ArticleScientific reports2022
Providing physical relief for nurses by collaborative robotics.
Article in Scientific reports, 2022. 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
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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
7 citing papers in PubMed, 23 citations in OpenAlex.
- Safety and efficacy of add-on robotic therapy for early mobilization in intermediate neurocritical care: a pilot study.Journal of neuroengineering and rehabilitation · 2025Trial
- Predictive processing as a scalable computational principle for embodied multitask intelligence.Science advances · 2026Article
- Industrial Robotics and the Future of Work.American journal of industrial medicine · 2025Review
- Nursing Robots Can Reduce Nursing Workload in General Adult Wards: A Two-Phase Study.Journal of nursing management · 2025Article
- Cross-cultural comparison of low back pain in the nursing workforce: A pilot study.International journal of nursing practice · 2024Article
- Advancing healthcare through mobile collaboration: a survey of intelligent nursing robots research.Frontiers in public health · 2024Review
- Chair squat performance as a potential predictor of nurses' physical capabilities in ergonomic patient transfers.Scientific reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Manual patient handling is one of the most significant challenges leading to musculoskeletal burden among healthcare workers. Traditional working techniques could be enhanced by innovations that can be individually adapted to the physical capacity of nurses. We evaluated the use of a robotic system providing physical relief by collaboratively assisting nurses in manual patient handling tasks. By quantifying kinetic and muscle activity data, it was possible to distinguish two kinds of movement patterns. Highly asymmetric postures and movements corresponded to distinct extremes in lower limb and spine muscle activity data. The use of collaborative robotics significantly reduced maximum force exertion in the caregiving process by up to 51%. Lateral flexion and torsion of the trunk were reduced by up to 54% and 87%, respectively, leading to a significant reduction in mean spine muscle activity of up to 55%. These findings indicate the feasibility of collaborative robot-assisted patient handling and emphasize the need for future individual intervention programs to prevent physical burden in care.
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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.