Literature DB >> 25091382

The predictive value of application variables on the global rating of applicants to a general surgery residency program.

Christine Sharp1, Andrea Plank1, James Dove1, Nicole Woll1, Marie Hunsinger1, April Morgan1, Joseph Blansfield1, Mohsen Shabahang2.   

Abstract

OBJECTIVE: Selection of applicants to residency programs can involve a great deal of variability. The purpose of this study was to determine the relationship between different subjective and objective application variables and the global rating score (GRS) of applicants to a general surgery residency program.
DESIGN: This was a retrospective analysis of data collected from the Electronic Residency Application Service on 188 applicants to a general surgery residency program from 2010 to 2013. Subjective variables including letters of recommendation (LORs), personal statements (PSs), and volunteer work were blindly assessed by raters using a literature-based method of evaluation. Objective data included several variables, such as United States Medical Licensing Examination (USMLE) scores. Each applicant received a GRS, which was a faculty-given numerical value reflecting both interview performance and overall application strength. The effect of subjective and objective variables on the GRS was determined.
SETTING: The Geisinger Medical Center, a rural moderate-sized general surgery residency program.
RESULTS: Of all the application variables examined, bivariate analysis indicated that having no prior residency (p = 0.0023), prior medical work (p = 0.0329), higher USMLE Step II Clinical Knowledge scores (p = 0.0021), higher overall PS score (p = 0.0125) and PS Written Expression score (p = 0.0007), and LORs from surgeons in leadership positions (p = 0.0029) have a significant (p < 0.05) effect on the GRS. Of these factors, USMLE Step II Clinical Knowledge score, PS Written Expression score, no prior residency, prior medical work, and LORs from surgeon in lead position had a significant effect on GRS based on multivariate stepwise regression analysis.
CONCLUSIONS: Our analysis identifies specific surgical resident applicant variables that are predictive of the GRS. Interestingly, most of these factors were objective. This may allow for the development of a more quantitative tool for selection of applicants.
Copyright © 2014 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Keywords:  Practice-Based Learning and Improvement; Professionalism; Systems-Based Practice; admissions; general surgery; predictive factors; residency

Mesh:

Year:  2014        PMID: 25091382     DOI: 10.1016/j.jsurg.2014.06.003

Source DB:  PubMed          Journal:  J Surg Educ        ISSN: 1878-7452            Impact factor:   2.891


  6 in total

1.  Predictors of orthodontic residency performance: An assessment of scholastic and demographic selection parameters.

Authors:  Andrew C Grillo; Ahmed A M Ghoneima; Lawrence P Garetto; Surya S Bhamidipalli; Kelton T Stewart
Journal:  Angle Orthod       Date:  2019-01-02       Impact factor: 2.079

2.  Quantitative and Qualitative Factors Associated with Social Isolation Among Graduate and Professional Health Science Students.

Authors:  Mary Elizabeth Ray; Jessica Marie Coon; Ali Azeez Al-Jumaili; Miranda Fullerton
Journal:  Am J Pharm Educ       Date:  2019-09       Impact factor: 2.047

3.  USMLE Step 2 CK: Best Predictor of Multimodal Performance in an Internal Medicine Residency.

Authors:  Akshita Sharma; Daniel P Schauer; Matthew Kelleher; Benjamin Kinnear; Dana Sall; Eric Warm
Journal:  J Grad Med Educ       Date:  2019-08

4.  Utilization of a New Customizable Scoring Tool to Recruit and Select Pulmonary/Critical Care Fellows.

Authors:  Susanti R Ie; Jessica L Ratcliffe; Catalina Rubio; Kermit S Zhang; Katherine Shaver; David W Musick
Journal:  Cureus       Date:  2021-06-02

5.  Predicting Quality of Clinical Performance From Cardiology Fellowship Applications.

Authors:  Michael W Cullen; Thomas J Beckman; Kristine M Baldwin; Gregory J Engstler; Jay Mandrekar; Christopher G Scott; Kyle W Klarich
Journal:  Tex Heart Inst J       Date:  2020-08-01

Review 6.  Evaluating Urology Residency Applications: What Matters Most and What Comes Next?

Authors:  Mitchell M Huang; Marisa M Clifton
Journal:  Curr Urol Rep       Date:  2020-08-17       Impact factor: 3.092

  6 in total

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