Vass Caroline, Boeri Marco, Shields Gemma, Seo Jaein
RTI Health Solutions, Manchester, UK.
Open Health, Belfast, UK.
Patient. 2024 Sep;17(5):483-491. doi: 10.1007/s40271-024-00693-8. Epub 2024 Apr 17.
The interest in quantifying stated preferences for health and healthcare continues to grow, as does the technology available to support and improve health preference studies. Technological advancements in the last two decades have implications and opportunities for preference researchers designing, administering, analysing, interpreting and applying the results of stated preference surveys. In this paper, we summarise selected technologies and how these can benefit a preference study. We discuss empirical evaluations of the technology in preference research, with examples from health where possible. The technologies reviewed include serious games, virtual reality, eye tracking, innovative formats and decision aids with values clarification components. We conclude with a critical reflection on the benefits and limitations of implementing (often costly) technology alongside stated preference studies.
对量化健康和医疗保健方面的陈述性偏好的兴趣持续增长,支持和改进健康偏好研究的可用技术也是如此。过去二十年的技术进步为偏好研究人员在设计、实施、分析、解释和应用陈述性偏好调查结果方面带来了影响和机遇。在本文中,我们总结了选定的技术以及这些技术如何使偏好研究受益。我们讨论了该技术在偏好研究中的实证评估,并尽可能列举健康领域的实例。所审查的技术包括严肃游戏、虚拟现实、眼动追踪、创新形式以及带有价值观澄清组件的决策辅助工具。我们最后对在陈述性偏好研究中采用(通常成本高昂的)技术的益处和局限性进行了批判性反思。