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Allocating treatment resources for hepatitis C in the UK: a constrained optimization modelling approach

机译:英国丙型肝炎治疗资源分配:约束优化建模方法

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ABSTRACT Background and objective: Although the treatment of chronic hepatitis C (CHC) has significantly evolved with the introduction of direct-acting antivirals, the treatment uptake rates have been low especially among marginalized groups in the UK, such as people who inject drug (PWID) and men who have sex with men (MSM). Cutting health inequality is a major focus of healthcare agencies. This study aims to identify the optimal allocation of treatment budget for chronic hepatitis CHC among populations and treatments in the UK so that liver-related mortality in patients with CHC is minimized, given the constraint of treatment budget and equity issue. Methods: A constrained optimization modelling of resource allocation for the treatment of CHC was developed in Excel from the perspective of the UK National Health System over a lifetime horizon. The model was designated with the objective function of minimizing liver-related deaths by varying the decision variables, representing the number of patients receiving each treatment (elbasvir-grazoprevir, ombitasvir-paritaprevir-ritonavir-dasabuvir, sofosbuvir-ledipasvir, and pegylated interferon-ribavirin) in each population (the general population, PWID, and MSM). Two main constraints were formulated including treatment budget and the issue of equity. The model was populated with UK local data applying linear programming and underwent internal and external validation. Scenario analyses were performed to assess the robustness of model results. Results: Within the constraints of no additional funding over original spending in status quo and the consideration of the issue of equity among populations, the optimal allocation from the constrained optimization modelling (treating 13,122 PWID, 160 MSM, and 904 general patients with ombitasvir-paritaprevir-ritonavir-dasabuvir) was found to treat 2,430 more patients (relative change: 20.7%) and avert 78 liver-related deaths (relative change: 0.3%) compared with the current allocation. The number of patients receiving treatment increased 4,928 (relative change: 60.1%) among PWID and 42 (relative change: 35.8%) among MSM. Conclusion: The current allocation of treatment budget for CHC is not optimal in the UK. More patients would be treated, and more liver-related deaths would be avoided using a new allocation from a constrained optimization modelling without incurring additional spending and considering the issue of equity.
机译:摘要背景和目的:虽然慢性丙型肝炎(CHC)的治疗引进了直接作用抗病毒药人,但治疗吸收率尤其是英国边缘化群体,例如注射药物的人(PWID)和男人(MSM)发生性关系的人。切割健康不平等是医疗保健机构的主要焦点。本研究旨在确定英国群体和治疗中慢性丙型肝炎治疗预算的最佳处理预算,以便鉴于治疗预算和股权问题的限制,CHC患者的肝相关死亡率最小化。方法:从英国国家卫生系统在寿命范围内的角度,在Excel中开发了一个受限制的CHC资源分配的优化建模。该模型以通过改变决策变量最小化肝相关的死亡的目标函数,代表接受每种治疗的患者数量(Elbasvir-GrazopRevir,Obsitasvir-Paritaprevir-ritonavir-dasbuvir,Sofosbuvir-Leedipasvir和Pegylated干扰素 - 利巴韦林)在每个人口(一般人口,PWID和MSM)中。制定了两个主要限制,包括治疗预算和股权问题。该模型被英国本地数据填充了应用线性编程和接受内部和外部验证。执行场景分析以评估模型结果的稳健性。结果:在额外的资金的制约中,原始支出的额外资金和群体在群体中的股权问题的审议,来自约束优化建模的最佳分配(治疗13,122个PWID,160 MSM和904名普通术患者的IMNITASVIR-PARITAPREVIR - 与目前分配相比,发现-RitOnavir-Dasbuvir)治疗2,430名患者(相对变化:20.7%)和Avert 78肝相关的死亡(相对变化:0.3%)。在MSM中,接受治疗的患者数量增加4,928(相对变化:60.1%)(相对变化:35.8%)。结论:目前CHC治疗预算的分配在英国不是最佳的。更多患者将被治疗,并且使用来自受限制的优化建模的新分配,将避免更多肝相关的死亡,而不会产生额外支出并考虑股权问题。

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