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Record W4224279388 · doi:10.24908/pocus.v7i1.15019

Near Peer POCUS Education Evaluation

2022· article· en· W4224279388 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePOCUS Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsMedical educationPoint of care ultrasoundMedicinePopulationPsychologyUltrasoundRadiology

Abstract

fetched live from OpenAlex

Objective: At Texas College of Osteopathic Medicine (TCOM), point of care ultrasound (POCUS) is taught to medical students in conjunction with trained medical student teaching assistants (TAs). The purpose of our study is to evaluate the effectiveness of near peer teaching in the setting of ultrasound education. We hypothesized that this would be the preferred learning technique among TCOM students and TAs. Methods: To evaluate our hypotheses about the value of near peer instruction, we created two comprehensive surveys for students to share their experiences with the ultrasound program. One survey was for general students and the other survey was for students designated as TAs. The surveys were sent via email to second and third-year medical students. Results: General Student Population Survey Results: Of the 63 students who took the survey, 90.4% agreed that ultrasound is an integral part of medical education, 79.4% of students either agreed or strongly agreed that ultrasound improves their understanding of systems-based course material, 53.9% of students prefer near peer techniques over other teaching methods, while only 38.7% of students would prefer faculty-led sessions. 73% of students agreed that their ultrasound skills have improved with peer-led sessions, 71.4% of students agreed that peer-led sessions have made them want to pursue additional ultrasound training, and 96.8% of students report that they are very likely or somewhat likely to use POCUS in their future practice. Ultrasound Teaching Assistant Survey Results: Nineteen TAs responded to the survey, of which 78.9% assisted with more than 4 teaching sessions, 84.2% attended more than 4 TA training sessions, 94.7% reported spending additional time practicing ultrasound outside of TA activities each week, 100% agreed or strongly agreed that being an ultrasound TA has helped their medical education, and 78.9% either agreed or strongly agreed that they feel competent in their ultrasound skills. Among TAs, 78.9% preferred near peer techniques over other teaching methods, 100% agreed or strongly agreed that being a TA has helped develop their ultrasound skills, and 100% were likely or very likely to use POCUS in their future practice. Conclusions: Based on the results of our surveys, we were able to conclude that near peer teaching is the preferred learning method among students at our institution, and TCOM students found ultrasound to be a beneficial adjunct to systems courses in medical school education.

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)0.003
metaresearch head score (Gemma)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.000

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 head0.026
GPT teacher head0.389
Teacher spread0.363 · 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