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Record W2790054620 · doi:10.1111/cxo.12681

Optometric infection control guidelines assessing patients with methicillin‐resistant Staphylococcus aureus

2018· review· en· W2790054620 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.

Bibliographic record

VenueClinical and Experimental Optometry · 2018
Typereview
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsStaphylococcus aureusInfection controlMethicillin-resistant Staphylococcus aureusMedicineStaphylococcal infectionsMicrobiologyIntensive care medicineBiologyBacteria

Abstract

fetched live from OpenAlex

The purpose of this scoping review was to present the state of research regarding optometric infection control guidelines for the assessment of patients with methicillin-resistant Staphylococcus aureus (MRSA) and to identify any areas requiring further research. Twelve articles were carefully chosen for review. Data extracted included information regarding appropriate handwashing methods (five articles), indications for use of personal protective equipment (one article), management of surfaces that come in contact with an MRSA-infected person (three articles), recommendations for patient appointment scheduling/seating (three articles) and suggestions for staff training (three articles). The results of the review demonstrated that there exist many gaps in the literature regarding comprehensive optometric-specific infection control guidelines. Further research regarding appropriate handwashing methods, equipment disinfection techniques, extent and breadth of staff training and indications for use of personal protective equipment is required to better understand what precautions must be taken in an optometric setting when encountering patients with MRSA.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.932
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.088
GPT teacher head0.472
Teacher spread0.384 · 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