Mindfulness as a predictor of positive reappraisal and burnout in standardized patients.

Mindfulness as a predictor of positive reappraisal and burnout in standardized patients.

Gerzina Holly A; Porfeli Erik J

Teaching and learning in medicine

2012

2012

BACKGROUND: Standardized patients (SPs) portray emotionally intense roles that can have unintended deleterious effects including burnout. PURPOSE: This study explored SP characteristics that could serve as protective factors against these adverse effects. The literature suggests that positive reappraisal and mindfulness are protective factors, with positive reappraisal mediating the relationship between mindfulness and burnout. METHODS: Seventy-six SPs completed an instrument measuring burnout, positive reappraisal, and mindfulness. Multiple regression was performed to test the hypothesized mediator model. RESULTS: The results revealed that mindfulness and positive reappraisal explained a meaningful portion of SP burnout variance (R (2) = .31 p \textless .01). Germane to the mediator model, all correlations were significant: mindfulness and positive reappraisal (a) r = .668; positive reappraisal and burnout (b) r = -.527; and mindfulness and burnout (c) r = -.496, p \textless 01. When positive reappraisal and mindfulness were included in the model, the previously significant relationship c was no longer statistically significant. The combination of these three relationships supports a mediator model. CONCLUSIONS: Education to enhance mindfulness and positive reappraisal offers a way to offset the adverse effects of portraying intense emotional patient experiences.

*Adaptation; *Emotions; *Patient Satisfaction; 80 and over; Adult; Aged; Burnout; Clinical Assessment Tools; Coefficient Alpha; Convenience Sample; Descriptive Statistics; Education; Female; Human; Humans; Job Characteristics; Male; Medical; Middle Aged; Mind Body Techniques; Models; Multiple Regression; Ohio; Patient Simulation; Professional – Risk Factors; Psychological; Psychological/*complications/psychology; Psychometrics; Questionnaires; Regression Analysis; Risk Assessment; Statistics as Topic; Stress; Summated Rating Scaling

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