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Visualization of Causal Relationships and Simulation of Medical Expensesof Diabetes Lifestyle Improvement Factors from NDB

Research Project

Project/Area Number 18K09934
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 58010:Medical management and medical sociology-related
Research InstitutionHokkaido University

Principal Investigator

Ogasawara Katsuhiko  北海道大学, 保健科学研究院, 教授 (90322859)

Project Period (FY) 2018-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2020: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2019: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2018: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Keywords糖尿病 / 国保レセプト / ベイジアンネットワーク / マルコフモデル / 医療費分析 / 医療費シミュレーション / NDB
Outline of Final Research Achievements

In recent years, national health care costs have been on the rise. In particular, type 2 diabetes, which is closely related to lifestyle-related diseases, is likely to induce complications. Therefore, it is expected that affected patients will experience high medical costs. Therefore, the objectives of this study are 2 points: (1) To provide effective support for lifestyle modification for diabetic patients in the community. (2) To propose an indicator of the effectiveness of such support. Factors influencing the "intention to improve lifestyle" of diabetic patients and characteristics of regional characteristics were visualized by Bayesian network visualization, and the effect of behavioral change expected by lifestyle improvement was examined. Furthermore, we attempted to conduct a cost-effectiveness analysis using a Markov model with blood glucose control self-management remote appropriation in diabetes mellitus.

Academic Significance and Societal Importance of the Research Achievements

特定健診データ項目等を用いて地域別ベイジアンネットワークモデルを構築した。「生活習慣の改善意思」に対して、30 分以上の運動習慣とBMI が直接的な影響を与えており、地方部のモデルでは30 分以上の運動習慣と20 歳からの体重変化、性別、飲酒習慣が直接的な影響を与えていることが示された。また,生活習慣の改善によって都市部と地方部共に、1 年間の体重に対して最も影響を与える可能性が示唆された。今後、モデルの妥当性評価を行うことによって、地域性を考慮した健康増進施策の立案および実施への応用が期待できると考えられる。

Report

(5 results)
  • 2021 Annual Research Report   Final Research Report ( PDF )
  • 2020 Research-status Report
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (8 results)

All 2020 2019 2018

All Journal Article (3 results) (of which Peer Reviewed: 3 results,  Open Access: 2 results) Presentation (5 results)

  • [Journal Article] Simulating Cost-effectiveness of Continuous Glucose Monitoring Mobile Application for Patient with Type 2 Diabetes Mellitus2020

    • Author(s)
      Shintaro Tsuji, Hongjian Zhang, Teppei Suzuki, Tomoki Ishikawa, Yasuhiro Morii, Takumi Tanikawa, Jun Nakaya, Katsuhiko Ogasawara.
    • Journal Title

      Journal of Medical Internet Research

      Volume: 22 Issue: 9 Pages: e16053-e16053

    • DOI

      10.2196/16053

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Characteristics of type-2 diabetic who are prone to high-cost medical care expenses by Bayesian network2020

    • Author(s)
      Yuji Sase, Daiki Kumagai, Teppei Suzuki, Hiroko Yamashina, Yuji Tani, Kensuke Fujiwara, Takumi Tanikawa, Hisashi Enomoto, Takeshi Aoyama, Wataru Nagai, Katsuhiko Ogasawara
    • Journal Title

      International Journal of Environmental Research and Public Health

      Volume: 17 Issue: 15 Pages: 5271-5271

    • DOI

      10.3390/ijerph17155271

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] 生活習慣の改善意思に影響を与える要因及び地域性の可視化-ベイジアンネットワークを用いたレセプトデータ分析-2019

    • Author(s)
      鈴木哲平、田村菜穂美、榎本尚司、永井亘、小笠原克彦
    • Journal Title

      医療情報学

      Volume: 39 Pages: 85-98

    • Related Report
      2019 Research-status Report
    • Peer Reviewed
  • [Presentation] 特定健康診査における受診者の HbA1cの変化に関連する因子の検討2020

    • Author(s)
      浜館茉緒、森井康博、中谷純、小笠原克彦
    • Organizer
      第40回医療情報学連合大会(第21回日本医療情報学会学術大会)
    • Related Report
      2020 Research-status Report
  • [Presentation] 特定健診・レセプトデータ分析による受診勧奨の医療費・介護費適正化への寄与率分析2019

    • Author(s)
      清水大暉, 鈴木哲平, 森井康博, 澤田将, 小笠原克彦
    • Organizer
      第39回医療情報学連合大会(第19回日本医療情報学会学術大会)
    • Related Report
      2019 Research-status Report
  • [Presentation] 特定健康診査における糖尿病境界型該当者への受診勧奨が医療費に及ぼす影響2019

    • Author(s)
      西郷緑, 森井康博, 鈴木哲平, 澤田将, 小笠原克彦
    • Organizer
      第39回医療情報学連合大会(第19回日本医療情報学会学術大会)
    • Related Report
      2019 Research-status Report
  • [Presentation] 潜在クラス分析を用いた国保レセプト患者の併存疾患別医療費の特徴抽出2018

    • Author(s)
      鈴木哲平、石川智基 、榎本尚司、永井亘、小笠原克彦
    • Organizer
      第38回医療情報学連合大会
    • Related Report
      2018 Research-status Report
  • [Presentation] ベイジアンネットワークを用いた2型糖尿病患者レセプトデータ分析2018

    • Author(s)
      熊谷大樹、鈴木哲平、小笠原克彦
    • Organizer
      日本医療情報学会 第18回北海道支部会学術大会
    • Related Report
      2018 Research-status Report

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Published: 2018-04-23   Modified: 2023-01-30  

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