Objective: To evaluate physician burnout, well-being, and work unit safety grades in relationship to perceived major medical errors. Participants and Methods: From August 28, 2014, to October 6, 2014, we conducted a population-based survey of US physicians in active practice regarding burnout, fatigue, suicidal ideation, work unit safety grade, and recent medical errors. Multivariate logistic regression and mixed-effects hierarchical models evaluated the associations among burnout, well-being measures, work unit safety grades, and medical errors. Results: Of 6695 responding physicians in active practice, 6586 provided information on the areas of interest: 3574 (54.3%) reported symptoms of burnout, 2163 (32.8%) reported excessive fatigue, and 427 (6.5%) reported recent suicidal ideation, with 255 of 6563 (3.9%) reporting a poor or failing patient safety grade in their primary work area and 691 of 6586 (10.5%) reporting a major medical error in the prior 3 months. Physicians reporting errors were more likely to have symptoms of burnout (77.6% vs 51.5%; P<.001), fatigue (46.6% vs 31.2%; P<.001), and recent suicidal ideation (12.7% vs 5.8%; P<.001). In multivariate modeling, perceived errors were independently more likely to be reported by physicians with burnout (odds ratio [OR], 2.22; 95% CI, 1.79–2.76) or fatigue (OR, 1.38; 95% CI, 1.15–1.65) and those with incrementally worse work unit safety grades (OR, 1.70; 95% CI, 1.36–2.12; OR, 1.92; 95% CI, 1.48–2.49; OR, 3.12; 95% CI, 2.13–4.58; and OR, 4.37; 95% CI, 2.06–9.28 for grades of B, C, D, and F, respectively), adjusted for demographic and clinical characteristics. Conclusion: In this large national study, physician burnout, fatigue, and work unit safety grades were independently associated with major medical errors. Interventions to reduce rates of medical errors must address both physician well-being and work unit safety.

Background: Whether healthcare provider burnout contributes to lower quality of patient care is unclear.Purpose: To estimate the overall relationship between burnout and quality of care, and to evaluate if published studies provide exaggerated estimates of this relationship.

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OBJECTIVE To examine burnout prevalence among California neonatal intensive care units (NICUs) and to test the relation between burnout and healthcare-associated infection (HAI) rates in very low birth weight (VLBW) neonates. STUDY DESIGN Retrospective observational study of provider perceptions of burnout from 2073 nurse practitioners, physicians, registered nurses and respiratory therapists, using a validated four-item questionnaire based on the Maslach Burnout Inventory. The relation between burnout and HAI rates among VLBW (<1500 g) neonates from each NICU was evaluated using multi-level logistic regression analysis with patient-level factors as fixed effects. RESULTS We found variable prevalence of burnout across the NICUs surveyed (mean 25.2 ± 10.1%). Healthcare-associated infection rates were 8.3 ± 5.1% during the study period. Highest burnout prevalence was found among nurses, nurse practitioners and respiratory therapists (non-physicians, 28 ± 11% vs 17 ± 19% physicians), day shift workers (30 ± 3% vs 25 ± 4% night shift) and workers with 5 or more years of service (29 ± 2% vs 16 ± 6% in fewer than 3 years group). Overall burnout rates showed no correlation with risk-adjusted rates of HAIs (r = −0.133). Item-level analysis showed positive association between HAIs and perceptions of working too hard (odds ratio 1.15, 95% confidence interval 1.04–1.28). Sensitivity analysis of high-volume NICUs suggested a moderate correlation between burnout prevalence and HAIs (r = 0.34). CONCLUSION Burnout is most prevalent among non-physicians, daytime workers and experienced workers. Perceptions of working too hard associate with increased HAIs in this cohort of VLBW infants, but overall burnout prevalence is not predictive.