Workplace Predictors of Violence against Nurses Using Machine Learning Techniques: A Cross-Sectional Study Utilizing the National Standard of Psychological Workplace Health and Safety.
machine learning
nursing
workplace violence
Journal
Healthcare (Basel, Switzerland)
ISSN: 2227-9032
Titre abrégé: Healthcare (Basel)
Pays: Switzerland
ID NLM: 101666525
Informations de publication
Date de publication:
01 Apr 2023
01 Apr 2023
Historique:
received:
08
02
2023
revised:
16
03
2023
accepted:
27
03
2023
medline:
14
4
2023
entrez:
13
4
2023
pubmed:
14
4
2023
Statut:
epublish
Résumé
Nurses experience an alarming rate of violence in the workplace. While previous work has indicated that working conditions play an important role in workplace violence outcomes, these studies have not used comprehensive and systematically operationalized variables. Through cross-sectional survey responses from 4066 British Columbian nurses, we identified which of the 13 psychosocial factors, as outlined in the National Standard of Psychological Workplace Health and Safety, are most predictive of workplace violence perpetrated against nurses by patients and their visitors (Type II violence) and organizational employees (Type III violence). Eighty-seven percent of respondents indicated that they had experienced Type II violence, whereas 48% indicated they had experienced Type III violence over the last year. Lack of physical safety, workload management, and psychological protection were the top three psychosocial factors in the workplace predictive of Type II violence, whereas lack of civility and respect, organizational culture, and psychological support were the top three factors associated with Type III violence. The findings in this study shed light on the distinct psychosocial factors in the workplace in need of investment and intervention to address Type II and III violence.
Sections du résumé
BACKGROUND
BACKGROUND
Nurses experience an alarming rate of violence in the workplace. While previous work has indicated that working conditions play an important role in workplace violence outcomes, these studies have not used comprehensive and systematically operationalized variables.
METHODS
METHODS
Through cross-sectional survey responses from 4066 British Columbian nurses, we identified which of the 13 psychosocial factors, as outlined in the National Standard of Psychological Workplace Health and Safety, are most predictive of workplace violence perpetrated against nurses by patients and their visitors (Type II violence) and organizational employees (Type III violence).
RESULTS
RESULTS
Eighty-seven percent of respondents indicated that they had experienced Type II violence, whereas 48% indicated they had experienced Type III violence over the last year. Lack of physical safety, workload management, and psychological protection were the top three psychosocial factors in the workplace predictive of Type II violence, whereas lack of civility and respect, organizational culture, and psychological support were the top three factors associated with Type III violence.
CONCLUSIONS
CONCLUSIONS
The findings in this study shed light on the distinct psychosocial factors in the workplace in need of investment and intervention to address Type II and III violence.
Identifiants
pubmed: 37046935
pii: healthcare11071008
doi: 10.3390/healthcare11071008
pmc: PMC10094471
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Social Sciences and Humanities Research Council
ID : ORS#F19-04340
Références
J Nurs Care Qual. 2022 Apr-Jun 01;37(2):103-109
pubmed: 34593739
J Clin Nurs. 2018 Jul;27(13-14):2620-2632
pubmed: 29446550
Asian Nurs Res (Korean Soc Nurs Sci). 2016 Sep;10(3):234-239
pubmed: 27692254
BMC Nurs. 2021 Nov 1;20(1):216
pubmed: 34724942
Clin Kidney J. 2018 Jul 03;12(2):206-212
pubmed: 30976397
Can J Nurs Res. 2021 Dec;53(4):405-416
pubmed: 33435719
J Adv Nurs. 2019 Aug;75(8):1657-1666
pubmed: 30644125
J Nurs Adm. 2006 May;36(5):259-67
pubmed: 16705307
Can J Nurs Res. 2021 Jun;53(2):134-144
pubmed: 32046504
Can J Nurs Res. 2001 Mar;32(4):57-78
pubmed: 11928302
Int J Nurs Stud. 2014 Jan;51(1):72-84
pubmed: 23433725
Nurs Open. 2020 Jan 15;7(3):731-741
pubmed: 32257260
Healthcare (Basel). 2020 Apr 14;8(2):
pubmed: 32295186
J Nurs Manag. 2022 Sep;30(6):1677-1687
pubmed: 35213934
J Nurs Care Qual. 2008 Oct-Dec;23(4):322-30
pubmed: 18431259
Nurs Res. 2006 Mar-Apr;55(2):137-46
pubmed: 16601626
Nurs Econ. 2014 Jan-Feb;32(1):5-15, 44; quiz 16
pubmed: 24689153
Crit Care Med. 2016 Feb;44(2):368-74
pubmed: 26771782
BMJ Open. 2020 Apr 29;10(4):e034605
pubmed: 32354778
J Occup Environ Med. 2011 Jan;53(1):82-9
pubmed: 21187791
Int J Nurs Stud. 2020 Sep;109:103666
pubmed: 32592889
Appl Nurs Res. 2021 Dec;62:151490
pubmed: 34814994
PeerJ. 2019 Aug 1;7:e7434
pubmed: 31396460
J Nurs Scholarsh. 2010 Mar;42(1):13-22
pubmed: 20487182