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Table 3 Japanese large-scale integrated databases and their characteristics

From: Characterization and selection of Japanese electronic health record databases used as data sources for non-interventional observational studies

 

JMDC Claima

MDV Databaseb

NDB Japanc

MID-NETd

Points to consider when selecting a large-scale database

Characteristics of the database

Information regarding health insurance claims and DPC collected from institutions through standardized procedures since 2005

Claims information, DPC information, and laboratory data collected from institutions through standardized procedures since 2008

Claim information on medical treatment, dental treatment, medications, and DPC

Constructed in 2009

Data of subjects over 65-year-olds are available

Dataset service has been offered since 2011

Medical records, health insurance claims, and DPC information

Data from 23 medical sites collected and verified

Dataset service has been offered since 2018

The database should be established through data-processing procedures that are satisfactorily explained and reproducible. Data for intended follow-up period is important

Data volume

5.6 million subjects

(as of June 2018)

2.8 million subjects

(as of May 2019)

All Japanese citizens (not clearly described)

4 million subjects

(as of November 2018)

Having sufficient data to support an appropriate sample size is crucial

Available data

Information regarding health insurance, claims, DPC; medical products’ information coding; diagnosis; number of patients; complications; surgery; medication information; and events

Data from healthy subjects are available

Data are updated monthly according to pre-defined processes

Information on claims and DPC and laboratory data are available

Data updated monthly according to pre-defined processes

Claim information on medical treatment, dental treatment, medications, and DPC

Use of NDB Japan is permitted for evaluated researchers only

NDB Open Data Japan, partial dataset, is freely available

Demographic data; hospital visits/admissions; disease and injury diagnoses; medical treatment, laboratory data, results of physiologic tests; pharmacologic data; and medications

Information related to patients and exposures, such as diagnosis, medications, and surgery, should be available

Number of published articles

304 articles published

(as of December 2020)

213 articles published

(as of December 2020)

78 articles publishede

(as of October 2020)

11 articles published

(as of April 2020)

 

Anonymization?

Anonymized

Anonymized

Subjects’ personal information is not available. Anonymization is up to the individual researcher

Anonymized

Appropriate anonymization of data is important to adhere to ethics and quality standards

  1. JMDC Japan Medical Data Center, MDV Medical Data Vision, NDB Japan National Database of Health Insurance Claims and Specific Health Checkups of Japan, MID-NET Medical Information Database Network, DPC Diagnosis Procedure Combination/Per-Diem Payment System (Japanese medical payment framework)
  2. aJMDC Claim is provided by Japan Medical Data Center, Inc. [17]
  3. bMDV Database is provided by Medical Data Vision Co., Ltd. [18]
  4. cNDB Japan is provided by the Ministry of Health, Labour and Welfare of Japan [19], which also provides NDB Open Data Japan [20]
  5. dMID-NET is sponsored by the Pharmaceuticals and Medical Devices Agency of Japan [21]
  6. eThe article list of NDB Japan shows 119 items including technical reports and congress abstracts for oral or poster sessions as well as published articles
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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