Summary
Japan
The Cross Fact Health Insurance Claims Database of Japan is a longitudinal database containing employer-sponsored insurance claims. Specifically, Cross Fact has drug and diagnosis data with medical and pharmacy insurance claims for both outpatients and inpatients.
This database has data since the year 2010 on >7 million patients. It has excellent coverage including local (regional) areas of Japan (i.e., prefectures), with the additional ability to track treatment and medication(s) on a per-patient basis.
NOTE: Dental insurance claims are also included, but not organ transplant-related claims or patient comment fields.
(The Cross Fact Health Insurance Claims Database of Japan is a longitudinal database containing employer-sponsored insurance claims. Specifically, Cross Fact has drug and diagnosis data with medical and pharmacy insurance claims for both outpatients and inpatients.)
Most data are available since 2012, though some data are available starting 2010
Health insurance societies for salaried workers
(The Cross Fact Health Insurance Claims Database is updated on an ongoing basis;
This profile was developed for the B.R.I.D.G.E. TO DATA site on October 14, 2022.)
Population Dynamics
(>7 Million)
(>7 Million)
(Not applicable)
(Not applicable as data are still being collected)
Demographic Data
(Month of Birth is recorded)
< 18 years = 22%
> 65 years = 4%
Males = 48%
Females = 52%
Prefectures of Japan
Month of Birth is recorded as Year/Month, in the format of yyyymm
Patient outcomes are recorded
Information is available on insured persons or their dependents
Physician & Practioner Info
However, the data are limited
Diagnoses/Signs & Symptoms
Some physical examination data are available from some insurance companies
Information is available in case there is a congenital abnormality / birth defects
Frequency of alcohol consumption, smoking, etc. are all included in the physical examination data.
Procedures
Drug Information
Most data are available since 2012; however, some data are available since 2010.
Route of administration is recorded
[YJ code - YJ codes are part of a drug identification coding system that was developed by the Medical Information System Development Center (MEDIS-DC). It consists of 12 alphanumeric characters: the first four digits represent a drug class effect, the next three digits represent a route of administration, an alphabet represents a dosage form, followed by one digit representing a dosage, two digits representing a brand, and the last digit is a check digit to avoid misreads. The dosage form characters are as follows: A-E: powders, F-L: tablets, M-P: capsules, Q-S: liquids, and T or X: other dosage forms.]
Information on drug prices is available
Biobanks
Genetic-PGx Data
Economic Data
Billing information is available
Cost of therapy, cost of prescription, cost for medical consultation or doctor visit, etc.
Validation & Linkage
N/A
(Not applicable)
Administrative Information
Email: irw-info@intage.com
N/A
(Not applicable)
(Intage Real World, Inc.)
NOTE: The company changed its name from Japan Medical Information Research Institute Inc. (JMIRI) to INTAGE Real World, Inc. in July 2021.
JMIRI, the retail pharmacy claims database, and Medi-Scope, the health insurance claims database, managed by JMIRI have since been managed and operated under the name, Cross Fact, an integrated healthcare database.
(Not applicable)
N/A
(Not applicable)
Data are accessible by companies that have a Japanese branch. These include pharmaceutical companies, academia, and research institutions. For more information re: datasets, please email irw-info@intage.com, and a sales representative will contact you.
For cost information, please contact Intage via email at irw-info@intage.com
Aggregated reports (excel, ppt, etc.)
BI (Business Intelligence) software/tool - MotionBoard]
1. Machida T, Obara T, Miyazaki M, Inoue J, Mano N. Trends in drug prescriptions for type 2 diabetes, hypertension, and dyslipidemia among adults with non-alcoholic fatty liver disease. Ann Hepatol. 2022;27(4):100699.
2. Hozawa S, Maeda S, Kikuchi A, Koinuma M. Exploratory research on asthma exacerbation risk factors using the Japanese claims database and machine learning: a retrospective cohort study. J Asthma. 2022;59(7):1328-1337.
3. Maeda S, Kobayashi S, Takahashi K, Miyata S. Association of comorbidities and medications with risk of asthma exacerbation in pediatric patients: a retrospective study using Japanese claims data. Sci Rep. 2022;12(1):5509.
4. Yokoyama A, Okazaki H, Makita N, Fukui A, Piao Y, Arita Y, Itoh Y, Tashiro N. Regional differences in the incidence of asthma exacerbations in Japan: A heat map analysis of healthcare insurance claims data. Allergol Int. 2022;71(1):47-54.
5. Kubota K, Kelly T, Sato T, Pratt N, Roughead E, Yamaguchi T. A novel weighting method to remove bias from within-subject exposure dependency in case-crossover studies. BMC Med Res Methodol. 2021;21(1):214.
Database Contact
Email: irw-info@intage.com
N/A
Literature References
1. Machida T, Obara T, Miyazaki M, Inoue J, Mano N. Trends in drug prescriptions for type 2 diabetes, hypertension, and dyslipidemia among adults with non-alcoholic fatty liver disease. Ann Hepatol. 2022;27(4):100699.
2. Hozawa S, Maeda S, Kikuchi A, Koinuma M. Exploratory research on asthma exacerbation risk factors using the Japanese claims database and machine learning: a retrospective cohort study. J Asthma. 2022;59(7):1328-1337.
3. Maeda S, Kobayashi S, Takahashi K, Miyata S. Association of comorbidities and medications with risk of asthma exacerbation in pediatric patients: a retrospective study using Japanese claims data. Sci Rep. 2022;12(1):5509.
4. Yokoyama A, Okazaki H, Makita N, Fukui A, Piao Y, Arita Y, Itoh Y, Tashiro N. Regional differences in the incidence of asthma exacerbations in Japan: A heat map analysis of healthcare insurance claims data. Allergol Int. 2022;71(1):47-54.
5. Kubota K, Kelly T, Sato T, Pratt N, Roughead E, Yamaguchi T. A novel weighting method to remove bias from within-subject exposure dependency in case-crossover studies. BMC Med Res Methodol. 2021;21(1):214.