Preparing for Virtual Interviews: A Pilot Study to Understand the Needs of Interviewees.

missing data recruitment materials residency interviews under-represented minorities in medicine (uim) virtual interviews

Journal

Cureus
ISSN: 2168-8184
Titre abrégé: Cureus
Pays: United States
ID NLM: 101596737

Informations de publication

Date de publication:
Sep 2024
Historique:
accepted: 25 09 2024
medline: 28 10 2024
pubmed: 28 10 2024
entrez: 28 10 2024
Statut: epublish

Résumé

Virtual interviews play a crucial role in the ranking process. National Resident Matching Program (NRMP) data shows a median number of 23.5 interviews per applicant. Considering this volume of interviews, graduate medical education programs must leverage the virtual pre-interview materials to impact applicants' attitudes and perceptions of the interview beforehand. This study is a secondary data analysis of an anonymous cross-sectional survey collected during two orientation sessions held in June and July 2022. Responses from 123 residents and fellows rated the usefulness of available print and virtual pre-interview resources. Using a 5-point Likert scale, social media sites scored an average usefulness score of 4.0, while the information packet and program website scored 3.88 and 3.90, respectively. This article provides recommendations for restructuring virtual resources to aid residents and fellows, specifically under-represented minorities in medicine (UiM) applicants, in having a quality interview experience.

Identifiants

pubmed: 39463553
doi: 10.7759/cureus.70172
pmc: PMC11506313
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e70172

Informations de copyright

Copyright © 2024, Barbee et al.

Déclaration de conflit d'intérêts

Human subjects: Consent was obtained or waived by all participants in this study. The Ohio State University Office of Responsible Research Practices issued approval #2022E0779. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.

Auteurs

Jeff Barbee (J)

Medical Education and Simulation, The Ohio State University College of Medicine, Columbus, USA.

Richard Thompson (R)

Medical Education and Simulation, The Ohio State University College of Medicine, Columbus, USA.

Joanne Vakil (J)

Medical Education and Simulation, The Ohio State University College of Medicine, Columbus, USA.

Coranita Burt (C)

Medical Education and Simulation, The Ohio State University Wexner Medical Center, Columbus, USA.

Michael Essandoh (M)

Anesthesiology, The Ohio State University Wexner Medical Center, Columbus, USA.

Scott Holliday (S)

Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, USA.

Classifications MeSH