Wearing identification wristbands: implications for newborn safety in maternity hospitals
Bibliographic record
Abstract
ABSTRACT Objective: to analyze the wearing of identification wristbands in newborns admitted in a public maternity hospital, regarding patient safety. Method: descriptive study, of the survey type, carried out in a reference public maternity hospital, through observations and interviews. Two hundred and sixty newborns were included. Results: 15.4% of the newborns had no identification wristbands, and 18% of the wristbands had data that did not match with the medical records. 90.9% of the wristbands were easily accessible for checking; however, in 80.9% of the cases, the wristband was not checked before the nursing procedures, and the mother or caregiver was not instructed on wearing the wristband in 76.8% of respondents. Conclusion and implications for practice: there should be training of the nursing team and other health professionals on the placement and daily checking of wristbands, considering international protocols and recommendations regarding patient safety.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".