The Effect of Business Operating Systems on Nursing Home Termination

Exploring the Impact of Regional Environment and Institutional Factors on Operation Period of Nursing Facilities in Taiwan

This study examines factors influencing the operational durations of nursing facilities in Taiwan. It departs from previous closure-focused research by analyzing the duration of facility operation. A Cox regression model was employed to assess the impact of regional, governmental, and individual institutional factors on 199 facilities across diverse areas in Taiwan from 2011 to 2019. Results demonstrate closure hazards associated with rising property prices, particularly for rented facilities, with metropolitan locations exhibiting superior survival rates and lower institutional appraisal grades significantly increasing closure. Additionally, operator background, facility type, and bed occupancy emerged as influential factors. These findings underscore the financial vulnerability of rented facilities to market fluctuations and the challenges associated with adjusting resident fees. Furthermore, the study highlights the unique challenges faced by facilities in low-density areas regarding resident access to resources. Policymakers should closely monitor regional factors and consider proactively implementing early warning systems to address these challenges.

Utilization of Japanese long-term care-related data including Kaigo-DB: An analysis of current trends and future directions

Despite high expectations from the government and researchers regarding data utilization, comprehensive analysis of long-term care (LTC)-related data use has been limited. This study reviewed the use of LTC-related data, including Kaigo-DB, in Japan after 2020. There was an increase in studies using LTC-related data in Japan between 2020 and 2021, followed by a stabilization period. The national government provided 13.5% of this data (6.5% from Kaigo-DB), while prefectures and municipalities contributed 85.2%, and facilities provided 1.3%. The linked data used in 90.4% of the studies primarily consisted of original questionnaire or interview surveys (34.6%) and medical claims (34.0%). None of the studies based on Kaigo-DB utilized linked data. In terms of study design, cohort studies were the most common (84.6%), followed by descriptive (5.1%), cross-sectional (3.2%), and case-control studies (1.3%). Among the 138 individual-based analytical descriptive studies, the most frequently used LTC-related data as an exposure was LTC services (26.8%), and the most common data used as an outcome was LTC certification or care need level (43.5%), followed by the independence degree of daily living for the older adults with dementia (18.1%). To enhance the use of LTC-related data, especially the valuable national Kaigo-DB, insights can be gleaned from how researchers effectively utilize municipal and prefectural data. Streamlining access to Kaigo-DB and enabling its linkage with other datasets are promising for future research in this field.