A Self-Reported Clinical Tool Predicts Falls in People with Parkinson's Disease.

ABSTRACT:

Background

A 3-step clinical prediction tool including falling in the previous year, freezing of gait in the past month and self-selected gait speed <1.1 m/s has shown high accuracy in predicting falls in people with Parkinson's disease (PD). The accuracy of this tool when including only self-report measures is yet to be determined.

Objectives

To validate the 3-step prediction tool using only self-report measures (3-step self-reported prediction tool), and to externally validate the 3-step clinical prediction tool.

Methods

The clinical tool was used with 137 individuals with PD. Participants also answered a question about self-reported gait speed, enabling scoring of the self-reported tool, and were followed-up for 6 months. An intraclass correlation coefficient (ICC<

SUBMITTER: Almeida LRS 

PROVIDER: S-EPMC8015904 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature