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Aim: A short-term intensive prevention service, known as day service type C, involves professional intervention for 3 to 6 months to enhance participants' social participation and roles within their communities. This study aimed to evaluate whether implementing short-term intensive prevention services reduces cumulative long-term care (LTC) costs over a 3-year period, compared with the situation for non-participants.
Methods: This study included older adults aged 65 years and older from Taketa City, Oita Prefecture. A total of 132 individuals participated in short-term intensive prevention services from 2016 to 2019, and the non-participant group comprised 116 individuals identified as eligible for services through a self-administered postal survey in 2019 (both groups at baseline). The non-participant group was selected as part of the Japan Gerontological Evaluation Study. Both groups were followed up for 3 years from baseline. The cumulative LTC costs derived from the public claims records served as the dependent variable. The covariates were sex, living situation, income, level of long-term care need, and risk assessment scale. Linear regression analysis was performed.
Results: The participants incurred 241 398 JPY (± 681 335) per person, while the non-participants incurred 1 147 858 JPY (± 1 244 750). The adjusted linear regression showed that the LTC cost for the participants was lower by 495 534 (-848 382 to -142 686) JPY per person than that for those in the non-participation group.
Conclusions: Compared with non-participants, the participants incurred approximately 500 000 JPY less in cumulative LTC costs per person over the subsequent 3 years. The widespread adoption of short-term, intensive prevention services may contribute to the sustainability of LTC insurance systems. Geriatr Gerontol Int 2025; 25: 1058-1064.
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http://dx.doi.org/10.1111/ggi.70102 | DOI Listing |
PLoS One
September 2025
School of Economics, Minzu University of China, Beijing, China.
This study applies Fisher's investment framework to investigate how patient capital affects firms' green total factor productivity (GTFP). Using panel data from Chinese listed companies over the period 2008-2023, we measure firm-level GTFP by employing a non-radial SBM directional distance function combined with the Malmquist-Luenberger productivity index. Our analysis, based on two-way fixed-effects models and instrumental variable regressions, reveals that an increase in patient capital significantly enhances firms' green total factor productivity.
View Article and Find Full Text PDFOpen Res Eur
August 2025
Universidad de La Laguna, San Cristóbal de La Laguna, Canary Islands, Spain.
This paper examines the urban transformation of Marsascala, a coastal town in Malta, through the lens of tourism development and its social repercussions. Engaging with Young's (1983) model of touristization and landscape change, and drawing from qualitative interviews, field observations, orthophoto analysis, and secondary data, the study traces the town's evolution from a fishing village to a site of intensive tourism consolidation. Findings reveal how population growth-driven by tourism and foreign labour-has led to overdevelopment, infrastructural strain, and a declining quality of life.
View Article and Find Full Text PDFOpen Access Emerg Med
September 2025
Department of Emergency Medicine and Critical Care, Center Hospital of the National Center for Global Health and Medicine, Tokyo, 162-8655, Japan.
Background: A simple screening tool is needed for resource-limited settings because rapid treatment is crucial in sepsis. We investigated whether a simplified score, the reverse shock index multiplied by the Glasgow Coma Scale score (rSIG), could replace the Modified Early Warning Score (MEWS) or the quick Sequential Organ Failure Assessment (qSOFA) for sepsis screening.
Methods: We used data from a Japanese multicenter prospective observational study.
Med Teach
September 2025
NordSim, Center for Skills Training and Simulation, Aalborg University Hospital, Aalborg, Denmark.
Background: Assessing skills in simulated settings is resource-intensive and lacks validated metrics. Advances in AI offer the potential for automated competence assessment, addressing these limitations. This study aimed to develop and validate a machine learning AI model for automated evaluation during simulation-based thyroid ultrasound (US) training.
View Article and Find Full Text PDFFarm Hosp
September 2025
Servicio de Farmacia, Hospital Universitario de Toledo, Toledo, Spain.
Objective: To standardize the drug dilutions administered intravenously in a Pediatric Intensive Care Unit and to characterize these dilutions based on their pH, osmolarity, and vesicant nature. This aims to guide the selection of the most appropriate vascular access device, minimizing associated complications, and preserving the patient's venous capital.
Methods: Through a consensus between Pharmacy and Pediatric Services, the most frequently administered intravenous drugs in the Pediatric Intensive Care Unit were selected.