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Record W4294190789 · doi:10.3138/jvme-2022-0054

Confidence among Veterinary Students to Perform Canine Orchiectomy: The Impact of Live Animal Surgical Clinical Training

2022· article· en· W4294190789 on OpenAlexvenueno aff
Charlie Peck, Josefine Prabert, Karolina Brunius Enlund, Odd Viking Höglund

Bibliographic record

VenueJournal of Veterinary Medical Education · 2022
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsConfidence intervalMedicineVeterinary medicineTest (biology)OrchiectomyVeterinary educationPsychologySurgeryCurriculumInternal medicineBiology

Abstract

fetched live from OpenAlex

Canine orchiectomy (COE) is one of the most commonly performed procedures in small animal veterinary surgery. The aim of this study was to assess veterinary students’ confidence in performing this surgery in relation to their previous surgical experience of the procedure. The hypothesis was that confidence to perform canine orchiectomies among recent veterinary graduates increased when having participated in the procedure as part of practical surgical training. A cross-sectional survey was conducted and included 65 fifth-year veterinary graduate students at the Swedish University of Agriculture in Uppsala, Sweden. The survey investigated how differences in experience of COE affected students’ confidence to perform the procedure. Of the responding students, 24.6% had performed the procedure, 47.7% had observed the procedure live, and 27.7% had neither seen nor performed the procedure. They were asked how confident they were to perform the procedure both with and without assistance. Data were compared using a non-parametric test (Mann–Whitney U test). The results showed a statistically significant increase in confidence to perform COEs in the group that had previously performed or observed COE compared with the group that had neither performed nor observed the procedure. In conclusion, veterinary students’ participation in COEs significantly contributed to their clinical confidence to perform the procedure.

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 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)0.008
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.528
GPT teacher head0.637
Teacher spread0.108 · 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 teacher head, not a consensus.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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