Emotional labour in nursing research: A bibliometric analysis.

Abstract

This study aims to conduct a comprehensive bibliometric analysis to explore the trajectory and thematic developments of emotional labour research in nursing. Utilizing descriptive and bibliometric analysis techniques. The data analysis and graphical presentation were conducted using the Bibliometrix Package in R software. The Web of Science Core Collection (WoSCC) database was searched on October 20, 2023. From 1992 to 2023, 842 authors published relevant articles, yielding 779 author keywords. There has been a general upward trend in the number of articles published over the past 30 years, with an annual growth rate of 11.71%. Keyword co-occurrence cluster analysis revealed the main focus areas of research on emotional labour antecedents and consequences, regulatory modalities, training and education, as well as research methods and application scenarios. Emotional labour significantly influences nursing staff's well-being and patient care outcomes. Effective management and education regarding emotional labour are crucial for enhancing nursing staff performance and patient care quality. Future research should focus on long-term effects, training efficacy, regulatory strategies across clinical settings, and innovative approaches to address current challenges. This study provides valuable insights into the unique trajectory and thematic developments of emotional labour research in nursing. The findings underscore the importance of addressing emotional labour in nursing practice and education to improve patient care outcomes and nursing staff well-being. Adherence to recognized bibliometric reporting methods, following relevant EQUATOR guidelines. This study is based solely on existing literature and did not involve patients or the public in its design, conduct, analysis, interpretation, or preparation.