ArticleArchives of rehabilitation research and clinical translation2021
Prospective, Single-blind, Randomized Controlled Trial to Evaluate the Effectiveness of a Digital Exercise Therapy Application Compared With Conventional Physical Therapy for the Treatment of Nonoperative Knee Conditions.
Article in Archives of rehabilitation research and clinical translation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Efficacy of a Mobile Multidisciplinary Digital Therapeutics App for Patellofemoral Pain: Randomized Controlled Trial.JMIR mHealth and uHealth · 2025Trial
- Effectiveness of Self-Training With a Web-Based Digital Health Application Versus Physiotherapy in the Treatment of Disorders of the Patella: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- App-based exercise intervention versus supervised exercise therapy for patients with hip or knee osteoarthritis-the randomised noninferiority DigiOA trial.EULAR rheumatology open · 2025Article
- Retrospective Case-Control Study on the Effect of In-Person Physical Therapy With Remote Therapeutic Monitoring on Functional Outcomes and Plan of Care Adherence Amongst Individuals With Musculoskeletal Conditions.Archives of rehabilitation research and clinical translation · 2025Article
- A Systematic Review and Meta-Analysis of the Effects of Rehabilitation Using Digital Healthcare on Musculoskeletal Pain and Quality of Life.Journal of pain research · 2023Review
- Measurement of Adherence to mHealth Physical Activity Interventions and Exploration of the Factors That Affect the Adherence: Scoping Review and Proposed Framework.Journal of medical Internet research · 2022Article
- The Evidence Driving Policy for the Implementation of Virtual Rehabilitation Is Riddled With Conflicts of Interest.Sports healthArticle
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the effectiveness and adherence of a home exercise therapy program using a digital exercise therapy application (DETA) compared with conventional physical therapy (PT).
designParallel group, randomized controlled trial.
settingTwo clinics in a tertiary care academic center.
participantsParticipants (N=60) were enrolled within 1 week after a provider visit for knee pain. Inclusion criteria: age 18-75 years, knee pain diagnosis, and clinician-prescribed PT.
interventionsParticipants were randomized to complete either an 8-week intervention of conventional PT (enrolled n=29; complete n=26) or the DETA (enrolled n=31; completed n=24).
main outcome measuresPatient-Reported Outcomes Measurement Information System (PROMIS) Pain Interference (PI) and Physical Function (PF) scores implemented via computer adaptive tests; number of exercise sessions completed per week (adherence).
resultsCompared with the PT group, the DETA group reported significant decreases in PROMIS-PI scores (-6.1±6.7 vs -1.5±6.6,
conclusionsUse of this DETA resulted in greater pain and functional improvements compared with PT, with no differences in adherence. It is possible this application may be a viable alternative to conventional PT in certain cases. A larger sample from various geographic locations is needed to improve generalizability and for subgroup analysis. Further investigation is warranted to determine the factors responsible for the differences observed between the groups.
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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.