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Enregistrement W4417006291 · doi:10.1182/blood-2025-2590

Cost-effectiveness of hydroxyurea for children with sickle cell disease in sub-saharan Africa: A discrete event simulation model to inform policy and government planning

2025· article· en· W4417006291 sur OpenAlexaff
Patrick T. McGann, Lydia Musula, Paul Niklewski

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensProvidence Health Care
Organismes subventionnairesnon disponible
Mots-clésDiseaseGovernment (linguistics)PopulationClinical trialDisease burdenDeveloped countryPublic healthCost effectiveness

Résumé

récupéré en direct d'OpenAlex

Abstract Background Sickle cell disease (SCD) is a highly common inherited disorder affecting more than 500,000 infants born each year, primarily in sub-Saharan Africa. Without early diagnosis and treatment, SCD is associated with high morbidity and early mortality. Recent newborn screening programs and national SCD strategies are beginning to improve outcomes for infants born with SCD, however, continued momentum is needed to address the high burden of SCD in many sub-Saharan countries. Hydroxyurea (HU) is the primary disease modifying therapy for SCD and is now the standard of care in most high-resource settings. Over the past decade, several high-impact clinical trials of HU have been performed across sub-Saharan Africa (REACH, NOHARM, SPIN, SPRING) and have clearly established the safety and benefits in this population of children with SCD. Despite the high burden of disease and overwhelming evidence of clinical benefits—and the fact that HU has been included on the WHO Model List of Essential Medicines for Children for more than a decade—HU remains largely unavailable primarily due to perceived cost in most African countries. There is tremendous variability in the cost of HU across different African countries, with prices ranging from ~$0.20 to >$3.00 per 500 mg capsule, in addition to costs of laboratory monitoring. Without national programs to subsidize HU, the cost burden usually falls on families, and as HU is a daily, lifetime medication, most families—many with more than one child with SCD—are unable to afford it, leading to unacceptable morbidity and early mortality. This study uses a discrete event simulation (DES) model to assess the economic and health impact of HU, providing a data-driven case for governments and regional policymakers to support HU inclusion. Methods A patient-level DES model was developed to assess cost-effectiveness of HU compared with no HU treatment from a government/societal perspective over a birth to age 18 years' time horizon. The model simulates 500,000 individual children per arm, with events including vaso-occlusive crises, transfusion-requiring anemia, hospital admission, and death. Each event is assigned stochastic timing using exponential distributions, and cost and quality-adjusted life years (QALYs) parameters are sampled from gamma or beta distributions. Effectiveness and costs were derived from published trials, and WHO Essential Medicines pricing data. Key model input data, using conservative estimates, include the following: mean cost of 500 mg HU capsule ($0.50), $96/year for HU monitoring, $100 per blood transfusion, $200 per hospital admission, and QALY per asymptomatic year (0.85). Results Hydroxyurea consistently reduced overall costs and improved QALYs in nearly all simulations. The mean lifetime cost per child receiving HU was $8,559, compared to $10,688 without treatment. Correspondingly, the mean QALYs per child were 14.16 with HU versus 13.32 without. The resulting incremental cost-effectiveness ratio (ICER) was –$2,547 per QALY, indicating HU was both more effective and less costly—a dominant strategy—in 64.3% of simulations. Moreover, it was cost-effective in over 90% of simulations at a willingness-to-pay (WTP) threshold of $10,000 per QALY. This WTP reflects the maximum acceptable lifetime cost to gain one QALY. A one-way sensitivity analysis varying the cost of HU capsules demonstrated that HU remained cost-saving relative to no treatment up to a threshold price of ~$309 per child per year. Beyond this point, total lifetime costs with HU exceeded those without treatment; however, HU remained cost-effective across a broad range of pricing assumptions. The probability of cost-effectiveness was 74% at a WTP of $0, increasing to 90% at $10,000, and exceeding 90% at $25,000. These findings support HU as an economically favorable intervention, with potential for cost savings or high value depending on local pricing. Conclusions Hydroxyurea is not only cost-effective but potentially cost saving for children with SCD in sub-Saharan Africa. This analysis supports the integration of HU into national essential health packages. Funding HU access may significantly reduce hospital burden, improve survival and quality of life, and yield favorable economic returns. Ministries of Health, national health insurance agencies, and development partners should be encouraged to consider HU provision a strategic and sustainable investment in child health and health system resilience.

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)0,003
score de la tête « metaresearch » (Gemma)0,011
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,084
Score d'incertitude au seuil0,167

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,011
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0020,001
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,0110,000

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 Opus0,013
Tête enseignante GPT0,285
Écart entre enseignants0,272 · 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'étudeSimulation ou modélisation
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
Publié2025
Routes d'admission1
Résumé présentoui

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