大規模レセプトデータベースを用いた臨床研究

Yoh Takekuma, Shungo Imai, Mitsuru Sugawara

研究成果: Article査読

1 被引用数 (Scopus)

抄録

The JMDC Claims Database®contains completely anonymized receipt information on the insured members of health insurance associations. The number of registered users is approximately 9.6 million (6% of the population) as of May 2020. In this database, it is possible to track even outpatient treatment, even if the patient changes the medical facility, as long as the insurer of the subscriber's health insurance does not change, so that long-term medical treatment could be targeted as a research theme. However, as the data do not contain medical record information, it is not possible to obtain laboratory values, although it is possible to know whether clinical tests have been performed. For pharmaceutics-related research, the most suitable use of the receipt database like JMDC Claims Database®seems to be the investigation of actual prescriptions. However, the research topics that pharmacists are interested in are probably comparisons of drug eŠects, drug-drug interactions, or causal analysis of drugs and side eŠects. However, laboratory data for evaluating drug efficacy is not available in the receipt database, and the accuracy of the disease name in the database becomes problematic when using the disease name as information indicating the occurrence of side eŠects. In this review, we introduce our studies performed by using JMDC Claims Database®and how to manage the above-described problems. We hope that this study will be helpful to those who are going to engage in research using medical big data.

寄稿の翻訳タイトルClinical Research Using the Large Health Insurance Claims Database
本文言語Japanese
ページ(範囲)331-336
ページ数6
ジャーナルYakugaku Zasshi
142
4
DOI
出版ステータスPublished - 2022
外部発表はい

Keywords

  • big data
  • clams database
  • pharmacoepidemiology

ASJC Scopus subject areas

  • 薬理学
  • 薬科学

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