Zhang Yangchun, Zhang Li, Huang Xihua, Cao Hengchang, Ma Na, Wang Pengcheng, Ji Xueli
Emergency Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
J Adv Nurs. 2025 Jan;81(1):316-328. doi: 10.1111/jan.16233. Epub 2024 May 13.
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.
本研究旨在进行全面的文献计量分析，以探索护理领域中情绪劳动研究的轨迹和主题发展。
采用描述性和文献计量分析技术。
使用R软件中的Bibliometrix软件包进行数据分析和图形展示。
于2023年10月20日检索了Web of Science核心合集（WoSCC）数据库。
1992年至2023年期间，842位作者发表了相关文章，共产生779个作者关键词。在过去30年中，发表的文章数量总体呈上升趋势，年增长率为11.71%。关键词共现聚类分析揭示了情绪劳动的前因后果、调节方式、培训与教育以及研究方法和应用场景等主要研究重点领域。
情绪劳动对护理人员的幸福感和患者护理结果有显著影响。对情绪劳动进行有效的管理和教育对于提高护理人员的绩效和患者护理质量至关重要。未来的研究应关注长期影响、培训效果、跨临床环境的调节策略以及应对当前挑战的创新方法。
本研究为护理领域情绪劳动研究的独特轨迹和主题发展提供了有价值的见解。研究结果强调了在护理实践和教育中应对情绪劳动以改善患者护理结果和护理人员幸福感的重要性。
遵循公认的文献计量报告方法，遵循相关的EQUATOR指南。
本研究完全基于现有文献，在设计、实施、分析、解释或准备过程中未涉及患者或公众。
