Department of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, USA.
Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA.
Patient. 2024 Mar;17(2):109-120. doi: 10.1007/s40271-024-00672-z. Epub 2024 Feb 16.
Discrete-choice experiments (DCEs) are a frequently used method to explore the preferences of patients and other decision-makers in health. Pretesting is an essential stage in the design of a high-quality choice experiment and involves engaging with representatives of the target population to improve the readability, presentation, and structure of the preference instrument. The goal of pretesting in DCEs is to improve the validity, reliability, and relevance of the survey, while decreasing sources of bias, burden, and error associated with preference elicitation, data collection, and interpretation of the data. Despite its value to inform DCE design, pretesting lacks documented good practices or clearly reported applied examples. The purpose of this paper is: (1) to define pretesting and describe the pretesting process specifically in the context of a DCE, (2) to present a practical guide and pretesting interview discussion template for researchers looking to conduct a rigorous pretest of a DCE, and (3) to provide an illustrative example of how these resources were operationalized to inform the design of a complex DCE aimed at eliciting tradeoffs between personal privacy and societal benefit in the context of a police method known as investigative genetic genealogy (IGG).
离散选择实验(DCE)是一种常用于探索患者和其他决策者在健康方面偏好的方法。预测试是高质量选择实验设计的一个重要阶段,它涉及到与目标人群的代表进行接触,以提高偏好工具的可读性、呈现方式和结构。DCE 中的预测试旨在提高调查的有效性、可靠性和相关性,同时减少与偏好 elicitation、数据收集和数据解释相关的偏倚、负担和误差的来源。尽管它对 DCE 设计具有重要意义,但预测试缺乏记录良好的实践或明确报告的应用实例。本文的目的是:(1)定义预测试,并在 DCE 的背景下具体描述预测试过程;(2)为希望对 DCE 进行严格预测试的研究人员提供实用指南和预测试访谈讨论模板;(3)提供一个示例来说明如何利用这些资源来为设计一个复杂的 DCE 提供信息,该 DCE 旨在在警方称为调查性遗传谱系学(IGG)的方法背景下,平衡个人隐私和社会效益之间的权衡。