Preparation for Discharge, Maternal Satisfaction, and Newborn Readmission for Jaundice: Comparing Postpartum Models of Care
Bibliographic record
Abstract
BACKGROUND: Physiological jaundice generally appears between the third and fifth days of life. The danger of hyperbilirubinemia is therefore a major challenge when postpartum hospital stays are short, and part of the responsibility for screening for signs of jaundice is assumed by the mother. The objective of this study was to identify the model of postnatal continuity of care most likely to prepare mothers for discharge, to reduce newborn readmission for jaundice, and to enhance maternal satisfaction. METHODS: An epidemiological study was conducted in regions operating under 3 different models of postnatal continuity of care. Eligible mothers were those who had spent less than 60 hours in hospital after an uncomplicated vaginal delivery. Of this group, 70.8 percent participated in telephone interviews conducted 1 month after their deliveries (n=1,096). Newborns who had presented with signs of jaundice were identified through statements from their mothers. RESULTS: Of the participating newborns, 45.5 percent presented with signs of jaundice, and 3.2 percent were readmitted for jaundice during the first week of life. The follow-up procedures used in regions operating under a community-based model most closely followed the recommendations of health authorities and featured a high level of mothers' satisfaction. In the region operating under a mixed hospital model, mothers reported signs of jaundice significantly more often, and postdischarge services received by mothers were less effective at allaying their fears compared with other models. Phototherapy was offered in the home only in the region operating under a mixed ambulatory model, and no readmissions for jaundice were recorded in this region. CONCLUSIONS: An effective coordination between community-based perinatal services and hospital-linked home phototherapy in the form of an integrated network appears to be an essential condition for improved monitoring of newborns' health since it fosters a follow-up that is focused not only on jaundice but also on mothers' and newborns' needs while reducing the costs generated by newborn readmissions.
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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".