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2621-2628, 2021.

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（特に重要な文献については，番号をゴシック体で表記している．

108

Database Research for Stroke

Ryu MATSUO

Department of Health Care Administration and Management,

Graduate School of Medical Sciences, Kyushu University

Abstract

Database research for stroke have contributed to the development of evidence and the establishment of guidelines for stroke management. In Japan, the Fukuoka stroke registry, a regional cohort̶

which provides highly accurate data̶and the Japan stroke data bank̶which includes nationwide

comprehensive data̶have been collected through individual questionnaires (as revealed by a

conventional epidemiological study). Recently, studies using existing data, such as insurance claims

data, have become popular (as revealed by a data-driven epidemiological study). The nationwide

survey of acute stroke care capacity for proper designation of comprehensive stroke center in Japan

(J-ASPECT study) is assessing the quality of stroke care to close the gap between guidelines and

clinical practice using data from the Diagnosis Procedure Combination, developed as a measurement

tool to standardize, evaluate, and improve the quality of healthcare in Japan and to clarify the content

of acute-phase hospital care. The National Database of Health Insurance Claims and Specific Health

Checkups is the largest database globally that facilitates the visualization of stroke care in Japan.

Large-scale real-world databases̶such as the Registry of the Canadian Stroke Network and

Riks-Stroke̶have been constructed worldwide. In both cases, data are collected without obtaining

consent and are linked to existing data, such as administrative data. However, the environment for

database research has not been sufficiently developed from the perspective of personal information

protection and research ethics in Japan. In this era of medical big data, extensive medical information is

automatically recorded electronically. Medical DX (digital transformation) aims to enable the

appropriate use of such medical information and linking it with existing data̶such as insurance claims

data and administrative data. A large database research utilizing electronic information can change

the future of stroke care.

Key words : Cohort, Database research, Epidemiology, Registry, Stroke

著者プロフィール

松尾 龍（まつお りゅう）

九州大学教授（大学院医学研究院医療経営・管理学）．医学博士．

◆略歴 1972 年福岡市に生まれる．1998 年九州大学医学部卒業，2005 年九州大学大学院医学系学

府単位取得退学，2013 年九州大学病院臨床教育研究センター助教，2014 年九州大学大学院

医学研究院医療経営・管理学助教，2020 年同准教授，2023 年 4 月より現職．

◆研究テーマと抱負 脳卒中の臨床と研究の経験を生かし，医療データベース研究に取り組んでい

ます．医療データを適切に用いることで医療を可視化し，PDCA サイクルを回すことで医

療の改善と発展につながるような研究を行い，患者さんや社会に還元することをめざして

います．

◆趣味 名所旧跡探訪

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