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Record W3156240412 · doi:10.18192/uojm.v10i2.4851

Evaluation of the Effectiveness of Ophthalmology Emergency Clinic Intake Forms

2021· article· en· W3156240412 on OpenAlexaffvenueabout
Kaisra Esmail, Keean Nanji, Setareh Ziai

Bibliographic record

VenueUniversity of Ottawa Journal of Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Visual Health Research
Canadian institutionsMcMaster UniversityUniversity of Ottawa
Fundersnot available
KeywordsMedicinePopularityFamily medicineEmergency departmentEmergency medicineOphthalmologyMedical emergencyNursingPsychology

Abstract

fetched live from OpenAlex

Objective: To evaluate the effectiveness of a novel patient intake form in an emergency ophthalmology clinic at a Canadian academic center. Despite the popularity of intake forms, they have not been previously reported in the literature in an emergency ophthalmology clinic setting.
 Methods: All new patients at the University of Ottawa emergency ophthalmology clinic were provided with a patient intake form to complete while waiting to be seen. Ophthalmology residents and nurses at the University of Ottawa completed an effectiveness survey evaluating the benefits of these forms after 24 months of use. Emergency ophthalmology clinics at other Canadian academic institutions were questioned regarding their use of patient intake forms. 
 Results: Nine residents and two nurses completed the effectiveness survey. The mean (SD) score assessing the use of the form (1=never, 5=every patient encounter) was 3.90 (1.20). The greatest perceived benefit involved improved clinic efficiency (91%). All (100%) of responses indicated that the form should continue to be used in practice. Of the other 14 ophthalmology residency programs in Canada, nine currently do not use an intake form, two have forms completed by nurses and three utilize a form but are dissatisfied with their results.
 Conclusions: Our results suggest that there are benefits with respect to clinic efficiency, accuracy of medical information, collaboration between healthcare professionals, and patient satisfaction when utilizing patient intake forms in an emergency ophthalmology setting. The use of similar forms may provide an opportunity to improve clinical practice at other academic institutions within Canada.

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)0.010
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 score0.014
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0040.000

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 head0.147
GPT teacher head0.469
Teacher spread0.322 · 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

Citations0
Published2021
Admission routes3
Has abstractyes

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