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Titolo:
Back injuries among nursing personnel - identification of work conditions with cluster analysis
Autore:
Engkvist, IL; Kjellberg, A; Wigaeus, HE; Hagberg, M; Menckel, E; Ekenvall, L;
Indirizzi:
Natl Inst Working Life, S-11279 Stockholm, Sweden Natl Inst Working Life Stockholm Sweden S-11279 -11279 Stockholm, Sweden
Titolo Testata:
SAFETY SCIENCE
fascicolo: 1, volume: 37, anno: 2001,
pagine: 1 - 18
SICI:
0925-7535(200102)37:1<1:BIANP->2.0.ZU;2-8
Fonte:
ISI
Lingua:
ENG
Soggetto:
NURSES; PAIN; FEMALE; HEALTH;
Keywords:
accident; back; cluster analysis; injury; nurse;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
36
Recensione:
Indirizzi per estratti:
Indirizzo: Engkvist, IL Natl Inst Working Life, S-11279 Stockholm, Sweden Natl Inst Working Life Stockholm Sweden S-11279 olm, Sweden
Citazione:
I.L. Engkvist et al., "Back injuries among nursing personnel - identification of work conditions with cluster analysis", SAF SCI, 37(1), 2001, pp. 1-18

Abstract

The aim of the present study was to identify work conditions that are typical for nursing personnel and relevant for the risk of back injuries, and to analyse how individual characteristics contribute to the risk of injuriesin these situations. Six well-defined clusters were identified by cluster analysis. Two clusters had an over-representation of injuries and they werecharacterised by a combination of full-time work, work on a rolling schedule, regular patient transfers and a high proportion of assistant nurses. Inthe three clusters with a lower proportion of injuries the nurses worked part-time. In the cluster with the lowest rate of injuries no one performed regular patient transfers. Working part-time seemed to be a preventive factor for back injury, even when regular patient transfers were performed. Thedecreased risk of injury among the general registered nurses may thus be ajoint effect of fewer working hours, fixed working schedule and less patient handling. The advantages of cluster analysis for detecting the pattern of interacting risk indicators and modifiers are discussed. (C) 2001 Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 20/01/20 alle ore 04:50:05