Evidence map›Paper›PMID 38975689›Full record

ArticleDisability and rehabilitation2025

Clinician perceptions of a novel wearable robotic hand orthosis for post-stroke hemiparesis.

Lauren Winterbottom, Ava Chen, Rochelle Mendonca, Dawn M Nilsen, Matei Ciocarlie, Joel Stein

Abstract read
In one paragraph

Article in Disability and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

6 authors.

Lauren WinterbottomDepartment of Rehabilitation and Regenerative Medicine, Columbia University, New York, NY, USA.ORCID 0000-0003-4859-2087
Ava ChenDepartment of Mechanical Engineering, Columbia University, New York, NY, USA.ORCID 0000-0001-5972-5311
Rochelle MendoncaDepartment of Rehabilitation and Regenerative Medicine, Columbia University, New York, NY, USA.ORCID 0000-0002-7706-2133
Dawn M NilsenDepartment of Rehabilitation and Regenerative Medicine, Columbia University, New York, NY, USA.ORCID 0000-0003-3976-5046
Matei CiocarlieDepartment of Mechanical Engineering, Columbia University, New York, NY, USA.ORCID 0000-0002-8317-4465
Joel SteinDepartment of Rehabilitation and Regenerative Medicine, Columbia University, New York, NY, USA.ORCID 0000-0001-5527-025X

Funding

SCH: INT: An Adaptive Robotic Hand Orthosis with Multimodal Sensing and Continuous Learning R01NS115652 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI CIOCARLIE, MATEI, STEIN, JOEL · 2019 to 2022
$1.1M
Impact of biofeedback and task-specific training with a robotic hand orthosis on voluntary muscle modulation for rehabilitation post-strokeF31HD111301 · NICHD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI CHEN, AVA · 2023 to 2024
$73k
NICHD NIH HHS F31 HD111301NINDS NIH HHS R01 NS115652
6 · The paper itself

Abstract

purposeWearable robotic devices are currently being developed to improve upper limb function for individuals with hemiparesis after stroke. Incorporating the views of clinicians during the development of new technologies can help ensure that end products meet clinical needs and can be adopted for patient care.

methodsIn this cross-sectional mixed-methods study, an anonymous online survey was used to gather clinicians' perceptions of a wearable robotic hand orthosis for post-stroke hemiparesis. Participants were asked about their clinical experience and provided feedback on the prototype device after viewing a video.

results154 participants completed the survey. Only 18.8% had previous experience with robotic technology. The majority of participants (64.9%) reported that they would use the device for both rehabilitative and assistive purposes. Participants perceived that the device could be used in supervised clinical settings with all phases of stroke. Participants also indicated a need for insurance coverage and quick setup time.

conclusionsEngaging clinicians early in the design process can help guide the development of wearable robotic devices. Both rehabilitative and assistive functions are valued by clinicians and should be considered during device development. Future research is needed to understand a broader set of stakeholders' perspectives on utility and design.

Indexed as

Attitude of Health PersonnelHandOrthotic DevicesParesisRoboticsStrokeStroke RehabilitationWearable Electronic DevicesAdultAgedCross-Sectional StudiesEquipment DesignFemaleHumansMaleMiddle Agedassistive technologyclinician perceptionsrehabilitationstakeholder engagementStrokeupper limbwearable devices

Identifiers

PMID38975689
PMCPMC11707043

What OpenQuestion holds

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Registered trials

None linked

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.