ArticleJournal of experimental orthopaedics2026
Reduced workload demand with handheld robotic-assisted revision knee arthroplasty: A multi-centre NASA Task Load Index analysis.
Article in Journal of experimental orthopaedics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Revision total knee arthroplasty is a complex and technically demanding procedure, with an increasing global incidence. This complexity heightens the cognitive and physical demands of surgical teams, contributing to elevated burnout, musculoskeletal injuries and psychological stress. This European wide multi-centre observational evaluation assessed the impact of a handheld robotic-assisted surgical system on intra-operative workload using the NASA Task Load Index instrument to compare robotic-assisted and manual instrumentation approaches during revision knee arthroplasty. Methods: Data were collected from 212 surveys following 100 revision knee arthroplasty procedures, capturing subjective workload measures across six NASA Task Load Index domains from surgeons and peri-operative theatre staff. Results: The results demonstrated a significant reduction in the overall workload with robotic-assistance compared with manual instrumentation (median overall workload score 0.0 vs. 8.5 respectively, Conclusions: This evaluation underscores the potential of robotic-assisted technology to enhance surgical ergonomics, reduce surgeon fatigue and improve well-being, which may translate into sustained surgical performance. Future work should incorporate objective ergonomic measures, expand participant roles and explore long-term impacts on clinical outcomes and staff welfare. Level of Evidence: Level II.
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