Abstract 802: Utilization of emotional support services among breast cancer patients
Notice bibliographique
Résumé
Abstract Introduction: Breast cancer patients frequently experience significant psychological distress, with prevalence rates of anxiety and depression reaching as high as 50% in certain studies. This distress is linked to worse treatment adherence and outcomes. Additionally, a recent review demonstrated that psychological interventions in these patients have been found to improve quality of life, decrease distress, and may extend disease-free survival while reducing recurrence and mortality. Despite the benefits, mental health services remain underutilized in this population. This study examined the use of emotional support resources by breast cancer patients using data from a single-institution patient-reported outcomes registry. Method: Data were collected from our institutional electronic medical records of breast cancer patients treated within the past year. Participants included those reporting moderate to severe symptoms (≥4) on the Edmonton Symptom Assessment Score (ESAS) for depression or anxiety. Utilization of emotional support resources, such as referrals to psychosocial interventions (Psychiatrists, Social Workers), was analyzed. Demographic, clinical, and geographic characteristics were compared between resource users and non-users using chi-square and z-tests. Results: Among 340 participants with moderate or higher distress, 118 (35.1%) accessed psychosocial resources, such as counseling or support groups. Younger patients showed a trend toward higher utilization (p=0.068), and white participants were slightly more likely to use resources (p=0.229), though neither finding reached statistical significance. Travel time significantly impacted resource use, with shorter commutes (<30 mins) leading to greater engagement (43.5% vs. 21.7% for 30-60 mins and 12.5% for >60 mins, p<0.001). Furthermore, patients with higher ESAS scores, reflecting greater symptom burden, were significantly more likely to engage with support resources (p<0.001). Other characteristics, including gender (p=0.51) and disease stage (p=0.432) were not associated with differences in resource use. Conclusions: This study highlights factors influencing the utilization of psychosocial support resources among breast cancer patients with moderate or greater distress. While age and race showed nonsignificant trends, travel time and symptom burden were significant predictors of engagement. Some patients may have declined additional referrals due to pre-existing support systems, indicating the need to assess these factors in future studies. Expanding access and addressing barriers through healthcare and advocacy partnerships remains essential. Further research could explore the use of psychosocial resources by patients with mild distress (ESAS scores 1-3). Citation Format: Ahmed Allibhai, Asiyah Allibhai, Zishan Allibhai. Utilization of emotional support services among breast cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 802.
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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».