Predicting Post-Fracture Recovery with Smartphone Mobility Data: A Proof-of-Concept Study.

ABSTRACT:

Background

After a lower-extremity fracture, the patient's priority is to regain function. To date, our ability to measure function has been limited. However, high-fidelity sensors in smartphones continuously measure mobility, providing an expansive pre- and post-injury gait history. We assessed whether pre-injury mobility data, combined with demographic and injury data, reliably predicted post-fracture mobility.

Methods

We enrolled 107 adult patients (mean age, 45 years; 43% female, 62% White, 36% Black, 1% Asian, 1% more than one race) ≥6 months after the surgical treatment of a lower-extremity fracture. Consenting patients exported their Apple iPhone mobility metrics, including step count, walking speed, step length, walking asymmetry, and double-support time. We integrat

SUBMITTER: Shear BM 

PROVIDER: S-EPMC12281417 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature