We validated three single-item measures for emotional exhaustion (EE) and depersonalization (DP) among rural physician/nonphysician practitioners. We linked cross-sectional survey data (on provider demographics, satisfaction, resilience, and burnout) with administrative information from an integrated health care network (1 academic medical center, 6 community hospitals, 31 clinics, and 19 school-based health centers) in an eight-county underserved area of upstate New York. In total, 308 physicians and advanced-practice clinicians completed a self-administered, multi-instrument questionnaire (65.1% response rate). Significant proportions of respondents reported high EE (36.1%) and DP (9.9%). In multivariable linear mixed models, scores on EE/DP subscales of the Maslach Burnout Inventory were regressed on each single-item measure. The Physician Work-Life Study's single-item measure (classifying 32.8% of respondents as burning out/completely burned out) was correlated with EE and DP (Spearman's ρ = .72 and .41, p < .0001; Kruskal-Wallis χ(2) = 149.9 and 56.5, p < .0001, respectively). In multivariable models, it predicted high EE (but neither low EE nor low/high DP). EE/DP single items were correlated with parent subscales (Spearman's ρ = .89 and .81, p < .0001; Kruskal-Wallis χ(2) = 230.98 and 197.84, p < .0001, respectively). In multivariable models, the EE item predicted high/low EE, whereas the DP item predicted only low DP. Therefore, the three single-item measures tested varied in effectiveness as screeners for EE/DP dimensions of burnout.
Background: Provider wellbeing is a barometer of the strength of healthcare systems/organizations. Burnout prevalence among physicians exceeds that among other adult workers in the United States. Rural-based practitioners might be at greater risk. Objective: We investigated predictors of burnout among group-employed providers within an integrated healthcare network. Methods: In a prospective observational study of physicians/advanced-practice clinicians serving an 8-county region of central New York, we linked administrative practice-setting data with responses to a questionnaire-survey comprising validated measures of burnout, resilience, work meaningfulness, satisfaction, risk aversion, and uncertainty/ambiguity tolerance. We included providers on the official payroll, excepting advisory board and/or research team members plus those who retired, resigned or were fired. 308 (65.1%) of 473 eligible clinicians completed the survey. 59.1% of these were physicians/doctoral-level practitioners; 40.9% advanced-practice clinicians. We assessed burnout using a validated 5-level single-item measure formatted as a binary outcome of "burned out/burning out" (levels 3-5) versus not. We derived a parsimonious generalized linear mixed-effects regression of this outcome on provider demographics, work-related needs, risk aversion, satisfaction, and unit characteristics. Results: Perceived workload, relatedness needs, practice satisfaction ≥ 75% of the time, dissatisfaction ≥ 50%, resilience, and practicing on a small unit were the significant, independent predictors. Conclusions: Heavy workloads, unmet relational needs, frequent dissatisfaction, low resilience, and serving on a small unit were most significantly associated with being "burned out/burning out". Feeling satisfied most of the time and high resilience were protective. Profession, specialty, autonomy, and support staffing were not statistically significant.
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