Abstract B043: The MedSupport multilevel intervention to improve pediatric medication adherence: Results from a pilot study
Notice bibliographique
Résumé
Abstract Introduction: Nonadherence to oral chemotherapy is a well-documented problem in pediatric oncology. Medical innovations have dramatically increased the range of treatment that can be administered at home, increasing the responsibility placed on families in contributing to pediatric cancer outcomes. Yet, caregivers experience numerous barriers to adherence. Using the Health Belief Model, we developed MedSupport, a multi-level medication adherence that is designed to address root barriers to medication adherence. Design, Setting, Participants, and Measures: The MedSupport intervention was developed in collaboration with Pediatric Cancer Caregiver and Healthcare Provider Advisory Boards and includes three components. (1) Universal screening for adherence barriers (2) Tailored virtual education enhancement and (3) Communication of barriers to activate multidisciplinary healthcare teams. To assess feasibility and acceptability of the intervention following Bowen’s model, we recruited caregivers of pediatric acute lymphoblastic leukemia (ALL) patients ages 1 to 18 on oral home-based chemotherapy. All eligible families receiving outpatient-based chemotherapy at Roswell Park during April and May 2023 were approached for participation. Multidisciplinary healthcare providers who were on the care teams of enrolled patients were invited to participate. Acceptability among caregivers and healthcare providers was assessed using standardized measures aligned with the Implementation Outcomes Framework. Results: We implemented a pilot study of the MedSupport intervention at Roswell Park and we successfully implemented all study procedures. We demonstrated feasibility through: (1) Demand: 100% of eligible caregivers (N = 6) and healthcare providers (N = 8) approached agreed to participate. (2) Practicality: 100% of families completed the barriers screening questionnaire on the first prompt.All families endorsed adherence barriers (Range: 3-14). Families received between 2 and 6 educational videos based upon barriers endorsed. All families rated the length of videos as “just right.” Sending barrier alerts to healthcare providers was feasible, and we did not encounter any technical problems sending barrier alerts. (3) Acceptability: Caregivers rated the intervention as acceptable (Mean: 4.92), appropriate (Mean: 4.71), and feasible (Mean: 5). Healthcare providers rated the intervention as acceptable (Mean: 4.68), appropriate (Mean: 4.61), and feasible (Mean: 4.68). In qualitative feedback providers described the intervention as low burden and clinically helpful. Conclusions and Relevance: The MedSupport intervention is an innovative, low-cost, and scalable intervention to enhance home-based medication adherence in pediatric ALL that has potential for translation to clinical practice. Citation Format: Kara Kelly, Paula Vincent, Hital Patel, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa Rodriguez, Kristopher Attwood, Elizabeth Bouchard. The MedSupport multilevel intervention to improve pediatric medication adherence: Results from a pilot study [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pediatric Cancer Research; 2024 Sep 5-8; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl):Abstract nr B043.
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 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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 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 ».