Examining dermatology residency applicant profiles for the 2023–2024 cycle: a cross-sectional analysis
Dermatology remains highly competitive, with strong USMLE Step 1 scores traditionally crucial for securing residency positions. The 2023–2024 cycle introduced significant changes, including pass/fail USMLE Step 1 score reports and an expanded program signaling system. This study explores dermatology...
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description | Dermatology remains highly competitive, with strong USMLE Step 1 scores traditionally crucial for securing residency positions. The 2023–2024 cycle introduced significant changes, including pass/fail USMLE Step 1 score reports and an expanded program signaling system. This study explores dermatology residency applicant profiles within this new context. A survey of 2023–2024 dermatology applicants was conducted via social media to gather demographic and application data. A total of 63 survey responses were collected: 74.6% matched and 25.4% unmatched. The racial distribution was 54% White/Caucasian, 25.4% Asian/Pacific Islander, 9.5% Black/African American, 4.8% Hispanic/Latino, and 6.3% other. The median USMLE Step 2 score was 257 (215–277). Racial differences in USMLE Step 2 scores were significant (
P
= 0.031), but did not affect match rates (
P
= 0.116). Letters of recommendation from dermatology program directors were linked to lower match rates (
P
= 0.036). A positive correlation was found between the number of audition rotations completed and matching at such programs (r²=0.817). Of all matched respondents, 46.8% matched to a program they did not signal; of these, 50.0% matched to a program at which they completed an audition rotation and 40.9% to their home dermatology program affiliation. The mean number of interviews was 8.02, with matched applicants receiving more invitations than unmatched applicants (9.02 vs. 5.06,
P
= 0.002). The shift to pass/fail USMLE Step 1 scores and expanded program signaling did not notably affect the median USMLE Step 2 score from prior years or match rates among underrepresented minorities. Success in matching continues to depend on a holistic evaluation. |
doi_str_mv | 10.1007/s00403-024-03470-7 |
format | Article |
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P
= 0.031), but did not affect match rates (
P
= 0.116). Letters of recommendation from dermatology program directors were linked to lower match rates (
P
= 0.036). A positive correlation was found between the number of audition rotations completed and matching at such programs (r²=0.817). Of all matched respondents, 46.8% matched to a program they did not signal; of these, 50.0% matched to a program at which they completed an audition rotation and 40.9% to their home dermatology program affiliation. The mean number of interviews was 8.02, with matched applicants receiving more invitations than unmatched applicants (9.02 vs. 5.06,
P
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P
= 0.031), but did not affect match rates (
P
= 0.116). Letters of recommendation from dermatology program directors were linked to lower match rates (
P
= 0.036). A positive correlation was found between the number of audition rotations completed and matching at such programs (r²=0.817). Of all matched respondents, 46.8% matched to a program they did not signal; of these, 50.0% matched to a program at which they completed an audition rotation and 40.9% to their home dermatology program affiliation. The mean number of interviews was 8.02, with matched applicants receiving more invitations than unmatched applicants (9.02 vs. 5.06,
P
= 0.002). The shift to pass/fail USMLE Step 1 scores and expanded program signaling did not notably affect the median USMLE Step 2 score from prior years or match rates among underrepresented minorities. Success in matching continues to depend on a holistic evaluation.</description><subject>Adult</subject><subject>Cross-Sectional Studies</subject><subject>Dermatology</subject><subject>Dermatology - education</subject><subject>Education, Medical, Graduate</subject><subject>Educational Measurement - statistics & numerical data</subject><subject>Female</subject><subject>Humans</subject><subject>Internship and Residency - statistics & numerical data</subject><subject>Licensing examinations</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Original Paper</subject><subject>Personnel Selection - methods</subject><subject>Racial differences</subject><subject>Surveys</subject><subject>Surveys and Questionnaires - statistics & numerical data</subject><subject>United States</subject><issn>1432-069X</issn><issn>0340-3696</issn><issn>1432-069X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kctKAzEUhoMotlZfwIUE3LgZPbl0MuNOSr1AwY2Cu5BmkjZlLjWZgrPzHXxDn8TY1gsu3OQE8v3_OTk_QscEzgmAuAgAHFgClCfAuIBE7KA-4YwmkOZPu7_uPXQQwgKiSGRkH_VYzkUKJO2j-fhFVa529QwXxleqbcpm1mFvgitMrTuslsvSaVW3eOkb60oTsG08bucGU6Ds_fUtFo51p0tziRXWvgkhCUa3rqlViVU8uuDCIdqzqgzmaFsH6PF6_DC6TSb3N3ejq0mi6TBtk3yoUxBacKaZpmAzIgqbGZXTIc8EZJbninOdZmya5oXNrSo0K8iUFZSanAAboLONbxz3eWVCKysXtClLVZtmFSQjlKaMk4xH9PQPumhWPs67pYBmMIwU3VDrn3lj5dK7SvlOEpCfOchNDjKuQa5zkCKKTrbWq2llim_J1-IjwDZAiE_1zPif3v_YfgAfrZMC</recordid><startdate>20241030</startdate><enddate>20241030</enddate><creator>Ghali, Helana</creator><creator>Smith, Logan R.</creator><creator>Rubalsky, Kayla</creator><creator>Abraham, Jaclyn</creator><creator>Jajoo, Veena</creator><creator>Mhaskar, Rahul</creator><creator>Cherpelis, Basil S.</creator><creator>Albers, Sharon E.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0009-0002-1411-0975</orcidid></search><sort><creationdate>20241030</creationdate><title>Examining dermatology residency applicant profiles for the 2023–2024 cycle: a cross-sectional analysis</title><author>Ghali, Helana ; Smith, Logan R. ; Rubalsky, Kayla ; Abraham, Jaclyn ; Jajoo, Veena ; Mhaskar, Rahul ; Cherpelis, Basil S. ; Albers, Sharon E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c256t-95c607c743c3c20f817df8ea92548708f49a44c683b69df9fadc3d1b3d22e9103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Cross-Sectional Studies</topic><topic>Dermatology</topic><topic>Dermatology - education</topic><topic>Education, Medical, Graduate</topic><topic>Educational Measurement - statistics & numerical data</topic><topic>Female</topic><topic>Humans</topic><topic>Internship and Residency - statistics & numerical data</topic><topic>Licensing examinations</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Original Paper</topic><topic>Personnel Selection - methods</topic><topic>Racial differences</topic><topic>Surveys</topic><topic>Surveys and Questionnaires - statistics & numerical data</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghali, Helana</creatorcontrib><creatorcontrib>Smith, Logan R.</creatorcontrib><creatorcontrib>Rubalsky, Kayla</creatorcontrib><creatorcontrib>Abraham, Jaclyn</creatorcontrib><creatorcontrib>Jajoo, Veena</creatorcontrib><creatorcontrib>Mhaskar, Rahul</creatorcontrib><creatorcontrib>Cherpelis, Basil S.</creatorcontrib><creatorcontrib>Albers, Sharon E.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Archives of dermatological research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghali, Helana</au><au>Smith, Logan R.</au><au>Rubalsky, Kayla</au><au>Abraham, Jaclyn</au><au>Jajoo, Veena</au><au>Mhaskar, Rahul</au><au>Cherpelis, Basil S.</au><au>Albers, Sharon E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Examining dermatology residency applicant profiles for the 2023–2024 cycle: a cross-sectional analysis</atitle><jtitle>Archives of dermatological research</jtitle><stitle>Arch Dermatol Res</stitle><addtitle>Arch Dermatol Res</addtitle><date>2024-10-30</date><risdate>2024</risdate><volume>316</volume><issue>10</issue><spage>727</spage><pages>727-</pages><artnum>727</artnum><issn>1432-069X</issn><issn>0340-3696</issn><eissn>1432-069X</eissn><abstract>Dermatology remains highly competitive, with strong USMLE Step 1 scores traditionally crucial for securing residency positions. The 2023–2024 cycle introduced significant changes, including pass/fail USMLE Step 1 score reports and an expanded program signaling system. This study explores dermatology residency applicant profiles within this new context. A survey of 2023–2024 dermatology applicants was conducted via social media to gather demographic and application data. A total of 63 survey responses were collected: 74.6% matched and 25.4% unmatched. The racial distribution was 54% White/Caucasian, 25.4% Asian/Pacific Islander, 9.5% Black/African American, 4.8% Hispanic/Latino, and 6.3% other. The median USMLE Step 2 score was 257 (215–277). Racial differences in USMLE Step 2 scores were significant (
P
= 0.031), but did not affect match rates (
P
= 0.116). Letters of recommendation from dermatology program directors were linked to lower match rates (
P
= 0.036). A positive correlation was found between the number of audition rotations completed and matching at such programs (r²=0.817). Of all matched respondents, 46.8% matched to a program they did not signal; of these, 50.0% matched to a program at which they completed an audition rotation and 40.9% to their home dermatology program affiliation. The mean number of interviews was 8.02, with matched applicants receiving more invitations than unmatched applicants (9.02 vs. 5.06,
P
= 0.002). The shift to pass/fail USMLE Step 1 scores and expanded program signaling did not notably affect the median USMLE Step 2 score from prior years or match rates among underrepresented minorities. Success in matching continues to depend on a holistic evaluation.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>39476016</pmid><doi>10.1007/s00403-024-03470-7</doi><orcidid>https://orcid.org/0009-0002-1411-0975</orcidid></addata></record> |
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subjects | Adult Cross-Sectional Studies Dermatology Dermatology - education Education, Medical, Graduate Educational Measurement - statistics & numerical data Female Humans Internship and Residency - statistics & numerical data Licensing examinations Male Medicine Medicine & Public Health Original Paper Personnel Selection - methods Racial differences Surveys Surveys and Questionnaires - statistics & numerical data United States |
title | Examining dermatology residency applicant profiles for the 2023–2024 cycle: a cross-sectional analysis |
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