Abstract C158: Bridging gaps through partnership: A community-academic-government-industry approach to advancing cancer equity for Black women in the South
Notice bibliographique
Résumé
Abstract Introduction: Disparities in breast and cervical cancer outcomes continue to affect Black women in the South, particularly in rural and underserved areas of Alabama and Georgia. Despite similar incidence rates, Black women experience disproportionately higher mortality due to systemic barriers, including limited access to early detection, timely follow-up, and high-quality care. The Project Health Equity (PHE) Initiative, is a community-academic-government-industry partnership between the Black Women’s Health Imperative (BWHI) and Hologic, with the University of Alabama at Birmingham (UAB), Morehouse School of Medicine (MSM), and their respective state breast and cervical cancer programs. The study centers on identifying and addressing these multi-level barriers to breast and cervical cancer screening (BCCS) through a collaborative approach. Methods: The PHE builds on long-standing, established community-academic research and service delivery models of navigation to access care, and transdisciplinary collaboration with the aims to: (1) identify barriers to breast and cervical cancer screening and detection among Black women; (2) evaluate the outcomes of the navigation component of the project; and (3) develop a research strategy to create policies to address multi-level barriers in BCCS, treatment, and follow-up care among Black women. Results: UAB and MSM lead site-based implementation, including outreach, recruitment, enrollment, navigation to screening, and data collection and analysis. Hologic and state programs provide resources, support, and services. BWHI provides scientific leadership and ensures translation of research findings into actionable strategies. Cross-site coordination ensures that implementation efforts are grounded in community priorities and informed by diverse perspectives. The added-value of this partnership results in the ability to pool data and conduct multi-state/site comparisons that support advocacy efforts and will help to establish greater impact across the South. At each site, institutional and community partnerships, across departments and clinics, have played a critical role in driving project success. This partnership brings together complementary strengths in community engagement, scientific research, and culturally responsive care, creating a powerful model for addressing cancer disparities in the South. Conclusion: The PHE illustrates how a community-academic-government-industry partnership can meaningfully address structural and individual barriers to cancer prevention and care among Black women in the South. The collaboration between BWHI, Hologic, UAB, MSM and BCCS programs demonstrates the power of aligning research and service delivery expertise with community priorities and the advocacy and resources of government and industry to reduce health disparities. As findings continue to emerge, the project will aim to inform institutional practices, shape policy, and guide the development of a research agenda focused on eliminating inequities in breast and cervical cancer outcomes. Citation Format: DeBran Tarver, Ifeoma Udoh, Samantha Whitfield, Catanya Stager, Maya Zeigler, Linda Goler Blount, Mia Keeys, Silvia Gisiger Camata, Cynthia Y. Johnson, Alison M. Caddell, Sejong Bae, Vishruti Pandya, Melissa Ryan, Elabrar Ebrahim, Pooja Mishra, Sophia Stein, Christopher Ervin, Amirah Burton-Obanla, Desiree Rivers, Timiya Nolan, Lori Bateman. Bridging gaps through partnership: A community-academic-government-industry approach to advancing cancer equity for Black women in the South [abstract]. In: Proceedings of the 18th AACR Conference on the Science of Cancer Health Disparities; 2025 Sep 18-21; Baltimore, MD. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2025;34(9 Suppl):Abstract nr C158.
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 | 0,034 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,015 | 0,007 |
| Communication savante | 0,009 | 0,006 |
| Science ouverte | 0,004 | 0,032 |
| Intégrité de la recherche | 0,006 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 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 ».