Abstract：
OBJECTIVE: Identify which medical schools produce the most otolaryngology residents, and associated characteristics which may contribute to this productivity.
METHODS: The medical school and residency program of each otolaryngology-matched student was identified. Various characteristics for each medical school and residency were compared in univariate and multivariate analysis after adjusting for class size. Percentage of matched students relative to class size was identified and compared for each geographic region.
METHODS: Cross-sectional study of publicly available match data from otomatch.com and otolaryngology residency program websites from 2020-2023.
METHODS: 1411 students from 174 medical schools matched into 126 otolaryngology residencies were identified.
RESULTS: Private medical schools (β = 0.50, p = 0.03), larger otolaryngology departments (β = 0.01, p = 0.04), and higher U.S. News and World Report (USNWR) ranking (β = -0.01, p = 0.02) was associated with a greater percentage of otolaryngology-matched students while schools in the Mountain region were associated with a lower percentage of matched students (β = -1.08, p = 0.02). A difference in percentage of matched students was observed when comparing across all regions (p < 0.01) but no significant differences were observed between any individual regions. The East North Central Region and the Middle Atlantic regions were more likely to match students from their respective regions compared to the Mountain region (OR: 4.98, 95% CI: 1.18, 21.01; OR: 8.20, 95% CI: 1.92, 34.99, respectively). Additionally, the Mountain region was less likely to match students from their own region compared to the Pacific (OR: 0.21, 95% CI: 0.05, 0.90), South Atlantic (OR: 0.20, 95% CI: 0.05, 0.85), and West South Central (OR: 0.15, 95% CI: 0.03, 0.67) regions.
CONCLUSIONS: Medical school characteristics such as private vs public status, size of otolaryngology department, higher USNWR ranking, and geographic region impact the number of otolaryngology-matched students. Applicants should consider the impact of their geographic region when allocating signals during the residency application process.
METHODS: The medical school and residency program of each otolaryngology-matched student was identified. Various characteristics for each medical school and residency were compared in univariate and multivariate analysis after adjusting for class size. Percentage of matched students relative to class size was identified and compared for each geographic region.
METHODS: Cross-sectional study of publicly available match data from otomatch.com and otolaryngology residency program websites from 2020-2023.
METHODS: 1411 students from 174 medical schools matched into 126 otolaryngology residencies were identified.
RESULTS: Private medical schools (β = 0.50, p = 0.03), larger otolaryngology departments (β = 0.01, p = 0.04), and higher U.S. News and World Report (USNWR) ranking (β = -0.01, p = 0.02) was associated with a greater percentage of otolaryngology-matched students while schools in the Mountain region were associated with a lower percentage of matched students (β = -1.08, p = 0.02). A difference in percentage of matched students was observed when comparing across all regions (p < 0.01) but no significant differences were observed between any individual regions. The East North Central Region and the Middle Atlantic regions were more likely to match students from their respective regions compared to the Mountain region (OR: 4.98, 95% CI: 1.18, 21.01; OR: 8.20, 95% CI: 1.92, 34.99, respectively). Additionally, the Mountain region was less likely to match students from their own region compared to the Pacific (OR: 0.21, 95% CI: 0.05, 0.90), South Atlantic (OR: 0.20, 95% CI: 0.05, 0.85), and West South Central (OR: 0.15, 95% CI: 0.03, 0.67) regions.
CONCLUSIONS: Medical school characteristics such as private vs public status, size of otolaryngology department, higher USNWR ranking, and geographic region impact the number of otolaryngology-matched students. Applicants should consider the impact of their geographic region when allocating signals during the residency application process.
摘要：
目标：确定哪些医学院培养的耳鼻喉科住院医师最多，以及可能有助于这种生产力的相关特征。
方法：确定了每个耳鼻喉科匹配学生的医学院和住院医师计划。在调整班级人数后，在单变量和多变量分析中比较了每个医学院和住院医师的各种特征。确定并比较了每个地理区域的匹配学生相对于班级规模的百分比。
方法：从2020-2023年对otomatch.com和耳鼻喉科住院医师计划网站公开提供的匹配数据进行横断面研究。
方法：确定了来自174所医学院的1411名符合126名耳鼻喉科住院医师的学生。
结果：私立医学院（β=0.50，p=0.03），较大的耳鼻喉科（β=0.01，p=0.04），较高的美国新闻与世界报道（USNWR）排名（β=-0.01，p=0.02）与耳鼻喉科匹配学生的比例更高，而山区的学校与匹配学生的比例更低相关（β=-1.08，p=0.02）。在所有地区进行比较时，观察到匹配学生的百分比差异（p<0.01），但在任何单个地区之间均未观察到显着差异。与山区相比，东北中部地区和中大西洋地区更有可能匹配各自地区的学生（OR：4.98，95％CI：1.18，21.01；OR：8.20，95％CI：1.92，34.99，分别）。此外,与太平洋相比，山区不太可能匹配来自自己地区的学生（OR：0.21，95％CI：0.05，0.90），南大西洋（OR：0.20，95%CI：0.05，0.85），和西南中部（OR：0.15，95%CI：0.03，0.67）地区。
结论：医学院的特点，如私人与公共地位，耳鼻喉科的大小，更高的USNWR排名，和地理区域影响耳鼻喉科匹配学生的数量。申请人在居留申请过程中分配信号时应考虑其地理区域的影响。
方法：确定了每个耳鼻喉科匹配学生的医学院和住院医师计划。在调整班级人数后，在单变量和多变量分析中比较了每个医学院和住院医师的各种特征。确定并比较了每个地理区域的匹配学生相对于班级规模的百分比。
方法：从2020-2023年对otomatch.com和耳鼻喉科住院医师计划网站公开提供的匹配数据进行横断面研究。
方法：确定了来自174所医学院的1411名符合126名耳鼻喉科住院医师的学生。
结果：私立医学院（β=0.50，p=0.03），较大的耳鼻喉科（β=0.01，p=0.04），较高的美国新闻与世界报道（USNWR）排名（β=-0.01，p=0.02）与耳鼻喉科匹配学生的比例更高，而山区的学校与匹配学生的比例更低相关（β=-1.08，p=0.02）。在所有地区进行比较时，观察到匹配学生的百分比差异（p<0.01），但在任何单个地区之间均未观察到显着差异。与山区相比，东北中部地区和中大西洋地区更有可能匹配各自地区的学生（OR：4.98，95％CI：1.18，21.01；OR：8.20，95％CI：1.92，34.99，分别）。此外,与太平洋相比，山区不太可能匹配来自自己地区的学生（OR：0.21，95％CI：0.05，0.90），南大西洋（OR：0.20，95%CI：0.05，0.85），和西南中部（OR：0.15，95%CI：0.03，0.67）地区。
结论：医学院的特点，如私人与公共地位，耳鼻喉科的大小，更高的USNWR排名，和地理区域影响耳鼻喉科匹配学生的数量。申请人在居留申请过程中分配信号时应考虑其地理区域的影响。
