ArticleJournal of neuroengineering and rehabilitation2025
Healthcare practitioners and robotic-assisted rehabilitation: understanding needs and barriers.
Article in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Implementing Rehabilitation Robotics in Routine Care: A Mapping Review of Service Delivery Models, Implementation Determinants, Strategies, and Real-World Outcomes.Healthcare (Basel, Switzerland) · 2026Review
- Explaining the Use Behavior of Digital Technologies in Pediatric Rehabilitation: Structural Equation Modeling Analysis of a Cross-Sectional European Survey.Journal of medical Internet research · 2026Article
- Barriers and Facilitators to the 3 Sides of Extended Reality-Rehabilitation Adoption: Scoping Review.Journal of medical Internet research · 2026Article
- Digital Health Technology Use Among Rehabilitation Professionals in China: Multi-Province Cross-Sectional Survey.Journal of medical Internet research · 2026Article
- Artificial intelligence in multidisciplinary tumor boards enhancing decision making and clinical outcomes in oncology.iScience · 2025Review
- Rehabilitation robotics and allied digital technologies: opportunities, barriers and solutions for improving their clinical implementation. A position paper from the Fit for Medical Robotics Initiative.Frontiers in robotics and AI · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
backgroundsIn recent years, numerous robotic devices, together with allied technologies, have been developed to support rehabilitation, both in research settings and industry. Although robotic-assisted rehabilitation and related technologies hold significant promise for supporting healthcare practitioners and enhancing patient care, their use in clinical practice remains limited. One of the motivations could be that final users' needs have not been given due consideration so far. As a matter of fact, understanding user needs and perceptions is crucial for designing these technological devices and for creating new organizational models within hospitals aiming to establish and maintain robotics-assisted rehabilitation gyms.
methodsWe developed and distributed an online survey to the Italian community of healthcare practitioners working in rehabilitation, to depict the current landscape of robotic-assisted rehabilitation and to understand their opinions and demands across various domains and diseases. The questionnaire is divided into two main parts. The first section pertains to the respondents' demographics and professional experience. The second part includes questions about eight different categories of rehabilitative devices. For each category, practitioners can indicate whether they use a device in their practice, their perceptions, and any perceived barriers. Additionally, they can fill out a System Usability Scale for a specific device in that category.
resultsWe collected answers from 423 Italian rehabilitation professionals, including various clinical roles, that revealed significant insights into the use of robotics in rehabilitation. Gender distribution shows a high prevalence of female professionals. 40% of respondents reported being unfamiliar with any robotics devices. Advanced treadmills are the most known and used robots. Generally, usage and experience with devices are associated with positive attitudes towards robotics-assisted rehabilitation. Lack of financial resources and scientific evidence, as well as lack of opportunities and training, are the most reported barriers.
conclusionsDespite a general positivity towards technology, there is a substantial lack of awareness about rehabilitation devices among professionals. The survey highlights the need for enhanced training and education on robotics in rehabilitation programs. Additionally, the limited focus on home rehabilitation is noted. The study emphasizes the importance of verifying both the effectiveness and economic sustainability of robotic devices in clinical practice.
Indexed as
Identifiers
What 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.