Wearable Technology to Increase Self-Awareness of Low Back Pain: A Survey of Technology Needs among Health Care Workers.
cross-sectional survey
health and social services
human factors and ergonomics
machine learning
musculoskeletal injury
nurses
random forest
risks
safety
wearable technologies
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
16 Dec 2021
16 Dec 2021
Historique:
received:
03
11
2021
revised:
10
12
2021
accepted:
13
12
2021
entrez:
28
12
2021
pubmed:
29
12
2021
medline:
30
12
2021
Statut:
epublish
Résumé
Low back pain (LBP) is a leading contributor to musculoskeletal injury worldwide and carries a high economic cost. The healthcare industry is the most burdened, with nurses, in particular, being highly prone to LBP. Wearable technologies have the potential to address the challenges of monitoring postures that contribute to LBP and increase self-awareness of workplace postures and movements. We aimed to gain insight into workers' perceptions of LBP and whether they would consider using wearable monitoring technologies to reduce injury risks. We conducted a cross-sectional survey to gather information from a selected population of nurses. Sixty-four participants completed the survey, and data were analyzed with the support of Machine Learning techniques. Findings from this study indicate that the surveyed population (64 nurses) is interested in these new approaches to monitor movement and posture in the workplace. This technology can potentially change the way ergonomic guidelines are implemented in this population.
Identifiants
pubmed: 34960502
pii: s21248412
doi: 10.3390/s21248412
pmc: PMC8706463
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Natural Sciences and Engineering Research Council
ID : XXX
Organisme : CIHR
ID : XXX
Pays : Canada
Organisme : Canada Research Chairs
ID : XXX
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