Document Type

Article

Publication Date

5-10-2020

Publication Title

JMIR mHealth and uHealth

Volume

8

Issue

10

First page number:

1

Last page number:

13

Abstract

Background: Many people with Parkinson disease do not have access to exercise programs that are specifically tailored to their needs and capabilities. This mobile app allows people with Parkinson disease to access Parkinson disease–specific exercises that are individually tailored using in-app demographic questions and performance tests which are fed into an algorithm which in turn produces a video-guided exercise program. Objective: To test the feasibility, safety, and signal of efficacy of a mobile app that facilitates exercise for people with Parkinson disease. Methods: A prospective, single-cohort design of people with Parkinson disease who had downloaded the 9zest app for exercise was used for this 12-week pilot study. Participants, who were recruited online, were encouraged to exercise with the full automated app for ≥150 minutes each week. The primary endpoints were feasibility (app usage and usability questions) and safety (adverse events and falls). The primary endpoints for signal of efficacy were a comparison of the in-app baseline and 8-week outcomes on the 30-second Sit-To-Stand (STS) test, Timed Up and Go (TUG) test, and the Parkinson’s Disease Questionnaire 8 (PDQ8). Results: For feasibility, of the 28 participants that completed the study, 12 participants averaged... (See full article for abstract).

Keywords

Parkinson disease; Smartphone; Mobile phone; Telehealth; Telerehabilitation; Digital health; Physical therapy

Disciplines

Physical Therapy

File Format

pdf

File Size

818 KB

Language

English

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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