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Enregistrement W4405051523 · doi:10.1182/blood-2024-199147

Intravenous Treatment Workflow for Paroxysmal Nocturnal Hemoglobinuria from the Perspective of Nurses and Pharmacists in US Clinical Practices

2024· article· en· W4405051523 sur OpenAlexaff
Daniel Winokur, Brian Mulherin, Abdulraheem Yacoub, Soyon Lee, Ver Bilano, Glorian Yen, Anumaxine Geevarghese, Jincy Paulose, Annie Guérin, Dominick Latrémouille-Viau, Rebecca Bungay, Gayatri Marathe, Anem Waheed

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiqueComplement system in diseases
Établissements canadiensGroup for Research in Decision Analysis
Organismes subventionnairesnon disponible
Mots-clésParoxysmal nocturnal hemoglobinuriaMedicinePerspective (graphical)Intensive care medicineFamily medicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION: This study aims to describe the steps involved in the intravenous (IV) ravulizumab treatment workflow for paroxysmal nocturnal hemoglobinuria (PNH) within the US healthcare system. By examining the perspectives of nurses and pharmacists, this research aims to better understand the time and resource needs associated with PNH IV therapy and help identify potential areas for optimization in medical centers with the adoption of an oral therapy alternative. METHODS: Building on the previous phase of the study with five hematologists in the US clinical practice, in-depth semi-structured qualitative interviews were conducted with additional six nurses and six pharmacists from different US medical centers, between May and July 2024. Participating nurses and pharmacists were experienced with IV ravulizumab treatment for patients with PNH. Data from these interviews were analyzed to update the process map for IV ravulizumab treatment from the hematologist's perspective. In the updated map, detailed multiple steps and associated time for ravulizumab preparation in the pharmacy setting and treatment administration in outpatient settings for PNH were added. Nurse's and pharmacist's perspectives on process complexities related to IV treatment were also collected. RESULTS: Participating nurses and pharmacists were evenly distributed between academic- and community-based settings. The capacity of the infusion centers where they practice varied between 16-60 infusion chairs. The number of years of professional experience ranged between 6-35 years for nurses and 14-30 years for pharmacists. The participants reported seeing between 2-30 patients with PNH and having treated between 2-15 patients with PNH with IV ravulizumab in the past 12 months. Nurses reported an average patient chair time between 3.0-3.5 hours for the loading dose and 2.0-2.5 hours for the maintenance dose of IV ravulizumab, with a post-medication observation period of 0.5-1.0 hour. The average total clinic time from patient check-in to check-out, including time for laboratory tests, pre-medications, treatment administration, and post-medication observation, ranged between 3.0-4.5 hours to 5.5-6.0 hours when including a physician visit on that day. Nurses reported that, when necessary, patients would typically receive supportive care, such as blood transfusions, on a different day and usually in a separate department within the same medical center. Pharmacists did not report specific complexities. For doses within the recommended schedule, processes are reportedly in place for the coordination of treatment ordering, release, preparation, and administration to avoid any delays on the day of treatment. Overall, the total time for preparation plus all verification steps ranged between 30-60 mins, including 8-15 minutes for the treatment preparation itself. Pharmacists reported that the number and type of vials of ravulizumab are ordered per patient based on their required dose to minimize wastage. Some also reported that electronic medical record systems allow for a difference of 5-10% between the ordered and administered dose. Since the vials are single use, the full vials can be claimed for reimbursement even if not completely used. Reported challenges were mainly related to obtaining insurance approvals for treatment initiation and scheduling issues, as infusion centers often operate at high capacity, sometimes resulting in dose delays. In addition, due to the complexity of insurance approvals and lack of emergency stocks of ravulizumab in most medical centers, breakthrough hemolysis is typically managed with off-cycle doses of any available complement inhibitor in inpatient settings. CONCLUSIONS: The results of this study suggest that IV ravulizumab treatment for PNH present complexities within the healthcare system. The time and resources required for IV treatment can be burdensome for providers, and with infusion centers operating at full capacity, adopting treatments with alternative routes of administration for PNH, such as oral therapy, could free up space and enhance scheduling flexibility for other competing conditions. Further studies are needed to explore the time commitment required for IV treatment versus alternative treatment routes from the patients' perspective.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,136
Score d'incertitude au seuil0,334

Scores Codex et Gemma par catégorie

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

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 Opus0,051
Tête enseignante GPT0,386
Écart entre enseignants0,335 · 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 tête enseignante, 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'admission1
Résumé présentoui

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