在数据可用性受限的国家设计可行和有效的医疗计划付款

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2022-01-20 DOI:10.1111/jori.12372
Josefa Henriquez, Marica Iommi, Thomas McGuire, Emmanouil Mentzakis, Francesco Paolucci
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引用次数: 5

摘要

风险均摊计划将资金转移给/从风险高于/低于平均水平的保险公司,是许多国家受监管的健康保险市场的基本工具。风险分担(将部分成本责任从计划转移到监管机构或整个保险市场)是隔离吸引高于平均水平风险的保险公司的另一种方法。本文提出,实施和量化纳入风险分担的风险均衡方案,可应用于数据贫乏的背景下。以智利的私人医疗保险市场为例研究,我们表明适度的风险分担大大提高契合度,甚至在简单的基于人口的风险均衡。将模型的公式扩展到包括基于发病率的调整器和风险分担,在保险公司层面重新定向补偿,并减少了在集团层面参与有利可图的风险选择的机会。我们对可行性的强调可能使所提出的替代方案对面临数据可用性限制的国家具有吸引力。
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Designing feasible and effective health plan payments in countries with data availability constraints

Risk equalization schemes, which transfer money to/from insurers that have above/below average risks, are a fundamental tool in regulated health insurance markets in many countries. Risk sharing (the transfer of some responsibility for costs from a plan to the regulator or the overall insurance market), are an additional method of insulating insurers who attract higher-than-average risks. This paper proposes, implements and quantifies incorporating risk sharing within a risk equalization scheme that can be applied in a data-poor context. Using Chile's private health insurance market as case study, we show that modest amount of risk sharing greatly improves fit even in simple demographic-based risk equalization. Expanding the model's formula to include morbidity-based adjustors and risk sharing redirects compensations at insurer level and reduces opportunity to engage in profitable risk selection at the group level. Our emphasis on feasibility may make alternatives proposed attractive to countries facing data-availability constraints.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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