Health status and health care utilization profiles of adolescents with disabilities
Notice bibliographique
Résumé
Background: Adolescents with physical disabilities of childhood often require a transition from pediatric to adult systems as part of life-long, comprehensive health care once they reach 18 years of age. The process of transition can be complex, challenging, and influenced by health-related factors and availability of health care resources. Objective: To provide a baseline profile of health-related quality of life, health management, social participation, and health care utilization for adolescents 16 years of age with spina bifida (SB), acquired brain injury (ABI), or cerebral palsy (CP) in Toronto, Canada. Methods: A cross-sectional survey design was used. A sample was drawn from a large, urban pediatric rehabilitation hospital as part of a prospective, longitudinal, observational mixed-methods study. Seven English language, paper-copy standardized measures were completed; measures were organized across the three domains of interest. Health care utilization data were obtained from population-based, health services administrative datasets held by ICES. These data included outpatient physician visits, emergency department visits, and hospitalizations over a 12-month period, beginning at their 16th birthday. Results: The sample comprised 99 participants: survey measures were completed by 59 participants (12 SB, 19 ABI, and 28 CP) and health care utilization obtained for 92 participants (19 SB, 25 ABI, and 48 CP). Baseline scores across measures and rates of health care utilization are provided. All three groups reported relatively good health-related quality of life. Youth with CP had lower scores on health utility, health management, and social participation, compared with the SB and ABI groups. Youth with SB had slightly higher health care utilization in the 12-month period after their 16th birthday, compared with the ABI and CP groups. Conclusions: This cross-sectional survey collected comprehensive health status and health care utilization data on 16-year-old youth with SB, ABI, and CP in Toronto, Canada. With few exceptions, the CP group consistently scored lower across measurement domains. These baseline data may be useful for hospital administrators, policy makers, and researchers examining changes in health-related quality of life, health management, social participation, and health care utilization among youth with SB, ABI, and CP, particularly in the context of transition planning and evaluation.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 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 ».