Geographic Trends in the Plastic Surgery Match

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• 作者：Jason Silvestre ; BS ; ^{jasonsilvestremd@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Ines C. Lin ; MD ; FACS ; Joseph M. Serletti ; MD ; FACS ; Benjamin Chang ; MD ; FACS
• 关键词：residency ; education ; medical student ; application ; resident ; women
• 刊名：Journal of Surgical Education
• 出版年：2016
• 出版时间：March-April 2016
• 年：2016
• 卷：73
• 期：2
• 页码：270-274
• 全文大小：402 K

文摘

The integrated plastic surgery match is among the most competitive residency matches in recent years. Although previous studies have correlated applicant characteristics with successful match outcomes, none have comprehensively investigated the role of geography in the match. This study elucidates regional biases in the match.

Methods

Plastic surgery residents who matched during 2011-2015 were eligible for study inclusion. Names of residents were obtained from official residency program websites and cross-referenced with data obtained from the Student Doctor Network. For each resident, region of residency program and medical school were compared.

Results

From 67 programs, 622 residents were identified. Most graduated from US medical schools (97.9%). A total of 94 residents matched at a home institution (15.1%). Half of the residents matched in the same region as their medical school (48.9%). Programs in the South matched the greatest number of residents from the same region (60.8%), whereas West programs matched the least (30.8%, p < 0.001). No regional differences existed regarding residents matching at their home institution (p = 0.268). More women matched at West programs (43.1%) versus East programs (30.6%, p < 0.05).

Conclusions

A significant number of residents matched at their home institution. Roughly, half matched at a program in the same region as their medical school. Whether this regional phenomenon stems from applicant or program factors remains unknown. Yet, given the limited number of interviews and the high costs of interviewing, applicants and programs can use these data to help optimize the match process.