Evidence map›Paper›PMID 33016887›Full record

ArticleJMIR mHealth and uHealth2020

A Mobile App Specifically Designed to Facilitate Exercise in Parkinson Disease: Single-Cohort Pilot Study on Feasibility, Safety, and Signal of Efficacy.

Merrill R Landers, Terry D Ellis

2 registry-linked trialsAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 35 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03459586 naunknown statusnot on this map

The Purpose of This Study is to Determine if the 9zest App for Parkinson's Disease (PD) is Feasible, Safe, and Efficacious When Used Independently by Individuals With Parkinson's Disease

TypeinterventionalSponsor9zest. Inc.Ran2018 to 2018Enrolled300ConditionsParkinson DiseaseArms9zest app facilitated exercise
NCT06538298 early_phase1recruitingnot on this mapstarted 2024, after this paper: background citation

A Multimodal Exercise Program With Gamification (MEP+G) in Individuals With Parkinson Disease: a Pilot Randomized Controlled Trial

TypeinterventionalSponsorCalifornia State University, NorthridgeRan2024 to 2026Enrolled50ConditionsParkinson DiseaseArmsMultimodal Exercise Program with Gamification
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  8. Effects of tele-rehabilitation after deep brain stimulation on cardiopulmonary fitness and gait in patients with Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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  14. Can mobile health apps with smartphones and tablets be the new frontier of cognitive rehabilitation in older individuals? A narrative review of a growing field.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Merrill R Landers *Department of Physical Therapy, School of Integrative Health Sciences, University of Nevada, Las Vegas, Las Vegas, NV, United States.ORCID 0000-0002-4234-910X
Terry D EllisDepartment of Physical Therapy and Athletic Training, College of Health & Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, United States.ORCID 0000-0001-7067-4527

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany 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.

objectiveTo test the feasibility, safety, and signal of efficacy of a mobile app that facilitates exercise for people with Parkinson disease.

methodsA 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).

resultsFor feasibility, of the 28 participants that completed the study, 12 participants averaged >150 minutes of app usage per week (3 averaged 120-150, 4 averaged 90-120, and 9 averaged less than 90 minutes). A majority of participants (>74%) felt the exercise was of value (16/19; 9 nonrespondents), provided adequate instruction (14/19; 9 nonrespondents), and was appropriate for level of function (16/19; 9 nonrespondents). For safety, there were no serious adverse events that occurred during the app-guided exercise. There were 4 reports of strain/sprain injuries while using the app among 3 participants, none of which necessitated medical attention. For signal of efficacy, there was improvement for each of the primary endpoints: STS (P=.01), TUG (P<.001), and PDQ8 (P=.01).

conclusionsIndependent, video-guided exercise using a mobile app designed for exercise in Parkinson disease was safe and feasible though there was variability in app usage. Despite this, the results provide evidence for a signal of efficacy as there were improvements in 3 of the 3 outcomes.

trial registrationClinicalTrials.gov NCT03459586; https://clinicaltrials.gov/ct2/show/NCT03459586.

Indexed as

Mobile ApplicationsParkinson DiseaseFeasibility StudiesHumansPilot ProjectsProspective Studiesdigital healthmobile phoneParkinson diseasephysical therapysmartphonetelehealthtelerehabilitation

Identifiers

PMID33016887
PMCPMC7573700

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.