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Enregistrement W4405034609 · doi:10.1182/blood-2024-207425

Patient and Caregiver Preferences for Hemophilia Prophylactic Treatments: A Discrete Choice Experiment

2024· article· en· W4405034609 sur OpenAlexaff
Hui Lu, Jenny Whitty, Travis J. Gould, Carmine Colavecchia, Josh Coulter, Nicola Dunn, Pratima Chowdary, Lisa J. Wilcox, Joseph C. Cappelleri, Stephanie Christopher, Alexis Sohn, Brett Hauber

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueHemophilia Treatment and Research
Établissements canadiensPfizer (Canada)
Organismes subventionnairesnon disponible
Mots-clésMedicineMixed logitResidencePreferenceLogistic regressionDiscrete choiceDemographyInternal medicine

Résumé

récupéré en direct d'OpenAlex

Background and Objectives The expansion of hemophilia treatment to include non-factor prophylaxis provides new treatment options for people living with hemophilia (PwH). The objective of this study was to measure PwH and caregiver (CG) preferences regarding hemophilia A (HA) and B (HB) prophylaxis, their willingness to trade-off benefits and risks, and their preferences for administration and device types. Methods A cross-sectional, web-based survey including a discrete choice experiment (DCE) was administered to adult PwH and CGs of children (aged 8 to 17 years) with hemophilia in the US and UK. The DCE design was informed by an evidence review and consultations with a steering committee of clinical and patient advisors. The survey was pre-tested in cognitive interviews with 10 PwH and 10 CGs prior to launch. In the DCE, each participant completed 10 choice tasks, each presenting two hypothetical prophylaxis profiles described by seven attributes. The attributes included two benefits (change in the number of annual bleeds, requirement for a second treatment for breakthrough bleeds), two risks during the next year of treatment (serious side effects, developing inhibitors), and three additional treatment characteristics (administration and device type, dosing frequency, refrigeration requirement). DCE responses were analyzed using a mixed logit model. Hemophilia types and country of residence were pooled for analysis for both PwH and CGs. Relative attribute importance (RAI) scores were calculated to assess the relative impact of improving each attribute from the worst to the best level on overall treatment preference. In addition, the trade-offs participants were willing to accept to change administration and device type were calculated. Results A total of 194 PwH and 169 CGs participated. The mean age of PwH was 38.5 years (range 18-80), the majority (95%) were male, White (78%), and had HA (85%). Over half (59%) were on factor replacement therapy, 43% were on non-factor prophylaxis. The mean age of CGs was 43.3 years (range 22-71), the majority were female (84%). Of the children with hemophilia they cared for, the mean age was 12.6 years (range 8 - 17), the majority were male (97%), White (69%) and had HA (80%). Among the children, 56% were on factor replacement, 47% were on non-factor prophylaxis. The attributes had similar impacts on treatment preferences of both PwH and CGs. Both considered treatment frequency (change from daily to every two to four weeks) to be the most important attribute (RAI: PwH 31.3%; CG 36.6%), followed by change in the number of annual bleeds (change from 2 more bleeds to 3 fewer bleeds; RAI: PwH 23.6%; CG 21.7%). Risk of serious side effects (change from 5% to 0%; RAI: PwH 13.3%; CG 12%), administration and device type (change from intravenous (IV) infusion to subcutaneous (SC) injection via pre-filled pen (PFP); RAI: PwH 12.1%; CG 10.4%), and risk of developing inhibitors (change from 5% to 0%; RAI: PwH 11.8%; CG 11.2%), had a similar impact on preferences, each being approximately one third as important as treatment frequency and half as important as change in annual bleeds. Refrigeration requirements (change from until use to up to 30 days; RAI: PwH 7.7%; CG 6.9%) were less important, although both PwH and CGs preferred to avoid treatments requiring refrigeration until use. The need for a second treatment for breakthrough bleeds (change from required to not required; RAI: PwH 0.3%; CG 1.1%) was unimportant to both PwH and CGs. With regard to administration and device type, both PwH and CGs preferred SC injections to IV infusions (P<0.001 for both groups). SC injection using a pre-filled pen (PFP) was numerically preferred to SC injection using a vial and syringe; however, this finding was not statistically significant. PwH were willing to accept a 2.9 % increase in risk of serious side effects in the next year, or a 3.1% increase in risk of developing inhibitors in the next year, to have SC injection via PFP rather than IV infusion. Conclusions Both PwH and CGs highly valued avoiding daily treatment administration and were willing to accept reduced benefits or increased risks in exchange for SC administration of prophylaxis via a PFP or vial and syringe device instead of IV infusion. Understanding preferences for hemophilia treatments and the trade-offs that PwH and CGs are willing to make between treatment attributes may facilitate shared decision-making when selecting prophylactic options.

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)0,016
score de la tête « metaresearch » (Gemma)0,020
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil0,084

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0160,020
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0110,001

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 Opus0,030
Tête enseignante GPT0,322
Écart entre enseignants0,291 · 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

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

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