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Enregistrement W4405038418 · doi:10.1182/blood-2024-207342

Costs of Healthcare Resource Utilization in the Management of Patients with Higher-Risk Myelodysplastic Syndrome in Canada

2024· article· en· W4405038418 sur OpenAlexafffundabout
Kimberly Guinan, Laurie Demers-Rozon, Monika Ham, Yoann Brassard, Nancy Paul Roc, Paola Lembo, Grace Christou, Christopher Lemieux, Stéphane Barakat, Yanqing Xu, Mathieu Pelletier, Jean Lachaîne

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensUniversité de MontréalUniversité LavalOttawa Hospital
Organismes subventionnairesAbbVie Canada
Mots-clésMedicineMyelodysplastic syndromesHealth careIntensive care medicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

Introduction: Treatment options for myelodysplastic syndrome (MDS) are dependent on individual disease characteristics and impact patient prognosis and healthcare resource utilization (HCRU). Specifically, higher-risk MDS (HR-MDS) treatment involves a range of interventions, which can be physically demanding, requiring frequent hospital visits, prolonged hospital stays and unpleasant side effects. Currently, no Canadian HCRU information and costing analysis is publicly available in the management of HR-MDS. This study aimed to estimate the costs of HCRU for HR-MDS treatments, to inform institutional decision makers, health technology assessment agencies, and healthcare professionals, from a Canadian perspective. Methods: A decision tree was developed to assess the costs of HCRU of HR-MDS, over a 2-year time horizon to capture the extent of costs for HR-MDS patients. Comparative treatments were divided into three comparator arms, aligned with different patient subgroups: transplant-ineligible (TI), transplant-eligible (TE) as well as those receiving best supportive care (BSC) only. TI patients were assumed to be treated with hypomethylating agents (HMA), while TE patients could either proceed directly to allogenic stem cell transplantation (allo-SCT) through a conditioning regimen or require cytoreductive/debulking therapy including HMAs or induction chemotherapy prior to evaluating allo-SCT eligibility. Both TI and TE patients could receive BSC as needed, which included a combination of blood transfusions and antimicrobial prophylaxis (antibiotics, antifungals, and antivirals). Patients receiving only BSC could also receive erythropoiesis-stimulating agents and granulocyte colony-stimulating factor. Cost estimates were provided from a healthcare system (HC) perspective, including costs related to pretreatment, acquisition, administration, allo-SCT, monitoring and adverse event (AE) management. Costs were also estimated from a societal perspective, including productivity loss for both patients and caregivers. Model inputs were retrieved from product monographs, treatment protocols and published literature. Subsequently, these model inputs were validated by Canadian clinical experts to reflect clinical practice. A scenario analysis was also developed to assess the real-world HCRU costs of HR-MDS in Canada, based on the estimated target HR-MDS incident Canadian population and the market utilization of the different comparators. Results: From a HC perspective, the total 2-year HCRU costs for HR-MDS were estimated at $117,887 for TI patients, $346,288 for TE patients and $59,942 for patients receiving BSC only. TE patients represent the subgroup with the most expensive 2-year HCRU costs, with the main driver for these costs being allo-SCT costs, estimated at $178,497 over 2 years. The costs of AEs were also higher for TE patients, while for TI patients, drug acquisition costs represent the most expensive cost category compared to TE and BSC patients. From a societal perspective, the total 2-year HCRU costs were estimated at $135,994 for TI patients, $414,861 for TE patients and $71,635 for patients receiving BSC only. Consistent with the HC perspective, HCRU costs for TE patients are the most expensive in terms of productivity loss, considering the time off work due to the long hospitalization for allo-SCT. In Canada, the total HR-MDS Canadian population is estimated at 496 patients, from which 329 (66.3%) are TI, 142 (28.7%) are TE and 25 (5.0%) received BSC only. From a real-world scenario reflecting the total HR-MDS Canadian population, the 2-year HCRU costs is estimated at $15.2M and $17.7M for the Canadian HC and societal perspectives, respectively. This scenario analysis demonstrates that the majority of the HCRU costs are from TI patients. Considering that these patients are treated with HMA, drug acquisition costs are the major cost driver, representing 53.8% and 46.2% of the total 2-year HCRU costs in Canada, from a HC and societal perspective, respectively. Conclusions: This study highlights the significant economic burden related to HR-MDS. Although TE patients have higher 2-year HCRU costs per patient, the majority of HR-MDS patients are TI and therefore reflect the highest cost expense for the Canadian HC. Optimizing treatment and disease management for TI patients could help reduce the overall economic burden of treating HR-MDS in Canada.

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 enseignants0,124
Score d'incertitude au seuil0,898

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
Bibliométrie0,0020,004
Études des sciences et des technologies0,0020,001
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
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 Opus0,014
Tête enseignante GPT0,256
Écart entre enseignants0,242 · 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
Publié2024
Routes d'admission3
Résumé présentoui

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