Sürdürülebilir Kalkınma Amaçları
Yayınlar
- MakaleYalnız künye2026The relationship between compassion fatigue and levels of depression, anxiety, and stress in nurses: A multicenter cross-sectional study
Coşar, Dilan Aktepe; Ayyıldız, Neşe Işcan; Şimşekli, Derya
Aim This study aimed to investigate the relationship between compassion fatigue and depression, anxiety, and stress levels in nurses. Method This research is a multicenter, cross-sectional study. The study was conducted with 283 nurses in three state hospitals in northeastern Turkey using a purposive sampling method. Research data were collected by the researchers using a Demographic Form, the Compassion Fatigue Scale (CFS), and the Depression, Anxiety, Stress Scale (DASS-21). Descriptive statistics, normality assessment, one-way ANOVA, t -tests, Pearson correlation and multiple linear regression analysis were performed using SPSS 26 software. Results A total of 283 nurses participated in the study. The mean CFS score was 83.97 ± 13.76, while the mean DASS-21 scores were 8.05 ± 4.10 for depression, 4.89 ± 2.97 for anxiety, and 9.22 ± 4.32 for stress. Correlation and regression analyses revealed a strong positive correlation between compassion fatigue and depression (r = 0.574, p < 0.001), a moderate positive correlation with anxiety (0.349, p < 0.001), and a strong positive correlation with stress (0.583, p < 0.001). Multiple regression analysis revealed that depression, stress, male gender, working as a nursing education specialist, and job dissatisfaction were variables significantly associated with compassion fatigue. Conclusion Based on these results, it is necessary to evaluate compassion fatigue in nurses in conjunction with psychological factors as well as individual and professional characteristics. Furthermore, it is important to support nurses' psychological health, develop strategies to address compassion fatigue, and increase individual resilience.
- MakaleYalnız künye2026Determination of the Effects of Virtual Reality-Based Videos on Symptoms, Vital Signs and Comfort in Hemodialysis Patients
Coşar, Dilan Aktepe; Bingöl, Nuray
Introduction: This pioneering study aimed to examine the effects of virtual reality (VR)-based videos on symptoms, vital signs, and comfort levels in hemodialysis patients, offering an innovative approach to improving their quality of life. Methods: This randomized controlled pretest-posttest study included 54 hemodialysis patients treated at “X” Hospital between June 2024 and May 2025. Twenty-five patients were assigned to the intervention group, 25 to the control group, and 4 to a pilot group. Data were collected at baseline and after 8 weeks. Statistical analyses included t-tests, repeated measures ANOVA, Mann–Whitney U, and Friedman tests. Results: In the intervention group, Dialysis Symptom Index (DSI) scores decreased significantly (p < 0.05), and comfort levels increased significantly (p < 0.05) across all subscales of the Hemodialysis Comfort Scale Version II. Vital signs remained within normal ranges before and after the intervention. Conclusion: This study revealed that the use of virtual reality headsets significantly influenced dialysis symptom index scores and comfort levels. The intervention effectively reduced dialysis symptoms and significantly increased patient comfort. No significant differences were observed in vital signs.
- MakaleYalnız künye2026Nurses' artificial intelligence anxiety levels, their attitudes towards artificial intelligence, and their skills in acting humanistically in nursing practices
Cin, Aynur; Coşar, Dilan Aktepe; Demirağ, Hatice
Aim This study aims to investigate the levels of artificial intelligence-related anxiety among nurses, their attitudes towards the use of AI in clinical settings, their ability to maintain humanistic approaches in nursing care, and the interrelationships among these variables. Design This study was designed as a descriptive and cross-sectional pilot study. Method The sample of the descriptive study consisted of 267 nurses working in X and Y hospitals in Gümüşhane province. The data of the research was collected between December 2023 and May 2024 using the “Nurse Introduction Form”, “Artificial Intelligence Anxiety Scale”, “General Attitude Scale towards Artificial Intelligence” and “Humanistic Practice Ability of Nursing”. Results Total “Artificial Intelligence Anxiety Scale” mean scores were found to be higher in nurses who were women, and had more than five years of working experience ( p < 0.05). It was determined that the total “General Attitude Scale Towards Artificial Intelligence” score averages of nurses working in surgical clinics were higher than those working in pediatric clinics ( p < 0.05). Positive “General Attitude Scale Towards Artificial Intelligence” mean scores were higher in nurses who had a postgraduate degree, worked in a surgical clinic, and had five years or less experience ( p < 0.05). Again, the total mean of the “ Humanistic Practice Ability of Nursing “ was higher in nurses who had a bachelor's degree or less, and worked in management and surgery clinics ( p < 0.05). Conclusion It was found that nurses' artificial intelligence anxiety, general attitudes towards artificial intelligence, and ability to act humanistally varied according to some sociodemographic characteristics.