Dynamics of Plan Choice and Prescription Drug Utilization in Medicare Part D

医疗保险 D 部分中计划选择和处方药使用的动态

基本信息

  • 批准号:
    8372015
  • 负责人:
  • 金额:
    $ 31万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2008
  • 资助国家:
    美国
  • 起止时间:
    2008-03-15 至 2016-07-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Dynamics of Plan Choice and Prescription Drug Utilization in Medicare Part D. The Medicare Part D prescription drug benefit pioneered the use of multiple private insurance providers to deliver a public insurance product, and as such raises a host of important policy questions. Are consumers capable of making an informed choice across so many private insurance options? Once enrolled in a plan, do consumers respond appropriately to the non-linear schedule of prices they face throughout the year? The key methodological innovation in our work is to construct models where choices reveal information about consumers' preferences, even when those choices are not necessarily optimal. This builds on our earlier work, which uses an incomplete data set to document evidence of inconsistencies in elders' choice of Part D plans. We will replicate and extend this work using a complete 20% sample of Medicare Part D claims provided by CMS. In particular, we will assess whether consumers tend to improve over time as beneficiaries gain experience in the market or whether consumers tend to remain in sub-optimal plans, either because they attempt to choose a better plan and fail, or because they remain in the same plan through inertia. We will develop a structural model which allows us to decompose the demand and supply side factors which drive changes in plan choices over time. Individuals enrolled in Medicare Part D face a complicated dynamic consumption decision: the prices of drugs today depend on out of pocket payments to date. Forward-looking consumers should consider their entire expected path of spending throughout the year in deciding on drug consumption at each point during the year, while time-inconsistent consumers may not do so. We will build a dynamic model of drug consumption with respect to the nonlinear budget sets facing consumers that incorporates uncertainty as well as potential discounting inconsistencies. Changes in drug consumption around the variance in drug plan pricing schedules allow us to identify both whether choices are consistent over time and how individuals react to price uncertainty. We will also extend our analysis to consider the impacts of prescription drug utilization for downstream physician and hospital spending. Our empirical strategy will allow us to estimate both an overall elasticity of hospital and doctor spending with respect to prescription drug expenditures (and coinsurances), and more particular elasticity's for different types of prescription drugs. We can use the results to provide projections of how changes in the time path of prices under Part D (e.g. filling in the donut hole) will impact annual consumption patterns of both prescription drugs and other types of medical consumption. PUBLIC HEALTH RELEVANCE: The Medicare Part D program pioneered the use of multiple private insurers to deliver a public insurance benefit, an approach which is the centerpiece of the Affordable Care Act. Our project will rigorously analyze the ability of individuals to make appropriate choices of plans within Part D, both upon initial enrollment and as they remain in the program. The results will be directly relevant to the design of Part D and will also apply to the design of exchanges and insurance options under health care reform.
描述(由申请人提供):Medicare Part D中计划选择和处方药使用的动态。医疗保险D部分处方药福利开创了使用多个私人保险提供商提供公共保险产品的先河,因此提出了一系列重要的政策问题。消费者是否有能力在这么多的私人保险选择中做出明智的选择?一旦加入了一个计划,消费者是否会对他们全年面临的非线性价格表做出适当的反应?我们工作中的关键方法创新是构建模型,其中选择揭示了消费者偏好的信息,即使这些选择不一定是最佳的。这是建立在我们早期的工作,其中使用了一个不完整的数据集,以文件的证据不一致的老人的选择D部分计划。我们将使用CMS提供的完整的20% Medicare Part D索赔样本复制和扩展这项工作。特别是,我们将评估消费者是否倾向于随着受益人在市场上获得经验而随着时间的推移而改善,或者消费者是否倾向于留在次优计划中,因为他们试图选择一个更好的计划并失败,或者因为他们通过惯性留在同一个计划中。我们将开发一个结构模型,使我们能够分解随着时间的推移推动计划选择变化的需求和供应方面的因素。参加医疗保险D部分的个人面临着复杂的动态消费决策:今天的药品价格取决于迄今为止的自付费用。前瞻性的消费者在决定一年中每个时间点的药物消费时,应该考虑他们全年的整个预期支出路径,而时间不一致的消费者可能不会这样做。我们将建立一个动态模型的药物消费方面的非线性预算集面对的消费者,包括不确定性以及潜在的折扣不一致。围绕药物计划定价时间表差异的药物消费变化使我们能够确定选择是否随着时间的推移而一致,以及个人对价格不确定性的反应。我们还将扩展我们的分析,以考虑处方药使用对下游医生和医院支出的影响。我们的实证策略将使我们能够估计医院和医生的支出相对于处方药支出(和共同保险)的总体弹性,以及不同类型处方药的更具体的弹性。我们可以利用这些结果来预测D部分下价格的时间路径变化(例如填补甜甜圈洞)将如何影响处方药和其他类型医疗消费的年度消费模式。 公共卫生关系:医疗保险D部分计划开创了使用多个私人保险公司提供公共保险福利的先河,这种方法是《平价医疗法案》的核心。我们的项目将严格分析个人在D部分中做出适当选择计划的能力,无论是在初始注册时还是在计划中。研究结果将直接关系到D部分的设计,也将适用于保健改革下的交换和保险选择的设计。

项目成果

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JONATHAN GRUBER其他文献

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{{ truncateString('JONATHAN GRUBER', 18)}}的其他基金

Dynamics of Plan Choice and Prescription Drug Utilization in Medicare Part D
医疗保险 D 部分中计划选择和处方药使用的动态
  • 批准号:
    8517530
  • 财政年份:
    2008
  • 资助金额:
    $ 31万
  • 项目类别:
Choice and Consequences in the Medicare Part D Plan
Medicare D 部分计划中的选择和后果
  • 批准号:
    7586202
  • 财政年份:
    2008
  • 资助金额:
    $ 31万
  • 项目类别:
Choice and Consequences in the Medicare Part D Plan
Medicare D 部分计划中的选择和后果
  • 批准号:
    7354485
  • 财政年份:
    2008
  • 资助金额:
    $ 31万
  • 项目类别:
Choice and Consequences in the Medicare Part D Plan
Medicare D 部分计划中的选择和后果
  • 批准号:
    8042598
  • 财政年份:
    2008
  • 资助金额:
    $ 31万
  • 项目类别:
Choice and Consequences in the Medicare Part D Plan
Medicare D 部分计划中的选择和后果
  • 批准号:
    7796560
  • 财政年份:
    2008
  • 资助金额:
    $ 31万
  • 项目类别:
Dynamics of Plan Choice and Prescription Drug Utilization in Medicare Part D
医疗保险 D 部分中计划选择和处方药使用的动态
  • 批准号:
    8706738
  • 财政年份:
    2008
  • 资助金额:
    $ 31万
  • 项目类别:
Dynamics of Plan Choice and Prescription Drug Utilization in Medicare Part D
医疗保险 D 部分中计划选择和处方药使用的动态
  • 批准号:
    8896380
  • 财政年份:
    2008
  • 资助金额:
    $ 31万
  • 项目类别:
Impact of Changing Public Policy on the Family
公共政策变化对家庭的影响
  • 批准号:
    6888095
  • 财政年份:
    2003
  • 资助金额:
    $ 31万
  • 项目类别:
Impact of Changing Public Policy on the Family
公共政策变化对家庭的影响
  • 批准号:
    6601711
  • 财政年份:
    2003
  • 资助金额:
    $ 31万
  • 项目类别:
Impact of Changing Public Policy on the Family
公共政策变化对家庭的影响
  • 批准号:
    6737548
  • 财政年份:
    2003
  • 资助金额:
    $ 31万
  • 项目类别:

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