IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i18p9763-d637212.html
   My bibliography  Save this article

A Path Model for Burnout in Community Mental Health Professionals

Author

Listed:
  • Jin-Joo Chang

    (College of Nursing Science, Kyung Hee University, Seoul 02447, Korea)

  • Sung-Hee Shin

    (College of Nursing Science, Kyung Hee University, Seoul 02447, Korea)

Abstract

The purpose of this research is to identify a path model to explain burnout in community mental health professionals based on the compassion satisfaction–compassion fatigue (CS-CF) model. A total of 125 mental health professionals, including nurses, social professionals, and psychologists working in mental health welfare centers in various regions across South Korea were surveyed using a structured questionnaire. A path analysis was conducted using SPSS 24.0 and AMOS 24.0. The results showed that compassion satisfaction and compassion fatigue are significant predictors of burnout (β = −0.20, p = 0.011; β = 0.40, p < 0.001, respectively). The indirect pathways associated with burnout included occupational stress (β = 0.21, p = 0.021) and experience with aggressive behavior in the workplace (β = 0.33, p = 0.004) through maladaptive cognitive emotion regulation and compassion satisfaction. The total effect of the variables on burnout via compassion fatigue and compassion satisfaction explained 62.5% of burnout among mental health professionals. These findings indicate that providing nursing interventions might reduce compassion fatigue and increase compassion satisfaction to reduce burnout. Furthermore, intervention programs that help to reduce the use of maladaptive cognitive emotion regulation strategies are necessary to effectively reduce burnout in mental health professionals.

Suggested Citation

  • Jin-Joo Chang & Sung-Hee Shin, 2021. "A Path Model for Burnout in Community Mental Health Professionals," IJERPH, MDPI, vol. 18(18), pages 1-16, September.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:18:p:9763-:d:637212
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/18/9763/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/18/9763/
    Download Restriction: no
    ---><---

    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:18:p:9763-:d:637212. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.