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Record W2049796063 · doi:10.1097/acm.0000000000000680

Transition to Surgical Residency

2015· article· en· W2049796063 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAcademic Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsMcGill University
Fundersnot available
KeywordsTransition (genetics)MEDLINEMedical educationFamily medicineMedicinePolitical scienceGeneticsBiology

Abstract

fetched live from OpenAlex

PURPOSE: To evaluate interns' perceived preparedness for defined surgical residency responsibilities and to determine whether fourth-year medical school (M4) preparatory courses ("bootcamps") facilitate transition to internship. METHOD: The authors conducted a multi-institutional, mixed-methods study (June 2009) evaluating interns from 11 U.S. and Canadian surgery residency programs. Interns completed structured surveys and answered open-ended reflective questions about their preparedness for their surgery internship. Analyses include t tests comparing ratings of interns who had and had not participated in formal internship preparation programs. The authors calculated Cohen d for effect size and used grounded theory to identify themes in the interns' reflections. RESULTS: Of 221 eligible interns, 158 (71.5%) participated. Interns self-reported only moderate preparation for most defined care responsibilities in the medical knowledge and patient care domains but, overall, felt well prepared in the professionalism, interpersonal communication, practice-based learning, and systems-based practice domains. Interns who participated in M4 preparatory curricula had higher self-assessed ratings of surgical technical skills, professionalism, interpersonal communication skills, and overall preparation, at statistically significant levels (P < .05) with medium effect sizes. Themes identified in interns' characterizations of their greatest internship challenges included anxiety or lack of preparation related to performance of technical skills or procedures, managing simultaneous demands, being first responders for critically ill patients, clinical management of predictable postoperative conditions, and difficult communications. CONCLUSIONS: Entering surgical residency, interns report not feeling prepared to fulfill common clinical and professional responsibilities. As M4 curricula may enhance preparation, programs facilitating transition to residency should be developed and evaluated.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.124
GPT teacher head0.399
Teacher spread0.275 · 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