IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i21p11720-d674431.html
   My bibliography  Save this article

Predictors of Burnout in Hospital Health Workers during the COVID-19 Outbreak in South Korea

Author

Listed:
  • Chang-Ho Jihn

    (Department of Industrial and Management Systems Engineering, Kyung Hee University, Yongin 17104, Korea
    Co-first author, these authors contributed equally to this work.)

  • Bokyoung Kim

    (Department of Nursing, Catholic Kwandong University, Gangneung 25601, Korea
    Co-first author, these authors contributed equally to this work.)

  • Kue Sook Kim

    (Health Care Center, Seoul Metropolitan Dong Bu Hospital, Seoul 02584, Korea)

Abstract

This study aimed to identify the factors that influence the components of burnout—emotional exhaustion (EE), depersonalization (DP), and personal accomplishment (PA)—among hospital health workers, including doctors and nurses, during the COVID-19 pandemic. We analyzed 200 healthcare workers’ responses to the Employee Health Promotion Survey conducted at a general hospital in Seoul with over 200 hospital beds. The questionnaire included items about COVID-19-related burnout and its influencing factors. We performed three different multiple regression analyses using EE, DP, and PA as the dependent variables. The results show that sex, marital status, workload of treating suspected COVID-19 patients, fear of COVID-19 infection, anxiety, and depression predicted EE. The predictors of DP were job category, consecutive months of work in the current department, satisfaction with work environment, anxiety, and depression. The predictors of PA were the workload of directly interacting with patients, socioeconomic status, and job stress. For EE and DP, burnout was found to be worse in doctors and nurses than in other health workers; moreover, burnout was worse among nurses than among doctors across all three aspects of burnout. The findings can be used to establish tailored policies to address each burnout component.

Suggested Citation

  • Chang-Ho Jihn & Bokyoung Kim & Kue Sook Kim, 2021. "Predictors of Burnout in Hospital Health Workers during the COVID-19 Outbreak in South Korea," IJERPH, MDPI, vol. 18(21), pages 1-17, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11720-:d:674431
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/21/11720/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/21/11720/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Monia Vagni & Valeria Giostra & Tiziana Maiorano & Giuliano Santaniello & Daniela Pajardi, 2020. "Personal Accomplishment and Hardiness in Reducing Emergency Stress and Burnout among COVID-19 Emergency Workers," Sustainability, MDPI, vol. 12(21), pages 1-18, October.
    2. Jinhee Kim & Suhyun Kim, 2021. "Nurses’ Adaptations in Caring for COVID-19 Patients: A Grounded Theory Study," IJERPH, MDPI, vol. 18(19), pages 1-17, September.
    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.
    4. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-858, May.
    5. Luca A Morgantini & Ushasi Naha & Heng Wang & Simone Francavilla & Ömer Acar & Jose M Flores & Simone Crivellaro & Daniel Moreira & Michael Abern & Martin Eklund & Hari T Vigneswaran & Stevan M Weine, 2020. "Factors contributing to healthcare professional burnout during the COVID-19 pandemic: A rapid turnaround global survey," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-11, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mao-Hung Liao & Ying-Ching Lai & Chih-Ming Lin, 2022. "Cardiovascular Risk Factors in Hospital Workers during the COVID-19 Pandemic: A Hospital-Based Repeated Measures Study," IJERPH, MDPI, vol. 19(23), pages 1-11, December.
    2. Iasmina Iosim & Patricia Runcan & Virgil Dan & Bogdan Nadolu & Remus Runcan & Magdalena Petrescu, 2021. "The Role of Supervision in Preventing Burnout among Professionals Working with People in Difficulty," IJERPH, MDPI, vol. 19(1), pages 1-15, December.
    3. Veronica Benincasa & Maria Passannante & Filippo Perrini & Luna Carpinelli & Giuseppina Moccia & Tiziana Marinaci & Mario Capunzo & Concetta Pironti & Armando Genovese & Giulia Savarese & Francesco De, 2022. "Burnout and Psychological Vulnerability in First Responders: Monitoring Depersonalization and Phobic Anxiety during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(5), pages 1-9, February.

    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. Anna Nyberg & Kristiina Rajaleid & Ingrid Demmelmaier, 2022. "The Work Environment during Coronavirus Epidemics and Pandemics: A Systematic Review of Studies Using Quantitative, Qualitative, and Mixed-Methods Designs," IJERPH, MDPI, vol. 19(11), pages 1-48, June.
    2. Matteo Mogliani, 2010. "Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study," Working Papers halshs-00564897, HAL.
    3. Cho, Guedae & Kim, MinKyoung & Koo, Won W., 2003. "Relative Agricultural Price Changes In Different Time Horizons," 2003 Annual meeting, July 27-30, Montreal, Canada 22249, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Berkowitz, J. & Birgean, I. & Kilian, L., 1999. "On the Finite-Sample Accuracy of Nonparametric Resampling Algorithms for Economic Time Series," Papers 99-01, Michigan - Center for Research on Economic & Social Theory.
    5. Marcelo Fernandes & Breno Neri, 2010. "Nonparametric Entropy-Based Tests of Independence Between Stochastic Processes," Econometric Reviews, Taylor & Francis Journals, vol. 29(3), pages 276-306.
    6. Cavit Pakel & Neil Shephard & Kevin Sheppard, 2009. "Nuisance parameters, composite likelihoods and a panel of GARCH models," Economics Papers 2009-W12, Economics Group, Nuffield College, University of Oxford.
    7. Antonia López Villavicencio & Josep Lluís Raymond Bara, 2006. "The short and long-run determinants of the real exchange rate in Mexico," Working Papers wpdea0606, Department of Applied Economics at Universitat Autonoma of Barcelona.
    8. Gruener Hans Peter & Hayo Bernd & Hefeker Carsten, 2009. "Unions, Wage Setting and Monetary Policy Uncertainty," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-25, October.
    9. Paulo M. D. C. Parente & Richard J. Smith, 2021. "Quasi‐maximum likelihood and the kernel block bootstrap for nonlinear dynamic models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 377-405, July.
    10. Arturo Estrella & Anthony P. Rodrigues, 1998. "Consistent covariance matrix estimation in probit models with autocorrelated errors," Staff Reports 39, Federal Reserve Bank of New York.
    11. PAUL CASHIN & C. JOHN McDERMOTT, 1998. "Are Australia's Current Account Deficits Excessive?," The Economic Record, The Economic Society of Australia, vol. 74(227), pages 346-361, December.
    12. Wagner, Martin & Wied, Dominik, 2014. "Monitoring Stationarity and Cointegration," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100386, Verein für Socialpolitik / German Economic Association.
    13. Paul Cashin & C. McDermott, 2002. "Terms of Trade Shocks and the Current Account: Evidence from Five Industrial Countries," Open Economies Review, Springer, vol. 13(3), pages 219-235, July.
    14. Hansen, Lars Peter & Heaton, John & Luttmer, Erzo G J, 1995. "Econometric Evaluation of Asset Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 8(2), pages 237-274.
    15. Julia Reynolds & Leopold Sögner & Martin Wagner, 2021. "Deviations from Triangular Arbitrage Parity in Foreign Exchange and Bitcoin Markets," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(2), pages 105-146, June.
    16. Cavit Pakel & Neil Shephard & Kevin Sheppard & Robert F. Engle, 2021. "Fitting Vast Dimensional Time-Varying Covariance Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(3), pages 652-668, July.
    17. Stephen G Cecchetti & Alfonso Flores-Lagunes & Stefan Krause, 2005. "Assessing the Sources of Changes in the Volatility of Real Growth," RBA Annual Conference Volume (Discontinued), in: Christopher Kent & David Norman (ed.),The Changing Nature of the Business Cycle, Reserve Bank of Australia.
    18. Zeynel Abidin Ozdemir, 2010. "Dynamics Of Inflation, Output Growth And Their Uncertainty In The Uk: An Empirical Analysis," Manchester School, University of Manchester, vol. 78(6), pages 511-537, December.
    19. Vasco Gabriel, 2003. "Tests for the Null Hypothesis of Cointegration: A Monte Carlo Comparison," Econometric Reviews, Taylor & Francis Journals, vol. 22(4), pages 411-435.
    20. Hoga, Yannick, 2017. "Monitoring multivariate time series," Journal of Multivariate Analysis, Elsevier, vol. 155(C), pages 105-121.

    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:18:y:2021:i:21:p:11720-:d:674431. 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.