The Journal of the American Geriatrics Society published research showing investigators developed and validated models that can predict the risk of fall-related injuries in nursing home residents based on clinical data. The data should be routine.
The prediction models achieved success for accurately estimating individuals’ six-month and two-year risk of fall-related injuries.
“These models can be used by researchers and clinicians to accurately determine patient risk for fall-related injuries using routinely collected clinical assessment data,” the authors wrote. “In nursing homes, these models should be used to target preventive strategies.”
One short model included only five predictors. The five include Activities of Daily Living Score, recent fall, hospitalization, ambulation in room, and history of non-hip fractures.
URL upon publication: https://onlinelibrary.wiley.com/doi/10.1111/jgs.18277