Evaluation of effectiveness and quality of medical services using an integrated database of DPC and laboratory data

2022 Fiscal Year Final Research Report

• Project/Area Number: 20H03907
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Basic Section 58010:Medical management and medical sociology-related
• Research Institution: The University of Tokyo
• Principal Investigator: Yasunaga Hideo 東京大学, 大学院医学系研究科(医学部), 教授 (90361485)
• Co-Investigator(Kenkyū-buntansha): 堀口 裕正 独立行政法人国立病院機構本部(総合研究センター), 診療情報分析部, 副部長 (50401104)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: リアルワールドデータ

Outline of Final Research Achievements

The DPC data consists of administrative claims data and Form 1, and includes data on approximately 7 million hospitalized patients per year from more than 1,000 facilities. The administrative claims data includes patient profiles and detailed data on drugs, procedures, and treatments. Studies using similar administrative claims data have already been conducted in Japan and overseas. However, administrative claims data alone has limitations in terms of data content and accuracy. Therefore, in this study, laboratory value data were linked to the DPC data at about 40 facilities, and the data were collected and analyzed after anonymous processing. By doing so, the study was conducted to answer research questions that cannot be addressed by administrative claims data alone.

Free Research Field

臨床疫学

Academic Significance and Societal Importance of the Research Achievements

DPCデータを用いた研究はすでに多数出版されている。しかしDPCデータだけではデータの内容や精度に限界がある。DPCデータに検査値データを連結させることにより、DPCデータだけでは対応できないリサーチ・クエスチョンにも答える研究が可能であり、研究の幅を広げることができる。