ArticleBMC medical education2023
A Canadian survey of residency applicants' and interviewers' perceptions of the 2021 CaRMS R1 virtual interviews.
Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 6 citations in OpenAlex.
- Article
- The impact of GenAI on applicant behaviour, performance, and interview reliability during virtual interviews for medical school admissions.NPJ digital medicine · 2025Article
- Retiring trends The role of artificial intelligence in mitigating the urologist shortage in Canada.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAll Canadian Residency Matching Service (CaRMS) R1 interviews were conducted virtually for the first time in 2021. We explored the facilitators, barriers, and implications of the virtual interview process for the CaRMS R1 match and provide recommendations for improvement.
methodsWe conducted a cross-sectional survey study of CaRMS R1 residency applicants and interviewers across Canada in 2021. Surveys were distributed by email to the interviewers, and by email, social media, or newsletter to the applicants. Inductive thematic analysis was used for open-ended items. Recommendations were provided as frequencies to demonstrate strength. Close-ended items were described and compared across groups using Chi-Square Fisher's Exact tests.
resultsA total of 127 applicants and 400 interviewers, including 127 program directors, responded to the survey. 193/380 (50.8%) interviewers and 90/118 (76.3%) applicants preferred virtual over in-person interview formats. Facilitators of the virtual interview format included cost and time savings, ease of scheduling, reduced environmental impact, greater equity, less stress, greater reach and participation, and safety. Barriers of the virtual interview format included reduced informal conversations, limited ability for applicants to explore programs at different locations, limited ability for programs to assess applicants' interest, technological issues, concern for interview integrity, limited non-verbal communication, and reduced networking. The most helpful media for applicants to learn about residency programs were program websites, the CaRMS/AFMC websites, and recruitment videos. Additionally, panel interviews were preferred by applicants for their ability to showcase themselves and build connections with multiple interviewers. Respondents provided recommendations regarding: (1) dissemination of program information, (2) the use of technology, and (3) the virtual interview format.
conclusionsPerceptions of 2021 CaRMS R1 virtual interviews were favourable among applicants and interviewers. Recommendations from this study can help improve future iterations of virtual interviews.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.