The Relationship Between Resilience and the Intention to Leave Among Staff Nurses at Governmental Hospitals in the Al-Baha Region of Saudi Arabia.

Background Nurses with high intent to leave can cause substantial problems for healthcare organizations, such as staffing shortages and higher expenses due to hiring and onboarding new nurses. In light of the increasing demands placed on nurses in understaffed and overloaded healthcare systems, nurses frequently face various pressures and difficulties in their field of work, including high workloads, irregular hours, complicated patients, and infectious disease exposure; resilience is critical for handling stress and hardship at work. Nurses will thus retain their jobs for longer. This study aimed to determine the relationship between resilience and the intention to leave among staff nurses. Methods This study utilized a quantitative, cross-sectional correlation design. It comprised three Saudi Ministry of Health-affiliated facilities in the Al-Baha region (King Fahad Hospital, Prince Mashari Hospital, and Mikhwah General Hospital). The study sample comprised nurses employed in critical areas and inpatient and outpatient hospital departments using convenience sampling and inclusion and exclusion criteria. An online questionnaire involving three sections was given out. The first part collected sociodemographic data, the second part included the Connor-Davidson Resilience Scale 25 (CD-RISC-25), and the third included the Anticipated Turnover Scale (ATS). Results This study found a moderate degree of intention to leave and resilience. Most participants in the survey held a bachelor's degree (75.8%), and around 87.1% of the sample consisted of women. About half of the sample (57.2%) were married; 67.6% of the participants were not Saudi nationals; and regarding the number of children, the majority (53.8%) were childless. Overall, 318 nurses working in acute and outpatient departments and critical regions participated. According to the study, 73.3% of the participants reported a moderate intention to quit, whereas 50.9% had moderate resilience. Similarly, a significant negative relationship was found between nurses' intention to leave and resilience. Conclusions In the current study, resilience has a statistically significant negative relationship with the nurses' intention to leave. Hospital management must consider the amount of work and the excessive work schedule to reduce nurses' intentions to leave. One way to do this is by assigning tasks to employees, minimizing their workload through flexible work schedules and shorter duty hours, and fostering teamwork among coworkers by ensuring clear communication and cooperation. Interventions like orientation programs for new nurses, regular meetings, seminars, and training sessions can improve nurse resilience.