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The Relationship between Job-Person Fit and Burnout in Community Mental Health Workers -- A Quantitative Case Study
- Source :
-
ProQuest LLC . 2023Ph.D. Dissertation, The University of Toledo. - Publication Year :
- 2023
-
Abstract
- Mental health professionals working in community mental health agencies are at high risk for burnout. The impact of this may lead to poor health and wellbeing of the employee, costly resources for the agency that continues to struggle with staff turnover, inconsistent service delivery and potentially poorer patient outcomes. The purpose of this quantitative study is to determine whether a significant relationship exists between the components of burnout; Emotional Exhaustion, Depersonalization, and reduced Personal Accomplishment and the job-person fit defined by the six areas of Worklife; Workload, Control, Community, Rewards, Fairness, and Values. This was a non-experimental, cross-sectional study of counselors, social workers, psychologists, nurses, non-licensed case managers and chemical dependency counseling assistants from a community mental health agency in Northwest Ohio. Participants were contacted via email to complete a demographic survey, the Maslach Burnout Inventory -- Human Services Survey (Maslach et al., 2018), and the Areas of Worklife Survey (Leiter & Maslach, 2011). Pearson's correlations were run to determine relationship between these variables at p [less than or equal to] 05 level. Results can be utilized to fill a gap on the predictors of burnout in this population and specific setting. From these results, targeted interventions to reduce/prevent burnout in mental health worker can be suggested. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
Details
- Language :
- English
- ISBN :
- 979-83-8318-591-9
- ISBNs :
- 979-83-8318-591-9
- Database :
- ERIC
- Journal :
- ProQuest LLC
- Publication Type :
- Dissertation/ Thesis
- Accession number :
- ED659130
- Document Type :
- Dissertations/Theses - Doctoral Dissertations