Study on Individual and Community Environmental Factors of Healthy Ageing toward Social Security Cost Optimization

2021 Fiscal Year Final Research Report

• Project/Area Number: 19K21446
• Project/Area Number (Other): 18H06365 (2018)
• Research Category: Grant-in-Aid for Research Activity Start-up
• Allocation Type: Multi-year Fund (2019); Single-year Grants (2018)
• Review Section: 0908:Society medicine, nursing, and related fields
• Research Institution: Tokyo Medical and Dental University (2019-2021); Chiba University (2018)
• Principal Investigator: Nagamine Yuiko 東京医科歯科大学, 大学院医歯学総合研究科, ジョイントリサーチ講座助教 (70748368)
• Project Period (FY): 2018-08-24 – 2022-03-31
• Keywords: ぴんぴんころり / 要介護度変遷 / 国保データベース / 日常生活圏域ニーズ調査 / 地域要因 / 個人要因

Outline of Final Research Achievements

The purpose of this study was to examine preventive factors in a population that ends its lifetime with a low level of care needs, using data from a merged National Health Insurance data of Japanese municipalities and the Long-Term Care Prevention Daily Living Needs Survey, which include changes in the level of care needs. As part of the process leading up to the analysis, the collation of each set of data was a challenge. In the process of preparing the study, it became clear that the current data structure of the National Health Insurance system does not allow tracking the future receipt of long-term care insurance and medical insurance for healthy elderly people in the preventive stage. Since there are many medical reasons, such as strokes, falls, and fractures, as determinants of changes in the level of care required, it is essential to combine medical and long-term care data in an analyzable manner to optimize social secuerity cost in the ageing/aged society.

Free Research Field

社会疫学

Academic Significance and Societal Importance of the Research Achievements

本研究では、要介護度の変遷として、先行研究と同様に、要介護度の変遷は、要介護状態ならずに推移する群（３）59.1%、徐々に介護度が上がっていく群（２）26.5%、急激に要介護度が上がっていく群（１）14.5%の大きく３群に分けることができた。要介護度を下げずに維持する社会的な要因としては、社会参加や社会的サポートの提供をすることなどが有意に認められた。今回は急性発症の医療的要因はほぼ考慮できていないこともあり、今後は、医療と介護の両者の要因を考慮したうえで、個人、居住地域の介護予防、疾病予防に資する要因を検証できるデータ構築が必要といえる。