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Enregistrement W3130546611 · doi:10.1158/1538-7445.sabcs20-pd12-10

Abstract PD12-10: Patient reported outcomes and health care utilization of UPMC breast cancer survivorship clinic patients

2021· article· en· W3130546611 sur OpenAlexaboutno aff
Kristine Gade, Stefanie C Altieri Dunn, Ellen Ormond, Andrew Bilderback, Jill Brufsky, Emily Geramita, G. J. van Londen

Notice bibliographique

RevueCancer Research · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueCancer survivorship and care
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSurvivorship curveMedicineBreast cancerCancerPopulationCancer survivorFamily medicineHealth careCancer survivorshipGerontologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

Abstract Background. The number and longevity of cancer survivors is growing due to aging of the population, improving cancer treatments, and earlier detection. The Institute of Medicine has recommended creation of guideline-concordant models of cancer survivorship care and clinics for this growing population with unique needs. There is currently little data on how cancer survivors seen at a survivorship clinic fare compared to those seen in routine oncology clinics in terms of quality of life and health care utilization. At the University of Pittsburgh Medical Center (UPMC), we performed a descriptive analysis of healthcare utilization and patient reported outcomes (PROs) of cancer survivors seen at survivorship clinic compared to at oncology clinics. Methods. The population consisted of breast cancer patients who received care at UPMC survivorship or oncology clinics (control) between January 2012 and December 2018. PROs were collected at each clinic visit and included the SF-12, the Edmonton Symptom Assessment Scale (ESAS), Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder (GAD-7) scales. Cancer diagnoses and staging were obtained from the UPMC Network Cancer Registry. Patient demographics, mortality, ED visits and inpatient stays were extracted from the electronic medical record. ED utilization and inpatient admissions were examined one-year prior to survivorship care compared to 90-days after the start of survivorship care. Categorical and continuous data were examined by Wilcoxon rank sum tests and likelihood-ratio chi-squared tests, respectively. A p-value <0.05 was considered statistically significant. Results. Data from 680 cancer survivors were included, of which 285 patients received their follow-up care in survivorship clinic and 395 patients received their follow up care in oncology clinics. Baseline demographics were comparable between the two groups, except survivorship clinic patients (SCPs) had higher 1-year mortality (3.5% vs. 0.5%, p=0.003) and cancer stage (62% vs. 48% ≥ stage II, p=0.044). SCPs had significantly more ED visits at baseline and their number of ED visits remained higher than control once enrolled in survivorship clinic, although this trended down after 90 days in survivorship clinic (table 1). Inpatient visits were significantly increased for SCPs as compared to controls at 90 days after enrollment in survivorship clinic (6.4% with ≥ 1 inpatient admission vs. 1.8%, p=0.003). SCPs had consistently worse PROs compared to controls. Prior to enrolling in survivorship clinic, SCPs had higher rates of moderate to severe depression (22.4% with PHQ-9 score of 10-24 vs. 7.8%, p=0.002) and anxiety (20.6% with GAD-7 scores of 10 - 21 vs. 9.2 %, p<0.001) and this remained elevated at all time points compared to controls, although these rates appeared to decrease over time. SCPs also rate their overall health lower than controls on the SF-12 and they have higher symptom severity across most ESAS symptoms. Conclusions. Cancer survivors who are referred to and receive care in survivorship clinic have poorer quality of life and higher health care utilization at baseline and over time when compared to patients who receive care in oncology clinics. This observation suggests that survivorship clinics may be seeing cancer survivors with higher symptom burden and health care needs. This warrants future efforts to better understand, support, and prevent morbidity of survivorship clinic patients. Table 1. ED and Hospital Utilization Among Survivorship Clinic Patients and Controls.Pre-Survivorship ClinicAfter Enrollment in Survivorship Clinic1 Year90 Days# ED VisitsControl (%)Survivorship (%)PControl (%)Survivorship (%)P0345 (87.3)199 (69.8)<0.001382 (96.7)250 (87.7)<0.0011+50 (12.7)86 (30.2)13 (3.3)35 (12.3)# Inpatient Admissions0319 (80.8)225 (79.0)0.341388 (98.2)267 (93.7)0.0031+76 (19.3)60 (21.0)7 (1.8)18 (6.4) Citation Format: Kristine Gade, Stefanie C. Altieri Dunn, Ellen Ormond, Andrew Bilderback, Jill W Brufsky, Emily M. Geramita, G J van Londen. Patient reported outcomes and health care utilization of UPMC breast cancer survivorship clinic patients [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD12-10.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,017

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,000

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.

Tête enseignante Opus0,181
Tête enseignante GPT0,471
Écart entre enseignants0,290 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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