对于EQ-5D-Y-3L的澳大利亚价值设置
Tianxin Pan1,2, Bram Roudijk3, Nancy Devlin1
1Chid Health Economics Unit, Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
Health and quality of life outcomes
|July 14, 2025
概括
这项研究为EQ-5D-Y-3L (Y-3L) 仪器开发了一套澳大利亚的价值,这对于评估儿科健康干预至关重要. 这种新工具通过计算质量调整寿命年 (QALYs) 来帮助经济评估.
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
- 儿科健康评估儿童健康评估
背景情况:
- 澳大利亚建立的健康技术评估 (HTA) 过程依赖于通用的健康相关生活质量 (HRQoL) 仪器.
- 澳大利亚评估儿科健康的现有工具和证据存在明显的差距.
- 本文讨论了对EQ-5D-Y-3L (Y-3L) 仪器的特定澳大利亚值设置的需求.
研究的目的:
- 为EQ-5D-Y-3L (Y-3L) 仪器生成一个澳大利亚值集.
- 支持澳大利亚儿科卫生干预措施的经济评估.
- 加强儿童医疗保健的基于证据的决策.
主要方法:
- 使用了国际Y-3L估值协议,并扩展了设计.
- 从两个独立的澳大利亚成年人样本收集的复合时间交易 (cTTO) 和离散选择实验 (DCE) 数据.
- 使用垃圾类混合逻辑模型建模DCE数据,并探索了质量调整寿命年 (QALYs) 规模的两个定方法.
主要成果:
- 共有268人参加了cTTO采访,1002人参加了DCE.
- 最终选择的值集使用了线性映射,没有截图,健康状态值从0.142到1.
- 影响健康状态值的最重要领域是疼痛/不适,其次是情绪状态,通常活动,自我护理和流动性.
结论:
- 介绍了EQ-5D-Y-3L (Y-3L) 的第一个澳大利亚价值设置.
- 这一值集有助于计算质量调整寿命年 (QALYs),用于对儿科干预措施的经济评估.
- 支持改善澳大利亚儿科医疗保健的证据开发和决策.
相关概念视频
00:55Interval Level of Measurement
16.2K
For effective statistical analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between...
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between...
16.2K
00:55Ordinal Level of Measurement
25.8K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
25.8K
00:56Nominal Level of Measurement
30.7K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
30.7K
03:02Measurement: Derived Units
49.7K
The International System of Units or SI system, by international agreement, has fixed measurement units for seven fundamental properties: length, mass, time, temperature, electric current, amount of substance, and luminosity. These are called the SI base units.
49.7K
00:54Ratio Level of Measurement
19.2K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
19.2K
01:045-Number Summary
4.7K
In a dataset, the 5-number summary includes the minimum data value, the data value of the first quartile, the median data value or data value of the second quartile, the data value of the third quartile, and the maximum data value. These 5 data values can be visualized as a box and whisker plot.
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
4.7K