Research to optimize medical treatment for psychiatric disorders using NDB open data Japan

2020 Fiscal Year Final Research Report

• Project/Area Number: 19K19379
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 58010:Medical management and medical sociology-related
• Research Institution: Chiba University
• Principal Investigator: Yoshimura Kensuke 千葉大学, 医学部附属病院, 特任教授 (60801735)
• Project Period (FY): 2019-04-01 – 2021-03-31
• Keywords: レセプト情報 / 向精神薬の使用実態 / 抗うつ薬 / 抗精神病薬 / 性差医療

Outline of Final Research Achievements

During the two-year research period, four scientific papers (three in English and one in Japanese) were submitted and accepted. In addition, a review article, "Prescription analysis of psychotropic drugs using NDB open data," was published in the Journal of Clinical Medicine. In addition, I made a total of seven academic presentations at academic conferences, mainly in the field of psychiatry.
The drugs analyzed included antidepressants, antipsychotics (tablets and extended-release intramuscular drugs), antiepileptic drugs, mood stabilizers, sleeping pills, and anti-dementia drugs. The results of these studies are consistent with the research objective of "maximizing the use of NDB open data to visualize the actual status of medical practice and drug use in major neuropsychiatric disorders, and to analyze changes over time.

Free Research Field

医療レセプトデータ分析

Academic Significance and Societal Importance of the Research Achievements

本研究の期待される成果である「NDBオープンデータの分析手法が確立し、医療ビッグデータ研究推進に有意義な知見が提供できる」ことは達成でき、NDBの分析手法の確立に寄与した。
これは精神神経領域のみならず他の診療科にも波及しており、具体的には皮膚科学や整形外科学の研究者との共同を行い論文として発表してきている。
NDBオープンデータの分析手法については、国内を中心に一定の知見を提供できたと実感しており、本領域がさらに開花してゆくことの一助となれたら大変な喜びである。