Assessing the wellbeing of family caregivers of multimorbid and homebound older adults-A scoping literature review.

Background: The prevalence of homebound older adults in the United States more than doubled during the COVID-19 pandemic with greater burden on family caregivers. Higher caregiver burden, more specifically higher treatment burden, contributes to increased rates of nursing home placement. There exist a multitude of tools to measure caregiver well-being and they vary substantially in their focus.

Evaluation of an Activity Tracker to Detect Seizures Using Machine Learning.

Currently, the tracking of seizures is highly subjective, dependent on qualitative information provided by the patient and family instead of quantifiable seizure data. Usage of a seizure detection device to potentially detect seizure events in a population of epilepsy patients has been previously done. Therefore, we chose the Fitbit Charge 2 smart watch to determine if it could detect seizure events in patients when compared to continuous electroencephalographic (EEG) monitoring for those admitted to an epilepsy monitoring unit.