MétaCan
Menu
← Retour à la cohorte
Enregistrement W4310098617 · doi:10.1182/blood-2022-158520

Clinician and Patient Perspectives on Treatment Decision-Making in Multiple Myeloma: A Qualitative Survey

2022· article· en· W4310098617 sur OpenAlexaboutno aff
Nina Shah, Elizabeth S. Mearns, S. Carey, Emily Mulvihill, Sheri A. McClerklin, Karen Thomson, Jennifer M. Ahlstrom, Allicia Girvan, Robert F. Cornell, Michael Nixon

Notice bibliographique

RevueBlood · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMultiple myelomaMedicineQualitative researchPomalidomideIntensive care medicineLenalidomideFamily medicineOncologyInternal medicineSociology

Résumé

récupéré en direct d'OpenAlex

Background: Multiple myeloma (MM) is an incurable malignancy associated with significant morbidity. The recent expansion of available treatment choices has increasingly complicated later-line treatment decision-making, where standard of care (SOC) is not necessarily established. However, the patient (pt) and hematologist/oncologist (HEM/ONC) priorities that underlie treatment decision-making in real-world settings for MM have not been well studied. We aimed to better understand these factors using qualitative methods. Methods: In March 2021, we conducted in-depth interviews with 12 adults with MM (11 from the US and one from Canada) and 12 HEM/ONCs in the US (seven from community settings, five from academic settings; all of whom spend ≥50% of their time in direct pt care and currently manage ≥10 pts with active MM). A commercial healthcare database was used to recruit HEM/ONCs, and a pt advocacy group, the HealthTree Foundation for Multiple Myeloma, was used to recruit pts. A trained moderator used a semi-structured interview guide to facilitate discussion of MM treatment decision-making. NVivo, a qualitative analysis software program, identified key themes emerging from the interviews. Results: HEM/ONCs had a median of 17 years (range 5-30) in practice. Pts had a median age of 64 years (range 49-70) and a median time since MM diagnosis of 6 years (range 1-8). At the time of MM diagnosis, HEM/ONCs described MM as treatable with many therapeutic options. They noted that discussions of risk status, cytogenetics, and biomarkers can be difficult for pts to understand; as these factors may not always influence early-line treatment decisions, HEM/ONCs reported simplifying or delaying such discussions, instead focusing on immediate next steps such as the treatment plan. HEM/ONCs also recommended first-line SOC comprising lenalidomide/bortezomib/dexamethasone (n=9/12), regardless of pt risk status. Similarly, pts reported that initial MM diagnosis discussions focused on the treatment they would receive (n=8/12). Discussions with their treating physician were focused predominantly on treatability (n=4/12), reassurance (n=3/12), and symptom control (n=2/12), rather than individualized factors or therapy. No pts recalled detailed discussions of risks or cytogenetics at initial diagnosis (n=0/12) (Table 1). In treatment discussions for later lines of therapy, HEM/ONCs appear to offer more options and pts appear to participate more in treatment decisions: pts reported their preferences were considered for later-line therapy (n=5/12), for switching treatments due to side effects (n=3/12), and when offered a 'brand new' medication (n=2/12); HEM/ONCs also reported shared decision-making for later-line therapy (n=7/12; Table 2). Regarding treatment goals, all MM pts (regardless of line of therapy; n=12/12) and HEM/ONCs (n=12/12) prioritized efficacy. Among efficacy measures, pts prioritized response (n=10/12) and overall survival (OS; n=7/12), followed by progression-free survival (PFS; n=4/12). These efficacy goals aligned with the top treatment goals for HEM/ONCs (response: n=12/12; OS: n=11/12; PFS: n=8/12). Aside from efficacy, priorities for pts and HEM/ONCs overlapped on ability to do physical activities (n=4/12 pts, n=6/12 HEM/ONCs), participating in social activities (n=3/12 pts, n=6/12 HEM/ONCs), getting back to normal life (n=3/12 pts, n=4/12 HEM/ONCs), continuing to work (n=3/12 pts, n=4/12 HEM/ONCs), and maintaining a family role (n=2/12 pts, n=3/12 HEM/ONCs). Areas prioritized by pts but not by HEM/ONCs included avoiding being a burden on their family (n=5/12 pts, n=0/12 HEM/ONCs), and avoiding serious heart damage (n=5/12 pts, n=1/12 HEM/ONCs) and kidney damage (n=4/12 pts, n=1/12 HEM/ONCs). HEM/ONCs prioritized avoiding neuropathy and convenience of administration, which pts did not mention. Conclusions: The pt's role in treatment selection increases in later lines as they are offered more options, receive more information, and feel their preferences are considered. In the current study, both pts and HEM/ONCs prioritized disease control over most other aspects, particularly in later lines. Pts and HEM/ONCs prioritized maintaining quality of life over avoiding specific adverse events that are not life-threatening or requiring medical intervention. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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)0,023
score de la tête « metaresearch » (Gemma)0,047
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,023
Score d'incertitude au seuil0,124

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0230,047
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0050,004
Communication savante0,0030,004
Science ouverte0,0010,005
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,071
Tête enseignante GPT0,398
Écart entre enseignants0,327 · 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'étudeQualitatif
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

Explorer davantage

Même revueBlood→Même sujetMultiple Myeloma Research and Treatments→Travaux en français237 207→