This paper uses deep (machine) learning techniques to develop and test how motor behaviors, derived from location and movement sensor tracking data, may be associated with falls, delirium, and urinary tract infections (UTIs) in long-term care (LTC) residents.
Loneliness is a common experience within long-term care and, to promote well-being and quality of life among people with dementia, it is important to draw upon a repertoire of strategies that provide social stimulation, companionship, and enjoyment. This paper describes and reflects on a program of co-oper...
Lack of nursing home (NH)-specific palliative care practice guidelines has been identified as a barrier to improving palliative and end-of-life (EOL) quality of care.
Fall prevention is important in many hospitals. Current fall-risk-screening tools have limited predictive accuracy specifically for older inpatients. Their administration can be time-consuming. A reliable and easy-to-administer tool is desirable to identify older inpatients at higher fall risk. We aimed to...
The majority of scales to measure family member distress in dementia are designed for community settings and do not capture the unique burdens of the nursing home (NH) environment. We report the psychometric properties of a new Family Distress in Advanced Dementia Scale for use in the NH setting.