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Enregistrement W3211456396 · doi:10.1182/blood-2021-147813

Pharmacist Integration into the Hemophilia Treatment Centre: A Canadian Pilot Project to Optimize Treatment and Improve Cost-Savings Using Pharmacokinetic Assessments of Hemophilia Patients

2021· article· en· W3211456396 sur OpenAlexaffabout
Nisha Varughese, Alex Wong, Robert J. Klaassen, Elaine Leung, Kathryn E. Webert, Sylvain Grenier, Sarah Jennings, Utsav Patel, C Jones, Simmi Sidhu, Régis Vaillancourt

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueHemophilia Treatment and Research
Établissements canadiensCanadian Blood ServicesUniversity of OttawaChildren's Hospital of Eastern Ontario
Organismes subventionnairesnon disponible
Mots-clésMedicinePharmacistFormularyContext (archaeology)Health careIntensive care medicinePharmacyFamily medicine

Résumé

récupéré en direct d'OpenAlex

Abstract Context Prophylactic treatment with coagulation factors in patients with hemophilia A and B is associated with significant costs to the health care system. Whether recombinant or plasma-derived therapies, factors are expensive products that follow complicated pharmacokinetic (PK) trajectories and are subject to tremendous inter-individual variation, making their efficient use challenging. Effective management of these products therefore requires tailoring treatment to the patient. To do so, it is essential to systematically assess and interpret the PK profiles of patients. A dedicated pharmacist could greatly assist this process by standardizing the approach and assisting with interpretation. In Canada, pharmacists are not currently part of the comprehensive care team for the hemophilia population. Aim The purpose of this pilot project was to determine whether employment of a pharmacist as part of the Hemophilia Treatment Centre (HTC) would be an effective strategy to reduce costs associated with clotting factor prophylaxis regimens and identify the pharmacist's activities associated with this new role. Methods This project occurred at the Children's Hospital of Eastern Ontario (CHEO), Ottawa, Canada, a tertiary pediatric hospital serving 500,000 children and youth. A cost-minimization analysis was conducted to compare the pre-intervention strategy, current model of care without pharmacist involvement, to the post-intervention strategy, model of care that included a pharmacist in the HTC. The analysis was performed from the perspective of the formulary manager, Canadian Blood Services, with a 1-year time horizon. The pharmacist was assigned for the period of 1-year including a 3-month phase-in period during which no interventions were done by the pharmacist, followed by 9 months of specific action on optimization protocols with the goal of achieving cost savings while maintaining best patient care. McMaster's Web-Accessible Population Pharmacokinetic Service (WAPPS-Hemo), which generates PK profiles, served as the basis for therapeutic optimizations. CHEO patients with moderate to severe hemophilia A or B or von Willebrand disease (vWD) receiving prophylactic treatment with recombinant or plasma-derived clotting factor were eligible for a pharmacist assessment. Results The pharmacist performed 18 therapeutic optimizations on 14 patients with moderate to severe hemophilia A or B, and 1 von Willebrand patient, aged 3 to 18 years old. As a result of the pharmacist's intervention (Table 1), clotting factor treatment costs for these patients extrapolated over one year were reduced by 20.5%. This represents a net savings of $225K CAD/year, or $12.5K CAD/optimization/year. The pharmacist not only conducted the PK analyses but also participated in clinics, performed administrative activities, developed practice improvement policies and trained staff (Figure 1). Clinic attendance activities included discussions with families, education on new product administration, and discussions with the multidisciplinary team. Administrative activities consisted of organizing appropriate switch days, coordinating laboratory tests and timing of PK assessments, ensuring entire supply consumption, adverse event reporting and inventory management support. Additionally, a sub-analysis showed that the pharmacist's interventions did not worsen annual bleed rates (ABR). In most cases, the ABRs were improved after their therapy was optimized using pharmacokinetics. Conclusion Substitution of clotting factor products and reduction of doses undertaken by the pharmacist resulted in significant savings. To date, no increase in bleeding frequencies have been observed in patients with optimized therapy, suggesting that patient outcomes are maintained. Thus, our project demonstrated that the addition of a pharmacist to the HTC to manage recombinant and plasma-derived coagulation factors can optimise the treatment plan and significantly reduce the costs of managing patients with hemophilia. Following the success of this pilot project, Canadian Blood Services will provide additional funding to extend the project and expand its scope to include adult hemophilia patients. If the findings in this project continue to be demonstrated, this will be used as a case study to expand to all HTC across Canada. Figure 1 Figure 1. Disclosures Klaassen: Agios Pharmaceuticals: Consultancy; Amgen: Membership on an entity's Board of Directors or advisory committees; Hoffman-La Roche: Consultancy; Novo Nordisk: Consultancy; Octapharma AG: Consultancy; Sanofi: Consultancy; Takeda: Consultancy.

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)0,008
score de la tête « metaresearch » (Gemma)0,010
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 enseignants0,097
Score d'incertitude au seuil0,501

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,010
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0040,001
Communication savante0,0020,001
Science ouverte0,0020,002
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 Opus0,059
Tête enseignante GPT0,367
Écart entre enseignants0,308 · 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

Citations2
Publié2021
Routes d'admission2
Résumé présentoui

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