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健全的医疗保健经济学:提供所需的治疗(不多也不少)。

Sound health care economics: Provide the treatment needed (not less, not more).

机构信息

Northwestern University Feinberg School of Medicine.

出版信息

Health Psychol. 2019 Aug;38(8):701-704. doi: 10.1037/hea0000782.

Abstract

Founding figures in Western medicine both puzzled over and anticipated a day when demand for expensive treatments would outstrip financial wherewithal. In the United States, that day has arrived and, with it, the need for sound health care economic policy that selectively covers treatments of demonstrable effectiveness and efficiency. Standard cost-effectiveness methods exist to determine the value of alternative treatments, but they have rarely been applied to behavioral interventions in the United States. Cost-effectiveness analyses are one part of the solution to learning which treatment packages warrant coverage because they produce the most health for the most people. Another part of the solution involves applying novel multiphase optimize strategy methods to reengineer behavioral interventions so that they yield the maximum health benefit attainable for the least resource expenditure. Among the research designs in the multiphase optimize strategy toolkit are methods to derive algorithms that address naturally occurring population heterogeneity in the response to treatments. Such algorithms suggest a population-level protocol to adapt and prioritize treatment options once a patient has failed to respond to an evidence-based practice that was offered as first-line treatment. Developing sound health care economic policy for the population requires systematically figuring out who needs what care and how to provide them what they need-not less and not more. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

摘要

西方医学的奠基人既对昂贵治疗需求超过财务能力的那一天感到困惑,又对这一天的到来有所预见。在美国,这一天已经到来,随之而来的是需要健全的医疗经济政策,以有选择地涵盖具有明显效果和效率的治疗方法。现有的标准成本效益方法可用于确定替代治疗方法的价值,但这些方法在美国很少用于行为干预。成本效益分析是了解哪些治疗方案值得覆盖的解决方案的一部分,因为它们可以为大多数人带来最大的健康效益。解决方案的另一部分涉及应用新型多阶段优化策略方法对行为干预进行重新设计,以便以最低的资源支出获得可获得的最大健康效益。多阶段优化策略工具包中的研究设计包括用于制定算法的方法,这些算法可以解决治疗反应中自然出现的人群异质性问题。此类算法为人群提供了一种方案,即一旦患者对一线治疗提供的循证实践没有反应,就可以调整和优先考虑治疗方案。为人群制定合理的医疗经济政策需要系统地确定谁需要什么样的护理以及如何为他们提供所需的护理——不多也不少。(PsycINFO 数据库记录(c)2019 APA,保留所有权利)。

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