Investigation the Relationship Between Xenophobic Attitude and Intercultural Sensitivity Level in Nurses

dc.contributor.author Yildiz, Metin
dc.contributor.author Yildirim, Mehmet Salih
dc.contributor.author Elkoca, Ayse
dc.contributor.author Sarpdag, Yakup
dc.contributor.author Atay, Mehmet Emin
dc.contributor.author Dege, Go khan
dc.date.accessioned 2025-05-10T17:23:37Z
dc.date.available 2025-05-10T17:23:37Z
dc.date.issued 2024
dc.description Yildirim, Mehmet Salih/0000-0003-2632-4583; Elkoca, Ayse/0000-0002-3936-4122; Yildiz, Metin/0000-0003-0122-5677; Atay, Mehmet Emin/0000-0002-5373-9031; , Yakup/0000-0002-1608-649X en_US
dc.description.abstract 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 % (R2 = 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 (beta = -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. en_US
dc.identifier.doi 10.1016/j.apnu.2023.12.002
dc.identifier.issn 0883-9417
dc.identifier.issn 1532-8228
dc.identifier.scopus 2-s2.0-85182910192
dc.identifier.uri https://doi.org/10.1016/j.apnu.2023.12.002
dc.identifier.uri https://hdl.handle.net/20.500.14720/10943
dc.language.iso en en_US
dc.publisher W B Saunders Co-elsevier inc en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Nurse en_US
dc.subject Xenophobia en_US
dc.subject Intercultural Sensitivity en_US
dc.title Investigation the Relationship Between Xenophobic Attitude and Intercultural Sensitivity Level in Nurses en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Yildirim, Mehmet Salih/0000-0003-2632-4583
gdc.author.id Elkoca, Ayse/0000-0002-3936-4122
gdc.author.id Yildiz, Metin/0000-0003-0122-5677
gdc.author.id Atay, Mehmet Emin/0000-0002-5373-9031
gdc.author.id Yakup/0000-0002-1608-649X
gdc.author.scopusid 57211455657
gdc.author.scopusid 57223283111
gdc.author.scopusid 57364531900
gdc.author.scopusid 58148746500
gdc.author.scopusid 58609284500
gdc.author.scopusid 58157516400
gdc.author.wosid Yildirim, Mehmet/Aap-5425-2021
gdc.author.wosid Yildiz, Metin/Abf-7252-2020
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
gdc.description.departmenttemp [Yildiz, Metin] Sakarya Univ, Dept Nursing, Sakarya, Turkiye; [Yildirim, Mehmet Salih; Atay, Mehmet Emin] Agri Ibrahim Cecen Univ, Sch Hlth, Vocat Sch Hlth Serv, Agri, Turkiye; [Elkoca, Ayse] Gaziantep Islam Bilim & Teknol Univ, Dept Midwifery, Gaziantep, Turkiye; [Sarpdag, Yakup] Van Yuzuncu Yil Univ, Dept Nursing, Van, Turkiye; [Dege, Go khan] Agri Ibrahim Cecen Univ, Dept Nutr & Dietet, Agri, Turkiye en_US
gdc.description.endpage 29 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 20 en_US
gdc.description.volume 48 en_US
gdc.description.woscitationindex Science Citation Index Expanded - Social Science Citation Index
gdc.description.wosquality Q2
gdc.identifier.pmid 38453278
gdc.identifier.wos WOS:001164176000001
gdc.index.type WoS
gdc.index.type Scopus
gdc.index.type PubMed

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