Health care transition in pediatric neurosurgery: a consensus statement from the American Society of Pediatric Neurosurgeons
Notice bibliographique
Résumé
OBJECTIVE: The number of children with complex medical conditions surviving to adulthood is increasing. A planned transition to adult care systems is essential to the health maintenance of these patients. Guidance has been established for the general health care transition (HCT) from adolescence to adulthood. No formal assessment of the performance of pediatric neurosurgeons in HCT has been previously performed. No "best practice" for this process in pediatric neurosurgery currently exists. The authors pursued two goals in this paper: 1) define the current state of HCT in pediatric neurosurgery through a survey of the membership of the American Society of Pediatric Neurosurgeons (ASPN) on current methods of HCT, and 2) develop leadership-endorsed best-practice guidelines for HCT from pediatric to adult neurosurgical health care. METHODS: Completion of the Current Assessment of Health Care Transition Activities survey was requested of 178 North American pediatric neurosurgeons by using a web-based questionnaire to capture HCT practices of the ASPN membership. The authors concurrently conducted a PubMed/MEDLINE-based literature review of HCT for young adults with special health care needs, surgical conditions, and/or neurological conditions for the period from 1990 to 2018. Selected articles were assembled and reviewed by subject matter experts and members of the ASPN Quality, Safety, and Advocacy Committee. Best-practice recommendations were developed and subjected to peer review by external expert groups. RESULTS: Seventy-six responses to the survey (43%) were received, and 62 respondents (82%) answered all 12 questions. Scores of 1 (lowest possible score) were recorded by nearly 60% of respondents on transition policy, by almost 70% on transition tracking, by 85% on transition readiness, by at least 40% on transition planning as well as transfer of care, and by 53% on transition completion. Average responses on all core elements were < 2 on the established 4-point scale. Seven best-practice recommendations were developed and endorsed by the ASPN leadership. CONCLUSIONS: The majority of pediatric neurosurgeons have transition practices that are poor, do not meet the needs of patients and families, and should be improved. A structured approach to transition, local engagement with adult neurosurgical providers, and national partnerships between pediatric and adult neurosurgery organizations are suggested to address current gaps in HCT for patients served by pediatric neurosurgeons.
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 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 | 0,054 | 0,055 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,005 | 0,005 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,004 | 0,005 |
| Science ouverte | 0,005 | 0,007 |
| Intégrité de la recherche | 0,009 | 0,014 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».