IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i19p12914-d936802.html
   My bibliography  Save this article

Burnout in Intensive Care Nurses during the COVID-19 Pandemic: A Scoping Review on Its Prevalence and Risk and Protective Factors

Author

Listed:
  • Ferdinando Toscano

    (Department of Psychology, University of Bologna, 40127 Bologna, Italy)

  • Francesco Tommasi

    (Department of Human Sciences, University of Verona, 37129 Verona, Italy)

  • Davide Giusino

    (Department of Psychology, University of Bologna, 40127 Bologna, Italy)

Abstract

Background: The COVID-19 pandemic has strained hospitals and healthcare workers engaged in combating the virus with limited knowledge and resources. Intensive care unit (ICU) nurses are among the healthcare workers most affected by the pandemic and are at risk for developing burnout syndrome. Objective: The present study aims to explore burnout symptoms prevalence among ICU nurses and to identify the individual, organizational, and contextual risk, and protective factors of burnout in ICU nurses during the COVID-19 pandemic. Methods: A scoping review was conducted by searching PubMed, Scopus, and Web of Science. Only papers with empirical data and referred to ICU nurses were included. A total of 350 initial results were yielded, and 40 full texts were screened. Twelve papers constituted the final sample in the analysis. Results: High levels of symptoms of burnout (emotional exhaustion, depersonalization, and reduced personal accomplishment) were registered among ICU nurses during the COVID-19 pandemic. Increased workload, lack of equipment, social stigma, and fear of contagion emerged as key risk factors. Social support from leaders and colleagues, professional recognition, use of personal protective tools, and witnessing patients’ successful recovery emerged as major protective factors. Conclusions: The results may inform the development of timely actions to counter burnout in ICU nurses during this COVID-19 pandemic and in a post-COVID-19 scenario.

Suggested Citation

  • Ferdinando Toscano & Francesco Tommasi & Davide Giusino, 2022. "Burnout in Intensive Care Nurses during the COVID-19 Pandemic: A Scoping Review on Its Prevalence and Risk and Protective Factors," IJERPH, MDPI, vol. 19(19), pages 1-16, October.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12914-:d:936802
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/19/12914/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/19/12914/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    2. Nicola Magnavita & Francesco Chirico & Sergio Garbarino & Nicola Luigi Bragazzi & Emiliano Santacroce & Salvatore Zaffina, 2021. "SARS/MERS/SARS-CoV-2 Outbreaks and Burnout Syndrome among Healthcare Workers. An Umbrella Systematic Review," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
    3. Maria Rosaria Gualano & Tiziana Sinigaglia & Giuseppina Lo Moro & Stefano Rousset & Agnese Cremona & Fabrizio Bert & Roberta Siliquini, 2021. "The Burden of Burnout among Healthcare Professionals of Intensive Care Units and Emergency Departments during the COVID-19 Pandemic: A Systematic Review," IJERPH, MDPI, vol. 18(15), pages 1-17, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Katherine Petrie & Natasha Smallwood & Amy Pascoe & Karen Willis, 2022. "Mental Health Symptoms and Workplace Challenges among Australian Paramedics during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(2), pages 1-15, January.
    2. Lutz Bornmann & Robin Haunschild & Sven E. Hug, 2018. "Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 427-437, February.
    3. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    4. Keeheon Lee, 2021. "A Systematic Review on Social Sustainability of Artificial Intelligence in Product Design," Sustainability, MDPI, vol. 13(5), pages 1-29, March.
    5. Biró, Tamás S. & Telcs, András & Józsa, Máté & Néda, Zoltán, 2023. "Gintropic scaling of scientometric indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    6. Nicola Magnavita & Paolo Maurizio Soave & Massimo Antonelli, 2021. "Prolonged Stress Causes Depression in Frontline Workers Facing the COVID-19 Pandemic—A Repeated Cross-Sectional Study in a COVID-19 Hub-Hospital in Central Italy," IJERPH, MDPI, vol. 18(14), pages 1-13, July.
    7. Juan Miguel Campanario, 2018. "Are leaders really leading? Journals that are first in Web of Science subject categories in the context of their groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 111-130, April.
    8. Рубинштейн Александр Яковлевич, "undated". "Ранжирование Российских Экономических Журналов: Научный Метод Или «Игра В Цыфирь»? [Ran Ranking of Russian Economic Journals: The Scientific Method or “Numbers Game”?]," Working papers a:pru175:ye:2016:1, Institute of Economics.
    9. Mohadab, Mohamed El & Bouikhalene, Belaid & Safi, Said, 2020. "Bibliometric method for mapping the state of the art of scientific production in Covid-19," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    10. Matthias Aistleitner & Jakob Kapeller & Stefan Steinerberger, 2018. "Citation Patterns in Economics and Beyond," Working Papers Series 85, Institute for New Economic Thinking.
    11. Reparata Rosa Di Prinzio & Giorgia Bondanini & Federica De Falco & Maria Rosaria Vinci & Vincenzo Camisa & Annapaola Santoro & Marcello De Santis & Massimiliano Raponi & Guendalina Dalmasso & Salvator, 2022. "The Management of Workplace Violence against Healthcare Workers: A Multidisciplinary Team for Total Worker Health ® Approach in a Hospital," IJERPH, MDPI, vol. 20(1), pages 1-10, December.
    12. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Costa, 2023. "Correlating article citedness and journal impact: an empirical investigation by field on a large-scale dataset," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1877-1894, March.
    13. Fabian Scheidegger & Andre Briviba & Bruno S. Frey, 2023. "Behind the curtains of academic publishing: strategic responses of economists and business scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4765-4790, August.
    14. Maria Rosaria Gualano & Tiziana Sinigaglia & Giuseppina Lo Moro & Stefano Rousset & Agnese Cremona & Fabrizio Bert & Roberta Siliquini, 2021. "The Burden of Burnout among Healthcare Professionals of Intensive Care Units and Emergency Departments during the COVID-19 Pandemic: A Systematic Review," IJERPH, MDPI, vol. 18(15), pages 1-17, August.
    15. Magdalena Mucowska, 2021. "Trends of Environmentally Sustainable Solutions of Urban Last-Mile Deliveries on the E-Commerce Market—A Literature Review," Sustainability, MDPI, vol. 13(11), pages 1-26, May.
    16. Rita Rodríguez‐Arrojo & Manuel Luna & Camilo J. Vázquez‐Ordás & Myriam García‐Olalla, 2024. "Mapping research on corporate misconduct in banking: Lessons from literature on preventive and punitive actions," Global Policy, London School of Economics and Political Science, vol. 15(S1), pages 62-75, March.
    17. Katchanov, Yurij L. & Markova, Yulia V., 2022. "Dynamics of senses of new physics discourse: Co-keywords analysis," Journal of Informetrics, Elsevier, vol. 16(1).
    18. Sergio Copiello, 2019. "Research Interest: another undisclosed (and redundant) algorithm by ResearchGate," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 351-360, July.
    19. Md Abu Helal & Nathaniel Anderson & Yu Wei & Matthew Thompson, 2023. "A Review of Biomass-to-Bioenergy Supply Chain Research Using Bibliometric Analysis and Visualization," Energies, MDPI, vol. 16(3), pages 1-32, January.
    20. Caputo, Andrea & Pizzi, Simone & Pellegrini, Massimiliano M. & Dabić, Marina, 2021. "Digitalization and business models: Where are we going? A science map of the field," Journal of Business Research, Elsevier, vol. 123(C), pages 489-501.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12914-:d:936802. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.