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Nominal group technique to select attributes for discrete choice experiments: an example for drug treatment choice in osteoporosis

机译:标称群技术为离散选择实验选择属性:骨质疏松症药物治疗选择的一个例子

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Background: Attribute selection represents an important step in the development of discrete-choice experiments (DCEs), but is often poorly reported. In some situations, the number of attributes identified may exceed what one may find possible to pilot in a DCE. Hence, there is a need to gain insight into methods to select attributes in order to construct the final list of attributes. This study aims to test the feasibility of using the nominal group technique (NGT) to select attributes for DCEs.Methods: Patient group discussions (4–8 participants) were convened to prioritize a list of 12 potentially important attributes for osteoporosis drug therapy. The NGT consisted of three steps: an individual ranking of the 12 attributes by importance from 1 to 12, a group discussion on each of the attributes, including a group review of the aggregate score of the initial rankings, and a second ranking task of the same attributes.Results: Twenty-six osteoporotic patients participated in five NGT sessions. Most (80%) of the patients changed their ranking after the discussion. However, the average initial and final ranking did not differ markedly. In the final ranking, the most important medication attributes were effectiveness, side effects, and frequency and mode of administration. Some (15%) of the patients did not correctly rank from 1 to 12, and the order of attributes did play a role in the ranking.Conclusion: The NGT is feasible for selecting attributes for DCEs. Although in the context of this study, the NGT session had little impact on prioritizing attributes, this approach is rigorous, transparent, and improves the face validity of DCEs. Additional research in other contexts (different decisional problems or different diseases) is needed to determine the added value of the NGT session, to assess the optimal ranking/rating method with control of ordering effects, and to compare the attributes selected with the different approaches.
机译:背景:属性选择代表了离散选择实验(DCE)的发展中的重要一步,但报告很少。在某些情况下,识别出的属性数量可能会超过在DCE中可能进行引导的属性。因此,需要深入了解选择属性的方法,以构建最终的属性列表。这项研究旨在测试使用名义群体技术(NGT)选择DCE的属性的可行性。方法:召集患者小组讨论(4至8名参与者),以优先考虑骨质疏松药物治疗的12种潜在重要属性的清单。 NGT包括三个步骤:按重要性从1到12分别对12个属性进行排名,对每个属性进行小组讨论,包括对初始排名的总得分进行小组审查,以及对第二个排名任务进行排名。结果:26名骨质疏松患者参加了5次NGT会议。讨论之后,大多数(80%)患者更改了排名。但是,平均初始排名和最终排名没有明显差异。在最终排名中,最重要的药物属性是有效性,副作用以及给药频率和方式。一些患者(15%)没有正确地从1到12进行排名,属性的顺序确实在排名中起作用。结论:NGT对于选择DCE的属性是可行的。尽管在本研究的背景下,NGT会话对属性的优先级排序影响不大,但是这种方法严格,透明并且提高了DCE的面部有效性。需要在其他情况下(不同的决策问题或不同的疾病)进行其他研究,以确定NGT会议的附加价值,评估具有排序效应控制的最佳排名/评分方法,并比较使用不同方法选择的属性。

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