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Background: The resilience of healthcare workers has gained increasing attention, yet comprehensive studies focusing on recent trends and developments are scarce. We conducted an extensive bibliometric analysis from inception to 2023 to address this gap. Methods: Publications on healthcare workers' resilience were extracted from the Web of Science Core Collection database. Bibliometric analysis was conducted with CiteSpace, VOSviewer, and Scimago Graphica, focusing on annual publications, country/region, institution, journal, author, keyword analysis, and reference co-citation analysis related to resilience in healthcare workers. Results: The analysis included 750 documents, revealing a general upward trend in publications across 67 countries/regions, 1,251 institutions, and 3,166 authors. The USA and China emerged as the top contributors, with 192 and 168 publications, respectively. Based on keyword analysis and reference co-citation analysis, the focus areas include the Resilience Scale, the impact of the COVID-19 pandemic on HCWs and their resilience, and nurse resilience. Conclusion: This study highlights the growing interest in healthcare workers' resilience by using bibliometric and visualization techniques for effective analysis. This paper will enhance scholars' understanding of the dynamic evolution of healthcare workers' resilience and identify emerging research topics.
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INTRODUCTION: High levels of burnout are prevalent among Emergency Department staff due to chronic exposure to job stress. There is a lack of knowledge about anteceding factors and outcomes of burnout in this population. AIMS: To provide a comprehensive overview of burnout and identify its workplace antecedents and outcomes among Emergency Department staff. METHODS: The scoping study will follow the methodology outlined by the Joanna Briggs Institute. PubMed, Scopus, Web of Science, APA PsycInfo, and CINAHL databases will be searched using predefined strategies. Two reviewers will screen the title, abstract and full text separately based on the eligibility criteria. Data will be charted, coded, and narratively synthesized based on the job demands-resources model. CONCLUSION: The results will provide insights into the underlying work-related factors contributing to burnout and its implications for individuals, healthcare organizations, and patient care.