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The feasibility of implicitly assessing medical student burnout was explored, using the Implicit Relational Assessment Procedure (IRAP), to measure longitudinal student burnout over the first two years of medical school and directly comparing it with an existing explicit measure of burnout (Maslach Burnout Inventory; MBI). Three successive cohorts of medical students completed both implicit and explicit measures of burnout at several time points during their first two years of medical school. Both assessments were conducted via the internet within a one-week period during the first week of medical school, the end of the first year of medical school, and the end of the second year, though not all cohorts were able to complete the assessments at all time points. Mixed linear models were used to compare the two measures directly, as well as to evaluate changes over time in each measure separately. Minimal correspondence was observed between the implicit and explicit measures of burnout on a within-subject basis. However, when analyzed separately, all subscales of both measures detected significant change over time in the direction of greater levels of burnout, particularly during the first year of medical school. These results provide preliminary evidence the IRAP is able to assess implicit attitudes related to burnout among medical students, though additional research is needed. The IRAP detected consistent improvements in positive implicit attitudes toward medical training during students' second year of medical school, which was not detected by the MBI. Possible implications of these findings are discussed.

The Implicit Relational Assessment Procedure (IRAP, Barnes-Holmes et al. in Psychol Rec 60:527-542, 2010) was utilized as a relatively new tool to measure implicit weight bias in first- and third-year medical students. To date, only two studies (Miller et al. in Acad Med 88:978-982, 2013; Phelan et al. in Med Educ 49:983-992, 2015) have investigated implicit weight bias with medical students and both have found pro-thin/anti-fat implicit attitudes, on average, using the Implicit Association Test (IAT, Greenwald and Banaji in Psychol Rev 102:4-27, 1995) as the assessment tool. The IRAP, however, allows for a deeper analysis of implicit attitudes with respect to both thin and fat in isolation, and it was found that medical students are, on average, actually both pro-thin and pro-fat, and on average are more pro-thin than pro-fat, as opposed to anti-fat. Additionally, it was found that medical students' implicit weight bias against fat/obese individuals improved over the first 2 years of medical training, and this improvement was specifically driven by improved implicit attitudes toward overweight and obese, while implicit attitudes toward thin remained constant over that time. The implications of more sensitive implicit bias assessment and specific changes in bias over time are discussed within the context of medical education curriculum development.

We investigate the revenue impact of a new Price Setting Method (PSM) and compare it with the industry standard Bid Price Method (BPM). This comparison is performed via a simulation that was validated by a major hotel chain. In 27 out of the 32 cases, the PSM outperformed the BPM based on statistically significant tests. The PSM produces an average revenue increase of 34%, which can be thought of as an upper bound on the realistic revenue increase. [ABSTRACT FROM AUTHOR]