Temporal pattern of living support service utilization: trajectory analysis using time-series big data

2021 Fiscal Year Final Research Report

• Project/Area Number: 19K22745
• Research Category: Grant-in-Aid for Challenging Research (Exploratory)
• Allocation Type: Multi-year Fund
• Review Section: Medium-sized Section 58:Society medicine, nursing, and related fields
• Research Institution: Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology (2020-2021); The University of Tokyo (2019)
• Principal Investigator: Murayama Hiroshi 地方独立行政法人東京都健康長寿医療センター(東京都健康長寿医療センター研究所), 東京都健康長寿医療センター研究所, 研究副部長 (00565137)
• Project Period (FY): 2019-06-28 – 2022-03-31
• Keywords: 生活支援 / サービス利用 / 高齢者 / ビッグデータ

Outline of Final Research Achievements

This study used time-series big data on the use of home-visit type daily living support services provided by private companies and identified types of daily living support services and changes over time in the use of services. Regardless of whether they were certified for long-term care insurance or not, the frequency of service use for "cleaning, laundry, and yard cleaning" was high and the duration of use was long. Even among the elderly who were certified for long-term care, "cleaning, laundry, and yard cleaning" services were used frequently, suggesting that the services provided by long-term care insurance may not cover all the needs. Compared to seniors who lived with others, seniors who lived alone tended to use services other than " cleaning, laundry, and yard cleaning " and "household goods and building management" more frequently and for a longer period of time.

Free Research Field

地域看護

Academic Significance and Societal Importance of the Research Achievements

2015年に開始した介護予防・日常生活支援総合事業では、介護保険対象外の者へのサービス提供も含めた体制整備が求められている。しかし、利用状況に関する分析はまだ十分に行われていない。とはいえ、高齢者人口の増加に伴い逼迫する介護保険財政を鑑みると、介護保険制度外での生活支援サービスの提供体制構築に資するエビデンスの創出は、今後ますます求められる。本研究の知見を基に、政策レベルでは様々な生活支援サービスの提供体制が整備されていくこと、また、現場レベルでは個別のサービス利用計画を立てていく際の指針（エビデンス）として活用されることが期待される。