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Record W2792173451 · doi:10.21037/aes.2018.ab038

AB038. Assessing a novel approach to teaching ophthalmoscopy to medical student

2018· article· en· W2792173451 on OpenAlexaff
Étienne Bénard-Séguin, Jason M. Kwok, Walter Liao, Stephanie Baxter

Bibliographic record

VenueAnnals of Eye Science · 2018
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Visual Health Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsOphthalmoscopyOptometryOphthalmologyComputer scienceMedicineMedical education

Abstract

fetched live from OpenAlex

Background: To determine if practice using an online fundus photograph program results in a long-term increase in proficiency with the direct ophthalmoscope in medical students. Methods: This study was a prospective medical education trial. Students were enrolled to participate in an objective structured clinical examination (OSCE) using five patients with ocular findings. Students who matched a minimum of 6 discs 17 months prior to the study were assigned to the intervention group and were compared to students who did not participate in the exercise. Participants: 46 second-year medical students at Queen’s University: 15 in the intervention group, 31 in the control group. Students were evaluated using the Queen’s University Ophthalmoscopy OSCE Checklist (QUOOC). Students were asked to calculate the cup-to-disc ratio, comment on disc margins and if there was any macular pathology. Students participated in a summative OSCE as part of the curriculum in which all students attempted to match fundus photographs. Results: Students in the intervention group performed significantly better on the QUOOC with a mean score of 78.3% (+/−4.2%) compared to the control who had a mean score of 69.4% [+/−4.2% (P=0.007)]. The intervention group was significantly more accurate at matching optic nerve photographs with 100% (15/15) of the students correctly identifying the correct optic nerve on first attempt compared to 53.3% (16/30) in the control group (P=0.0014). Conclusions: The use of an online peer fundus photograph program leads to a long-term increase in examination technique, proficiency in ophthalmoscopy and accuracy at matching optic nerve photographs.

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)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.531
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.395
GPT teacher head0.661
Teacher spread0.267 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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