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Preference signaling in the radiology residency match: National survey of applicants.
Lakhani, Dhairya A; Radmard, Mahla; Tafazolimoghadam, Armin; Patel, Sahil; Murugesan, Arun; Malik, Hammad; Hogg, Jeffery P; Shen, Ziling; Yousem, David M; Deng, Francis.
Afiliación
  • Lakhani DA; Neuroradiology fellow, Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Assistant Professor, Department of Neuroradiology, Rockefeller Neuroscience Institute, West Virginia University School of Medicine, Morgantown, WV, USA. Electroni
  • Radmard M; Research fellow, Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Tafazolimoghadam A; Research Fellow, Department of Radiology, Tehran University of Medical Sciences, Tehran, Iran.
  • Patel S; Radiology Resident, Department of Radiology, McGovern Medical School, The University of Texas Health Science Center at Houston, TX.
  • Murugesan A; Radiology Resident, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN.
  • Malik H; Nuclear Medicine Resident, Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Hogg JP; Professor Emeritus, Department of Neuroradiology, Rockefeller Neuroscience Institute, West Virginia University School of Medicine, Morgantown, WV, USA.
  • Shen Z; Assistant Professor, Johns Hopkins Biostatistics Center, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Yousem DM; Professor and Associate Dean for Professional Development, Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Deng F; Assistant Professor, Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
J Am Coll Radiol ; 2024 Aug 29.
Article en En | MEDLINE | ID: mdl-39216781
ABSTRACT

OBJECTIVE:

Two-tiered preference signaling has been implemented in the radiology residency application system to reduce congestion in the setting of high-volume applications. Signals are an indicator of strong interest that an applicant can transmit to a limited number of programs. This study assessed the impact of program signaling on interview invitations, how applicants strategically used signals based on their application's competitiveness, and applicants' attitudes toward the current signaling system.

METHODS:

A survey was sent to radiology residency applicants registered with TheRadRoom during the 2024 application cycle. We queried the applicant's background, applications, signal distribution, and interview outcome depending on the type of signal sent. We also asked whether respondents received an interview invitation from a hypothetical "comparator non-signaled program" if they had one additional signal to use. Group differences were assessed using nonparametric Wilcoxon signed rank test.

RESULTS:

A total of 202 applicants completed the survey (28% response rate). Most applied to diagnostic radiology (81%). Nearly all respondents utilized all 6 gold (98%) and 6 silver (96.5%) signals. Interview invitation rates were significantly higher for signaled programs (59.8%±27.4%) than non-signaled (8.5%±8.5%); the invitation rate at the comparator non-signaled programs was 37%. Gold signaled programs had significantly higher interview rates (67.8%±29.3) than silver (51.8%±31.3%). Respondents used 49.2%(±21.7%) of their signals for "likely to match" programs, 33.1%(±20.9%) for "aspirational" programs, and 17.6%(±15.8%) for "safety" programs. Most respondents (146;76%) supported continuing the signaling system for future cycles.

CONCLUSION:

Signaling programs significantly enhanced interview invitation rates, with gold signals being more effective than silver. The applicants used about 6 total signals for "likely-to-match" programs, 2 for "aspirational" programs, and about 4 for "safety" programs.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Am Coll Radiol Asunto de la revista: RADIOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Am Coll Radiol Asunto de la revista: RADIOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos