Evidence map›Paper›PMID 30816849›Full record

ArticleJMIR rehabilitation and assistive technologies2019

Medium-Term Outcomes of Digital Versus Conventional Home-Based Rehabilitation After Total Knee Arthroplasty: Prospective, Parallel-Group Feasibility Study.

Fernando Dias Correia, André Nogueira, Ivo Magalhães, Joana Guimarães, Maria Moreira, Isabel Barradas, Maria Molinos, Laetitia Teixeira, José Tulha, Rosmaninho Seabra and 2 more

3 registry-linked trialsOpen access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 5 pooled it
11.9field-weighted citation impact, top 1% of its field
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.

NCT03047252 nacompletednot on this map

Home-based Rehabilitation With A Novel Digital Biofeedback System Versus Conventional Rehabilitation After Total Knee Replacement: a Feasibility Study

TypeinterventionalSponsorSword Health, SARan2016 to 2018Enrolled69ConditionsKnee Osteoarthritis, Arthropathy of KneeArmsHome-based rehabilitation with a digital biofeedback system, Conventional Home-based rehabilitation
NCT04191798 naunknown statusnot on this map

Randomized Study of the KinexConnect Telerehabilitation System Versus Outpatient Physical Therapy After Total Knee Arthroplasty

TypeinterventionalSponsorKinex Medical Company, LLCRan2019 to 2023Enrolled60ConditionsOsteoarthritis, KneeArmsTelerehabilitation using the KinexConnect system for rehabilitation after TKA., Traditional outpatient PT for rehabilitation after TKA.
NCT05668312 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Effects of Tele-prehabilitation on Clinical and Muscular Recover in Patients Waiting for Knee Replacement: a Randomized Controlled Trial

TypeinterventionalSponsorI.R.C.C.S Ospedale Galeazzi-Sant'AmbrogioRan2023 to 2025Enrolled68ConditionsKnee OsteoarthritisArmsTele-prehabilitation, Standard prehabilitation
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 5 syntheses or guidelines pooled it, 94 citations in OpenAlex.

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  12. Implementation of +PERTOHealthcare (Basel, Switzerland) · 2025
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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

12 authors at 5 institutions in 1 country.

Fernando Dias CorreiaSWORD Health, Porto, Portugal.ORCID http://orcid.org/0000-0001-8028-926X
André NogueiraSWORD Health, Porto, Portugal.ORCID http://orcid.org/0000-0002-1625-4406
Ivo MagalhãesSWORD Health, Porto, Portugal.ORCID http://orcid.org/0000-0002-7562-928X
Joana GuimarãesSWORD Health, Porto, Portugal.ORCID http://orcid.org/0000-0001-6091-3993
Maria MoreiraSWORD Health, Porto, Portugal.ORCID http://orcid.org/0000-0003-2608-5156
Isabel BarradasSWORD Health, Porto, Portugal.ORCID http://orcid.org/0000-0002-9511-5008
Maria MolinosSWORD Health, Porto, Portugal.ORCID http://orcid.org/0000-0002-9679-4639
Laetitia TeixeiraDepartment of Population Studies, Abel Salazar Institute of Biomedical Sciences, Porto, Portugal.ORCID http://orcid.org/0000-0002-9276-3683
José TulhaOrthopaedics Department, Hospital da Prelada - Dr. Domingos Braga da Cruz, Porto, Portugal.ORCID http://orcid.org/0000-0001-5406-1165
Rosmaninho SeabraOrthopaedics Department, Hospital da Prelada - Dr. Domingos Braga da Cruz, Porto, Portugal.ORCID http://orcid.org/0000-0002-9272-0149
Jorge LainsPhysical Rehabilitation Medicine Department, Rovisco Pais Medical and Rehabilitation Centre, Tocha, Portugal.ORCID http://orcid.org/0000-0002-8737-7569
Virgílio BentoSWORD Health, Porto, Portugal.ORCID http://orcid.org/0000-0001-6025-8511
Hospital Braga · PTCentro De Medicina Veterinária Anjos De Assis · PTHospital de Santo António · PTInstituto Superior da Maia · PTUniversidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

artificial intelligencedigital physiotherapisteHealthhome-based telerehabilitationkneeTKA

Identifiers

PMID30816849
PMCPMC6416534
OpenAlexW2919025011

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.