医疗状况评估的一种新方法:与传统的标准博相比,多边界二分法选择
Thomas G Poder1, Hosein Ameri1
1School of Public Health, University of Montreal, Montreal, QC, Canada; Centre de Recherche de l'IUSMM, CIUSSS de l'Est de l'Île de Montréal, Montreal, QC, Canada.
Social science & medicine (1982)
|August 8, 2024
概括
多边界二分式选择 (MBDC) 方法是产生与健康相关的生活质量价值集的可行方法. 这种声明偏好方法被证明是高效和可靠的,为基于偏好的测量提供了有价值的工具.
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
- 医疗保健服务研究 医疗服务研究
背景情况:
- 基于偏好的措施对于与健康有关的生活质量 (HRQoL) 评估至关重要.
- 现有的生成价值集的方法可能是耗时和复杂的.
- 开发了一种新的陈述偏好方法,即多边界二分法选择 (MBDC).
研究的目的:
- 评估多边界二分制选择 (MBDC) 方法的可行性.
- 使用MBDC生成基于偏好的HRQoL测量的值集.
- 将MBDC与标准博 (SG) 方法进行比较.
主要方法:
- 参与者被随机分配到MBDC或SG任务中,以获得SF-6Dv2值集.
- 评估的健康状况是使用11个MBDC状态和6个SG状态进行评估.
- 数据被建模,并根据准确性,一致性和意义选择首选模型.
主要成果:
- 与SG相比,MBDC的参与者排除率较低,报告的困难也较少.
- 完成时间对于MBDC (68.12秒) 与SG (99.80秒) 相比显著降低.
- MBDC产生了更广泛的实用值范围,并且具有较低的标准错误和非显著参数.
结论:
- 多边界二分制选择 (MBDC) 方法是可行的生成偏好数据.
- 对于基于偏好的工具,MBDC显示出创造有意义和充分知情的价值集的潜力.
- 这种方法为基于偏好的HRQoL测量提供了一个有希望的替代方案.
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