Youth, Caregiver, and Provider Perception of the Transition from Pediatric to Adult Care for Youth with Chronic Diseases
Notice bibliographique
Résumé
OBJECTIVE: Youth with chronic diseases are required to transition from pediatric to adult care across the world at variable ages in their adolescent years. The aim of this study is to examine perspectives of young patients, caregivers, and physicians in the transition process. METHODS: This 3-phase mixed methods research study gathered data using an iterative approach with the collaboration of youth coresearchers. Physician opinions were gathered through a survey. Further data were collected through 15 semistructured, standardized interviews of adolescent medicine physicians. Perspectives of adolescents and young adult (AYA) patients and their caregivers were gathered independently using a 20-item survey. Quantitative data were analyzed with descriptive statistics and sorted by theme. RESULTS: In phase 1, respondents rated current transition processes as an average 5.19/10 on a 10-point Likert scale (1 = poor and 10 = excellent) with no participants rating 9 or 10 of 10. The top barrier identified was a lack of communication between pediatric and adult doctors (71.0%). The top ranked strategy for improvement was to provide formal transition guidelines (69.8%). In phase 2, specific concerns include lack of insurance coverage, lack of physicians available to take on youth transitioning to adult care who are also knowledgeable regarding pediatric conditions, and lack of funding or staff support for transition clinics. In phase 3, most of the youth surveyed (52%) reported that their physicians have not involved them in conversations about transitioning. AYA patients prefer the point of transfer to occur with other life transitions such as graduation, and caregivers prefer transfer to happen during times of stability where their children can dedicate adequate time to their health. CONCLUSION: Fulfilling youth desire for increased patient autonomy and ownership can help overcome their poor perception of the transition process. Increased physician training in adolescent health and improvements in post-transition community plans may be beneficial to prevent loss to follow-up among young patients across medical disciplines. Successful transition into adult care requires a unique process for each youth and requires adequate preparation from the pediatric front, empowerment of young patients and their families, and continuity of care by adult providers.
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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 | 0,001 |
| 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 | 0,001 |
| 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 ».