Penn M S, Yenikomshian M A, Cummings A K G, Klemes A, Damron J M, Purvis S, Beidelschies M, Birnbaum H G
Cleveland HeartLab, Inc., Cleveland, OH, USA, and Summa Cardiovascular Institute, Summa Health System , Akron, OH , USA.
J Med Econ. 2015;18(7):483-91. doi: 10.3111/13696998.2015.1029490. Epub 2015 Apr 1.
To develop an economic model to estimate the change in the number of events and costs of non-fatal myocardial infarction (MI) and non-fatal ischemic stroke (IS) as a result of implementing routine risk-stratification with a multiple inflammatory biomarker approach.
Reductions in the numbers of non-fatal MI and non-fatal IS events and in related per-member-per-month (PMPM) and 5-year costs (excluding test costs) due to biomarker testing were modeled for a US health plan with one million beneficiaries. Inputs for the model included literature-based MI and IS incidence rates, healthcare costs associated with MI and IS, laboratory results of biomarker testing, MI and IS hazard ratios related to biomarker levels, patient monitoring and intervention costs and use/costs of preventative pharmacotherapy. Preventative pharmacotherapy inputs were based on an analysis of pharmacy claims data. Costs savings (2013 USD) were assessed for patients undergoing biomarker testing compared to the standard of care. Data from MDVIP and Cleveland Heart Lab supported two critical inputs: (1) treatment success rates and (2) the population distribution of biomarker testing. Incidence rates, hazard ratios, and other healthcare costs were obtained from the literature.
For a health plan with one million members, an estimated 21,104 MI and 22,589 IS events occurred in a 5-year period. Routine biomarker testing among a sub-group of beneficiaries ≥35 years old reduced non-fatal MI and IS events by 2039 and 1869, respectively, yielding cost savings of over $187 million over 5 years ($3.13 PMPM), excluding test costs. Results were sensitive to changes in treatment response rates. Nonetheless, cost savings were observed for all input values.
This study suggests that health plans can realize substantial cost savings by preventing non-fatal MI and IS events after implementation of routine biomarker testing. Five-year cost savings before test costs could exceed $3.13 PMPM.
建立一个经济模型,以估计采用多种炎症生物标志物方法进行常规风险分层后,非致命性心肌梗死(MI)和非致命性缺血性中风(IS)的事件数量及成本变化。
针对一个拥有100万受益人的美国健康计划,模拟了生物标志物检测导致的非致命性MI和非致命性IS事件数量减少,以及相关的每月每位成员成本(PMPM)和5年成本(不包括检测成本)。该模型的输入数据包括基于文献的MI和IS发病率、与MI和IS相关的医疗成本、生物标志物检测的实验室结果、与生物标志物水平相关的MI和IS风险比、患者监测和干预成本以及预防性药物治疗的使用/成本。预防性药物治疗的输入数据基于对药房索赔数据的分析。与标准治疗相比,评估了接受生物标志物检测的患者的成本节约情况(2013年美元)。来自MDVIP和克利夫兰心脏实验室的数据支持了两个关键输入:(1)治疗成功率和(2)生物标志物检测的人群分布。发病率、风险比和其他医疗成本来自文献。
对于一个拥有100万成员的健康计划,在5年期间估计发生了21,104例MI和22,589例IS事件。在年龄≥35岁的受益人群体中进行常规生物标志物检测,分别使非致命性MI和IS事件减少了2039例和1869例,在不包括检测成本的情况下,5年期间节省成本超过1.87亿美元(PMPM为3.13美元)。结果对治疗反应率的变化敏感。尽管如此,所有输入值均显示出成本节约。
本研究表明,健康计划在实施常规生物标志物检测后,通过预防非致命性MI和IS事件可实现大幅成本节约。在不包括检测成本的情况下,5年成本节约可能超过PMPM 3.13美元。