幕后:对面试者在EQ-5D评估研究中的表现进行定性调查
Carlotta Varriale1, Giovanni Andrulli2, Michela Meregaglia3
1Economics Department, OECD, Paris, France.
PharmacoEconomics - open
|April 9, 2024
概括
这项研究分析了EQ-VT访谈中的访谈者对话,发现积极的互动模式可以提高数据质量. 这些见解可以增强面试官培训和EQ-VT研究的质量控制.
科学领域:
- 卫生经济学 卫生经济学
- 心理测量 心理测量 心理测量
- 定性研究方法 定性研究方法
背景情况:
- 在全球范围内,EuroQol估值技术 (EQ-VT) 协议是EQ-5D仪器估值研究的标准.
- 目前EQ-VT的质量控制 (QC) 仅依赖于定量指标.
研究的目的:
- 在EQ-VT面试中探索面试者的对话模式,超出定量QC指标.
- 调查面试者与受访者之间的互动如何影响评估研究中的数据质量.
主要方法:
- 从意大利EQ-5D-5L估值研究中录制的24个视频采访被转录和编码.
- 对话分析确定了积极和消极的互动模式,并将其分为主题.
- 基于这些模式的评分系统应用于42次采访.
主要成果:
- 确定了20个积极的和14个负面的面试模式,与任务执行和沟通技巧有关.
- 积极的模式包括受访者参与和明确的解释;负面的模式涉及忙和不清楚的指示.
- 面试人员的表现随着时间的推移而有所改善,定性得分与定量QC指标相关.
结论:
- 识别的对话模式可以为EQ-VT面试官培训材料提供信息.
- 这些定性见解可以补充评估研究的现有定量QC流程.
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