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Visual abstract, Supplemental material for Robotic Off-Pump Totally Endoscopic Coronary Artery Bypass in Patients With Low Ejection Fraction by Miroslav P. Peev, Sarah Nisivaco, Gianluca Torregrossa, Aliasghar Arastu, Sajid Shahul and Husam H. Balkhy in Innovations: Technology and Techniques in Cardiothoracic and Vascular Surgery

BACKGROUND: Residency recruitment requires significant resources for both applicants and residency programs. Virtual interviews offer a way to reduce the time and costs required during the residency interview process. This prospective study investigated how virtual interviews affected scoring of anesthesiology residency applicants and whether this effect differed from in-person interview historical controls. METHODS: Between November 2020 and January 2021, recruitment members at the University of Chicago scored applicants before their interview based upon written application materials alone (preinterview score). Applicants received a second score after their virtual interview (postinterview score). Recruitment members were queried regarding the most important factor affecting the preinterview score as well as the effect of certain specified applicant interview characteristics on the postinterview score. Previously published historical controls were used for comparison to in-person recruitment the year prior from the same institution. RESULTS: Eight hundred and sixteen virtual interviews involving 272 applicants and 19 faculty members were conducted. The postinterview score was higher than the preinterview score (4.06 versus 3.98, P value of .05). The factor identified by faculty as the most important in the preinterview score was academic achievements (64%), and faculty identified the most important interview characteristic to be personality (72%). CONCLUSIONS: Virtual interviews led to a significant change in scoring of residency applicants, and the magnitude of this change was similar compared with in-person interviews. Further studies should elaborate on the effect of virtual recruitment on residency programs and applicants.

BACKGROUND: This prospective study investigated whether in-person interviews affected interviewer assessments of anesthesiology residency applicants at an academic medical center, and which applicant characteristics influenced interview performance. METHODS: Eighteen faculty members involved in residency recruitment between November 2019 and January 2020 documented preinterview (after full application review) and postinterview scores of the applicants on a scale of 1 to 5. Faculty also reported the relative contributions of specific interview characteristics (personality, physical appearance, professional demeanor, discussion regarding academic/scholarly activity, and level of interest in the specialty) to their postinterview assessments. Mixed-effects models were used to assess whether interviews changed faculty assessment of applicants, and what the relative contributions of applicant characteristics were to faculty assessments. RESULTS: A total of 696 interviews were conducted with 232 applicants. The postinterview scores differed significantly from the preinterview scores (estimated mean difference, 0.09 ± 0.02; P < 0.0001). The characteristics most affecting postinterview scores were positive impressions of applicants’ personalities (marginal mean change in postinterview score, 0.259; 95% confidence interval, 0.221–0.297) and negative impressions of applicants’ professional demeanor (marginal mean change, −0.257; 95% confidence interval, −0.350 to −0.164). CONCLUSIONS: In-person interviews significantly affected residency applicants’ scores. Personality and professional demeanor influenced scores more than did other characteristics examined. Further studies are needed to clarify the relevance of in-person interviews to the assessment of residency applicants.

Online data supplement. (DOCX 5068Â kb)

Additional file 1: Table S1. Patients stratified according to presence of shock (presence of vasopressor at time of echo) or no shock.

Online Data Supplement. Evaluated complexity measures and association with success of vasopressor titration on univariate and multivariate analyses. (DOCX 30Â kb)