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Enregistrement W4220798168 · doi:10.1158/1538-7445.sabcs21-p4-12-03

Abstract P4-12-03: Assessment of quality of life (QoL) in patients with metastatic breast cancer (MBC) in clinical practice: A real-world multi-country survey

2022· article· en· W4220798168 sur OpenAlexaff
Fátima Cardoso, Julie Rihani, Dawn Aubel, Adam Moore, Victoria Harmer, Nadia Harbeck, Ana Casas, Sina Haftchenary, Purnima Pathak, Eva Schumacher-Wulf

Notice bibliographique

RevueCancer Research · 2022
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueEconomic and Financial Impacts of Cancer
Établissements canadiensNovartis (Canada)
Organismes subventionnairesnon disponible
Mots-clésMedicineQuality of life (healthcare)Clinical PracticeFamily medicineBreast cancerLikert scaleMetastatic breast cancerClinical OncologyCancerInternal medicineNursingPsychology

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Patient (pt) QoL is a key factor in the treatment (tx) of ABC. There are gaps in real-world evidence of how QoL is assessed in clinical practice. We examined the importance of QoL, its influence on tx decisions, and how it is discussed in a clinical setting from pts’ and healthcare professionals’ (HCPs) perspectives. Methods: The survey was designed by a steering committee of medical oncologists and patients and ethically approved to survey HCPs and patients. Data were collected from July 2020 to May 2021 via a cross-sectional online survey of HCPs (oncologists [Onc] and oncology nurses [OncNu]) and pts with HR+/HER2- ABC in Australia, Brazil, Egypt, Germany, Italy, South Korea, and USA. HCPs were recruited via a 3rd party and surveyed on the management of ABC including the importance of QoL and its assessment in clinical practice. Pts were recruited via HCPs and advocacy groups and surveyed on the importance of QoL, how tx impacts QoL, daily activities, and work, and the frequency of QoL discussions with HCPs. All observations were assessed using a 4-point Likert scale; data were analysed descriptively. Results: 277 Onc, 225 OncNu, and 467 pts with ABC took part in the survey. 221 pts had stage III advanced (locoregionally recurrent not amenable to curative therapy) and 229 had stage IV metastatic disease. 142 pts were receiving first line (1L), 116 second line (2L), and 209 third or later line (3L+) tx. Most HCPs, 88% of Onc and 96% of OncNu, reported asking about QoL at follow-up appointments, where fewer pts report being asked about QoL by Onc (64%) and OncNu (43%). Pts at later line of therapy (LoT) less frequently reported QoL discussions with Onc; 43% of pts at 1L (n=140) reported they were always asked about QoL at follow-up appointments vs 21% at 2L (n=113) and 16% at 3L+ (n=206). Among Onc, importance of QoL for tx decisions increased with LoT; 48% reported that QoL was very important at 1L, 57% at 2L, 79% at 3L, and 85% at 4th line. In contrast, importance of QoL among pts decreased with LoT; while only 39% were comfortable discussing QoL with Onc, 73% at 1L agreed that QoL was important vs 45% at 2L and 40% at 3L+. Among pts who experienced a side effect (SE) that was not discussed with their HCP (n=96), 40% agreed this was because HCPs did not ask about it, and 28% at least moderately agreed they do not report SE as they do not want their Onc to change their tx. 81% of HCPs did not completely agree with the statement “I have enough time to discuss QoL with my pts”. Among those who reported asking pts about their QoL, 93% of HCPs (n=481) reported using questions of their own, while 11% of Onc and 30% of OncNu reported using QoL questionnaires. Only 11% of HCPs agreed that available QoL tools were specific enough to customise for their pts, and only 12% agreed they had access to QoL tools that were integrated with electronic health record systems. Among HCPs (n=341) who were familiar with QoL tools used in clinical trials for ABC, only 10% agreed that these tools were able to accurately reflect QoL, and only 11% agreed that the tools were able to capture improvements in QoL when tx delayed disease progression. Conclusion: We found disconnects between pts with ABC and HCPs around the importance of discussions around QoL; pts report a lower frequency of these discussions in later LoT than HCPs. QoL assessment tools were infrequently used by HCPs, as those currently available were not considered adequate for ABC. QoL should be formally assessed regularly using an ABC-specific QoL assessment tool. This would allow HCPs to address pt issues around QoL through focused discussions to help inform tx decisions. To ensure clinical value, a tool should be quick and easy to use, be able to be completed outside of an appointment setting, yield results that are easy to interpret and compare, and be integrated into medical records. Citation Format: Fatima Cardoso, Julie Rihani, Dawn Aubel, Adam Moore, Victoria Harmer, Nadia Harbeck, Ana Casas, Sina Haftchenary, Purnima Pathak, Eva Schumacher-Wulf. Assessment of quality of life (QoL) in patients with metastatic breast cancer (MBC) in clinical practice: A real-world multi-country survey [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P4-12-03.

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)0,003
score de la tête « metaresearch » (Gemma)0,008
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 enseignants0,004
Score d'incertitude au seuil0,018

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,008
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 recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,261
Tête enseignante GPT0,493
Écart entre enseignants0,232 · 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
Publié2022
Routes d'admission1
Résumé présentoui

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