A smartphone sensor-based digital outcome assessment of multiple sclerosis.

ABSTRACT:

Background

Sensor-based monitoring tools fill a critical gap in multiple sclerosis (MS) research and clinical care.

Objective

The aim of this study is to assess performance characteristics of the Floodlight Proof-of-Concept (PoC) app.

Methods

In a 24-week study (clinicaltrials.gov: NCT02952911), smartphone-based active tests and passive monitoring assessed cognition (electronic Symbol Digit Modalities Test), upper extremity function (Pinching Test, Draw a Shape Test), and gait and balance (Static Balance Test, U-Turn Test, Walk Test, Passive Monitoring). Intraclass correlation coefficients (ICCs) and age- or sex-adjusted Spearman's rank correlation determined test-retest reliability and correlations with clinical and magnetic resonance imaging (MRI) outcome measures,

SUBMITTER: Montalban X 

PROVIDER: S-EPMC8961252 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature