Ramos-Gonzalez G, Williams S, Miller A, Mosha M, Irby I, Chang HL, Danielson PD, Gonzalez R, Snyder CW, Chandler NM. Language Differences by Race on Letters of Recommendation for the Pediatric Surgery Match.
JOURNAL OF SURGICAL EDUCATION 2023;
80:1789-1798. [PMID:
37749001 DOI:
10.1016/j.jsurg.2023.08.016]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 07/31/2023] [Accepted: 08/27/2023] [Indexed: 09/27/2023]
Abstract
OBJECTIVE
This study aims to evaluate if there is any significant linguistic difference in LoR based on applicant's race/ethnicity.
DESIGN
Retrospective review of applications to pediatric surgery fellowship at a single institution (2016-2020). Race was self-reported by applicants. LoR were analyzed via the Linguistic Inquiry and Word Count (LIWC) software program.
SETTING
Johns Hopkins All Children's Hospital, St. Petersburg, Florida USA. A free-standing tertiary pediatric hospital.
PARTICIPANTS
Pediatric surgery fellowship applicants from 2016 to 2020.
RESULTS
A total of 1086 LoR from 280 applicants (52% female) were analyzed. Racial distribution was Caucasians 62.1%, Asian 12.1%, Hispanics 7.1%, multiracial 6.4% African Americans 5%, and other/unknown 7.1%. Letter writers were largely male (84%), pediatric surgeons (63%) and professors (57%). There was no difference in LoR word count across races. LoR for female multiracial candidates contained higher use of affiliation and negative emotion terms compared to Hispanic females (p = 0.002 and 0.048, respectively), and past focus terms when compared to Caucasian and Asian female applicants (p < 0.001 and p = 0.003, respectively). Religion terms were more common in LoR for Asian females when compared to Caucasian females (p < 0.001).
CONCLUSION
This study demonstrates linguistic differences in LoR for pediatric surgery training programs based on applicant race/ethnicity. While differences are present, these do not suggest overt bias based on applicants race or ethnicity.
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