26 Not What Clinicians Thought: Decisional Regret in Parents of Extremely Preterm Children
Notice bibliographique
Résumé
Abstract Background Preterm birth is associated with higher risk of death and severe neurodevelopmental impairment. There is an increased risk in extremely preterm infants, raising questions among ethicists and clinicians as to whether providing active care to infants born at the lower extreme is worth the outcomes, and if these outcomes are a source of decisional regrets for parents. Objectives Explore decisional regrets in parents of extremely preterm children. Design/Methods We consecutively recruited all parents of infants born <29 weeks’ gestational age, aged between 18 months corrected age and 7 years, and seen for neonatal follow-up at a single tertiary center over a one-year period. We asked the following question: “Knowing what you know now, is there anything you would have done differently?” Answers were analyzed independently by two reviewers using qualitative methodology, and discrepancies were resolved by a third reviewer. Mixed methods were used to examine the frequency of each theme and associate parental answers to demographic and clinical factors. Results Responses were obtained from 249 parents (98% participation rate). The following main themes emerged: (1) Nothing – I did what I could or was told to do: 53%; (2) Regrets about self-care: 31%; “I would listen to the nurses’ advice to sleep more” (3) Guilt related to the impression preterm labor could have been prevented by them or the medical team: 19%; “I would have pushed for better care and monitoring during pregnancy. I felt as though I wasn’t listened to when I thought I was in labour when sure enough I was” (4) Regrets about parental role in decision-making: 15%; “I would speak up more at the beginning of the hospitalisation”. None of the parents reported on regretting any life-and-death decisions they made at birth and in the neonatal unit. Conclusion In our cohort, more than half of parents of surviving preterm infants did not have any regrets associated to their NICU experience. However, lessons can be learned to improve parental support, self-care and solutions to improve their role as parents. Unlike what can be stated using “opinion-based medicine”, limiting or forgoing intensive care is not a solution to eliminate decisional regrets in parents.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,016 | 0,079 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,004 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».