Eiko Nakanishi

Introduction: The purpose of this study was to clarify the relationship between the available service information on small-scale multifunctional in-home nursing care (KANTAKI) and its operational status via text mining. Methods: We obtained nationwide textual information on KANTAKI from the Nursing Care Service Information Disclosure System and the Ministry of Health, Labour, and Welfare, and analyzed the characteristics of the word usage using KH Coder. The number of users and employees and the implementation of services were compared among the facilities that used terms relating to medical dependency and end-of-life care, which are KANTAKI characteristics, and with other facilities. Results: The facilities that used terms relating to medical dependency and end-of-life care showed significantly more users requiring nursing care level 5 and more full-time nursing staff than those not using such terms. Moreover, regarding service provision, the rate of procedures was significantly higher in 11 of 12 items, except for stoma. Conclusion: The facilities that use terms relating to medical dependency and end-of-life care in their information have more users and provide a greater variety of services. In the future, educational support is required to enable facility managers to understand the services and translate them into their work.

<jats:sec> <jats:title>Background</jats:title> <jats:p>Japan is a superaging society unparalleled in the world. Elderly people who need medical care do not receive adequate support in the community. As a new service to address this issue, a small-scale multifunctional in-home care nursing service called Kantaki was created in 2012. Kantaki, in collaboration with a primary physician, operates 24 hours a day and provides various nursing services (home visits, home care, day care, and overnight stays) to older people living in the community. The Japanese Nursing Association is working hard to promote this system; however, its low utilization rate is an issue.</jats:p> </jats:sec> <jats:sec> <jats:title>Objective</jats:title> <jats:p>This study aimed to determine factors influencing the utilization rate of Kantaki facilities.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>This was a cross-sectional study. A questionnaire on the operation of Kantaki was sent to all administrators of Kantaki facilities operating in Japan from October 1 to December 31, 2020. A multiple regression analysis was used to determine factors associated with a high utilization rate.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>Responses from 154 of the 593 facilities were analyzed. The average utilization rate for all valid responding facilities was 79.4%. The average number of actual users and the break-even point were almost equal, resulting in little surplus profit from facility operations. A multiple regression analysis showed that factors that had a significant impact on the utilization rate included the break-even point, a surplus of users relative to the break-even point (ie, the margin of revenues), the number of months in office of the administrator, the type of corporation (ie, nonprofit), and Kantaki’s profit from operating home-visit nursing offices. The break-even point, a surplus of users relative to the break-even point, and the number of months in office of the administrator were robust. In addition, support for reducing the burden on family helpers, a service sought by the system, significantly and negatively affected the utilization rate. In the analysis that removed the most influential factors, the cooperation of the home-visit nursing office, Kantaki’s profit from operating the home-visit nursing office, and the number of full-time care workers were significantly related.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>To improve the utilization rate, managers need to stabilize their organization and increase profitability. However, a positive relationship was found between the break-even point and utilization rate, suggesting that simply increasing users did not contribute to cost reduction. Moreover, providing services that meet the needs of individual clients may result in lower utilization rates. These results, which are inconsistent with common sense, reflect the divergence between the assumptions underlying the system’s design and actual conditions. To solve these issues, institutional reforms, such as an increase in nursing care fee points, may be necessary.</jats:p> </jats:sec>