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Record W2332518105 · doi:10.1155/2005/565862

Asthma Management at Discharge from the Emergency Department: A Descriptive Study

2005· article· en· W2332518105 on OpenAlexafffundabout
P Gervais, Isabelle Larouche, Lucie Blais, Anne Fillion, Marie-France Beauchesne

Bibliographic record

VenueCanadian Respiratory Journal · 2005
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversité de MontréalHôpital du Sacré-Cœur de Montréal
FundersCanadian Institutes of Health ResearchGlaxoSmithKlineAstraZeneca
KeywordsMedicineEmergency departmentAsthmaExacerbationAsthma managementAsthma exacerbationsEmergency medicinePatient dischargePediatricsMEDLINEInternal medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: The management of asthma remains suboptimal despite the publication of Canadian asthma guidelines in 1999. OBJECTIVES AND METHODS: A descriptive study was conducted to estimate the proportion of patients admitted to the emergency department (ED) for an asthma exacerbation who received a management plan at discharge that was in accordance with seven criteria stated in the Canadian asthma guidelines. The present study took place in two tertiary care hospitals in Montreal, Quebec. RESULTS: A total of 37 patients were enrolled. Three (8%) patients received a management plan at discharge that was in accordance with all seven criteria. Inhaled corticosteroids and oral corticosteroids were prescribed at discharge for 29 (78%) and 35 (95%) patients, respectively. Minimal asthma education was provided for 29 (78%) patients and a medical follow-up was recommended to 22 (60%) patients. Airflow obstruction was evaluated at discharge for only 20 (54%) patients. CONCLUSION: Overall, asthma management at discharge from the ED was generally not in accordance with the 1999 Canadian asthma guidelines. A standardized management plan should be implemented in the ED to improve the care of patients with asthma exacerbations.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score0.997

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.023
GPT teacher head0.266
Teacher spread0.243 · 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

Citations15
Published2005
Admission routes3
Has abstractyes

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