Abstract P6-08-10: Breast cancer in young women in Canada: A needs assessment
Notice bibliographique
Résumé
Abstract The objective of our Needs Assessment research was to determine the role that age plays in the breast cancer experience for patients in Canada. Our Needs Assessment is the first national quantitative data on the experience of breast cancer for young women in Canada, from diagnosis, through treatment and survivorship. The objective for the data is to provide critical evidence based information and benchmarks to stakeholders in the breast cancer field around the challenges facing the young breast cancer patient population, which would help improve patient education, advocacy and support programs for young women. METHODS: An online bilingual (English and French) quantitative survey consisting of 88 questions. The survey was open to women who had a breast cancer diagnosis (first time or recurrence) in the previous 6 years. 574 women responded to the survey. 372 (65%) were ages 20-45, 202 (35%) were ages 46-69. The results were analyzed to look at significant differences in the answers from younger and older respondents. The Needs Assessment Report was published in March 2013. RESULTS: While the impact of breast cancer is stressful for women of all ages, the data from our Needs Assessment shows that younger women are particularly vulnerable to the negative psychosocial affects of the disease. Younger women (20-45) were more likely to feel their doctor did not take them seriously when they presented a possible symptom of breast cancer, such as a breast lump (17% vs. 10%) and were more likely to be dissatisfied with the diagnostic process, with 26% of women 20-29 expressing dissatisfaction (versus 19% overall). Younger women had a more difficult time navigating the health care system (36% reported difficulty vs. 29%). Of women 20-39 who expressed concerns about the impact of treatment on fertility, less than half (49%) were referred to a fertility specialist. Younger women rated very highly the importance of connecting with another women with breast cancer their own age (88% vs. 70%) but only 64% of younger women made this connection. Younger women indicated stronger fears of cancer recurrence than their older counterparts, and stronger concerns about the long term effects of treatment. In addition to needing support for their partners and children, younger women were more likely to require support for their parents (42% vs. 22%) although less than 1/3 of their parents received support. Younger women had a more difficult time transitioning from regular to occasional medical monitoring (59% vs. 42%) and were more likely to report a reduced interest in sexual activity due to treatment (67% vs. 54%). CONCLUSION: Our needs assessment data shows that age does have an impact on the breast cancer experience and creates challenges that are not currently being met by healthcare systems. We attribute two key factors to younger women having a more difficult breast cancer experience than older women: aggressiveness of cancer treatment and life-stage. The data shows that despite a growing array of peer support based interventions and community resources available to young women, many of the concerns of young breast cancer patients are still not being met. Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P6-08-10.
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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 | 0,005 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,004 | 0,005 |
| Études des sciences et des technologies | 0,007 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».