Evidence map›Paper›PMID 39655249›Full record

ArticleFrontiers in public health2024

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

Jonas Vinstrup, Markus Due Jakobsen, Anders Bruun Nielsen, Lars Louis Andersen

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jonas VinstrupNational Research Centre for the Working Environment, Copenhagen, Denmark.
Markus Due JakobsenNational Research Centre for the Working Environment, Copenhagen, Denmark.
Anders Bruun NielsenNational Research Centre for the Working Environment, Copenhagen, Denmark.
Lars Louis AndersenNational Research Centre for the Working Environment, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ElectromyographyErgonomicsAdultFemaleHealth PersonnelHumansLow Back PainMaleMiddle AgedMoving and Lifting PatientsMusculoskeletal DiseasesOccupational DiseasesPostureelectromyographyergonomics (environmental health)healthcarenursesphysical load

Identifiers

PMID39655249
PMCPMC11625819

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.