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Beyond ‘charting outcomes’ in the radiation oncology match

Analysis of self-reported applicant data

Bibliographic Data

ID15328778
AuthorsSamuel Jang (0000-0002-8398-7263, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA, corresponding author), Stephen A Rosenberg (Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA), Craig Hullett (Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA), Craig R Hullett (University of Wisconsin–Madison), Kristin Bradley (0000-0002-8861-2225, University of Wisconsin Carbone Cancer Center), Kristin A Bradley (Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA), Randall J Kimple (0000-0001-8336-8000, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA)
Year2018
Volume23
Issue1
Pages1489691-1489691
Publication date2018-01-01
Open AccessYes
TypeARTICLE
VenueMedical Education Online (JOURNAL)
Journal identifiersISSN: 1087-2981 • E-ISSN: 1087-2981
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/10872981.2018.1489691
PMID29943670
OpenAlexW2810036782
LanguageEN
References cited2

The Charting Outcomes resource is useful in gauging an applicant's competiveness for a given specialty. However, many variables are not reported in Charting Outcomes that may influence an applicant's ability to match. A significant proportion of applicants record their experiences in an anonymous, self-reported applicant spreadsheet. We analyzed factors associated with a successful match using this dataset to test the hypothesis that research productivity and high academic performance correlates with success rates. A retrospective analysis of "RadOnc Interview Spreadsheet" for the 2015, 2016, and 2017 radiation oncology match was performed. Data were accessed via studentdoctor.net. Board scores, research characteristics, Sub-I participation, and interview invitation rates were available. Mann-Whitney U, Kruskal-Wallis, and chi-square tests were used for statistical analysis. When possible, results were compared to those reported in the National Residency Match Program's "Charting Outcomes" report. A total of 158 applicants were examined for the applicant characteristics. Applicants applied to a median of 61 programs and received a median of 14 interviews. The mean step 1 score was 248 (range: 198 to 272) and most were in the highest grade point average quartile (68.3%). 21.7% participated in additional research year(s), and 19% obtained a PhD. The majority of applicants took three radiation oncology electives (48.7%). On multivariate analysis, alpha-omega-alpha (AOA) honors society status (p=0.033), participating in a research year (p=0.001) and number of journal publications (p=0.047) significantly correlated with higher interview invitation rates. In summary, this study identifies important considerations for radiation oncology applicants that have not been previously reported, such as induction into AOA and number of journal publications

Descriptive statistics · Family medicine · Medical education · Multivariate analysis · Quartile · Radiation oncology · Radiation therapy · Specialty · Statistics · Test (biology · Advances in Oncology and Radiotherapy · Diversity and Career in Medicine · Medicine · Psychology · Radiation Dose and Imaging · Internal Medicine

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