Using stated preference discrete choice modelling to inform health care decisionmaking: A pilot study of breast screening participation
Using stated preference discrete choice modelling to inform health care decisionmaking: A pilot study of breast screening participation
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DOI：
10.1080/0003684032000081348
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发表时间：
2003-06-15
影响因子：
2.2
通讯作者：
Louviere, J
中科院分区：
文献类型：
--
作者：
Gerard, K;Shanahan, M;Louviere, J
本研究是探索应用陈述偏好离散选择模型（SPDCM）用于开发乳腺筛查参与增强策略的可行性的重要开端。需要进一步的研究来建立模型的有效性和权威的结果。同时，采用主效应与选择的双向交互设计和澳大利亚乳腺癌筛查参与者的方便样本，估计随机效应二元概率选择模型。应答率为48%。揭示了对不同服务配置的明确偏好，并用于展示如何确定潜在的策略，以提高妇女在常规召回中的未来参与率。正如预期的那样，筛查的准确性是影响接受可能性的最重要的服务属性，但其他因素是筛查时间、旅行时间、有关筛查益处的信息和对隐私的渴望，这支持了福利评估超出健康因素的观点。综上所述，SPDCM方法可被视为帮助决策者提高筛查参与度的明智方法。
This study was an important start to explore the feasibility of applying stated preference discrete choice modelling (SPDCM) for use in developing breast screening participation enhancement strategies. It needs to be followed by further research to establish model validity and authoritative results. In the meantime a random effects binary probit choice model was estimated using a main effects with selected 2-way interaction design and a convenience sample of Australian breast cancer screening participants. A response rate of 48% was obtained. Clear preferences for different service configurations were revealed and used to demonstrate how potential strategies to enhance future participation rates of women placed on routine recall could be identified. As anticipated accuracy of screening was the most important attribute of the service to influence the probability of uptake but others were screening time, travel time, information about screening benefits and the desire for privacy lending support to the view that benefit assessment goes beyond health factors. In summary, the SPDCM approach can be regarded as a judicious approach for helping decision-makers improve screening participation.