5
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Burnout among Nurses: A Bibliometric Analysis of the Global Publications

      research-article

      Read this article at

          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objective

          To investigate the current situation, trending subjects, and future directions in the field of burnout among nurses, and to serve as a resource for researchers conducting related research.

          Methods

          The bibliometric analysis was carried out using R package “bibliometrix”, bibliometric online analysis platform ( https://bibliometric.com/ ) and VOSviewer (1.6.18).

          Results

          The leading countries that had a significant impact on this field were the USA and China. University of Pennsylvania was the most influential institution. Journal of Nursing Management was the top productive journal. Critical care, oncology care, acute care, and infectious disease care were more likely to lead to symptoms of burnout among nurses. “Mental health”, “job satisfaction”, “stress”, and “COVID-19” were the current hot topics in this field.

          Conclusion

          Our study not only provides a thorough outline to assist researchers in understanding the leading countries, institutions, journals, and potential collaborators, but it also examines the current and upcoming trends in this field and inspires researchers to select research directions.

          Related collections

          Most cited references64

          • Record: found
          • Abstract: not found
          • Article: not found

          Using thematic analysis in psychology

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

              Bookmark
              • Record: found
              • Abstract: found
              • Book: not found

              Statistical Power Analysis for the Behavioral Sciences

              <i>Statistical Power Analysis</i> is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: <br> * a chapter covering power analysis in set correlation and multivariate methods;<br> * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;<br> * expanded power and sample size tables for multiple regression/correlation.<br>
                Bookmark

                Author and article information

                Journal
                Psychol Res Behav Manag
                Psychol Res Behav Manag
                prbm
                Psychology Research and Behavior Management
                Dove
                1179-1578
                23 April 2024
                2024
                : 17
                : 1727-1739
                Affiliations
                [1 ]First Department of Foot and Ankle Surgery, Tianjin Hospital, Tianjin University , Tianjin, People’s Republic of China
                [2 ]Emergency Department, Tianjin Haihe Hospital , Tianjin, People’s Republic of China
                [3 ]Administration Department, Tianjin Hospital, Tianjin University , Tianjin, People’s Republic of China
                [4 ]School of Nursing, Tianjin University of Traditional Chinese Medicine , Tianjin, People’s Republic of China
                [5 ]Nursing Department, Tianjin Hospital, Tianjin University , Tianjin, People’s Republic of China
                Author notes
                Correspondence: Fei Xie, Email 15265827878@163.com
                [*]

                These authors contributed equally to this work

                Article
                458199
                10.2147/PRBM.S458199
                11055547
                38681974
                75ca20df-21d6-465e-b17a-de900310e8ce
                © 2024 Yang et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 13 February 2024
                : 17 April 2024
                Page count
                Figures: 7, Tables: 4, References: 64, Pages: 13
                Funding
                Funded by: This work was supported by Tianjin Nursing Association in 2023 Research Project (No.tjhlky2023QN05);
                This work was supported by Tianjin Nursing Association in 2023 Research Project (No.tjhlky2023QN05).
                Categories
                Original Research

                Clinical Psychology & Psychiatry
                burnout,nurse,mental health,covid-19,hotspots,trends
                Clinical Psychology & Psychiatry
                burnout, nurse, mental health, covid-19, hotspots, trends

                Comments

                Comment on this article