Relationship Between Site of Training and Residents' Attitudes About Neonatal Resuscitation
Bibliographic record
Abstract
OBJECTIVE: To determine whether the attitudes of pediatric and obstetric residents concerning the resuscitation of extremely preterm infants, and their knowledge of outcomes, varies according to their center of training and its resuscitation practices. DESIGN: Anonymous questionnaire. SETTING: Four province of Quebec, Canada, university centers. PARTICIPANTS: A total of 165 pediatric and obstetric residents. INTERVENTIONS: Survey of attitudes about resuscitation of neonates born between 23 and 27 weeks of gestation, and knowledge of the prevalence of cerebral palsy in survivors. MAIN OUTCOME MEASURES: Proportion of residents who would resuscitate a depressed, very preterm infant, and the proportion who overestimated the prevalence of cerebral palsy. RESULTS: The percentage of residents who would resuscitate a depressed infant born at 24 weeks varied from 11% to 39% between centers, at 25 weeks between 26% and 69%, and at 26 weeks between 51% and 86%. At the center most likely to intervene for very immature infants, the greatest proportion of residents favored resuscitation at each gestational age. At the least interventionist center, the smallest proportion would resuscitate. The center of training was the only factor related to willingness to resuscitate at 24, 25, 26, and 27 weeks of gestation; not age, years of training, religion, sex, or parental status (whether the person surveyed has children). A total of 53% of residents thought the prevalence of cerebral palsy was 25% or 40% in this population. Residents with a more accurate knowledge of outcome were more likely to want to resuscitate very immature infants. CONCLUSION: Different treatment centers may develop their own ethos regarding resuscitation, which then shapes both the way the residents understand epidemiological data and how they make decisions.
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 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 | 0.001 | 0.010 |
| 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) | 0.004 | 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".