.</p><p><b>Results:</b> 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.</p><p><b>Conclusions:</b> 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.</p>
オンライン閲覧公開範囲
インターネット公開
参照
Maternal age and the rising incidence of hypertensive disorders of pregnancy: A comprehensive analysis of national claims data from Japan
Prevalence of systemic lupus erythematosus and age-stratified treatment trends in the Japanese population: A cross-sectional study based on the National Database of Health Insurance Claims
Changes in the Utilization of Outpatient and Visiting Dental Care and Per-attendance Care Cost by Age Groups During COVID-19 Pandemic Waves in Japan: A Time-series Analysis From the LIFE Study
Sex Differences in Post-Noncardiac Surgery Risks Assessed Using the Revised Cardiac Risk Index ― A Nationwide Retrospective Cohort Study ―
連携機関・データベース
国立情報学研究所 : CiNii Research
書誌ID(NDLBibID)
14495015