The validation of the Arabic version of the resilience scale 14 (RS-14).

Arabic Nurses Resilience Scale Validity.

Journal

BMC nursing
ISSN: 1472-6955
Titre abrégé: BMC Nurs
Pays: England
ID NLM: 101088683

Informations de publication

Date de publication:
11 Jul 2023
Historique:
received: 22 06 2022
accepted: 21 06 2023
medline: 12 7 2023
pubmed: 12 7 2023
entrez: 11 7 2023
Statut: epublish

Résumé

Nurses in Lebanon are facing multiple crises and the severity of the situation calls for an empirical examination of their resilience status. Evidence indicates that resilience can buffer the negative effect of workplace stressors on nurses and is associated with favorable patient outcomes. The objective of this study was to test the psychometric properties of the Arabic Resilience Scale-14 that was utilized to measure resilience among Lebanese nurses, METHODS: Data was collected from nurses working in health care centers using a cross-sectional survey design. We estimated the confirmatory factor analysis using the Diagonally Weighted least Squares. Fit indices for the confirmatory factor analysis model included Model chi-square, root-mean squared error of approximation and Standardized Root Mean Square Residual. Statistical significance was set at p < 0.05. 1,488 nurses were included in the analysis. The squared multiple correlations values ranged from 0.60 to 0.97 thus supporting the construct validity of the originally hypothesized five factor model (self-reliance, purpose, equanimity, perseverance, and authenticity). The Arabic version of the Resilience Scale 14 tool is considered a valid tool for measuring resilience in any situation involving Arabic speaking nurses.

Sections du résumé

BACKGROUND/OBJECTIVES OBJECTIVE
Nurses in Lebanon are facing multiple crises and the severity of the situation calls for an empirical examination of their resilience status. Evidence indicates that resilience can buffer the negative effect of workplace stressors on nurses and is associated with favorable patient outcomes. The objective of this study was to test the psychometric properties of the Arabic Resilience Scale-14 that was utilized to measure resilience among Lebanese nurses, METHODS: Data was collected from nurses working in health care centers using a cross-sectional survey design. We estimated the confirmatory factor analysis using the Diagonally Weighted least Squares. Fit indices for the confirmatory factor analysis model included Model chi-square, root-mean squared error of approximation and Standardized Root Mean Square Residual. Statistical significance was set at p < 0.05.
RESULTS RESULTS
1,488 nurses were included in the analysis. The squared multiple correlations values ranged from 0.60 to 0.97 thus supporting the construct validity of the originally hypothesized five factor model (self-reliance, purpose, equanimity, perseverance, and authenticity).
CONCLUSIONS CONCLUSIONS
The Arabic version of the Resilience Scale 14 tool is considered a valid tool for measuring resilience in any situation involving Arabic speaking nurses.

Identifiants

pubmed: 37434167
doi: 10.1186/s12912-023-01392-9
pii: 10.1186/s12912-023-01392-9
pmc: PMC10334595
doi:

Types de publication

Journal Article

Langues

eng

Pagination

239

Informations de copyright

© 2023. The Author(s).

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Auteurs

Gladys Honein-AbouHaidar (G)

Hariri School of Nursing, American University of Beirut, Bliss Street, Riad El Solh 1107, PO Box: 11 0236, Beirut, 2020, Lebanon.

Imad Bou-Hamad (I)

Department of Business Information and Decision Systems, Suliman S. Olayan School of Business, American University of Beirut, Bliss Street, Riad El Solh, PO Box: 11 0236, Beirut, 1107 2020, Lebanon.

Suzanne Dhaini (S)

Institute of Nursing Science, Department Public Health, Faculty of Medicine, University of Basel, Bernoullistrasse 28, Basel, CH-4056, Switzerland.

Patricia Davidson (P)

University of Wollongong, Wollongong, Wollongong, New South Wales, NSW, 2522, Australia.

Nancy R Reynolds (NR)

Johns Hopkins School of Nursing, 525 N Wolfe St, Baltimore, MD, 21205, USA.

Ibtisam M Al-Zaru (IM)

Jordan University of Science and Technology, Ar Ramtha 3030 Ar-Ramtha, Irbid, Jordan.

Muntaha Gharaibeh (M)

Jordan University of Science and Technology, Ar Ramtha 3030 Ar-Ramtha, Irbid, Jordan.

Nuhad Yazbik Dumit (NY)

Hariri School of Nursing, American University of Beirut, Bliss Street, Riad El Solh 1107, PO Box: 11 0236, Beirut, 2020, Lebanon. ny00@aub.edu.lb.

Classifications MeSH