Literature review of studies using the National Database of the Health Insurance Claims of Japan (NDB) : limitations and strategies in using the NDB for research
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DOI[10.31662/jmaj.2023-0078]のデータに遷移します
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- 資料種別
- 記事
- 著者・編者
- Maiko SutoArisa IbaTakehiro SugiyamaTomoko KodamaMisa TakegamiReina TaguchiMariko NiinoRyuji KoizumiKimikazu KashiwagiKenjiro ImaiNoriko Ihana-SugiyamaYuichi IchinoseKenji TakeharaHiroyasu Iso
- 出版年月日等
- 2024-01-15
- 出版年(W3CDTF)
- 2024-01-15
- タイトル(掲載誌)
- JMA Journal
- 巻号年月日等(掲載誌)
- 7(1)
- 掲載巻
- 7(1)
- ISSN(掲載誌)
- 2433-3298
- ISSN-L(掲載誌)
- 2433-328X
- 本文の言語コード
- eng
- DOI
- 10.31662/jmaj.2023-0078
- 国立国会図書館永続的識別子
- info:ndljp/pid/14495081
- 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/14495078
- 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
- 要約等
- <p>The use of the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) for research has increased over time. Researchers need to understand the characteristics of the data to generate quality-assured evidence from the NDB. In this review, we mapped and characterized the limitations and related strategies using the NDB for research based on the descriptions of published NDB studies. To find studies that used Japanese healthcare claims data, we searched MEDLINE, EMBASE, and Ichushi-Web up to June 2023. Additionally, we hand-searched the NDB data publication list from the Ministry of Health, Labour and Welfare (2017-2023). We abstracted data based on the NDB data type, research themes, age of the study sample or population, targeted disease, and the limitations and strategies in the NDB studies. Ultimately, 267 studies were included. Overall, the most common research theme was describing and estimating the prescriptions and treatment patterns (125 studies, 46.8%). There was a variation in the frequency of themes according to the type of NDB data. We identified the following categories of limitations: (1) lack of information on confounders/covariates, outcomes, and other clinical content, (2) limitations regarding patients not included in the NDB, (3) misclassification of data, (4) lack of unique identifiers and register of beneficiaries, and (5) others. Although the included studies noted several limitations of using the NDB for research, they also provided some strategies to address them. Organizing the limitations of NDB in research and the related strategies across research fields can help support high-quality NDB studies.</p>
- DOI
- 10.31662/jmaj.2023-0078
- 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
- 要約等
- <p>The use of the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) for research has increased over time. Researchers need to understand the characteristics of the data to generate quality-assured evidence from the NDB. In this review, we mapped and characterized the limitations and related strategies using the NDB for research based on the descriptions of published NDB studies. To find studies that used Japanese healthcare claims data, we searched MEDLINE, EMBASE, and Ichushi-Web up to June 2023. Additionally, we hand-searched the NDB data publication list from the Ministry of Health, Labour and Welfare (2017-2023). We abstracted data based on the NDB data type, research themes, age of the study sample or population, targeted disease, and the limitations and strategies in the NDB studies. Ultimately, 267 studies were included. Overall, the most common research theme was describing and estimating the prescriptions and treatment patterns (125 studies, 46.8%). There was a variation in the frequency of themes according to the type of NDB data. We identified the following categories of limitations: (1) lack of information on confounders/covariates, outcomes, and other clinical content, (2) limitations regarding patients not included in the NDB, (3) misclassification of data, (4) lack of unique identifiers and register of beneficiaries, and (5) others. Although the included studies noted several limitations of using the NDB for research, they also provided some strategies to address them. Organizing the limitations of NDB in research and the related strategies across research fields can help support high-quality NDB studies.</p>
- DOI
- 10.31662/jmaj.2023-0078
- オンライン閲覧公開範囲
- インターネット公開
- 関連情報(URI)
- 参照
- Impact of new antifungal medications on onychomycosis prescriptions and costs in Japan: A nationwide claims database studyPrevalence 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 ClaimsTrends and Regional Differences in Usage of Primary External Fixation From 2018 to 2022 in Japan: A Retrospective Observational Study Using Open Data from the National Database of Health Insurance ClaimsTrends in the Use of a Financial Incentive for Device-assisted Rehabilitation in Japan: A Descriptive Analysis Using National Health Insurance DataA new electronic medical record database linked to claims data and discharge abstract data (the RWD database) in Japan: Study design and profileAnalysis of recent changes in treatment options for patients with hepatocellular carcinoma using data from a highly comprehensive Japanese national database: Impact of advances in systemic therapy and minimally invasive surgeryEvaluation of the geographic distribution of patients with hepatocellular carcinoma and treatments in Japan using data from the Japanese national databaseDifference in Strategy and Clinical Outcomes of Left Main Disease in Japan and Non-Japanese Countries
- 連携機関・データベース
- 国立情報学研究所 : CiNii Research
- 提供元機関・データベース
- Japan Link Center雑誌記事索引データベースCrossrefCrossrefCrossrefCrossrefCrossrefCrossrefCrossrefCrossrefCrossref
- 書誌ID(NDLBibID)
- 14495081