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Predictors of otolaryngology applicant success using the Texas STAR database
by
DeMason, Christine E.
, Mihalic, Angela P.
, Thorp, Brian D.
, Buckmire, Robert A.
, Ebert, Charles S.
, Lenze, Nicholas R.
, Shah, Rupali N.
, Zanation, Adam M.
in
Awards & honors
/ Comprehensive (General) Otolaryngology
/ Confidentiality
/ Licensing examinations
/ Medical schools
/ Original Research
/ Osteopathic medicine
/ Otolaryngology
/ personnel selection
/ Regression analysis
/ residency
/ Response rates
/ Students
/ Success
/ surveys
2021
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Predictors of otolaryngology applicant success using the Texas STAR database
by
DeMason, Christine E.
, Mihalic, Angela P.
, Thorp, Brian D.
, Buckmire, Robert A.
, Ebert, Charles S.
, Lenze, Nicholas R.
, Shah, Rupali N.
, Zanation, Adam M.
in
Awards & honors
/ Comprehensive (General) Otolaryngology
/ Confidentiality
/ Licensing examinations
/ Medical schools
/ Original Research
/ Osteopathic medicine
/ Otolaryngology
/ personnel selection
/ Regression analysis
/ residency
/ Response rates
/ Students
/ Success
/ surveys
2021
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Predictors of otolaryngology applicant success using the Texas STAR database
by
DeMason, Christine E.
, Mihalic, Angela P.
, Thorp, Brian D.
, Buckmire, Robert A.
, Ebert, Charles S.
, Lenze, Nicholas R.
, Shah, Rupali N.
, Zanation, Adam M.
in
Awards & honors
/ Comprehensive (General) Otolaryngology
/ Confidentiality
/ Licensing examinations
/ Medical schools
/ Original Research
/ Osteopathic medicine
/ Otolaryngology
/ personnel selection
/ Regression analysis
/ residency
/ Response rates
/ Students
/ Success
/ surveys
2021
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Predictors of otolaryngology applicant success using the Texas STAR database
Journal Article
Predictors of otolaryngology applicant success using the Texas STAR database
2021
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Overview
Objectives To examine applicant characteristics and behaviors associated with a successful match into otolaryngology residency. Methods Self‐reported survey data from applicants to otolaryngology residency between 2018 and 2020 were obtained from the Texas STAR database. Characteristics and predictors associated with a successful match were examined using Chi‐square tests, two‐sided t‐tests, and logistic regression models. Results A total of 315 otolaryngology residency applicants responded to the survey of whom 274 matched (87%) and 41 did not match (13%). Matched applicants had a significantly higher mean USMLE Step 1 score (P = .016) and Step 2 CK score (P = .007). There were no significant differences in AOA status (45% vs 36%; P = .207), mean number of applications submitted (70 vs 69; P = .544), and mean number of away rotations (2.1 vs 2.0; P = .687) between matched and unmatched applicants. Significant predictors of a successful match included receiving honors in 5 or more clerkships (OR 2.0, 95% CI 1.0‐4.0; P = .040), receiving honors in an ENT clerkship (OR 3.7, 95% CI 1.0‐12.9; P = .044), and having 3 or more peer‐reviewed publications (OR 2.3, 95% CI 1.1‐4.5; P = .020). The majority of applicants (79.9%) matched at a program where they either did an away rotation, had a personal geographic connection, or attended medical school in the same geographic region. Conclusions Board scores, excelling on clinical rotations, and having productive research experience appear to be strong predictors of a successful match in otolaryngology. The majority of applicants report a personal or geographic connection to the program at which they match. Level of evidence 4.
Publisher
John Wiley & Sons, Inc,Wiley
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