STEP-1: A SickKids pilot providing upfront financial support for pediatric and adolescent patients travelling to access academic phase 1-2 studies in Canada.
Notice bibliographique
Résumé
e13501 Background: Equitable access to early phase trials for all Canadian children with hard-to-cure cancer is crucial. While industry-sponsored studies cover travel costs, academic trials lack similar resources. STEP-1 provides upfront financial support for patients (pts) to travel and access academic early phase trials at SickKids. Here, we report pt demographics, financial metrics and initial feedback from healthcare providers (HCP) and families for pts supported between Mar-Dec 2024. Methods: Eligible studies were academic-sponsored early phase trials. Pts were eligible for financial support from study consent, without any income-based criteria. STEP-1 covered upfront costs for travel, accommodation, meals, parking and transportation for pt and one caregiver. Data on tumor diagnosis, home address and expenses related to study visits were collected. Our target recruitment was 10 pts in 12 months (mo) (0.8 pt/mo). As part of an approved quality improvement project, electronic surveys were sent to families and referring HCP to evaluate their experience. Results: Ten studies were eligible, with SickKids being the only Canadian site for 5. Fifteen pts (1.6 pt/mo), in 5 studies, were supported for a median time of 4.2 mo (0-9.2). Twelve pts remained on-study at data cut-off. Ten pts were from Ontario, 5 travelled from out-of-province. The median expense per pt was 11,259 CAD (1,165-27,000) for a median of 4 visits (1-46). Ten families were contacted for a baseline survey with a 70% response rate. Three pts had previously participated in trials without any study financial support. All families (7/7) reported that the petty cash provided was sufficient to cover their expenses and rated the accommodation/travel booking process as very good/excellent. Eleven referring HCP teams were contacted with a response rate of 46% (5/11). Seven responses were received for 5 pts, as up to 3 HCP were surveyed per pt. All HCP (7/7) had previously referred a pt for a phase 1-2 study at SickKids. Their most useful resource about early phase studies (7/7) and STEP-1 (5/7) was direct communication with disease expert or study team. Six of 7 families and 3/3 HCP declared that the decision to participate would have been the same without STEP-1. All families (7/7) and HCP (6/6) rated communication with STEP-1 as very good/excellent. All HCP (6/6) declared minimum support was required once pts were enrolled and supported. Conclusions: Recruitment for STEP-1 exceeded our target by 100%, with positive feedback from both families and referring HCP. The demonstrated need to better support pediatric pts in accessing academic early phase trials has inspired a national expansion, supported by the pan-Canadian ACCESS consortium, with new sites in British Columbia and Québec. Our continued goal will be to address access inequities and increase pt diversity in early phase academic trials.
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 | 0,014 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 0,002 |
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 ».