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首页> 外文期刊>Medical decision making: An international journal of the Society for Medical Decision Making >Designing Unforced Choice Experiments to Inform Health Care Decision Making: Implications of Using Opt-Out, Neither, or Status Quo Alternatives in Discrete Choice Experiments
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Designing Unforced Choice Experiments to Inform Health Care Decision Making: Implications of Using Opt-Out, Neither, or Status Quo Alternatives in Discrete Choice Experiments

机译：设计未策划的选择实验，告知医疗保健决策：在离散选择实验中使用退出，既不是或现状的影响

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Background. Discrete choice experiments (DCEs) are increasingly used in the health care context to inform on patient preferences for health care services. In order for such experiments to provide useful and policy-relevant information, it is vital that the design includes those options that the respondent faces in the real-life situation. Whether to include opt-out, neither, or status quo alternatives has, however, received little attention in the DCE literature. We aim to investigate whether the use of different unforced choice formats affects DCE results in different settings: 1) opt-out versus neither in a health care market where there is no status quo and 2) including status quo in addition to opt-out in a health care market with a status quo. Design. A DCE on Dutch citizens' preferences for personal health records served as our case, and 3189 respondents were allocated to the different unforced choice formats. We used mixed logit error component models to estimate preferences. Results. We found that the use of different unforced choice formats affects marginal utilities and welfare estimates and hence the conclusions that will be drawn from the DCE to inform health care decision making. Conclusions. To avoid biased estimates, we recommend that researchers are hesitant to use the neither option and consider including a status quo in addition to opt-out in settings where a status quo exists.
机译：背景。离散选择实验（DCE）越来越多地用于医疗保健背景下，以通知患者偏好保健服务。为了提供提供有用和政策相关信息的实验，设计包括被访者面临现实情况中的那些选择。无论是包括选择退出，既不是或现状的替代品都没有在DCE文献中接受过很少的关注。我们的目标是调查使用不同的未加强选择格式的使用是否影响了不同的设置：1）在没有现状和2）的医疗保健市场中，选择退出，包括外部退出的状态Quo一个带有现状的医疗市场。设计。荷兰公民对个人健康记录的偏好作为我们的案件，以及3189名受访者被分配给不同的未加工选择格式。我们使用混合Logit错误组件模型来估计偏好。结果。我们发现，使用不同的未加强选择格式会影响边际公用事业和福利估计，因此将从DCE中汲取的结论，以告知医疗保健决策。结论。为避免偏见估计，我们建议研究人员犹豫不决，无法使用该选项，并考虑除了在现有状态存在的设置中选择退出状态。

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