Department of Health Research and Policy, Stanford University, Stanford, CA, USA.
Med Decis Making. 2010 Sep-Oct;30(5):582-93. doi: 10.1177/0272989X09357793. Epub 2010 Mar 12.
The impact of choice on consumer decision making is controversial in US health policy.
The authors' objective was to determine how choice set size influences decision making among Medicare beneficiaries choosing prescription drug plans.
The authors randomly assigned members of an Internet-enabled panel age 65 and older to sets of prescription drug plans of varying sizes (2, 5, 10, and 16) and asked them to choose a plan. Respondents answered questions about the plan they chose, the choice set, and the decision process. The authors used ordered probit models to estimate the effect of choice set size on the study outcomes.
Both the benefits of choice, measured by whether the chosen plan is close to the ideal plan, and the costs, measured by whether the respondent found decision making difficult, increased with choice set size. Choice set size was not associated with the probability of enrolling in any plan.
Medicare beneficiaries face a tension between not wanting to choose from too many options and feeling happier with an outcome when they have more alternatives. Interventions that reduce cognitive costs when choice sets are large may make this program more attractive to beneficiaries.
在美国的健康政策中,选择对消费者决策的影响是有争议的。
作者的目的是确定选择的药物方案数量如何影响选择处方药计划的医疗保险受益人做出决策。
作者随机将年龄在 65 岁及以上的互联网面板成员分配到不同大小(2、5、10 和 16)的处方药方案组中,并要求他们选择一个方案。受访者回答了有关他们选择的计划、选择组和决策过程的问题。作者使用有序概率模型来估计选择组大小对研究结果的影响。
选择的收益,通过衡量所选计划是否接近理想计划来衡量,以及成本,通过衡量受访者是否觉得决策困难来衡量,随着选择组大小的增加而增加。选择组的大小与注册任何计划的概率无关。
医疗保险受益人面临着一种紧张的局面,即他们既不想从太多的选择中选择,又希望在有更多选择时对结果感到更满意。当选择范围较大时,减少认知成本的干预措施可能会使该计划对受益人更具吸引力。