ArticleCanadian medical education journal2021
A chance for reform: The environmental impact of travel for general surgery residency interviews.
Article in Canadian medical education journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 22 citations in OpenAlex.
- A scoping review of Fit in medical education: a guaranteed success, or a threat to inclusivity?Canadian medical education journal · 2024Article
- The Climate Impact of Medical Residency Interview Travel in the United States and Canada: A Scoping Review.Journal of graduate medical education · 2024Article
- The Carbon Footprint and Cost of Virtual Residency Interviews.Journal of graduate medical education · 2023Article
- Emerging from the Pandemic: AAIM Recommendations for Internal Medicine Residency and Fellowship Interview Standards.The American journal of medicine · 2022Article
- Article
- Re: A chance for reform: the environmental impact of travel for general surgery residency interviews.Canadian medical education journal · 2022Article
- Medical schools don't change; people do.Canadian medical education journal · 2022Article
- Video-based interviewing in medicine: a scoping review.Systematic reviews · 2022Article
- Virtual Residency Interviews: Applicant Perceptions Regarding Virtual Interview Effectiveness, Advantages, and Barriers.Journal of graduate medical education · 2022Article
- Designing the "match of the future": challenges and proposed solutions in the interview and match phase of the UME-GME transition.Global surgical education : journal of the Association for Surgical Education · 2022Review
- Writing, reading, and critiquing reviews.Canadian medical education journal · 2021Article
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
backgroundIn light of the global climate emergency, it is worth reconsidering the current practice of medical students traveling to interview for residency positions. We sought to estimate carbon dioxide (CO
methodsAn eight-item survey was constructed to collect data on cities visited, travel modalities, and costs incurred. Applicants to the University of Ottawa General Surgery Program during the 2019/20 Canadian Resident Matching Service (CaRMS) cycle were invited to complete the survey. Potential reductions in CO
resultsOf a total of 56 applicants, 39 (70%) completed the survey. Applicants on average visited 10 cities with a mean total cost of $4,866 (95% CI=3,995-5,737) per applicant. Mean CO
conclusionTravel for general surgery residency interviews in Canada is associated with a considerable environmental impact. These findings are likely generalizable to other residency programs. Given the global climate crisis, the CaRMS application process must consider alternative structures.
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.