Prescribing practices and attitudes toward giving children antibiotics.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To investigate whether overprescribing is common in treatment of pediatric upper respiratory infections and to examine factors that influence prescribing antibiotics for children. DESIGN: A random, stratified sample of practising family physicians was surveyed with a mailed questionnaire. Initial nonresponders were mailed a second questionnaire. SETTING: British Columbia. PARTICIPANTS: A total of 608 general and family physicians. Response rate was 64%; 392/612 surveys were completed. MAIN OUTCOME MEASURES: Physicians' self-reported prescribing practices and knowledge of and attitudes toward using antibiotics for children's upper respiratory tract infections. RESULTS: Relative to treatment guidelines developed for the study, most physicians responded appropriately to the cough (94%) and lobar pneumonia (99.1%) vignettes. More than half the physicians (56.5%) reported they would immediately prescribe antibiotics for tympanic membrane dysfunction, and 79.4% indicated they would prescribe antibiotics for pharyngitis without obtaining a laboratory culture. Approximately 25% of physicians in the study did not believe that prior antibiotic use increased personal risk for acquiring drug-resistant infection, and 23.1% did not believe that antibiotic use was an important factor in promoting resistance in their communities. CONCLUSION: Education in current treatment of pediatric upper respiratory tract illnesses and antimicrobial drug resistance is required. The high response to the questionnaire (64%) and the many requests from physicians to receive the project's educational materials (45%) indicate a high level of interest in this subject.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it