Evidence map›Paper›PMID 31186929›Full record

ArticleJournal of rehabilitation and assistive technologies engineering

Affordable stroke therapy in high-, low- and middle-income countries: From Theradrive to Rehab CARES, a compact robot gym.

Michelle Jillian Johnson, Roshan Rai, Sarath Barathi, Rochelle Mendonca, Karla Bustamante-Valles

Registry-linked trialAbstract read
In one paragraph

Article in Journal of rehabilitation and assistive technologies engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06956677 (Usability and Effectiveness of a Novel Bilateral Upper Limb Training Device for Stroke Patients With Hemiparesis), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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.

NCT06956677 nacompletednot on this map

Usability and Effectiveness of a Novel Bilateral Upper Limb Training Device for Stroke Patients With Hemiparesis: A Preliminary Study

TypeinterventionalSponsorChang Gung Memorial HospitalRan2023 to 2024Enrolled66ConditionsThe Effectiveness of Novel Rehabilitation Device on Upper Limb Impairment Among Patients With StrokeArmsNovel UE rehabilitation device training, The UE functional training, Conventional occupational therapy
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Towards an Optimal Model of Post-Stroke Sensorimotor Control.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
  5. Analysis of Induced Muscle Activations by an Affordable, Reconfigurable Robot for Comprehensive Post-Stroke Rehabilitation.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
  6. General Purpose Haptic/Biometric-Based Dynamic Difficulty Adjustment for Post-Stroke Upper-Limb Rehabilitation Games.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. TheraDyad: Feasibility of an Affordable Robot for Multi-User Stroke Rehabilitation.Proceedings of the ... IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Robot-Based Assessment of HIV-Related Motor and Cognitive Impairment for Neurorehabilitation.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2021
    Article
  15. Article
  16. Review
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

5 authors.

Michelle Jillian JohnsonDepartment of Physical Medicine and Rehabilitation, University of Pennsylvania, PA, USA.
Roshan RaiDepartment of Physical Medicine and Rehabilitation, University of Pennsylvania, PA, USA.
Sarath BarathiGeneral Robotics Automation Sensing and Perception (GRASP), University of Pennsylvania, PA, USA.
Rochelle MendoncaOccupational Therapy, Temple University, PA, USA.
Karla Bustamante-VallesChihuahua, Mexico instead of Monterrey, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Affordable technology-assisted stroke rehabilitation approaches can improve access to rehabilitation for low-resource environments characterized by the limited availability of rehabilitation experts and poor rehabilitation infrastructure. This paper describes the evolution of an approach to the implementation of affordable, technology-assisted stroke rehabilitation which relies on low-cost mechatronic/robot devices integrated with off-the-shelf or custom games. Important lessons learned from the evolution and use of Theradrive in the USA and in Mexico are briefly described. We present how a stronger and more compact version of the Theradrive is leveraged in the development of a new low-cost, all-in-one robot gym with four exercise stations for upper and lower limb therapy called Rehab Community-based Affordable Robot Exercise System (Rehab C.A.R.E.S). Three of the exercise stations are designed to accommodate versions of the 1 DOF haptic Theradrive with different custom handles or off-the-shelf commercial motion machine. The fourth station leverages a unique configuration of Wii-boards. Overall, results from testing versions of Theradrive in USA and Mexico in a robot gym suggest that the resulting presentation of the Rehab C.A.R.E.S robot gym can be deployed as an affordable computer/robot-assisted solution for stroke rehabilitation in developed and developing countries.

Indexed as

Designglobal healthhaptichigh-income countrieslow- and middle-income countriesmotivationneurorehabilitationrehabilitationrobot therapystroke

Identifiers

PMID31186929
PMCPMC6453086

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.