Ergonomic challenges in healthcare: mapping physical load during patient transfers using electromyographic field measurements

Front Public Health. 2024 Nov 25:12:1459595. doi: 10.3389/fpubh.2024.1459595. eCollection 2024.

Abstract

Purpose: Work-related musculoskeletal disorders are prevalent among healthcare workers. These workers experience high rates of low-back pain; partly due to the high physical demands of patient transfers. Understanding the specific transfer scenarios that contribute to high physical loads is therefore crucial for developing strategies to improve working conditions.

Methods: This study utilized electromyography to measure muscle activity in the erector spinae muscles during patient transfers, performing measurements in real-life hospital settings to identify the physical load associated with different transfer scenarios. Using linear mixed models, the 95th percentile ranks of the normalized root mean square (nRMS) values were analyzed for a range of different patient transfers.

Results: The results revealed significant differences in physical load across various patient transfer scenarios. High-load activities included sitting to lying down or lying down to sitting (nRMS 32.7, 95% CI: 28.9-36.6) and lifting the upper body (32.4, 95% CI: 28.8-35.9), while low-load activities such as supporting patients while walking or standing (21.9, 95% CI: 18.6-25.1) and mobilizing in bed (19.9, 95% CI: 16.1-23.8) required less muscle activation. Moderate-load activities included bed to chair transfers (28.1, 95% CI: 24.9-31.3) and lifting the head (26.3, 95% CI: 22.7-29.9).

Conclusion: Understanding the physical load associated with different patient transfer scenarios allows for better organization of work in healthcare settings. These novel findings emphasize the need for effective task allocation, rotational schedules, and the use of assistive devices to distribute physical load and reduce injury risk.

Keywords: electromyography; ergonomics (environmental health); healthcare; nurses; physical load.

MeSH terms

  • Adult
  • Electromyography*
  • Ergonomics*
  • Female
  • Health Personnel / statistics & numerical data
  • Humans
  • Low Back Pain
  • Male
  • Middle Aged
  • Moving and Lifting Patients
  • Musculoskeletal Diseases
  • Occupational Diseases
  • Posture / physiology

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. JV and LA obtained a grant from the Danish Working Environment Research Fund for this study (grant no. AMFF - 49-2020-03 - 20205100135).