Sürdürülebilir Kalkınma Amaçları

• 3
• 2
• 1

• MakaleAçık Erişim2026/r/gumushane/12248
  Nurses’ Workplace Discrimination Experiences and Their Reflections on Career Development: A Qualitative Study

  Koroglu Kaba, Nagihan; Apaydin, Emine; Kulakaç, Nurşen

  Aim: This study was conducted to examine how nurses experience discriminatory behaviors in the workplace and how these experiences are reflected in their career development. Background: Although discrimination constitutes a significant challenge in nurses’ professional lives, qualitative research examining how these experiences influence their career development processes remains limited. Methods: This phenomenological study was conducted with nurses working in a public hospital in Turkey. Semi-structured individual interviews were conducted with 21 nurses during the study. Participants were selected from various clinical settings through purposive sampling. Data were analyzed using Colaizzi's seven-step content analysis method. Ethics committee approval was obtained for this study. The Consolidated Criteria for Reporting Qualitative Research checklist guided the study reporting. Results: Five main themes with seven subthemes emerged: (1) Discrimination Experiences (types of discrimination, sources of discrimination, emotions/feelings), (2) Reporting Behavior (decision and consequences of reporting, reasons for not reporting), (3) Impact of Discrimination on Career Development (supportive effect, hindering effect), (4) Coping Strategies, and (5) Suggestions for Preventing Discrimination. Discussion: These themes highlight that discrimination is a multidimensional phenomenon and that holistic approaches must be developed at emotional, structural, professional, and institutional levels to cope with it. Conclusion: For some nurses, discrimination acts as a transformative process that supports career development, while for others, it represents a significant barrier to professional advancement. Implications for Nursing/Nursing Policy: The findings highlight the need to strengthen reporting mechanisms, establish a supportive work culture, and implement inclusive institutional policies that promote career development.

  • 
  • 
  • 
  İncele
• MakaleAçık Erişim2025/r/gumushane/14004
  Investigation of the relationship between attitudes toward migration and life satisfaction of nurses working in Turkey

  Tuncer, Metin; Tuncer, Gülsüm Zekiye; Turan, Şeyma; Khorshtd, Leyla

  Background: Nurse migration contributes to the nursing shortage in developing countries. Understanding nurses' attitudes toward migration and related factors is crucial for policy-making and healthcare workforce planning in Turkey. Aim: This study aimed to investigate the relationship between nurses' attitudes toward migration and their life satisfaction in Turkey. Methods: The study included working nurses with social media accounts on a social media platform in Turkey who followed nursing-related content. A sample of 423 nurses completed an online survey. Independent variables included nurses' sociodemographic characteristics and inclination toward migration, while dependent variables were life satisfaction and migration attitude levels. Data were collected via an online questionnaire, incorporating the Brain Drain Attitude Scale (BDAS) and Life Satisfaction Scale (LSS), between April and May 2023. Results: The study found a negative correlation between nurses' life satisfaction levels and their attitudes toward migration (r = −.349, p <.001). Nurses dissatisfied with their profession (F = 6.575, p <.05), lacking professional support (F = 8.641, p <.05), and lacking social support (F = 6.307, p <.05) scored higher on the BDAS. Conversely, those satisfied with their profession (F = 31.455, p <.05), receiving professional support (F = 26.307, p <.05), and social support (F = 33.990, p <.05) scored higher on the LSS. Conclusion and implications for nursing: The study revealed that decreased life satisfaction among nurses in Turkey correlates with increased migration attitudes. These results underscore the need for strategies to enhance nurses' job satisfaction and support systems to mitigate migration tendencies. This study contributes valuable insights into the high inclination of Turkish nurses toward emigration.

  • 
  • 
  İncele
• MakaleAçık Erişim2025/r/gumushane/13905
  Evaluation of ChatGPT-4, Gemini, Claude, and Copilot in Generating Nursing Diagnoses Based on NANDA-I Taxonomy II: A Comparative Cross-Sectional Study

  Tuncer, Metin; Yalcinkaya, Turgay

  Aim: To evaluate the capability of large language models to generate nursing diagnoses based on NANDA-I Taxonomy II and assess their performance across domains and overall. Background: Large language models are emerging tools in nursing, showing potential to aid in diagnosis generation and education. However, their accuracy and applicability in clinical and educational settings remain underexplored. Methods: This cross-sectional comparative study used 10 realistic patient scenarios based on NANDA-I Taxonomy II, covering 12 domains. The study aimed to evaluate the capability of four models to generate nursing diagnoses based on patient scenarios. The responses were assessed by five nursing experts for accuracy and alignment with NANDA-I Taxonomy II in a single-blind evaluation process. Results: All models demonstrated similar performance across different domains and overall, with Claude attaining the highest overall performance score. Expert evaluations indicated moderate interrater reliability. Discussion: Small variations between models and occasional omissions suggest that expert review is still required before clinical use. Conclusions: Large language models are not yet sufficiently reliable for independent use in clinical settings and nursing education. Their application as supportive tools necessitates a cautious approach. Moreover, the development of specialized models designed to address the unique demands of the nursing field would be advantageous. Implications for nursing: When large language models are used in nursing practice, their limitations should be considered, and the outputs they produce should be verified by nurses. Implications for nursing policy: Ensuring the safe integration of artificial intelligence tools into nursing necessitates the establishment of robust regulatory policies to safeguard patient safety, the deployment of effective systems to monitor models’ performance, and the development of comprehensive guidelines and training programs.

  • 
  İncele