在加拿大北克的一个普通人群中使用离散选择实验来评估SF-6Dv2
Hosein Ameri1,2, Thomas G Poder1,2
1School of Public Health, University of Montreal, Montreal, QC, Canada.
International journal of health policy and management
|December 2, 2024
概括
这项研究为加拿大北克的SF-6Dv2分类系统开发了一套新的健康实用值. 由此产生的值集准确地反映了一般人口对健康状况的偏好,有助于健康经济评估.
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
- 结果测量 结果测量
背景情况:
- 一个更新的简短形式6维 (SF-6D) 分类系统 (SF-6Dv2) 需要新的实用值集.
- 以前的SF-6D值集版本需要更新以反映修订后的分类系统.
- 准确的健康效用值对于医疗保健中的成本效益分析至关重要.
研究的目的:
- 为了估计SF-6Dv2分类系统的新实用值.
- 从加拿大北克的一个普通人口样本中得出这些值.
- 确保新的价值设置是一致的,并反映当前的人口偏好.
主要方法:
- 使用时间权衡 (DCETTO) 的离散选择实验.
- 使用了两个设计:二进制选择集 (设计1) 和最佳-最坏的选择集,包括"即时死亡"场景 (设计2).
- 逻辑模型,包括异质性的混合逻辑模型,用于估计值集.
主要成果:
- 1153名参与者完成了调查,其中一个组合模型 (设计1和2) 显示出最合适的.
- 最终的SF-6Dv2值组在 -0.683 到 1 之间,负值为 13.01%.
- 疼痛和活力维度最显著地影响了偏好,在严重的健康状况水平上观察到异质性.
结论:
- 一个新的SF-6Dv2实用值集成功地估计了加拿大北克人口.
- 推值集是从一个结合了两个DCE设计的固定一致模型中得出的.
- 这个值组适合在北克的健康经济评估中使用.
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