Evidence map›Paper›PMID 37943580›Full record

ArticleJMIR research protocols2023

Progressive Transition From Supervised to Unsupervised Robot-Assisted Therapy After Stroke: Protocol for a Single-Group, Interventional Feasibility Study.

Giada Devittori, Raffaele Ranzani, Daria Dinacci, Davide Romiti, Antonella Califfi, Claudio Petrillo, Paolo Rossi, Roger Gassert, Olivier Lambercy

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04388891 (Clinical Feasibility of Minimally Supervised Therapy After Stroke With a Hand Rehabilitation Robot), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 28% 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.

NCT04388891 nacompletednot on this map

Clinical Feasibility of Minimally Supervised Therapy After Stroke With a Hand Rehabilitation Robot (ReHapticKnob): Pilot and Main Study

TypeinterventionalSponsorSwiss Federal Institute of TechnologyRan2020 to 2023Enrolled23ConditionsStrokeArmsMinimally supervised therapy with the ReHapticKnob
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
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

9 authors at 1 institution in 1 country.

Giada DevittoriRehabilitation Engineering Laboratory, Swiss Federal Institute of Technology Zürich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-4945-8034
Raffaele RanzaniRehabilitation Engineering Laboratory, Swiss Federal Institute of Technology Zürich, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-5470-9064
Daria DinacciClinica Hildebrand Centro di Riabilitazione Brissago, Brissago, Switzerland.ORCID https://orcid.org/0000-0002-7659-1228
Davide RomitiClinica Hildebrand Centro di Riabilitazione Brissago, Brissago, Switzerland.ORCID https://orcid.org/0009-0009-5848-3168
Antonella CaliffiClinica Hildebrand Centro di Riabilitazione Brissago, Brissago, Switzerland.ORCID https://orcid.org/0009-0008-9462-8427
Claudio PetrilloClinica Hildebrand Centro di Riabilitazione Brissago, Brissago, Switzerland.ORCID https://orcid.org/0009-0001-2031-255X
Paolo RossiClinica Hildebrand Centro di Riabilitazione Brissago, Brissago, Switzerland.ORCID https://orcid.org/0000-0002-8993-1068
Roger GassertRehabilitation Engineering Laboratory, Swiss Federal Institute of Technology Zürich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-6373-8518
Olivier LambercyRehabilitation Engineering Laboratory, Swiss Federal Institute of Technology Zürich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-0760-7054
École Polytechnique Fédérale de Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing the dose of therapy delivered to patients with stroke may improve functional outcomes and quality of life. Unsupervised technology-assisted rehabilitation is a promising way to increase the dose of therapy without dramatically increasing the burden on the health care system. Despite the many existing technologies for unsupervised rehabilitation, active rehabilitation robots have rarely been tested in a fully unsupervised way. Furthermore, the outcomes of unsupervised technology-assisted therapy (eg, feasibility, acceptance, and increase in therapy dose) vary widely. This might be due to the use of different technologies as well as to the broad range of methods applied to teach the patients how to independently train with a technology.

objectiveThis paper describes the study design of a clinical study investigating the feasibility of unsupervised therapy with an active robot and of a systematic approach for the progressive transition from supervised to unsupervised use of a rehabilitation technology in a clinical setting. The effect of unsupervised therapy on achievable therapy dose, user experience in this therapy setting, and the usability of the rehabilitation technology are also evaluated.

methodsParticipants of the clinical study are inpatients of a rehabilitation clinic with subacute stroke undergoing a 4-week intervention where they train with a hand rehabilitation robot. The first week of the intervention is supervised by a therapist, who teaches participants how to interact and train with the device. The second week consists of minimally supervised therapy, where the therapist is present but intervenes only if needed as participants exercise with the device. If the participants properly learn how to train with the device, they proceed to the unsupervised phase and train without any supervision during the third and fourth weeks. Throughout the duration of the study, data on feasibility and therapy dose (ie, duration and repetitions) are collected. Usability and user experience are evaluated at the end of the second (ie, minimally supervised) and fourth (ie, unsupervised) weeks, allowing us to investigate the effect of therapist absence.

resultsAs of April 2023, 13 patients were recruited and completed the protocol, with no reported adverse events.

conclusionsThis study will inform on the feasibility of fully unsupervised rehabilitation with an active rehabilitation robot in a clinical setting and its effect on therapy dose. Furthermore, if successful, the proposed systematic approach for a progressive transition from supervised to unsupervised technology-assisted rehabilitation could serve as a benchmark to allow for easier comparisons between different technologies. This approach could also be extended to the application of such technologies in the home environment, as the supervised and minimally supervised sessions could be performed in the clinic, followed by unsupervised therapy at home after discharge.

trial registrationClinicalTrials.gov NCT04388891; https://clinicaltrials.gov/study/NCT04388891. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/48485.

Indexed as

neurocognitive rehabilitationneurorehabilitationrehabilitation technologyrobot.robot-assisted therapyself-directed therapystroketechnology-assisted rehabilitationunsupervised therapy

Identifiers

PMID37943580
PMCPMC10667973
OpenAlexW4388528965

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.