Investigation the relationship between xenophobic attitude and intercultural sensitivity level in nurses.

Autor: Yıldız M; Department of Nursing, Sakarya University, Sakarya, Turkey., Yıldırım MS; Vocational School of Health Services, Agri Ibrahim Cecen University School of Health, Agri, Turkey. Electronic address: emegim03@hotmail.com., Elkoca A; Department of Midwifery, Gaziantep İslam Bilim ve Teknoloji University, Gaziantep, Turkey., Sarpdağı Y; Department of Nursing Van Yuzuncu Yil University, Turkey., Atay ME; Vocational School of Health Services, Agri Ibrahim Cecen University School of Health, Agri, Turkey., Dege G; Department of Nutrition and Dietetics Agri Ibrahim Cecen University, Agri, Turkey.
Jazyk: angličtina
Zdroj: Archives of psychiatric nursing [Arch Psychiatr Nurs] 2024 Feb; Vol. 48, pp. 20-29. Date of Electronic Publication: 2024 Jan 10.
DOI: 10.1016/j.apnu.2023.12.002
Abstrakt: Objective: The level of intercultural sensitivity is important for nurses to approach the individual's culture in care and treatment without prejudice. In this study, it was aimed to determine the effect of nurses' intercultural sensitivity level on xenophobic attitude.
Methods: This quantitative cross-sectional study was conducted at Van Training and Research Hospital between January and June 2022. The Introductory Information Form, the Xenophobia Scale, and the Intercultural Sensitivity Scale were used to collect the research data. SPSS-25 package program and R programming language 4.1.3 are used.
Results: This study was conducted with 235 nurses. According to the findings obtained in our study, the regression model determine the effect of intercultural sensitivity on xenophobia level was found to be F(1,233) = 69.857, p = 0.001, and 23.1 % (R 2  = 0.231) of the variance in the dependent variable was explained by the independent variable. Intercultural sensitivity has a negative and significant effect on the level of xenophobia (β = -0.480; t (233) = -8.358, p = 0.001). When comparing the performance of all variables with machine learning algorithms for the prediction model, the best performing algorithm was found to be Random Forest (RF). The contributions of these variables to the model were calculated with Shapley Additive Explanations (SHAP) values. The most important variables that should be included in the model to predict the xenophobia variable are the respect for cultural differences sub-dimension and intercultural sensitivity variables.
Conclusion: It was determined that as the level of intercultural sensitivity of the nurses increased, their xenophobic attitudes decreased. Longitudinal studies on xenophobic attitude in nurses are recommended. It is recommended to make predictions with different machine learning models.
Competing Interests: Declaration of competing interest The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
(Copyright © 2024 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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