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Record W2587232809 · doi:10.1093/pch/14.suppl_a.20aa

A Palatability of Oral Rehydration Solutions (Pors) Study

2009· article· en· W2587232809 on OpenAlexaffabout
Stephen B. Freedman, D Cho, Kathy Boutis, Derick Stephens, Suzanne Schuh

Bibliographic record

VenuePaediatrics & Child Health · 2009
Typearticle
Languageen
FieldMedicine
TopicThermal Regulation in Medicine
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsPalatabilityMedicineBusinessFood scienceChemistry

Abstract

fetched live from OpenAlex

25 surveys were completed by PEM fellows.Fellows agreed that simulations were realistic (average score 4.40).The debriefing sessions were found to be helpful and a positive learning experience (average score 4.45).Instructors were enthusiastic, knowledgeable, and provided a safe learning environment (average score 4.79).PEM fellows enjoyed learning in a multidisciplinary team, found training at the simulator useful, and thought that it should be a mandatory part of their education (average score 4.84). CONCLUSION:We have successfully integrated a simulation-based acute care curriculum into our PEM fellowship program with high satisfaction ratings.Future research will need to be done to assess educational outcomes related to this curriculum.31 oNdaNsetroN adMiNistratioN iN eMerGeNcy dePartMeNts to childreN With GastroeNteritis: a cost-BeNefit aNd cost-effectiVeNess aNalysis *s freedman, M steiner, K chan the hospital for sick children, toronto, ontario BACKGROUND: Ondansetron use in children with gastroenteritis induced vomiting remains a controversial topic despite evidence of clinical effectiveness.Due to the expense of ondansetron, recent clinical practice guidelines have suggested that evidence of cost-effectiveness is necessary to support its routine use.OBJECTIVE: To formally assess the balance of benefits, costs and effects of ondansetron use for children in the Emergency Department (ED) with dehydration and vomiting due to gastroenteritis. DESIGN/METHODS:We conducted a cost-benefit and cost-effectiveness analysis from both health care and societal perspectives using deterministic and Monte Carlo simulations.A decision analysis tree for hypothetical children presenting to an ED, based on previously published ondansetron studies, was developed.The decision tree incorporated the frequency of vomiting, intravenous insertion, hospitalization and ED revisits.We used Canadian and U.S. national databases to derive estimates of the monetary costs associated with the various outcomes and ondansetron use.The economic burden amongst children who are administered ondansetron was compared to those who are not administered ondansetron.RESULTS: U.S.: The analysis was based on an annual hypothetical ED cohort of 269,177 children presenting for care with gastroenteritis, vomiting and mild to moderate dehydration.The routine administration of ondansetron to eligible children would prevent 45,392 intravenous insertions and 11,277 hospitalizations annually.The break-even price per ondansetron dose administered was $356 from the societal perspective and $302 from the health care perspective.At the current average wholesale price, its routine administration would annually save society $91.0 million and the health care system $74.0 million.Canada: The routine administration of ondansetron to a hypothetical cohort of 37,411 annual eligible pediatric ED visits would prevent 6,309 intravenous insertions and 1,567 hospitalizations.The break-even price/dose administered was $59 from the societal perspective and $56 from the health care perspective.Its routine administration would annually save society $1.8 million and the health care system $1.7 million.CONCLUSIONS: From both societal and health care perspectives, the administration of ondansetron to children with dehydration and vomiting secondary to infectious gastroenteritis is cost-effective and provides significant savings.

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)0.001
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 score0.070
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.029
GPT teacher head0.335
Teacher spread0.307 · 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

Citations0
Published2009
Admission routes2
Has abstractyes

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