The Relationship between Resilience and Nurse Burnout: Causes, Impacts, and Strategies to Reduce Emotional Exhaustion
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Abstract
Background: Emotional weariness, depersonalization, and a weakened sense of personal success are the hallmarks of nurse burnout, a widespread problem in healthcare systems around the world. The well-being of nurses, patient safety, and the general effectiveness of healthcare delivery are all significantly impacted by this occurrence. Resilience, or the capacity to adjust and bounce back from adversity, has become a crucial mitigating element, even when burnout is caused by things like heavy workloads, a lack of support, and emotional labor. Designing successful solutions that address organizational and individual difficulties requires an understanding of how burnout and resilience interact.
Aim: This research is to examine the complex relationship between resilience and nurse burnout, pinpoint the main causes of burnout, and assess evidence-based tactics for building resilience in nursing professionals.
Methods: A mixed-methods approach was used, which included qualitative interviews with nurses in various healthcare settings, a systematic review of recent research, and an assessment of interventions meant to improve resilience and lessen burnout. The influence of team-based, individual, and organizational tactics was the main focus of quantitative data analysis.
Results: The results show that a lack of emotional support, an excessive workload, and inadequate staffing are the main causes of burnout among nurses. Burnout symptoms are considerably lessened by resilience-building techniques like flexible scheduling, peer support groups, and mindfulness training. The culture and leadership of the organization are crucial to the continuation of resilience-building programs.
Conclusion: addressing nursing burnout necessitates a thorough strategy that incorporates interventions at the individual, organizational, and policy levels. To ensure high-quality patient care and enhance nurses' well-being, resilience building is essential. Future studies should concentrate on creative, scalable solutions, such as AI-based early detection systems and digital tools.