EU NAVIGATE: Developing a European navigation intervention for older people with cancer and their family caregivers
Notice bibliographique
Résumé
Background: Most people who have cancer are older people, and this affects millions of Europeans yearly. Integrating high-quality, equitable, and cost-effective care across the continuum of supportive, palliative, end-of-life, and survivorship care for both patients and family caregivers is highly relevant from a healthcare, prevention, and economic perspective. Aims: EU NAVIGATE is an interdisciplinary, cross-country, and intersectoral project funded by the European Union and aiming to evaluate the effectiveness and cost-effectiveness of a patient and family navigation intervention (NavCare-EU) for older people with cancer and their family caregivers in different healthcare systems in Europe. It focuses on reaching underserved individuals, supporting and empowering them to access their own networks and available resources within their community. As the first step, the existing and promising Canadian Nav-Care intervention from will be adapted, contextualized, standardized and pilot-tested across six European countries. Concept and methods and anticipated results: NavCare-EU is a person- and family-centered non-pharmacological intervention in which volunteer navigators collaborate with patients and families to facilitate timely and equitable access to health and social care services and resources as needed. The Nav-CARE intervention involves a navigation model, including international blended training, and various tools to support navigators. We will share the model, different roles involved and training packages. Following the ADAPT guidance, the Nav-Care intervention will be translated and adapted in close collaboration with Local Adaptation Teams diverse users, and other stakeholders (according to principles of Patient and Public Involvement). To contextualize the original intervention, we follow the extended Normalization Process Theory. An International Oversight Group will safeguard the original intervention’s integrity and key components using the Model for Adaptation Design and Impact (MADI) to guide decision-making around the design of adaptations. The feasibility of the Nav-CARE intervention within local settings will be reviewed across countries in a pilot study to understand the practicalities of implementation, maximize feasibility, and troubleshoot issues that arise during implementation. Effectiveness and cost-effectiveness will be evaluated through an international pragmatic randomized controlled trial. Impact: The EU NAVIGATE will shift the state of the art of cancer care in Europe by providing an innovative solution to the complex care needs experienced by older cancer patients and their families. we pay particular attention to local healthcare contexts to ensure optimal implementation. We will present the final program ready for testing at the conference.
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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 | 0,003 | 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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| 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 ».