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Framing health messages based on anomalies in time preference.

机译:根据时间偏好异常来构造健康消息。

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Time discounting processes and their effects are increasingly taken intoaccount in health-related decisions. Because these effects have a potentially large impact the characteristicsof discounting should also be taken into consideration when framing health messages. Research on therelationship between time and health is discussed with a special focus on discounting biases. The criteriafor selection of articles were potential practical application when formulating health messages. Timediscounting processes vary with individuals and contexts. Therefore, no single model is expected to describediscounting processes completely. Discounting biases appear more prevalent in health decisions than ineconomic decisions, even when health and monetary outcomes are matched for utility. Research on decision-makingunder conditions of uncertainty has documented numerous anomalies of expected utility. Analysis on theanomalies related to intertemporal choice and discounted utility (DU) include the magnitude effect, dynamicinconsistency effect, instant endowment, status quo bias, and sequence effect. Discounting biases inthe formulation of preventive health messages are important. The desire for behavioral change in theseprograms would benefit from considering the psychological factor of discounting. Framing health messagesin terms of large, important outcomes or long delays should induce lower implicit discount rates. Framinghealth messages as losses rather than gains, or as involving a series of outcomes rather than individualoutcomes, might similarly lower the implicit discount rate used.
机译:在健康相关的决策中,越来越多地考虑到时间打折的过程及其影响。由于这些影响可能会产生很大的影响,因此在构造健康消息时也应考虑折扣的特征。讨论了关于时间与健康之间关系的研究,重点是折现偏差。在制定健康信息时,选择物品的标准是潜在的实际应用。时间折扣过程因个人和环境而异。因此,期望没有一个模型能够完整地描述会计过程。在健康决策中,贴现偏差似乎比在经济决策中更为普遍,即使健康和货币结果与效用相匹配。关于不确定性条件下决策的研究已经证明了许多预期效用的异常情况。与跨期选择和折扣效用(DU)相关的异常分析包括幅度效应,动态不一致效应,即时instant赋,现状偏差和序列效应。在制定预防性健康信息时要消除偏差,这一点很重要。考虑到打折的心理因素,这些程序中对行为改变的渴望将会受益。以大的,重要的结果或长时间的延迟为框架来构造健康消息应该导致较低的隐式折现率。将健康信息框架化为损失而不是收益,或者涉及一系列结果而不是个人成果,可能会类似地降低所使用的隐式贴现率。

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