Revue des sciences de la santé

  • ISSN: 1108-7366
  • Indice h du journal: 51
  • Note de citation du journal: 10.69
  • Facteur d’impact du journal: 9.13
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Abstrait

Burnout and Intention to Leave Among Public Health Nurses in Jordan: A Cross-Sectional Study

Enas K Salameh, Anwer Khader Abdallah Alta’any and Nooh Adel Mostafa Alkhateeb*

Background: Burnout and the intention to leave are significant challenges in the nursing profession, particularly among public health nurses who face high levels of job-related stress.

Aim: This study aimed to assess the levels of burnout and intention to leave among public health nurses in Jordan and to explore the relationship between these variables.

Methods: A cross-sectional study was conducted with 350 public health nurses from various healthcare settings across Jordan. Data were collected using a structured questionnaire that included the Maslach Burnout Inventory (MBI) to measure burnout and a standardized scale to assess the intention to leave. Descriptive statistics were used to summarize the sociodemographic characteristics, burnout levels, and intention to leave scores. Pearson’s correlation was used to examine the relationships between burnout dimensions (Emotional Exhaustion, Depersonalization, and Personal Accomplishment) and intention to leave.

Results: The results indicated that 51.4% of the nurses experienced moderate levels of emotional exhaustion, 45.7% reported moderate levels of depersonalization, and 45.7% had moderate levels of personal accomplishment. The overall intention to leave was high, with a mean total score of 18.6 (SD = 2.3). Correlation analysis revealed weak, non- significant relationships between burnout dimensions and intention to leave, suggesting that other factors may also contribute to the decision to leave.

Conclusion: The study highlights the substantial prevalence of burnout and a high intention to leave among public health nurses in Jordan. While burnout is a critical issue, the weak correlations between burnout and intention to leave suggest that additional factors influence turnover intentions.

Avertissement: Ce résumé a été traduit à l'aide d'outils d'intelligence artificielle et n'a pas encore été examiné ni vérifié