Economics, School of Social Sciences, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
Division of Population Health, Health Services Research and Primary Care, Manchester Centre for Health Economics, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
Patient. 2020 Feb;13(1):31-41. doi: 10.1007/s40271-019-00385-8.
The desire to understand the preferences of patients, healthcare professionals and the public continues to grow. Health valuation studies, often in the form of discrete choice experiments, a choice based survey approach, proliferate as a result. A variety of methods of pre-choice process analysis have been developed to investigate how and why people make their decisions in such experiments and surveys. These techniques have been developed to investigate how people acquire and process information and make choices. These techniques offer the potential to test and improve theories of choice and/or associated empirical models. This paper provides an overview of such methods, with the focus on their use in stated choice-based healthcare studies. The methods reviewed are eye tracking, mouse tracing, brain imaging, deliberation time analysis and think aloud. For each method, we summarise the rationale, implementation, type of results generated and associated challenges, along with a discussion of possible future developments.
人们越来越希望了解患者、医疗保健专业人员和公众的偏好。因此,健康估值研究(通常采用离散选择实验这种基于选择的调查方法)大量涌现。已经开发出各种预选择过程分析方法来研究人们如何以及为何在这些实验和调查中做出决策。这些技术旨在研究人们如何获取、处理信息并做出选择。这些技术为检验和改进选择理论和(或)相关经验模型提供了可能。本文概述了这些方法,重点介绍了它们在基于陈述的医疗保健研究中的应用。所回顾的方法包括眼动追踪、鼠标追踪、脑成像、思考时间分析和出声思维。对于每种方法,我们都总结了其原理、实施、生成的结果类型以及相关挑战,并讨论了可能的未来发展方向。