Key Points Question What trends and factors are associated with physician burnout in a large academic medical faculty practice? Findings In this survey study administered to 1774 physicians in 2014 and 1882 physicians in 2017, burnout increased from 40.6% to 45.6%, with early-career physicians more likely to report burnout than midcareer and late-career physicians. An institution-wide process was mobilized to address and relieve burnout. Meaning Relief of burnout will require local and central initiatives and engagement of both individuals and leadership.

Despite growing pressure for accountability, mental health professionals continue to debate the value of routinely measuring treatment outcomes. This paper sought to move the outcomes measurement debate forward by reviewing some of the current limitations in outcomes methodology and by providing initial strategies to address them. Using these strategies, we evaluated outcomes for a large diagnostically diverse group of adult outpatients receiving treatment as usual (TAU) within an academic medical centre. Initial self-report and clinician-rated assessments were obtained from 5546 patients, and follow-up data were obtained from 1572 (28%) patients. Using the subset of patients with the follow-up data, we determined treatment effect sizes, rates of reliable improvement (and deterioration) and rates of clinically significant improvement for all patients and for specific diagnostic groups (depression, anxiety, substance abuse, mood disorders not otherwise specified, bipolar and psychotic conditions). TAU outcomes for depression and anxiety were also compared with benchmarks derived from the randomized controlled trial literature. Lastly, the impact of patient or sample characteristics on outcome was explored. Overall, these findings generally support the benefit of TAU over no treatment while also highlighting both the utility and limitations inherent in the current approaches to evaluating treatment outcomes. Suggestions for improving outcomes measurement are provided.

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The goal of this study was to identify variables associated with length of stay (LOS) and to incorporate into the authors' routine preadmission assessment the measurement of these variables. A retrospective study of 80 discharged patients explored the association of 25 variables reflecting a mixture of patient/demographic variables, illness variables, and treatment variables with LOS. Multivariate analysis revealed that 10 variables independently accounted for 62% of the variance in LOS. The information used was obtained primarily in the preadmission screening. The predictive power of the variables shrank in the prospective study. However, fewer individual variables were significantly associated with LOS; the summed score of the variables predicted 17% of the LOS variance. Results indicated that factors important for estimating LOS are available at the time of admission, and these variables can be systematically assessed and incorporated into clinical decision making.

Training backgrounds were important determinants of clinicians' actions and the dispositions they recommended for a psychiatric patient at high risk of self-harm and harm to others in the educational setting and may suggest the need for further training to standardize and optimize care.

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