Abstract A38: Participatory cancer education through illustrated story maps to address cancer health disparities
Notice bibliographique
Résumé
Abstract Background: Many racial and ethnic minorities consider cancer to be a death sentence, will not speak of it, and shun those who have it. Community use of focused, illustrated “story maps,” i.e. visual storytelling using imagery, to share experiences with cancer and start conversations about cancer may help to overcome barriers to cancer prevention and control, enhanced survivorship, and quality of life, such as alleviating fear and helplessness. The purpose was to develop and integrate story maps into an existing cancer health disparities educational program in churches. Methods: Building on a community-based participatory research approach and using formative research methods, a story map was produced depicting origins of cancer, cancer prevention and control, treatment, and survivorship emphasizing quality of life throughout. Focus groups (n=11) and feedback sessions with individuals and groups of stakeholders were conducted over an 18-month period to iteratively develop the maps with a graphic artist. Notes were maintained and used to guide development and revisions. An overall story map was developed with three smaller maps depicting sections describing cancer prevention, screening, and outcomes/treatment/survivorship. Maps are available in banner, large, and placemat size and on electronic media for projection. Church program facilitators were trained on how to use the story maps as part of the cancer educational program. A brief video was produced to provide additional training and technical assistance. Results: Facilitators are currently using the maps to address cancer-related health disparities in the African-American community. Sessions using the maps are designed to last one hour but often go longer due to participant dialogue. Facilitators guide the sessions focusing participants on the graphics and caricatures on the maps. Discussion begins by asking participants what they see on the maps. Responses typically lead to personal discussions and stories about cancer. Questions about how individuals, and families, stay on “the long-life highway” (shown on the map) and out of “the stream of cancer” (also shown on the map) are posed and stories shared. Pre- and post-test evaluation of the integration of the maps into the program, effect of the maps on intentions to prevent and control cancer as well as attitudes, beliefs, and fatalism, and efforts to address cancer disparities is being conducted. Conclusion: The process of developing the story maps was participatory and iterative, thus allowing the process to incorporate community beliefs into the maps to prompt discussion. From our previous use of story maps and the excitement shown by the facilitators, we anticipate positive evaluation results on the use of the maps. We expect to show significant improvement in self-efficacy, lower cancer fatalism, and equal or greater indications of intention to act on cancer information. Local, participatory communication appears to be more effective and credible in promoting healthful change to address cancer-related health disparities. Citation Format: John R. Ureda, Kimberly C. Rawlinson, Heather M. Brandt, Wanda Green, Deloris G. Williams, Andrea S. Gibson. Participatory cancer education through illustrated story maps to address cancer health disparities. [abstract]. In: Proceedings of the Eighth AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 13-16, 2015; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2016;25(3 Suppl):Abstract nr A38.
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 | 0,008 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,002 | 0,008 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,028 | 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 ».