匹配和不匹配耳鼻喉科住院医师申请人的语言分析

IF 1.7 4区医学 Q2 OTORHINOLARYNGOLOGY

Laryngoscope Investigative Otolaryngology Pub Date : 2025-06-14 DOI:10.1002/lio2.70170

Osama A. Hamdi, Scott D. Hirsch, Taylor L. Jamil, Hani Samarah, Andrew P. Johnson, Cristina Cabrera-Muffly

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引用次数: 0

摘要

目的耳鼻喉科住院医师匹配过程竞争激烈。本研究评估了匹配和不匹配申请人在个人陈述（ps）和推荐信（LORs）方面的人口统计学、学术和语言差异。方法对某机构2015-2021年匹配周期内2130名住院医师申请人进行回顾性定量分析。语言调查和字数统计2022 （LIWC2022）是一个经过验证的软件工具，用于分析书面文本的情感、认知和结构成分。结果在2130名申请者中，匹配率为1671人（78.5%）。非西班牙裔白人申请者的匹配率明显高于非白人申请者（p = 0.001）。匹配的申请人表现出优异的学术表现，包括更高的USMLE第一步分数（247±12.2对239.2±16.1,p < 0.001），第二步CS通过率（99.2%对95.8%,p < 0.001）和更高的研究生产力。语言分析显示，匹配的申请人在ps中使用更多的分析性语言（OR = 1.02, p < 0.001）、影响力语言（OR = 1.01, p = 0.007）和积极语气语言（OR = 1.16, p = 0.003）。不匹配的申请人使用更多的消极语气（OR = 0.619, p < 0.001）和消极情绪（OR = 0.54, p = 0.001）。匹配申请人的LORs表现出较少的负面语气（OR = 0.35, p < 0.001）。结论匹配的申请人在ps中表现出更强的学术指标和认知语言模式，突出强调分析性写作而不是情感表达。不同群体的LOR语言不同，揭示了预测匹配成功的语言特征。证据水平

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Language Analysis of Matched and Unmatched Otolaryngology Residency Applicants

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Language Analysis of Matched and Unmatched Otolaryngology Residency Applicants

Objectives

The otolaryngology residency match process is highly competitive. This study evaluated demographic, academic, and linguistic differences in personal statements (PSs) and letters of recommendation (LORs) between matched and unmatched applicants.

Methods

A retrospective quantitative analysis of 2130 residency applicants to one institution during the 2015–2021 match cycles was conducted. Linguistic Inquiry and Word Count 2022 (LIWC2022), a validated software tool, was used to analyze emotional, cognitive, and structural components of written text.

Results

Among 2130 applicants, 1671 (78.5%) matched. Non-Hispanic White applicants had significantly higher match rates compared to non-white applicants (p = 0.001). Matched applicants demonstrated superior academic performance, including higher USMLE Step 1 scores (247 ± 12.2 vs. 239.2 ± 16.1, p < 0.001), Step 2 CS pass rates (99.2% vs. 95.8%, p < 0.001), and greater research productivity. Linguistic analysis revealed that matched applicants used more analytical (OR = 1.02, p < 0.001), clout (OR = 1.01, p = 0.007), and positive tone (OR = 1.16, p = 0.003) language in PSs. Unmatched applicants used more negative tone (OR = 0.619, p < 0.001) and negative emotion (OR = 0.54, p = 0.001). LORs for matched applicants exhibited less negative tone (OR = 0.35, p < 0.001).

Conclusion

Matched applicants displayed stronger academic metrics and cognitive language patterns in PSs, highlighting an emphasis on analytical writing over emotional expression. LOR language differed between groups, revealing linguistic features predictive of matching success.