首页> 外文期刊>The European journal of health economics: HEPAC : health economics in prevention and care >Genetic screening, health care and the insurance industry: Should genetic information be made available to insurers?
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Genetic screening, health care and the insurance industry: Should genetic information be made available to insurers?

机译:基因筛查,医疗保健和保险业:遗传信息应提供给保险公司吗?

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The potential use of genetic tests in insurance has raised concerns about discrimination and individuals losing access to health care either because of refusals to test for treatable diseases, or because test-positives cannot afford premiums. Governments have so far largely sought to restrict the use of genetic information by insurance companies. To date the number of tests available with significant actuarial value is limited. However, this is likely to change, raising more clearly the question as to whether the social costs of adverse selection outweigh the social costs of individuals not accessing health care for fear of the consequences of test information being used in insurance markets. In this contribution we set out the policy context and model the potential trade-offs between the losses faced by insurers from adverse selection by insurees (which will increase premiums reducing consumer welfare) and the detrimental health effects that may result from persons refusing to undergo tests that could identify treatable health conditions. It argues that the optimal public policy on genetic testing should reflect overall societal benefit, taking account of these trade-offs. Based on our model, the factors that influence the outcome include: the size of and value attached to the health gains from treatment; deterrent effects of a disclosure requirement on testing for health reasons; incidence of the disease; propensity of test-positives to adverse select; policy value adverse selectors buy in a non-disclosure environment; and price elasticity of demand for insurance. Our illustrative model can be used as a benchmark for developing other scenarios or incorporating real data in order to address the impact of different policies on disclosure and requirement to test.
机译:基因测试在保险中的潜在用途引起了人们的担忧,即由于拒绝测试可治疗的疾病,或者因为测试阳性者负担不起保险费,个人可能无法获得医疗保健。迄今为止,各国政府在很大程度上试图限制保险公司对遗传信息的使用。迄今为止,具有有效精算值的可用测试数量受到限制。但是,这种情况可能会改变,从而更明确地提出一个问题,即逆向选择的社会成本是否超过因担心保险市场使用测试信息的后果而无法获得医疗服务的个人的社会成本。在此文稿中,我们确定了政策背景,并在保险人因被保险人的逆向选择而蒙受的损失(这将增加保费,降低了消费者的福利)与因拒绝接受检测的人可能造成的有害健康影响之间的潜在权衡取舍。可以确定可治疗的健康状况。它认为,考虑到这些权衡取舍,关于基因检测的最佳公共政策应反映总体社会利益。根据我们的模型,影响结果的因素包括:治疗带来的健康收益的大小和价值;出于健康原因,披露要求对测试的威慑作用;该病的发病率;测试阳性的人倾向于逆向选择;政策价值不利的选择者在不公开的环境中购买;和保险需求的价格弹性。我们的说明性模型可以用作开发其他方案或合并实际数据的基准,以解决不同政策对披露和测试要求的影响。

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