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Social and Organizational Predictors of Burnout Among Health Service Psychology Doctoral Students: An Application of the Job Demands-Resources Model

Eversmeyer, Alyssa
http://orcid.org/0000-0003-3698-5051
http://rave.ohiolink.edu/etdc/view?acc_num=akron1720639972974393

Abstract Details

2024, Doctor of Philosophy, University of Akron, Counseling Psychology.
Health service psychology (HSP) students are at a high risk of burnout and physical and mental health problems (El-Ghoroury et al., 2011; Rummell, 2015). Research has begun to explore environmental factors within training programs that cause or prevent burnout (e.g., Kovach Clark et al., 2009; Swords & Ellis, 2017). Using the Job Demands-Resources (JD-R) model of burnout (Bakker & Demerouti, 2017; Demerouti et al., 2001), the present study assessed the relationships between demands, resources, and burnout symptoms in a sample of HSP doctoral students. Structural equation modeling was used to test the JD-R model and compare the relative contributions of perceived workload, weekly work hours, sense of community, work environment, and relationships with academic advisors and clinical supervisors to students’ symptoms of exhaustion and disengagement. Analyses of variance were used to explore demographic group differences to better understand the experiences of diverse students, especially those with minoritized identities. Participants reported high levels of burnout symptoms, especially exhaustion. The hypothesized JD-R model, which contains unique and separate pathways representing the processes by which job demands sap energy and job resources promote engagement, did not yield interpretable parameters and thus was not a good fit to the data. However, an alternative model containing additional pathways between job demands and resources and burnout symptoms fit the data well and collectively predicted about half (50.8%) the variance in exhaustion and about a third (31.8%) of the variance in disengagement. The results demonstrated HSP doctoral students’ experiences of burnout are highly linked to environmental factors. High demands impair students’ health and create exhaustion, while lacking resources impair motivation and create disengagement. Perceived workload, sense of community, and the work environment had the largest effects on burnout symptoms, followed by the advisory relationship, weekly work hours, and the supervisory relationship. Students with marginalized racial or ethnic identities reported greater exhaustion and disengagement. Lower SES students reported more exhaustion, less sense of community, and less perceived support from the work environment. Strengths and limitations of the study, implications for research and training, and specific recommendations for reducing burnout and promoting well-being will be discussed.
Margo Gregor (Advisor)
Joelle Elicker (Committee Member)
Ingrid Weigold (Committee Member)
Varunee Faii Sangganjanavanich (Committee Member)
John Queener (Committee Member)
221 p.
Clinical Psychology; Counseling Psychology; Education; Health Sciences; Multicultural Education; Occupational Health; Psychology; School Counseling
burnout; exhaustion; disengagement; health service psychology; training; graduate education; doctoral student; counseling psychology; clinical psychology; school psychology; Job Demands-Resources; workload; work hours; sense of community; work environment; advising; supervision; social support

Recommended Citations

Citations

  • Eversmeyer, A. (2024). Social and Organizational Predictors of Burnout Among Health Service Psychology Doctoral Students: An Application of the Job Demands-Resources Model [Doctoral dissertation, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1720639972974393

    APA Style (7th edition)

  • Eversmeyer, Alyssa. Social and Organizational Predictors of Burnout Among Health Service Psychology Doctoral Students: An Application of the Job Demands-Resources Model. 2024. University of Akron, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1720639972974393.

    MLA Style (8th edition)

  • Eversmeyer, Alyssa. "Social and Organizational Predictors of Burnout Among Health Service Psychology Doctoral Students: An Application of the Job Demands-Resources Model." Doctoral dissertation, University of Akron, 2024. http://rave.ohiolink.edu/etdc/view?acc_num=akron1720639972974393

    Chicago Manual of Style (17th edition)

akron1720639972974393
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© 2024, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.