共同支付最大化者对使用专科药物患者总责任的影响。

IF 2.9 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Daniel Sheinson, Achal Patel, William B Wong
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引用次数: 0

摘要

背景:保险公司越来越多地使用共同支付最大化方案来控制成本。尽管这些项目使患者免于自费购买药物,但对其他医疗保健服务的自费费用的影响尚不清楚。目的:探讨共同支付最大化方案对所有医疗保健服务的总体患者责任的影响。方法:对来自IQVIA PharMetrics Plus数据库的药学和医疗索赔进行回顾性分析,纳入了在2018年至2022年之间的日历年中需要服用3种或更多处方(用于自身免疫性、多发性硬化症或口服溶瘤药)的患者,并在该年内连续参加商业计划。采用一种算法来识别在每个日历年内假定暴露于共同支付最大化计划的患者。假定在某一年接受过最大化治疗方案而在前几年没有接受过最大化治疗方案的患者符合最大化治疗队列的条件。没有假定暴露于最大化方案的患者符合非最大化队列的条件。符合条件的患者在研究队列中按1:1匹配。感兴趣的结果是共同支付最大化方案对患者对其他医疗保健服务责任的影响(通过使用广义线性混合效应模型的差中差(DiD)方法)。结果:共纳入5976例患者。假设从基线到随访的总成本没有变化,共同支付最大化计划与患者对其他医疗保健服务的责任增加有关。当基线期患者对最大化药物的负债为125美元时,患者对其他医疗保健服务的负债没有影响(DiD [95% CI] = 0.98[0.71-1.37]),而在4,000美元时,患者对其他医疗保健服务的负债增加了51%(1.51[1.17-1.95])。在总成本从基线到随访发生变化的情景分析中,结果与基本情况相似。在基线时没有其他医疗保健患者责任(0美元)的患者亚组中,与未参加共同支付最大化计划的患者相比,参加共同支付最大化计划的患者在随访期间对其他医疗保健服务承担一些(0美元)患者责任的比例更大(94.3%对63.2%)。结论:我们的研究结果表明,共同支付最大化计划与患者对其他医疗保健服务的责任增加有关,特别是对于严重依赖最大化药物来满足免赔额要求或OOP最高限额的患者。这些发现应纳入实施和管理这些项目的决定和政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of copay maximizers on total patient liability among patients using specialty medicines.

Background: Insurers increasingly use copay maximizer programs to control costs. Although these programs shield patients from out-of-pocket (OOP) exposure for drugs, the impact on OOP costs for other health care services is unknown.

Objective: To examine the impact of copay maximizer programs on overall patient liability for all health care services.

Methods: This retrospective analysis of pharmacy and medical claims from the IQVIA PharMetrics Plus database included patients who were required to have 3 or more prescriptions (for autoimmune, multiple sclerosis, or oral oncolytic drugs) in a calendar year between 2018 and 2022 and have been continuously enrolled in a commercial plan during that year. An algorithm was applied to identify patients with presumed exposure to a copay maximizer program within each calendar year. Patients with presumed exposure to a maximizer program in a given year and no exposure to a maximizer program in prior years were eligible for the maximizer cohort. Patients without presumed exposure to a maximizer program were eligible for the nonmaximizer cohort. Eligible patients were matched 1:1 for the study cohorts. The outcome of interest was the effect of copay maximizer programs on patient liability for other health care services (via a difference-in-difference [DiD]) approach using a generalized linear mixed-effects model).

Results: In total, 5,976 patients were included in the analysis. Assuming no change in total costs from baseline to follow-up, copay maximizer programs were associated with increased patient liability for other health care services. When patient liabilities for the maximizer drug in the baseline period were $125, there was no effect on patient liabilities for other health care services (DiD [95% CI] = 0.98 [0.71-1.37]), whereas at $4,000, there was a 51% increase in patient liabilities for other health care services (1.51 [1.17-1.95]). In scenario analyses for which total costs changed from baseline to follow-up, results were similar to the base case. In the patient subgroup with no other health care patient liability at baseline ($0), a greater proportion of those who participated in a copay maximizer program had some (>$0) patient liability for other health care services in the follow-up period, compared with patients who did not participate (94.3% vs 63.2%).

Conclusions: Our results indicated that copay maximizer programs are associated with an increase in patient liability for other health care services, especially for patients who relied heavily on the maximizer drug to meet deductible requirements or OOP maximums. These findings should be factored into decisions and policies on implementing and regulating these programs.

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来源期刊
Journal of managed care & specialty pharmacy
Journal of managed care & specialty pharmacy Health Professions-Pharmacy
CiteScore
3.50
自引率
4.80%
发文量
131
期刊介绍: JMCP welcomes research studies conducted outside of the United States that are relevant to our readership. Our audience is primarily concerned with designing policies of formulary coverage, health benefit design, and pharmaceutical programs that are based on evidence from large populations of people. Studies of pharmacist interventions conducted outside the United States that have already been extensively studied within the United States and studies of small sample sizes in non-managed care environments outside of the United States (e.g., hospitals or community pharmacies) are generally of low interest to our readership. However, studies of health outcomes and costs assessed in large populations that provide evidence for formulary coverage, health benefit design, and pharmaceutical programs are of high interest to JMCP’s readership.
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