BACKGROUND AND OBJECTIVES: Research into the rates of burnout among nonclinical workers is nonexistent at medical education centers (MECs). The first goal of this study was to explore the prevalence of burnout among nonclinical faculty and staff working at a local MEC. The second goal was to identify predictors of burnout using job satisfaction dimensions-supervision, coworkers, contingency rewards, and nature of work. METHODS: The study included a convenience sample of 95 nonclinical faculty and staff working at a local MEC. Data from these workers were collected between December 2016 and January 2017. The Abbreviated Maslach Burnout Inventory (AMBI) was used to measure burnout while a modified Spector's Job Satisfaction Survey (JSS) was used to measure participants' job satisfaction. The authors correlated the dimensions of the AMBI and JSS. They also conducted multiple regression analysis using the four dimensions of JSS to determine predictors of participant burnout. RESULTS: The data showed that 1% of the 95 respondents reported high burnout and 35% reported medium burnout on the scale. Correlation coefficient showed that job satisfaction and burnout strongly and negatively correlated (r[93]=-.66; P<.001). Multiple regression analysis showed that nature of work (β=-.49) and coworkers (β=-.30) were significant predictors of burnout (R=0.74; F[4, 90]=26.81; P<.001). CONCLUSIONS: Nonclinical workers at a local MEC were generally satisfied with their job and showed a moderate degree of burnout. Compared to the general population, our sample reported less burnout.
BACKGROUND AND OBJECTIVES: Research into the rates of burnout among nonclinical workers is nonexistent at medical education centers (MECs). The first goal of this study was to explore the prevalence of burnout among nonclinical faculty and staff working at a local MEC. The second goal was to identify predictors of burnout using job satisfaction dimensions-supervision, coworkers, contingency rewards, and nature of work. METHODS: The study included a convenience sample of 95 nonclinical faculty and staff working at a local MEC. Data from these workers were collected between December 2016 and January 2017. The Abbreviated Maslach Burnout Inventory (AMBI) was used to measure burnout while a modified Spector's Job Satisfaction Survey (JSS) was used to measure participants' job satisfaction. The authors correlated the dimensions of the AMBI and JSS. They also conducted multiple regression analysis using the four dimensions of JSS to determine predictors of participant burnout. RESULTS: The data showed that 1% of the 95 respondents reported high burnout and 35% reported medium burnout on the scale. Correlation coefficient showed that job satisfaction and burnout strongly and negatively correlated (r[93]=-.66; P&lt;.001). Multiple regression analysis showed that nature of work (β=-.49) and coworkers (β=-.30) were significant predictors of burnout (R=0.74; F[4, 90]=26.81; P&lt;.001). CONCLUSIONS: Nonclinical workers at a local MEC were generally satisfied with their job and showed a moderate degree of burnout. Compared to the general population, our sample reported less burnout.