Background: Adverse events in nursing homes, which are unintended incidents causing unnecessary harm to older residents. Previous studies in Chinese populations often focused on adverse events in hospitals, rather than residents in nursing homes. Additionally, they tended to focus on single incident rather than multiple types of adverse events.
View Article and Find Full Text PDFObjectives: To develop and externally validate a machine learning-based fall prediction model for ambulatory nursing home residents. The focus is on predicting fall occurrences within 6 months after baseline assessment through a binary classification task, aiming to provide staff with an effective and user-friendly fall-risk assessment tool.
Design: Prospective cohort study.
Aims: To investigate the prevalence of physical inactivity in older adults living in nursing homes and explore the determinants of physical inactivity by using the Capability, Opportunity, Motivation-Behaviour model.
Design: A multisite, cross-sectional study was performed by convenience sampling and questionnaire survey.
Methods: A total of 390 nursing home residents were recruited from three nursing homes in Southern China from May 2022 to April 2023.
This study explored the status of adverse event reporting attitudes and its predictors among nursing staff in Chinese nursing homes. A cross-sectional study was conducted with 475 nursing staff, and they completed sociodemographic and facility-related questionnaire, Incident Reporting Attitude Scale, Adverse Event Reporting Awareness Scale, and Nursing Home Survey on Patient Safety Culture. Univariate analysis and multiple linear regression models were performed.
View Article and Find Full Text PDFObjectives: Falls are common among older people in nursing homes, and the assessment of fall risk factors is critical for the success of fall prevention interventions. This study aimed to systematically assess the incidence and risk factors of falls in older people living in nursing homes.
Design: Systematic review and meta-analysis.