Preparation for Discharge, Maternal Satisfaction, and Newborn Readmission for Jaundice: Comparing Postpartum Models of Care
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».