Background/Objectives: Falls in nursing homes significantly affect residents’ health and quality of life. Although considerable progress has been made in fall prevention strategies in acute care settings and community environments, research on fall risk assessment methods and prevention strategies in nursing homes remains scarce. Nursing homes provide long-term care for residents with high levels of dependency, presenting unique challenges in managing fall risks. Nevertheless, unlike hospitals, nursing homes face operational constraints, such as limited resources and staffing. These factors necessitate a tailored approach to fall risk management. This study aimed to summarize the current knowledge of fall risk assessment and prevention methods in nursing homes, clarify practical insights for implementation, and identify research gaps based on studies published over the past five years. Methods: This narrative review targeted studies published between 2019 and 2024 on fall risk assessment and prevention methods in nursing homes. A literature search was conducted using the PubMed and CINAHL databases, combining keywords such as “Accident Prevention”, “Fall Risk Assessment”, “Nursing Homes”, “Long-Term Care”, and “Aged”. The inclusion criteria allowed the inclusion of peer-reviewed academic articles on fall risk assessment or prevention interventions in long-term care facilities published in English within the past five years. Studies focusing on community-dwelling older adults, hospitalized older adults, and review articles were excluded. Results: This review analyzed 55 studies; among them, 27 studies focused on fall risk assessment and 28 focused on fall prevention. Regarding fall risk assessment, widely used tools, such as the Morse Fall Scale, which is also utilized in medical settings, have been extensively examined. In addition, new predictive methods utilizing electronic health records (EHR) and wearable devices have been introduced. However, the limited number of reports highlights the potential challenges in developing indicators that consider the unique characteristics and feasibility of LTC facilities. Regarding fall prevention, studies have examined indirect approaches, such as environmental modifications, and direct interventions, such as exercise programs. Furthermore, staff education and organizational initiatives are crucial in implementing preventive measures. However, most studies have been conducted in experimental settings, with limited empirical research available to assess the practical applications of these strategies in real-world nursing home environments. Conclusions: Fall risk assessments in nursing homes lack practical indicators tailored to the specific characteristics of long-term care facilities. Although various digital technologies have been explored for fall prevention, empirical studies that validate their real-world applicability are lacking.

Background: Japan and other nations are experiencing rising demands for care, owing to declining birth rates and aging populations. This particularly affects compound caregivers, people who provide informal care for multiple individuals. Compound caregivers face unique challenges and higher risks of physical and mental health problems. However, existing self-care scales do not cover their needs. This cross-sectional study aimed to develop and validate the Self-Care Scale for Compound Caregivers (SCSCC) to assess specific self-care practices and promote targeted support. Methods: A cross-sectional study was conducted through an online survey of 400 compound caregivers. Reliability was assessed via item analysis, exploratory and confirmatory factor analyses, and Cronbach’s alpha. Criterion validity was evaluated using a self-rated health scale. Results: Overall, 400 compound caregivers participated in the study. After item analysis, we excluded nine items, leaving eight for factor analysis. Exploratory factor analysis revealed a single-factor structure explaining 51.5% of the variance. Confirmatory factor analysis showed a good model fit after modifications (goodness of fit index = 0.964, adjusted goodness of fit index = 0.932, comparative fit index = 0.980, root mean square error of approximation = 0.054). The final version of the SCSCC demonstrated strong internal consistency (Cronbach’s alpha = 0.859) and was positively correlated with self-rated health (r = 0.387, p < 0.001). Conclusions: The SCSCC is a reliable tool for assessing self-care in compound caregivers, supporting health promotion, interventions, and policies to improve their health within the community care system.

The number of patients hospitalized with dementia is increasing, but one symptom, apathy, tends to be overlooked and unaddressed. Thus, this study determines how nurses certified in dementia nursing engage with older patients with dementia who exhibit apathy during hospitalization. A qualitative study using semi-structured interviews with 10 dementia care nurses in Japan was conducted. Through conventional content analysis, 10 categories were generated. They included (1) initiating patient engagement when their physiological or daily-life problems become more pronounced, (2) assessing and identifying the causes of decreased motivation from multiple perspectives, (3) assessing patients from multiple perspectives to determine the best way to start supporting them, (4) providing reassurance through basic dementia care, (5) incorporating pleasant stimuli into the hospital environment, (6) providing care based on patients’ circumstances and abilities by collaborating with multiple professionals. Nurses initiate involvement with patients when their daily life problems become more pronounced. They conduct comprehensive assessments from multiple perspectives and collaborate with other professionals to ensure patient care and safety. They also extend their support to patients’ families and maintain long-term involvement. Apathetic older patients benefit from basic nursing care practices and a patient-centered approach, which do not require specialization or additional costs and resources.