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Record W4402145188 · doi:10.1177/1942602x241268803

Increasing Access to Undesignated Asthma Medication in Illinois

2024· article· en· W4402145188 on OpenAlexaff
Rebecca Boston, Haley Sachs

Bibliographic record

VenueNASN School Nurse · 2024
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsAsthmaMedicineAsthma medicationEmergency departmentFamily medicinePopulationAsthma exacerbationsMedical emergencyAsthma managementAsthma attackNursingEnvironmental health

Abstract

fetched live from OpenAlex

Asthma is common among the pediatric population. Exacerbations of this chronic condition can lead to emergency department visits and hospitalizations, resulting in time away from school. Children spend the majority of their day at school, where they may need access to quick relief medication to treat respiratory distress. Students' personal asthma medication is not always available in school. School nurses in Illinois collected data and undertook a quality improvement project to increase the number of schools in North Suburban Cook County with undesignated asthma medication. A toolkit was created and shared, helping to remediate barriers associated with obtaining undesignated asthma medication. With access to undesignated asthma medication, school nurses ensure students with asthma receive prompt treatment and coordination of care.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.074
GPT teacher head0.491
Teacher spread0.417 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

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