A Systematic Review of Multivariate Models for Predicting Fall‐Related Injuries in Older Adults

Existing fall-related injuries prediction models exhibit high bias and inconsistent accuracy, limiting clinical utility. Nursing leaders should advocate for future models that undergo thorough internal and external validation, ensure sufficient events per variable, properly handle missing data, and adopt transparent reporting practices. This will underpin data-driven clinical decisions and enable targeted fall prevention strategies in vulnerable older adults.