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Aim: To determine the predictors of physical function (PF) decline among nursing home residents using items from the Long-term care Information system For Evidence (LIFE), a system launched in 2021 to ensure the quality of long-term care., Methods: The LIFE data of 1648 residents from 45 nursing homes in Japan were retrospectively collected in July 2021 (T0) and January 2022 (T1), including demographics, PF assessed by the Barthel index (BI), nutrition and oral health, and cognitive function. The Dementia Behavior Disturbance scale was used to assess the frequency of certain behaviors, such as "waking at midnight." The predictors of PF decline, defined as a decrease ≥5 in the BI score at T1 compared with that at T0, were determined using mixed-effects logistic regression analyses. PF at T0 was classified into high (>60 BI) and low (≤60 BI) groups., Results: The participants' mean age was 87.2 ± 7.1 years, and 45.3% experienced PF decline. The significant predictors of PF decline were age ≥ 90 years, body mass index <18.5 kg/m 2 , dementia diagnosis, moderate and severe cognitive impairments, not vocalizing reciprocal exchanges at will, always "waking at midnight," and high PF at T0., Conclusions: The LIFE items predicted PF decline among nursing home residents, suggesting that LIFE data can be used to ensure the quality of long-term care. Geriatr Gerontol Int 2024; 24: 123-132., (© 2023 Japan Geriatrics Society.)

• The number of LTCF residents transferred to hospitals is increasing worldwide. • An AD for not hospitalizing decreased hospital transfers. • Discussions and documentation are necessary to provide care in line with resident's preferences. With the rapidly aging population, the number of residents transferred to hospitals from long-term care facilities (LTCFs) is increasing globally. The objective of this study was to investigate the association between family involvement and an advance directive (AD) for not hospitalizing and hospital transfers among LTCF residents with dementia. Using the InterRAI assessment database from September 2014 to June 2019, we included 874 residents from 16 LTCFs in Japan. Of the 874 participants, 19.0% had an AD for not hospitalizing, and 20.5% were transferred to hospitals. An AD for not hospitalizing decreased the likelihood of hospital transfers (p = 0.005). Multilevel logistic regression analysis showed that family involvement was not associated with hospital transfers (odds ratio [OR]: 1.18; 95% confidence interval [CI]: 0.77–1.80), while an AD for not hospitalizing was significantly associated with decreased hospital transfers (OR: 0.50; 95% CI: 0.28–0.89) among the LTCF residents. Although ADs are not legally defined in Japan, we found that an AD for not hospitalizing decreased hospital transfers. Given that many older people tend to hesitate to express their wishes in clinical decision-making situations in Japan, regular discussions are necessary to help them express their care preferences while also documenting the discussions to ensure the residents receive high-quality care. [ABSTRACT FROM AUTHOR]

In 2021, the Japanese government began operating a long-term care (LTC) database called the Long-Term Care Information System for Evidence (LIFE). However, its utility has not been verified. Regarding unplanned hospital visits of nursing home residents, one of the challenges in LTC is that poor oral health with undernutrition could indicate high-risk residents. Therefore, this study examined the association between poor oral health with undernutrition assessed using the LIFE data and unplanned hospital visits of nursing home residents. Retrospective cohort study. The participants were 237 residents aged ≥65 years in 4 nursing homes in Japan. The analyses included 1041 LIFE data entries repeatedly measured for the participants every month and unplanned hospital visit data during the observation period. The participants' LIFE and unplanned hospital visit data were obtained from the nursing home providers. Poor oral health was defined using oral items included in the LIFE data and body mass index. Using the LIFE data, the association between poor oral health and unplanned hospital visits within 1 month after LIFE assessment entries was analyzed. The odds ratios (ORs) and 95% CIs were calculated using a generalized linear mixed model. In total, 59 of 1041 LIFE data (5.7%) entries were unplanned hospital visits within 1 month after LIFE assessment. Among patient characteristics, significant differences were noted in dementia diagnosis [OR (95% CI): 2.66 (1.26-5.63)], although no significant differences were observed in other characteristics. Multivariate analysis using participant identification as a random effect confirmed that poor oral health was associated with unplanned hospital visits within 1 month [adjusted OR (95% CI): 2.63 (1.05-6.61)]. Poor oral health assessed using the LIFE data could be used as an indicator to identify nursing home residents at high risk for unplanned hospital visits. [ABSTRACT FROM AUTHOR]