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

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

2024· article· en· W4405034609 on 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

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsPfizer (Canada)
Fundersnot available
KeywordsMedicineMixed logitResidencePreferenceLogistic regressionDiscrete choiceDemographyInternal medicine

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.322
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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