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Record W2918214022 · doi:10.1097/sap.0000000000001525

Factors That Affect Medical Students' Perception and Impression of a Plastic Surgery Program

2018· article· en· W2918214022 on OpenAlexaboutno aff
Kevin J. Zuo, Helene Retrouvey, Kyle R. Wanzel

Bibliographic record

VenueAnnals of Plastic Surgery · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLikert scaleMedical educationAffect (linguistics)Plastic surgeryPerceptionCross-sectional studyResidency trainingFamily medicinePsychologySurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: Securing a residency training position in plastic surgery is highly competitive each year with a limited quota of positions and numerous qualified applicants. Although previous studies have highlighted the importance of residency programs and applicants seeking a "good fit," it remains poorly understood what influences a medical student's impression and desire to train at a certain program over others. The objective of this cross-sectional study was to identify which specific potentially modifiable factors during elective rotations and program interviews were most important to Canadian medical students when ranking plastic surgery programs. METHODS: An electronic survey with 42 questions was administered to Canadian final year medical students who applied through the 2017 Canadian Residency Match Service to the plastic surgery training program at the University of Toronto. The survey consisted of 7-point Likert scale questions related to demographics, general factors affecting impression of a plastic surgery program, and specific factors related to the elective and interview experiences. Survey responses were collected anonymously for analysis. RESULTS: Twenty-three of 46 applicants completed the survey (50% response rate). The most important general factors affecting a medical student's impression and desire to train at a residency program were mentors at a specific program (weighted average, 6.39) and geographic location of a program (weighted average, 5.65). During elective rotations, the most important factors identified were overall impression of resident and staff collegiality (weighted average, 6.57), overall impression of resident happiness (weighted average, 6.52), and having a formal rotation-end debrief evaluation with the supervising staff (weighted average, 6.04). At program interviews, perceiving an atmosphere of collegiality (weighted average, 6.45) and opportunities to interact with residents and faculty at an organized social event (weighted average, 5.95) were considered of greatest importance. CONCLUSIONS: Current applicants to plastic surgery in Canada prioritize resident happiness, program collegiality, and meaningful faculty relationships, such as those with a mentor, when ranking residency programs. Although finding a mutually "good fit" between applicant and program will remain a major aim, these findings indicate the importance of certain tangible, potentially modifiable factors that affect how medical students ultimately perceive and rank plastic surgery programs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.133
GPT teacher head0.392
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations48
Published2018
Admission routes1
Has abstractyes

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