Development and validation of a prediction model for falls among older people using community-based data.

Chisato HayashiTadashi OkanoHiromitsu Toyoda

Published in: Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA (2024)

Using our tool, an individual's risk of falls over the course of a year could be predicted with acceptable sensitivity and specificity. We recommend a cutoff value of 22% for use in identifying high-risk populations. The tool may benefit healthcare workers in screening community-dwelling older adults with various levels of risk for falls and support physicians in planning preventative and follow-up care.

Keyphrases

community dwelling
healthcare
primary care
palliative care
quality improvement
big data
pain management
machine learning
chronic pain
data analysis
genetic diversity