Oral versus intravenous: Rehydration preferences of pediatric emergency medicine fellowship directors
Bibliographic record
Abstract
OBJECTIVE: The American Academy of Pediatrics (AAP) recommends oral rehydration therapy (ORT) for management of uncomplicated childhood gastroenteritis with mild-moderate dehydration. However, ORT is widely underused relative to their recommendations. We compared ORT use by directors of Pediatric Emergency Medicine (PEM) fellowship training programs with AAP recommendations, and sought to identify their barriers to ORT. METHODS: Mail/fax survey of the directors of U.S. and Canadian PEM fellowship programs. The survey included 10 scenarios of mild or moderately dehydrated children with gastroenteritis, a personal innovativeness scale, self-assessment of ORT experience and knowledge, and open-ended questions regarding perceived barriers to ORT use. RESULTS: 60/67 (89.6%) PEM fellowship program directors responded. All reported experience with and knowledge about ORT. Only 10/58 (17.2%) believe ORT is usually better than intravenous (i.v.) rehydration in all 10 clinical scenarios, and only 4/58 (6.7%) usually use ORT in all 10 scenarios. 18/58 (31%) usually use ORT for all mildly but no moderately dehydrated children. ORT use did not correlate with personal innovativeness scores. Important barriers cited by respondents include additional time requirements for ORT relative to i.v. rehydration (76.7%) and expectation of i.v. rehydration by parents (41.7%) or primary care physicians (10%). CONCLUSIONS: Relative to AAP recommendations, PEM fellowship directors underuse ORT, especially for moderately dehydrated children. Physician innovativeness does not influence ORT use. Further study of effectiveness, length of stay, staff requirements, and ORT acceptance in the emergency department setting, especially in children with moderate dehydration, may influence ORT use.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".