Proof of Concept Testing of Safe Patient Handling Intervention Using Wearable Sensor Technology.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
20 Jun 2023
Historique:
received: 12 05 2023
revised: 06 06 2023
accepted: 17 06 2023
medline: 10 7 2023
pubmed: 8 7 2023
entrez: 8 7 2023
Statut: epublish

Résumé

Healthcare workers make up one of the occupations in the United States that experience the most musculoskeletal injuries. These injuries are often related to the movement and repositioning of patients. Despite previous injury prevention attempts, injury rates remain at an unsustainable level. The purpose of this proof-of-concept study is to provide preliminary testing of the impact of a lifting intervention on common biomechanical risk factors for injury during high-risk patient movements.; Methods: A before-and-after (quasi-experimental) design was utilized to compare biomechanical risk factors before and after a lifting intervention. Kinematic data were collected using the Xsens motion capture system, while muscle activations were collected with the Delsys Trigno EMG system. Improvements were noted in the lever arm distance, trunk velocity, and muscle activations during the movements following the intervention; Conclusions: The contextual lifting intervention shows a positive impact on the biomechanical risk factors for musculoskeletal injury among healthcare workers without increasing the biomechanical risk. A larger, prospective study is needed to determine the intervention's ability to reduce injuries among healthcare workers.

Sections du résumé

BACKGROUND BACKGROUND
Healthcare workers make up one of the occupations in the United States that experience the most musculoskeletal injuries. These injuries are often related to the movement and repositioning of patients. Despite previous injury prevention attempts, injury rates remain at an unsustainable level. The purpose of this proof-of-concept study is to provide preliminary testing of the impact of a lifting intervention on common biomechanical risk factors for injury during high-risk patient movements.; Methods: A before-and-after (quasi-experimental) design was utilized to compare biomechanical risk factors before and after a lifting intervention. Kinematic data were collected using the Xsens motion capture system, while muscle activations were collected with the Delsys Trigno EMG system.
RESULTS RESULTS
Improvements were noted in the lever arm distance, trunk velocity, and muscle activations during the movements following the intervention; Conclusions: The contextual lifting intervention shows a positive impact on the biomechanical risk factors for musculoskeletal injury among healthcare workers without increasing the biomechanical risk. A larger, prospective study is needed to determine the intervention's ability to reduce injuries among healthcare workers.

Identifiants

pubmed: 37420937
pii: s23125769
doi: 10.3390/s23125769
pmc: PMC10301605
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Michael Callihan (M)

Capstone College of Nursing, The University of Alabama, Tuscaloosa, AL 35401, USA.

Brylan Somers (B)

Capstone College of Nursing, The University of Alabama, Tuscaloosa, AL 35401, USA.

Dhruv Dinesh (D)

Capstone College of Nursing, The University of Alabama, Tuscaloosa, AL 35401, USA.

Lauren Aldred (L)

Capstone College of Nursing, The University of Alabama, Tuscaloosa, AL 35401, USA.

Kaitlyn Clamp (K)

Capstone College of Nursing, The University of Alabama, Tuscaloosa, AL 35401, USA.

Alyssa Treglown (A)

Capstone College of Nursing, The University of Alabama, Tuscaloosa, AL 35401, USA.

Cole Custred (C)

Capstone College of Nursing, The University of Alabama, Tuscaloosa, AL 35401, USA.

Kathryn Porteous (K)

Capstone College of Nursing, The University of Alabama, Tuscaloosa, AL 35401, USA.

Emily Szukala (E)

Capstone College of Nursing, The University of Alabama, Tuscaloosa, AL 35401, USA.

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Classifications MeSH