81 The Use of Online Care-Maps for Children with Medical Complexity
Notice bibliographique
Résumé
Abstract Primary Subject area Complex Care Background Children with medical complexity (CMC) are a highly medicalized population of children who require specialized care across various settings including the hospital, home and community, making care coordination challenging. Care-maps, a visual representation of the people and places involved in a patient’s care, are one such tool to facilitate care coordination (Figure 1). To date, care-maps have not yet been used in a clinical environment, examined in real time or used via a standardized approach. Objectives The aims of our study were to develop a shareable standardized online tool that supports the parental creation of a care-map, and to assess the utility of care-maps in clinical care from a parent, health care provider (HCP), and community perspective. Design/Methods Parents of CMC were invited to use a standardized online care platform called Connecting2gether for 6-months and create online care-maps that could be shared with their HCPs and other community members (i.e., teachers, secondary caregivers). Demographics and internet usage surveys were completed at baseline and an acceptability survey was completed at 6-months. Surveys were analyzed using descriptive methods and care-maps were analyzed via descriptive visual analysis. Results Thirty-seven parents enrolled on the platform and 25 (70%) created a care-map and used it for the duration of the study. Of the 25, 14 (66%) went back and made revisions and 17 (80%) reported using it in clinic, home or school. Visual analysis demonstrated 11 categories (bubbles) that were commonly included. All care-maps included a Medical Team, School/Daycare and Family and Friends category, which automatically populated. The majority of care-maps included a central child bubble with the child’s photo (92%), and Community Medical Services (i.e. rehab centers) (60%). Less frequent categories included Home Care (28%), Goals (16%), and 12% included What I Like, Funding, and Community/Foundation individual bubbles. Some parents reported initial uncertainty, but at end-of-study, some reported care-maps as the most useful feature of the platform. Fifty seven percent (12/23) of HCPs viewed the created care-map and only 20% used it in the child’s care. The majority (83%) of HCPs specifically valued seeing the big picture of the child’s care, found it easy to navigate and the detail it provided. Conclusion The ability of care-maps to illustrate the intricate web of medical and non-medical care supporting CMCs in their daily life provides insight and value for parents, HCPs and non-HCPs. Care-maps were found to be valuable from the perspective of HCPs. Parents reported initial uncertainty, highlighting the importance of the HCP promoting the use of care-maps with their patients and families.
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 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 | 0,001 |
| 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 | 0,002 |
| 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 ».