QLIF-30. RISK FACTORS FOR BURNOUT AMONG NEURO-ONCOLOGY PROVIDERS: A PREDICTIVE MODEL

  • O’Brien B
  • Yust-Katz S
  • Vera E
  • et al.
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Abstract

BACKGROUND: Burnout is increasingly recognized as a common problem among physicians and other healthcare providers. The burnout incidence and associated risk factors among neuro-oncology providers has yet to be reported. METHOD(S): The Neuro-Oncology Burnout and Career Satisfaction survey was offered to neuro-oncology professionals September- December 2016. The survey included the Maslach Burnout Inventory- Health Services (MBI-HS; 22-item questionnaire measuring 3 domains of professional burnout) and questions regarding demographic (including age, sex, marital status), lifestyles (including alcohol use, hobbies, sleep quantity), and practice characteristics (including practice setting, hours, responsibilities. Group differences between participants were evaluated by independent samples t-test and chi-square tests. Variables significant at univariate level p<0.10 were included in a multivariate logistic regression with backwards selection (p<0.05) to identify risk factors for high burnout. RESULT(S): 427 participated, with 344 with complete data were included in the risk factor analysis. High burnout was present for 63% of participants. On univariate analysis, variables associated (p<0.10) with high burnout were income, lack of exercise, limited time spent with family or on hobbies, stress level, job satisfaction, subjective burnout, history of burnout, depression or anxiety, and lack of institutional mechanism for burnout support. On multivariate analysis, significant risk factors (p<0.05) for high burnout were identified as not spending regular time with family per week (OR=2.4), self-report of currently "feeling" burnout (OR=8.5), having a history of depression (OR=3.7) or anxiety (OR=2.9), and profession (basic science) (OR=8.4). Protective factors against high burnout were exercising >30 min/week (OR=0.13-0.26) and self-report of greater job satisfaction (OR=0.70). Together, these variables can correctly classify 83% of participants with high burnout. CONCLUSION(S): Burnout risk was associated with limited self-care, as well as social, professional and underlying psychologic factors. Identifying risk factors is imperative for implementation of preventative strategies to promote wellness and awareness to combat the effects of burnout.

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APA

O’Brien, B. J., Yust-Katz, S., Vera, E., Acquaye, A. A., & Armstrong, T. S. (2017). QLIF-30. RISK FACTORS FOR BURNOUT AMONG NEURO-ONCOLOGY PROVIDERS: A PREDICTIVE MODEL. Neuro-Oncology, 19(suppl_6), vi207–vi208. https://doi.org/10.1093/neuonc/nox168.839

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