A model of well‐being for children with neurodevelopmental disorders: Parental perceptions of functioning, services, and support
Notice bibliographique
Résumé
BACKGROUND: Both child function and supports and services have been found to impact the well-being of parents of children with neurodevelopmental disorders (NDD). The relationship between function and services and the well-being of children with NDD is less well-understood and is important to clarify in order to effect program and service change. METHODS: The current project assessed whether child function as well as the adequacy of formal supports and services provided to children and their families were predictive of child well-being. Well-being was assessed using a measure of quality of life developed for use with children with NDD. Data from 234 parents were analysed using structural equation modelling. RESULTS: Each predictor was found to load significantly on the overall outcome variable of well-being. Parent concerns about child function were significantly related to child well-being; parents who reported more concerns about their children's functioning reported lower levels of child well-being. Unmet needs for formal supports and services were also significantly related to child well-being; parents who reported that more of their children's and family's service needs were unmet reported lower child well-being. An indirect relationship was also found between child function and child well-being. When parents reported that their formal support needs were adequately met, their children's functional difficulties had a lower impact on parent perceptions of their children's overall well-being. CONCLUSIONS: Taken together, the results of the current study enrich our understanding of well-being for children with NDD. Discussion focuses on the service implications for children with NDD and their families.
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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 | 0,000 |
| Études des sciences et des technologies | 0,001 | 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 ».