Evidence map›Paper›PMID 42685043›Full record

ArticlePloS one2026

Technology-Assisted Rehabilitation Gym for at-home Training (TARGeT) for stroke survivors: A study protocol for evaluating feasibility, safety, usability, clinical benefit, and costs.

Simone Kager, Hsiao-Ju Cheng, Christopher Wee Keong Kuah, Tengiz Samkharadze, Hao Ping Lin, Chwee Yin Ng, Tegan Kate Plunkett, Sam Lee, Niranjana Devi, Filzah Sumartono and 18 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06406569 (Home RehabGym), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

NCT06406569 narecruitingnot on this map

Home RehabGym: a Qualitative and Usability Evaluation of Advanced Technologies for Home Upper Limb Neurorehabilitation Post-stroke

TypeinterventionalSponsorTan Tock Seng HospitalRan2024 to 2026Enrolled30ConditionsStrokeArmsH-Man Robot, ReHandyBot, MyoPanda
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

28 authors.

Simone KagerFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.ORCID https://orcid.org/0000-0002-1160-1501
Hsiao-Ju ChengFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
Christopher Wee Keong KuahInstitute of Rehabilitation Excellence (IREx), Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore.
Tengiz SamkharadzeFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
Hao Ping LinFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
Chwee Yin NgInstitute of Rehabilitation Excellence (IREx), Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore.
Tegan Kate PlunkettInstitute of Rehabilitation Excellence (IREx), Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore.
Sam LeeFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
Niranjana DeviFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
Filzah SumartonoFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
Isaac LuFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
Ananda SidartaRehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0002-2325-3137
Eloise LieRehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore.
Irina HungerbuehlerFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
Daryl ChongFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
Anoop Kumar SinhaFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
Chi Onn TangFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
David MatcharDepartment of Internal Medicine (General Internal Medicine) and Pathology, Duke University, Durham, North Carolina, United States of America.
Giada DevittoriDepartment of Health Sciences and Technology, Rehabilitation Engineering Laboratory, ETH Zurich, Zurich, Switzerland.
Christoph KanzlerFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
Asif HussainArticares Pte Ltd, Singapore, Singapore.
Bernardo NoronhaArticares Pte Ltd, Singapore, Singapore.
Muhammad AzharFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
Gabriel Aguirre-OllingerArticares Pte Ltd, Singapore, Singapore.
Roger GassertFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
Karen Sui Geok ChuaFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
Nicole WenderothFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.
Olivier LambercyFuture Health Technologies, Singapore-ETH Centre, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke is a leading cause of long-term disability, with more than half of survivors experiencing persistent upper limb impairments. Despite clear evidence that high-dose, repetitive, task-specific training is essential for motor recovery, many stroke survivors do not receive a sufficiently high therapy dose - particularly in the outpatient phase. Limited therapist availability, high care costs, and travel burdens remain key barriers to accessing rehabilitation training. While technology-assisted rehabilitation has emerged as a promising solution, most existing studies are limited to single-device interventions, are conducted in clinical settings, and/or require constant supervision, thereby restricting their scalability and impact. This study protocol presents the Technology-Assisted Rehabilitation Gym for at-home Training (TARGeT) trial (ClinicalTrials.gov: NCT06406569), which aims to evaluate the feasibility, safety, usability, clinical benefits, and economic potential of a novel, unsupervised, high-dose home-based therapy program that integrates multiple complementary technologies for upper limb stroke rehabilitation. In this single-centre, pilot feasibility trial, up to 30 subacute and chronic stroke survivors will complete six weeks of daily home-based therapy using three complementary rehabilitation technologies that enable self-administered training without therapist supervision. The training will be remotely monitored by clinicians via an online platform that reports data on the training progress. Assessments will be conducted at five timepoints, measuring clinical outcomes (e.g., FMA, ARAT), quality of life, healthcare utilization, and technologies' perceived usability (SUS, RawTLX). The study will assess whether unsupervised, home-based multi-technology rehabilitation is feasible and safe, provides high usability and satisfying user experience, whether it yields clinical outcomes comparable to conventional therapy based on data from previous studies (own data and literature data), and determines the associated costs relative to conventional therapy. The TARGeT program addresses the critical gap in therapy access and intensity by delivering scalable, high-dose rehabilitation directly into patients' homes. Results will inform future trials and support broader adoption of decentralized, technology-enabled stroke rehabilitation.

Indexed as

Exercise TherapyStrokeStroke RehabilitationClinical Trials as TopicCost-Benefit AnalysisFeasibility StudiesFemaleHumansMaleMiddle AgedPilot ProjectsSurvivors

Identifiers

PMID42685043
PMCPMC13537544

What OpenQuestion holds

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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.