A Novel Collaboration to Reduce the Travel-Related Cost of Residency Interviewing.

INTRODUCTION: Interviewing for residency is a complicated and often expensive endeavor. Literature has estimated interview costs of $4,000 to $15,000 per applicant, mostly attributable to travel and lodging. The authors sought to reduce these costs and improve the applicant interview experience by coordinating interview dates between two residency programs in Chicago, Illinois. METHODS: Two emergency medicine residency programs scheduled contiguous interview dates for the 2015-2016 interview season. We used a survey to assess applicant experiences interviewing in Chicago and attitudes regarding coordinated scheduling. Data on utilization of coordinated dates were obtained from interview scheduling software. The target group for this intervention consisted of applicants from medical schools outside Illinois who completed interviews at both programs. RESULTS: Of the 158 applicants invited to both programs, 84 (53%) responded to the survey. Scheduling data were available for all applicants. The total estimated cost savings for target applicants coordinating interview dates was $13,950. The majority of target applicants reported that this intervention increased the ease of scheduling (84%), made them less likely to cancel the interview (82%), and saved them money (71%). CONCLUSION: Coordinated scheduling of interview dates was associated with significant estimated cost savings and was reviewed favorably by applicants across all measures of experience. Expanding use of this practice geographically and across specialties may further reduce the cost of interviewing for applicants.

Gender Differences in Language of Standardized Letter of Evaluation Narratives for Emergency Medicine Residency Applicants.

OBJECTIVE: While gender differences in language for letters of recommendation have been identified in other fields, no prior studies have evaluated the narrative portion of the emergency medicine (EM) standardized letter of evaluation (SLOE). We aim to examine the differences in language used to describe male and female applicants within the SLOE narrative. METHODS: Invited applicants to a 4-year academic EM residency program within a single application year with a SLOE were included in the sample. Exclusion criteria were SLOE of applicants from non-Liaison Committee on Medical Education (LCME) schools or first rotation SLOE not available for download. Data were collected on applicant gender, age, rotation grade, Alpha Omega Alpha designation, and medical school rank. The previously validated Linguistic Inquiry and Word Count (LIWC) program was used to analyze frequency of words within categories relevant to letters of recommendation. Descriptive statistics, t-tests, and chi-square tests were employed in analysis. RESULTS: Of 1,025 applicants within a single application year, 265 were invited to interview; 237 applicants had a first rotation SLOE available for analysis. There were no differences between male and female applicants for baseline characteristics. The median word count per SLOE narrative was 199; within the LIWC dictionary and user-defined categories, words within the categories of affiliation and ability appeared more frequently for female applicants. CONCLUSIONS: Our results with respect to the SLOE narrative reinforce prior research that letters of recommendation for female applicants highlight communal characteristics of teamwork, helpfulness, and compassion. Contrary to prior research, ability words highlighting intelligence and skill appeared with greater frequency for female applicants. No pervasive differences were found in other word categories. In this sample, the standardized format of the SLOE resulted in letters that were relatively free of gender bias.

Prediction of aerobic capacity in firefighters using submaximal treadmill and stairmill protocols.

Accurate assessments of aerobic capacity are essential to ensuring the health and well-being of firefighters, given their arduous and stressful working conditions. The use of a submaximal protocol, if proven accurate, addresses concerns such as administrative cost, time, and ease of test performance. The purposes of this study were to develop and validate graded submaximal and maximal stairmill protocols and to develop accurate maximal and submaximal equations to predict peak VO2 using both the stairmill and Gerkin treadmill protocols. Fifty-four subjects, men (36.3 +/- 5.6 years) and women (36.4 +/- 6.3 years), performed maximal graded exercise tests using both the stairmill and Gerkin treadmill protocols. Significant predictors of peak VO2 included body mass index, time to completion for maximal protocols, and time to 85% of predicted maximal heart rate for submaximal protocols. Maximal prediction equations were more accurate on both the treadmill (R = 0.654, standard error of the estimate [SEE] = 3.73 ml x kg(-1) x min(-1)) and stairmill (R = 0.816, SEE = 2.89 ml x kg(-1) x min(-1)) than developed submaximal prediction equations for both the treadmill (R = 0.325, SEE = 5.20 ml x kg(-1) x min(-1)) and stairmill (R = 0.480, SEE = 4.85 ml x kg(-1) x min(-1)). Both of the newly developed submaximal prediction equations more accurately predict peak VO2 than the current Gerkin equation. In summary, we support the use of both the stairmill and treadmill as a means for aerobic assessment in this population. The use of the developed submaximal prediction equations should lead to a reduced cost and time of assessment; however, direct measurement of maximal oxygen consumption remains the better alternative.