Modeling the Effects of Formulary Exclusions: How Many Patients Could Be Affected by a Specific Exclusion?

IF 2.3 Q2 ECONOMICS Journal of Health Economics and Outcomes Research Pub Date : 2024-03-25 eCollection Date: 2024-01-01 DOI:10.36469/001c.94544
Anne M Sydor, Emily Bergin, Jonathan Kay, Erik Stone, Robert Popovian
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Abstract

Background: Medication formularies, initially designed to promote the use of cost-effective generic drugs, are now designed to maximize financial benefits for the pharmacy benefit management companies that negotiate purchase prices. In the second-largest pharmacy benefit management formulary that is publicly available, 55% of mandated substitutions are not for generic or biosimilar versions of the same active ingredient and/or formulation and may not be medically or financially beneficial to patients. Methods: We modeled the effect of excluding novel agents for atrial fibrillation/venous thromboembolism, migraine prevention, and psoriasis, which all would require substitution with a different active ingredient. Using population data, market share of the 2 largest US formularies, and 2021 prescription data, we calculated how many people could be affected by such exclusions. Using data from the published literature, we calculated how many of those individuals are likely to discontinue treatment and/or have adverse events due to a formulary exclusion. Results: The number of people likely to have adverse events due to the exclusion could be as high as 1 million for atrial fibrillation/venous thromboembolism, 900 000 for migraine prevention, and 500 000 for psoriasis. The numbers likely to discontinue treatment for their condition are as high as 924 000 for atrial fibrillation/venous thromboembolism, 646 000 for migraine, and 138 000 for psoriasis. Conclusion: Substitution with a nonequivalent treatment is common in formularies currently in use and is not without substantial consequences for hundreds of thousands of patients. Forced medication substitution results in costly increases in morbidity and mortality and should be part of the cost-benefit analysis of any formulary exclusion.

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建立处方集排除效应模型:特定排除条款会影响多少患者?
背景:药品目录最初是为了促进使用具有成本效益的非专利药品,而现在则是为了使负责谈判采购价格的药房福利管理公司获得最大的经济利益。在公开的第二大药房福利管理处方集中,55% 的强制替代药物不是相同活性成分和/或制剂的仿制药或生物类似药,因此可能对患者没有医疗或经济上的益处。方法:我们模拟了排除治疗心房颤动/静脉血栓栓塞、偏头痛预防和银屑病的新型药物的效果,这些药物都需要用不同的活性成分替代。我们利用人口数据、美国两大处方集的市场份额以及 2021 年的处方数据,计算出此类排除可能会影响多少人。利用已发表文献中的数据,我们计算出其中有多少人可能会因处方排除而中断治疗和/或发生不良事件。结果:在心房颤动/静脉血栓栓塞方面,因排除而可能发生不良事件的人数可能高达 100 万,在偏头痛预防方面可能高达 90 万,在银屑病方面可能高达 50 万。对于心房颤动/静脉血栓栓塞症,可能中断治疗的人数高达 924 000 人;对于偏头痛,可能中断治疗的人数高达 646 000 人;对于银屑病,可能中断治疗的人数高达 138 000 人。结论在目前使用的药物目录中,以非等效疗法替代药物的情况十分普遍,这对数十万患者造成了严重后果。强制替代药物会导致发病率和死亡率的增加,代价高昂,因此应将其作为任何处方集排除的成本效益分析的一部分。
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来源期刊
CiteScore
3.00
自引率
0.00%
发文量
55
审稿时长
10 weeks
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