Abstract PO-021: A hub and spoke model to improve cancer care quality: Advancing Cancer Care Together (ACCT) for Asian American Medicaid beneficiaries in Orange County, California
Notice bibliographique
Résumé
Abstract Introduction: Orange County (OC) is home to the third-largest population of Asian Americans in the U.S., including the largest population of Vietnamese outside of Vietnam. While breast, lung and colorectal cancers are the top overall causes of cancer incidence and mortality in OC, unique cancers are prevalent among Asian and Pacific Islanders including liver and stomach cancers. The University of California, Irvine Chao Family Comprehensive Cancer Center (UCI CFCCC) adapted a hub-and- spoke model of care (Elrod & Fortenberry, 2017) to increase efficiency among underserved Asian Americans who continue to experience disparities in screening, early detection, and access to cancer treatment. Methods: Our hub-and-spoke model arranges service delivery assets into a network between community organizations through culturally/linguistically competent and trained community health navigators, OC medicaid primary and specialty care providers for low/moderate complexity patients, and UCI CFCCC for high-complexity cancer treatment. UCI CFCCC serves as the anchor establishment (hub) which offers a full array of services. This is complemented by community providers and care coordinators at local Federally Qualified Health Centers (spokes) which offer culturally-tailored primary prevention services. The community patient navigators (rim) located at community-based organizations, routes patients needing more tailored services to the spokes or hub for screening or treatment. Results: Patient Navigators at OC Herald Center, OC Asian Pacific Islander Community Alliance, and Vietnamese American Cancer Foundation have educated 2,246 Korean, Vietnamese, and Chinese individuals on cancer prevention and screening guidelines. Of those, 320 medicaid members have been routed to KCS Health Centers (Korean-serving FQHC lookalike), Southland Integrated Services, Inc (Vietnamese and Chinese-serving FQHC), or Medicaid community providers for cancer screening and/or follow-up. 64 community providers have been trained on NCCN guideline adherent care for Korean, Vietnamese, and Chinese. UCI CFCCC has developed an algorithm/pathway for Medicaid-serving community physicians to easily refer qualified Vietnamese, Chinese, or Korean patients to the hub for complex care or clinical trials. Conclusions: The current COVID-19 pandemic has exacerbated disparities in screening and early detection, and compounds the uncertainty about the importance of optimizing cancer care quality (i.e. access proportion and timeliness, adherence to guidelines, patient satisfaction). Disparities being highlighted in COVID-19 has shown us the power and need of community engagement models to rapidly catalyze and create unique community-based efforts that strengthen capacities and infrastructures, and promote best practices in cancer prevention and early detection designed to decrease cancer incidence and/or mortality in the communities we serve. Citation Format: Cevadne Lee, Ellen Ahn, Mary Anne Foo, Sherry Huang, Becky Nguyen, Tricia Nguyen, Jacqueline Tran, Robert Bristow, Sora Park Tanjasiri. A hub and spoke model to improve cancer care quality: Advancing Cancer Care Together (ACCT) for Asian American Medicaid beneficiaries in Orange County, California [abstract]. In: Proceedings of the AACR Virtual Conference: Thirteenth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2020 Oct 2-4. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(12 Suppl):Abstract nr PO-021.
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 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,006 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 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 ».