News Release

Models predict nursing home residents’ risk of fall-related injuries

Peer-Reviewed Publication


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.”

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About the Journal
Journal of the American Geriatrics Society is the go-to journal for clinical aging research. We provide a diverse, interprofessional community of healthcare professionals with the latest insights on geriatrics education, clinical practice, and public policy—all supporting the high-quality, person-centered care essential to our well-being as we age. 

About Wiley
Wiley is one of the world’s largest publishers and a global leader in scientific research and career-connected education. Founded in 1807, Wiley enables discovery, powers education, and shapes workforces. Through its industry-leading content, digital platforms, and knowledge networks, the company delivers on its timeless mission to unlock human potential. Visit us at Follow us on FacebookTwitterLinkedIn and Instagram.

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