Centre for Health Economics Research and Evaluation (CHERE), University of Technology Sydney, PO BOX 123, 2007, Broadway, Australia.
Qual Life Res. 2010 May;19(4):499-508. doi: 10.1007/s11136-010-9609-5. Epub 2010 Feb 22.
Developments in electronic data collection methods have allowed researchers to generate larger datasets at lower costs, but relatively little is known about the comparative performance of the new methods. This paper considers the comparability of two modes of administration (face-to-face and remote electronic) for the time trade-off.
Data were collected from a convenience sample of adults (n = 135) randomised to either a face-to-face time trade-off or a remote electronic tool. Patterns of responses were considered. For each sample, standard regression analysis was undertaken to generate a valuation set, which were then contrasted.
The pattern of responses differed by mode of administration, with the electronic tool yielding larger standard deviations and higher proportions of responses at -1, 0 and 1. The impact of this on the regression was difficult to disentangle from the high variability around individual scores of states, which is a common feature of responses to time trade-off tasks. Under the scoring algorithms generated by mode of administration, the difference between scores exceeded 0.1 for 100 of the 243 EQ-5D health states.
This comparison demonstrates that variability arising from mode of administration needs to be considered in developing health state valuations. While electronic administration has considerable cost advantages, particular attention to the design of the task is required. This has wider implications, as all modes of administration may have mode-specific impacts on the distribution of valuation responses.
电子数据收集方法的发展使得研究人员能够以更低的成本生成更大的数据集，但对于新方法的比较性能，人们知之甚少。本文考虑了时间权衡两种管理模式（面对面和远程电子）的可比性。
从方便的成年人样本（n=135）中收集数据，这些样本随机分配到面对面的时间权衡或远程电子工具中。考虑了反应模式。对于每个样本，都进行了标准回归分析以生成估值集，然后对这些估值集进行对比。
管理模式的反应模式不同，电子工具产生的标准偏差更大，并且在-1、0 和 1 处的反应比例更高。这种情况对回归的影响很难与个体状态评分的高变异性区分开来，这是时间权衡任务反应的常见特征。在管理模式生成的评分算法下，243 个 EQ-5D 健康状态中有 100 个的评分差异超过 0.1。
这项比较表明，在开发健康状态估值时，需要考虑来自管理模式的变异性。虽然电子管理具有相当大的成本优势，但需要特别注意任务的设计。这具有更广泛的影响，因为所有管理模式都可能对估值反应的分布产生特定于模式的影响。
