Biomechanical load during patient transfer with assistive devices: Cross-sectional study.


Journal

Ergonomics
ISSN: 1366-5847
Titre abrégé: Ergonomics
Pays: England
ID NLM: 0373220

Informations de publication

Date de publication:
Sep 2020
Historique:
pubmed: 5 5 2020
medline: 9 2 2021
entrez: 5 5 2020
Statut: ppublish

Résumé

This study utilised a cross-sectional design to perform measurements of muscle activity as well as forward - and lateral trunk inclination angle during a full workday among 52 female healthcare workers from 16 different departments at five Danish hospitals. Using linear mixed models, the 95th percentile ranks of the normalised root mean square (nRMS) values were analysed for the different types of assistive devices. Compared to no assistive device (mean nRMS 27.9%, 95% CI 24.8%-31.0%), the use of intelligent beds (23.9%, CI 20.2%-27.6%) and ceiling-lifts (24.0%, CI 20.3%-27.7%) led to lower erector spinae nRMS values across all types of patient transfers. Conversely, the use of bedsheets (30.6%, CI 27.1%-34.2%), sliding-sheets (30.3%, CI 26.8%-33.9%) and sliding-boards (33.5%, CI 29.5%-37.6%) were associated with higher levels of erector spinae muscle activity.Consistent use of ceiling-lifts and intelligent beds reduces the physical workload and may thereby decrease the risk of musculoskeletal disorders among healthcare workers.

Identifiants

pubmed: 32362200
doi: 10.1080/00140139.2020.1764113
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

1164-1174

Auteurs

Jonas Vinstrup (J)

National Research Centre for the Working Environment, Copenhagen, Denmark.
Department of Health Science and Technology, Sport Sciences - Performance and Technology, Aalborg University, Aalborg, Denmark.

Markus D Jakobsen (MD)

National Research Centre for the Working Environment, Copenhagen, Denmark.

Pascal Madeleine (P)

Department of Health Science and Technology, Sport Sciences - Performance and Technology, Aalborg University, Aalborg, Denmark.

Lars L Andersen (LL)

National Research Centre for the Working Environment, Copenhagen, Denmark.
Department of Health Science and Technology, Sport Sciences - Performance and Technology, Aalborg University, Aalborg, Denmark.

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Classifications MeSH