Sürdürülebilir Kalkınma Amaçları
Yayınlar
- MakaleYalnız künye2025Scopus SJRQ1Patterns and Predictors of Nurse Turnover Intentions Based on Years of Nursing Experience: A Cluster Analysis Approach
Baris, Veysel Karani; Yesiltepe, Akgun; Celik, Gulbahar
Aim: To identify patterns and predictors of nurse turnover intentions based on years of nursing experience using a cluster analysis approach. Background: Nurses with varying years of experience have different characteristics. These differences can also lead to distinct patterns and predictors of turnover intentions. Methods: For this descriptive study, 785 nurses from hospitals across different regions of Türkiye participated in a survey. Data was collected through online questionnaires between April and May 2022. The K-means unsupervised machine learning algorithm was employed to classify nurses into distinct clusters based on their experience. Multiple linear regression analyses were conducted to identify the predictors of turnover intention specific to each cluster. The STROBE guideline was followed for reporting. Results: Cluster analysis grouped nurses into three categories by experience level: low, medium and high. The medium-experience group had the highest turnover intention, whereas the high-experience group had the lowest. Work stress was the only common predictor across all groups. Low income predicted turnover only for the low-experience group, and gender was significant only for the medium-experience group. Conclusion: This study revealed that turnover intention and its predictors vary by experience level, indicating a need for retention strategies tailored to nurses' years of experience. By considering subgroup characteristics, policymakers can develop targeted interventions to enhance nurse retention.
- MakaleAçık Erişim2023Social Media Addiction Among Nursing Students and Its Related Factors
Yesiltepe, Akgun; Demirkiran, Bedriye Cansu; Çam, Sevgi Demir
Background: Social media use has become an indispensable part of our lives as a result of technology advancement and is quite high among students. Methods: This study employed a cross-sectional design. Participants were 289 students from the Faculty of Health Sciences at Artvin Coruh University, Turkey. The Social Media Addiction Scale (SMAS) was used to obtain data. T-test, one-way ANOVA, Pearson's correlation, and Bonferroni analysis were used to analyze the data. Results: The participants' mean SMAS score was 81.03 & PLUSMN; 34.79, which was moderate. A weak and positive correlation was found between social media addiction and daily social media use. Statistical differences were found between social media addiction and social class, maternal education level, place of residence, income level, and general health status. Further, statistically significant differences were found between access to social media such as Facebook, Twitter, and Skype, and SMAS and subscales (p < 0.05). Conclusions: The nursing students in this study showed moderate levels of social media addiction. Factors such as daily social media use, year of study, maternal education level, place of residence, income level, and general health status are associated with the degree of social media addiction.
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İncele - MakaleAçık Erişim2023EFFECT OF GENDER ATTITUDES OF NURSING STUDENTS ON DATING AND DOMESTIC VIOLENCE ATTITUDES
Karadag, Gulendam; Gurkan, Kubra Pinar; Yesiltepe, Akgun
Purpose: Violence and gender inequality duo stand out as a global-scale public health problem, not only because of their frequent prevelances but because of their important effects on youth health. Health workers and especially nurses play an important role in preventing violence. This study aimed to examine the effect of gender attitudes of nursing students on their attitudes towards dating and domestic violence. Material and Methods: This study used a descriptive and cross-sectional design. The sample consisted of a total 638 nursing students. Data were collected with Questionnaire Form, Gender Role Attitude Scale, Dating Violence Attitudes Scale and Domestic Violence Attitude Scale. Mann Whitney U, Kruskall Wallis, spearmen correlation analysis, corrected Bonferroni was used. Results: The domestic and dating violence of the students were affected by the knowledge of gender, region of residence, gender, maternal education and presence of violence between the parents. Students attitudes of gender roles was found to be high, whereas dating violence attitudes were found at a medium level. Conclusion: Gender roles attitudes nursing students have an effect on their domestic and dating violence attitudes.
