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Ergonomic interventions to reduce upper limb musculoskeletal pain during robotic surgery: a narrative review. | LitMetric

AI Article Synopsis

  • There is a significant occurrence of upper limb musculoskeletal pain among robotic surgeons, often caused by poor ergonomic positioning during surgeries.
  • Current assessment methods like rapid upper limb assessment and surface electromyography help evaluate muscle fatigue and ergonomic efficacy, but there are limited studies specifically focusing on ergonomic solutions for robotic surgery.
  • Evidence from other professions suggests that interventions like resistance training, forearm compression sleeves, stretching, and ergonomic improvements can alleviate pain, indicating the need for further research to identify effective strategies for robotic surgeons.

Article Abstract

There is a high prevalence of upper limb musculoskeletal pain among robotic surgeons. Poor upper limb ergonomic positioning during robotic surgery occurs when the shoulders are abducted, and the elbows are lifted off the console armrest. The validated rapid upper limb assessment can quantify ergonomic efficacy. Surface electromyography and hand dynamometer assessment of strength are the most common methods to assess muscle fatigue. A literature review was performed to find evidence of ergonomic interventions which reduce upper limb musculoskeletal pain during robotic surgery. There is a paucity of studies which have reported on this topic. In other occupations, there is strong evidence for the use of resistance training to prevent upper extremity pain. Use of forearm compression sleeves, stretching, and massage may help reduce forearm fatigue. Microbreaks with targeted stretching, active ergonomic training, improved use of armrest, and optimal hand controller design have been shown to reduce upper limb musculoskeletal pain. Future studies should assess which interventions are beneficial in reducing surgeon upper limb pain during robotic surgery.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11130008PMC
http://dx.doi.org/10.1007/s11701-024-01992-wDOI Listing

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