Development of a Screening Instrument to Improve Access to Follow-Up Care for Children With Complex Medical Conditions: The Virtually Guided Infant Developmental Abilities Tool
Notice bibliographique
Résumé
IMPORTANCE: Telerehabilitation helps overcome barriers to neonatal follow-up care for children with complex medical conditions; however, existing developmental assessment tools are not suitable for this virtual medium. OBJECTIVE: To create the Virtually Guided Infant Developmental Abilities (VIDA) screening tool, intended for children ages 1-18 mo. DESIGN: The VIDA screening tool was developed using the Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research framework. Phase 1 involved defining developmental domains, generating items via a literature scoping review, and assessing content validity through a modified Delphi survey. Phase 2 included a pilot test to ensure the tool's clarity and feasibility. SETTING: The VIDA screening tool was developed at the Kingston Health Sciences Centre in Kingston, Ontario, Canada, in a tertiary care setting. PARTICIPANTS: In Phase 1, which focused on content validity, a modified Delphi survey technique was undertaken with a total of 12 experts (10 occupational therapists, one physiotherapist, and one neonatologist). In Phase 2, which focused on scale development, a pilot test study was conducted with two occupational therapists and three families whose children necessitated neonatal follow-up care. RESULTS: The final VIDA screening tool includes 81 items that assess a child's gross motor, fine motor, self-care, and social communication and cognitive skills through prompted responses or parent-reported observations. CONCLUSIONS AND RELEVANCE: The VIDA screening tool was developed to increase accessibility to neonatal follow-up care for children with complex medical conditions. The tool consists of observations of a child's developmental abilities, made through a virtual platform, that can be used by most health professionals to identify children who need further developmental evaluations. Plain-Language Summary: The authors developed the Virtually Guided Infant Developmental Abilities (VIDA) screening tool to address the lack of virtual developmental assessments. It was created in accordance with the Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research framework. Phase 1 focused on item development and content validity and involved a modified Delphi survey administered to 12 health professional experts, including occupational therapists, a physiotherapist, and a neonatologist. Phase 2 involved scale development through a pilot test with two occupational therapists and three families whose children required neonatal follow-up care. The finalized VIDA tool includes two parts: Part 1 entails an intake form to gather information on parents' concerns about their children's development, and Part 2 includes 81 items that assess gross motor, fine motor, self-care, and social communication and cognitive skills through parent-reported observations or prompted responses. Designed for use by most health professionals, the VIDA tool improves accessibility to follow-up care by enabling virtual evaluations of developmental abilities, thereby helping identify children who need in-depth developmental assessments. The VIDA screening tool offers occupational therapists a promising approach to support early developmental monitoring of high-risk infants.
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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 | 0,018 | 0,047 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,004 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».