ArticleJMIR rehabilitation and assistive technologies2019
Medium-Term Outcomes of Digital Versus Conventional Home-Based Rehabilitation After Total Knee Arthroplasty: Prospective, Parallel-Group Feasibility Study.
Article in JMIR rehabilitation and assistive technologies, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 50 papers, 5 of them syntheses that pooled 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.
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.
Home-based Rehabilitation With A Novel Digital Biofeedback System Versus Conventional Rehabilitation After Total Knee Replacement: a Feasibility Study
Randomized Study of the KinexConnect Telerehabilitation System Versus Outpatient Physical Therapy After Total Knee Arthroplasty
Effects of Tele-prehabilitation on Clinical and Muscular Recover in Patients Waiting for Knee Replacement: a Randomized Controlled Trial
Who cites it
50 citing papers in PubMed, 5 syntheses or guidelines pooled it, 94 citations in OpenAlex.
- Effectiveness of Interactive Remote Rehabilitation After Total Knee Arthroplasty: Systematic Review and Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2026Pooled it
- Clinical practice guideline for physical therapist management of total knee arthroplasty: revision 2026.Physical therapy · 2026Guideline
- Pooled it
- Impact of 25 Years of Mobile Health Tools for Pain Management in Patients With Chronic Musculoskeletal Pain: Systematic Review.Journal of medical Internet research · 2024Pooled it
- The Effectiveness of Digital Apps Providing Personalized Exercise Videos: Systematic Review With Meta-Analysis.Journal of medical Internet research · 2023Pooled it
- [Effectiveness of digital therapy in patellofemoral pain treatment].Orthopadie (Heidelberg, Germany) · 2026Trial
- Patient Engagement in a Mobile App-Based Rehabilitation Program for Total Hip or Knee Arthroplasty: Secondary Data Analysis of a Randomized Controlled Trial.JMIR mHealth and uHealth · 2024Trial
- Postoperative rehabilitation using a digital healthcare system in patients with total knee arthroplasty: a randomized controlled trial.Archives of orthopaedic and trauma surgery · 2023Trial
- Digital Telerehabilitation After Total Knee Arthroplasty: A Narrative Review of Clinical Outcomes, Patient Experience, Safety, and Resource Use.Journal of orthopaedics and sports medicine · 2026Article
- From One-Size-Fits-All to Data-Driven Recovery: A Narrative Review of Wearable Technologies Toward Personalized Rehabilitation After Total Hip and Knee Arthroplasty.Journal of personalized medicine · 2026Review
- Intelligent Rehabilitation: Advances in Artificial Intelligence for Musculoskeletal Rehabilitation: A Narrative Review.Orthopedic research and reviews · 2026Review
- Implementation of +PERTOHealthcare (Basel, Switzerland) · 2025Article
- Design and development of a mobile health intervention for rehabilitation support after knee arthroplasty: TeleRehabilitation after knee ArThroplasty (TReAT) project.BMC musculoskeletal disorders · 2024Article
- Effectiveness of In-Home, Augmented Reality-Based Telerehabilitation After Anterior Cruciate Ligament Reconstruction: A Randomized Controlled Trial.Orthopaedic journal of sports medicine · 2024Article
- Application of digital technology in rehabilitation of total knee arthroplasty: A systematic review.Journal of orthopaedics · 2024Review
- A home-based tele-rehabilitation exercise system for patients after knee replacement surgery.BMC musculoskeletal disorders · 2024Article
- Mobile and Computer-Based Applications for Rehabilitation Monitoring and Self-Management After Knee Arthroplasty: Scoping Review.JMIR mHealth and uHealth · 2024Article
- Feasibility of 3D Body Tracking from Monocular 2D Video Feeds in Musculoskeletal Telerehabilitation.Sensors (Basel, Switzerland) · 2023Article
- Quick Transition to One Day Length of Stay after Hip and Knee Arthroplasty Using a Digital Follow-Up Tool during COVID-19: A Retrospective Comparative Study.Healthcare (Basel, Switzerland) · 2023Article
- The role of telemedicine in joint replacement surgery? An updated review.Arthroplasty (London, England) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPhysical rehabilitation is recommended after total knee arthroplasty (TKA). With the expected increase in TKA over the next few decades, it is important to find new ways of delivering cost-effective interventions. Technological interventions have been developed with this intent, but only preliminary evidence exists regarding their validity, with short follow-up times.
objectiveThis study aimed to present the follow-up results of a feasibility study comparing two different home-based programs after TKA: conventional face-to-face sessions and a digital intervention performed through the use of an artificial intelligence-powered biofeedback system under remote clinical monitoring.
methodsThe digital intervention uses a motion tracker allowing 3D movement quantification, a mobile app and a Web portal. This study presents the results of the previous single-center, prospective, parallel-group, feasibility study including an 8-week active treatment stage and further assessments at 3 and 6 months post-TKA. Primary outcome was the Timed Up and Go score, and secondary outcomes were the Knee Osteoarthritis Outcome Scale (KOOS) score and knee range of motion.
resultsA total of 59 patients completed the study (30 in the digital intervention group and 29 in the conventional rehabilitation group) and follow-up assessments. During the active treatment stage, patients in the digital intervention group demonstrated high engagement and satisfaction levels, with an 82% retention rate. Both groups attained clinically relevant improvements from baseline to 6 months post-TKA. At the end of the 8-week program, clinical outcomes were superior in the digital intervention group. At the 3- and 6-month assessments, the outcomes remained superior for the Timed Up and Go score (P<.001) and all KOOS subscale scores (at 3 months, P<.001 overall; at 6 months, KOOS Symptoms: P=.006, Pain: P=.002, Activities of Daily Living: P=.001, Sports: P=.003, and Quality of Life: P=.001). There was progressive convergence between both groups in terms of the knee range of motion, which remained higher for standing flexion in the digital intervention group than the conventional group at 6 months (P=.01). For the primary outcome, at 6 months, the median difference between groups was 4.87 seconds (95% CI 1.85-7.47), in favor of the digital intervention group.
conclusionsThe present study demonstrates that this novel digital intervention for independent home-based rehabilitation after TKA is feasible, engaging, and capable of maximizing clinical outcomes in comparison to conventional rehabilitation in the short and medium term; in addition, this intervention is far less demanding in terms of human resources.
trial registrationClinicalTrials.gov NCT03047252; https://clinicaltrials.gov/ct2/show/NCT03047252.
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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.