In research published in the Journal of the American Geriatrics Society, investigators developed and validated models that can predict the risk of fall-related injuries in nursing home residents based on routinely collected clinical data.
The prediction models achieved good discrimination and excellent calibration for accurately estimating individuals’ six-month and two-year risk of fall-related injuries. One short model that performed well included only five predictors: Activities of Daily Living Score, recent fall, hospitalization in the previous year, ability to walk in room, and history of non-hip fractures.
“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.”
More information:
Development and validation of the fall-related injury risk in nursing homes (INJURE-NH) prediction tool, Journal of the American Geriatrics Society (2023). DOI: 10.1111/jgs.18277
Journal information:
Journal of the American Geriatrics Society
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