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Record W2162440258 · doi:10.33151/ajp.7.1.155

A Cellulitis Guideline at a Community Hospital – We Can Reduce Costs by Standardizing Care

2009· article· en· W2162440258 on OpenAlexaff
Samuel Campbell, Rebecca Burton-MacLeod, Todd Howlett

Bibliographic record

VenueAustralasian Journal of Paramedicine · 2009
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineCellulitisGuidelineEmergency departmentEmergency medicineSurgeryNursing

Abstract

fetched live from OpenAlex

Objectives To assess whether there is: a) a clinical difference between patients with cellulitis treated according to the recommendations of a clinical cellulitis guideline, and those treated otherwise and b) a difference in the cost of antibiotic treatment of the two groups Methods Emergency Department (ED) patients diagnosed with cellulitis at a community hospital were graded using a 4-point scale, and physicians were encouraged to treat based on an established practice guideline. Patients were contacted 5 days after their ED visit, and again at 10 days if they had not improved by 5 days. Physician ‘compliance’ was defined as having followed three or more of the five elements of the guideline. Results Of the 272 patients, 147 (54.1%) were classified as Grade I, 53 (19.5%) Grade II, 33(12.1%) Grade III, and 6 (2.2%) Grade IV. In 12.1% the grade was not assigned. 43.5% were treated in compliance with the guidelines, of which 83.3% reported improvement at 5 days, compared to 87.7% of those treated otherwise. At 10 days, 98.8% of the patients treated in compliance with the protocol had improved compared to 94.7% of those treated otherwise. Average antibiotic cost/patient was: Grade 1: $8.48, Grade II: $16.65, Grade II: $96.53 in the ‘compliance’ group, and $35.68, $51.28, and $150.18 respectively in the ‘non-compliance’ group. Conclusion Patients treated in accordance with the cellulitis guideline had similar outcomes to those treated otherwise, at significantly lower cost. Efforts to encourage compliance with the guideline are indicated.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score0.827

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.017
GPT teacher head0.327
Teacher spread0.310 · 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 designNot applicable
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

Citations3
Published2009
Admission routes1
Has abstractyes

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