Evidence map›Paper›PMID 37560376›Full record

ArticleJMA journal2023

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

Maiko Suto, Takehiro Sugiyama, Kenjiro Imai, Takashi Furuno, Mariko Hosozawa, Yuichi Ichinose, Noriko Ihana-Sugiyama, Tomoko Kodama, Ryuji Koizumi, Yuko Shimizu-Motohashi and 11 more

Abstract readScoping Review
In one paragraph

Article in JMA journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Incidental detection of cancers during population-based endoscopic gastric cancer screening in Japan.Esophagus : official journal of the Japan Esophageal Society · 2026
    Article
  3. Material Use for Air Leakage Prevention Post-Lung Resection: Insights from Real-World Data in Japan.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2026
    Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Maiko SutoDepartment of Health Policy, National Center for Child Health and Development, Tokyo, Japan.
Takehiro SugiyamaInstitute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan.
Kenjiro ImaiDiabetes and Metabolism Information Center, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
Takashi FurunoInstitute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan.
Mariko HosozawaInstitute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan.
Yuichi IchinoseDivision of Health Services Research, Institute for Cancer Control, National Cancer Center, Tokyo, Japan.
Noriko Ihana-SugiyamaDiabetes and Metabolism Information Center, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
Tomoko KodamaDepartment of Public Health Policy, National Institute of Public Health, Saitama, Japan.
Ryuji KoizumiAMR Clinical Reference Center, Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Yuko Shimizu-MotohashiDepartment of Child Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
Shunsuke MurataDepartment of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Osaka, Japan.
Yayoi NakamuraAIDS Clinical Center, National Center for Global Health and Medicine, Tokyo, Japan.
Mariko NiinoDivision of Health Services Research, Institute for Cancer Control, National Cancer Center, Tokyo, Japan.
Misuzu SatoDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.
Reina TaguchiDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan.
Misa TakegamiDepartment of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Osaka, Japan.
Motoko TanakaDepartment of Health Policy, National Center for Child Health and Development, Tokyo, Japan.
Kota TsutsumimotoDepartment of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Aichi, Japan.
Kentaro UsudaDepartment of Public Mental Health Research, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.
Kenji TakeharaDepartment of Health Policy, National Center for Child Health and Development, Tokyo, Japan.
Hiroyasu IsoInstitute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

healthcare policyhealth insurance claimsJapanscoping reviewvalidation studies

Identifiers

PMID37560376
PMCPMC10407298

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.