ArticleInnovations in clinical neuroscience
Who Will Pay for Robotic Rehabilitation? The Growing Need for a Cost-effectiveness Analysis.
Article in Innovations in clinical neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Robotic-assisted gait training for spinal cord injury neuropathic pain: A systematic review.The journal of spinal cord medicine · 2026Pooled it
- A systematic review on the usability of robotic and virtual reality devices in neuromotor rehabilitation: patients' and healthcare professionals' perspective.BMC health services research · 2022Pooled it
- Article
- Overground robotic walker use in the home and community: a six-month prospective cohort study.Journal of neuroengineering and rehabilitation · 2025Observational
- Investigating a Telerehabilitation Platform Integrated With a Rehabilitation Robot Using Microsoft HoloLens 2 for Upper-Limb Therapy: Pilot Usability Study.JMIR rehabilitation and assistive technologies · 2025Article
- The Use of Head-Mounted Display Systems for Upper Limb Kinematic Analysis in Post-Stroke Patients: A Perspective Review on Benefits, Challenges and Other Solutions.Bioengineering (Basel, Switzerland) · 2024Review
- Economic Cost of Rehabilitation with Robotic and Virtual Reality Systems in People with Neurological Disorders: A Systematic Review.Journal of clinical medicine · 2024Review
- Optimizing lower limb rehabilitation: the intersection of machine learning and rehabilitative robotics.Frontiers in rehabilitation sciences · 2024Review
- Robot-Aided Motion Analysis in Neurorehabilitation: Benefits and Challenges.Diagnostics (Basel, Switzerland) · 2023Review
- Cost-effectiveness analysis of robot-assisted gait training in patients with bilateral spastic cerebral palsy.Cost effectiveness and resource allocation : C/E · 2023Article
- Rehabilitation of Gait and Balance in Cerebral Palsy: A Scoping Review on the Use of Robotics with Biomechanical Implications.Journal of clinical medicine · 2023Article
- Motion Analysis of Balance Pre and Post Sensorimotor Exercises to Enhance Elderly Mobility: A Case Study.Applied sciences (Basel, Switzerland) · 2023Article
- Innovative Technologies in the Neurorehabilitation of Traumatic Brain Injury: A Systematic Review.Brain sciences · 2022Review
- Innovative Rehabilitation Technologies in the COVID-19 Era: Two Sides of the Same Coin.Innovations in clinical neuroscienceArticle
- Beyond Robotics and Virtual Reality: It's Time to go Back to the Patient!Innovations in clinical neuroscienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The robot-assisted rehabilitation is a type of technology that has shown great advances in recent years, demonstrating its effectiveness in different neurological disorders; however, the main argument against the introduction of robot technology in rehabilitation is economic considerations. Herein, we discussed the main concerns related to the widespread use of innovation technology and the need for a cost-effectiveness analysis to enter robotics into the framework of the healthcare systems involved in neurorehabilitation.
Indexed as
Identifiers
33898096PMC7819581What OpenQuestion holds
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.