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A bundle improves eye care in PICU

2016· article· en· W2342864917 on OpenAlexfundno aff
Karen McCall, Hussin M. Hussin, Maria Elena Gregory, Gordon N. Dutton, Julie Richardson

Bibliographic record

VenueArchives of Disease in Childhood · 2016
Typearticle
Languageen
FieldMedicine
TopicIntraoperative Neuromonitoring and Anesthetic Effects
Canadian institutionsnot available
FundersHospital for Sick Children
KeywordsMedicineBundlePediatricsOptometryMedical emergency

Abstract

fetched live from OpenAlex

BACKGROUND: Intensive care patients are susceptible to developing painful corneal epithelial deficits. Provision of eye care to prevent deficits was limited in our paediatric intensive care unit (PICU) population. INTERVENTIONS: A new eye care bundle was introduced, comprising a guideline for eye care, the addition of eye lubricants to the electronic prescribing order set for new admissions to PICU and staff education on the importance of eye care. Weekly examinations over a 2-month period following implementation of the bundle evaluated eye care provision and presence of corneal epithelial deficits on ophthalmic examination. RESULTS: Provision of formal eye care improved from 19% to 96%. The incidence of deficits was lower than previously, simple eye ointment reduced the risk of deficits, even in incompletely closed eyes. CONCLUSIONS: Use of an eye care bundle, together with a multidisciplinary team approach to eye care, improves the provision of eye care in PICU.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.100
Threshold uncertainty score0.328

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.004
GPT teacher head0.250
Teacher spread0.246 · 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

Citations6
Published2016
Admission routes1
Has abstractyes

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