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Purpose: Evidence suggests that patients with upper limb impairment following a stroke do not receive recommended amounts of motor practice. Robotics provide a potential solution to address this gap, but clinical adoption is low. The aim of this study was to utilize the technology acceptance model as a framework to identify factors influencing clinician adoption of robotic devices into practice.
Materials And Method: Mixed methods including survey data and focus group discussions with allied health clinicians whose primary caseload was rehabilitation of the neurologically impaired upper limb. Surveys based on the technology acceptance measure were completed pre/post exposure to and use of a robotic device. Focus groups discussions based on the theory of planned behaviour were conducted at the conclusion of the study.
Results: A total of 34 rehabilitation clinicians completed the surveys with pre-implementation data indicating that rehabilitation clinicians perceive robotic devices as complex to use, which influenced intention to use such devices in practice. The focus groups found that lack of experience and time to learn influenced confidence to implement robotic devices into practice.
Conclusion: This study found that perceived usefulness and perceived ease of use of a robotic device in clinical rehabilitation can be improved through experience, training and embedded technological support. However, training and embedded support are not routinely offered, suggesting there is a discordance between current implementation and the learning needs of rehabilitation clinicians.IMPLICATIONS FOR REHABILITATIONPatients do not receive adequate amounts of upper limb motor practice following a stroke, and although robotic devices have the potential to address this gap, clinical adoption is low.The technology acceptance model identified that clinicians perceive robotic devices to be complex to use with current implementation efforts failing to consider their training needs.Implementation adoption of robotic devices in rehabilitation should be supported with adequate training and technological support if sustainable practice change is to be achieved.
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http://dx.doi.org/10.1080/17483107.2022.2060356 | DOI Listing |
ISA Trans
September 2025
School of Astronautics, Harbin Institute of Technology, Harbin, China. Electronic address:
For space missions such as extraterrestrial sample collection, robotic rover exploration, and astronaut landings, the complex terrain and diverse gravitational environments make ground-based micro-low-gravity experimental systems essential for testing and validating spacecraft performance as well as supporting astronaut training. The suspended gravity unloading (SGO) system is a key device commonly used to simulate micro-low-gravity environments. However, the SGO system faces challenges due to model uncertainty and external disturbances, which limit improvements in control accuracy.
View Article and Find Full Text PDFOrv Hetil
September 2025
2 Szemészeti Klinika, Stadtspital Zürich Birmensdorferstrasse 497, CH-8063 Zürich Schweiz.
Hernia
September 2025
Center for Perioperative Optimization, Department of Surgery, Copenhagen University Hospital - Herlev and Gentofte, Borgmester Ib Juuls Vej 1, Herlev, DK-2730, Denmark.
Purpose: Primary ventral hernia repair is a common elective procedure; however, mesh placement practices vary widely, and there is limited evidence to guide optimal placement. This international study examined surgeons' preferences and considerations regarding mesh placement in elective primary ventral hernia repair.
Methods: We conducted an international cross-sectional survey targeting surgeons experienced in primary ventral hernia repair.
Knee Surg Sports Traumatol Arthrosc
September 2025
Orthopaedics Surgery and Sports Medicine Department, FIFA Medical Center of Excellence, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon North University Hospital, Lyon, France.
Purpose: Robotic-assisted lateral unicompartmental knee arthroplasty (UKA) remains technically demanding due to the complex biomechanics of the lateral compartment. Image-based (IBRA) and imageless (ILRA) robotic systems have both demonstrated superior accuracy compared to conventional mechanical instrumentation, but have not yet been directly compared in lateral UKA. This study aimed to evaluate their respective accuracy and surgical efficiency.
View Article and Find Full Text PDFCureus
August 2025
Cardiovascular Medicine, Moscow Multidisciplinary Clinical Center Kommunarka, Moscow, RUS.
Simulation-based training is transforming the education of vascular surgeons in the management of aortic aneurysms (AAs), addressing limitations in traditional apprenticeship models amid declining open surgical volumes and increasing reliance on complex endovascular techniques. This review explores the current landscape of simulation technologies, including computational modeling, fluid-structure interaction, patient-specific 3D printing, artificial intelligence, and robotic platforms. These tools enable high-fidelity, anatomically accurate, and physiologically realistic training environments.
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