为新西兰创建一个SF-6Dv2社会价值集
Trudy Sullivan1, Georgia McCarty2, Franz Ombler3
1Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand.
Social science & medicine (1982)
|July 3, 2024
概括
一个新的估值工具成功地为新西兰的SF-6Dv2卫生系统创建了一个社会价值集. 该工具可适应国际使用和个性化医疗应用.
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:
- SF-6D健康描述系统及其更新版本SF-6Dv2对于在经济评估和患者结果中评估与健康相关的生活质量 (HRQoL) 至关重要.
- 现有的估值工具经常面临复杂的健康描述系统的局限性,如SF-6Dv2.
研究的目的:
- 开发和应用一种新的估值工具,为新西兰的SF-6Dv2创建一个全面的社会价值集.
- 适应和扩展现有的评估复杂健康状况的方法.
- 通过严格的数据质量控制,确保获得的社会价值集的有效性和可靠性.
主要方法:
- 使用了适应和扩展的估值工具,实现了PAPRIKA方法 (一种自适应离散选择实验) 和二进制搜索算法.
- 对成年新西兰人的代表性样本进行了在线调查 (2022年6月至7月).
- 应用了广泛的数据质量控制来识别和排除低参与度的参与者,最终得到了2985个人的高质量样本.
主要成果:
- 成功生成了SF-6Dv2的社会价值集,包括新西兰的18750个健康状态值.
- 通过积极的参与者反和强大的数据质量,证明了估值工具的可行性和可接受性.
- 开发的工具被证明是有效的评估更大的健康描述系统,如SF-6Dv2.
结论:
- 开发的估值工具对于创建SF-6Dv2社会价值集是有效和可接受的.
- 该工具的适应性使其能够在其他国家和个性化医疗中应用.
- 这项工作促进了SF-6Dv2在全球卫生经济评估和结果测量中的更广泛使用.
关键词:
在二进制搜索中进行二进制搜索.离散选择实验 (DCE)与健康相关的生活质量 (HRQoL)新西兰新西兰新西兰新西兰帕普里卡的方法.在SF-6D中,它是SF-6D.在SF-6Dv2中.价值集是一个价值集.更多相关视频
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