将家庭报告结果测量 (FROM-16) 评分映射到 EQ-5D:计算效用值的算法
R Shah1, M S Salek2, A Y Finlay3
1Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK. ShahR45@cardiff.ac.uk.
概括
这项研究开发了一个模型,使用家庭报告结果测量 (FROM-16) 预测EQ-5D-3L实用值. 这允许在没有EQ-5D数据的情况下将家庭护理人员的影响纳入健康经济评估.
科学领域:
- 卫生经济学 卫生经济学
- 决策科学 决策科学 决策科学
- 心理测量 心理测量 心理测量
背景情况:
- 卫生经济评估越来越需要患者和非正式护理人员的实用性措施.
- 像EQ-5D这样的现有实用措施是以患者为中心的,缺乏家庭/护理人员视角的直接可比措施.
- 家庭报告结果指标 (FROM-16) 捕捉了家庭的影响,但不能直接与EQ-5D实用值进行比较.
研究的目的:
- 根据FROM-16分数开发EQ-5D-3L实用值的预测模型.
- 允许在没有EQ-5D数据的情况下将家庭/非正式照顾者的实用性纳入健康经济评估.
主要方法:
- 在一项在线横截面研究中利用了4228名家庭成员/伴侣的数据.
- 使用分半交叉验证与十个多项逻辑回归模型.
- 使用蒙特卡洛模拟生成预测,并将其与观察到的EQ-5D-3L效用值进行比较.
主要成果:
- 开发的模型显示出高预测准确性和稳定性.
- 预测和观察到的实用性估计之间的平均差异很小,从0.005到0.029.5不等.
- 观察到的平均整体差异为0.015 (2.2%高估),不被认为具有临床意义.
结论:
- 成功开发了一种算法,可以从FROM-16得分中得出EQ-5D实用性估计.
- 该工具有助于将家庭影响纳入健康经济评估.
- 允许在评估医疗干预中更广泛地纳入非正式护理人员的观点.
相关概念视频
z Scores and Area Under the Curve
10.5K
z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
10.5K
z Scores and Unusual Values
9.7K
The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
9.7K
Review and Preview
7.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
7.4K
5-Number Summary
4.4K
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...
4.4K
Percentile
6.7K
A percentile indicates the relative standing of a data value when data are sorted into numerical order from smallest to largest. It represents the percentages of data values that are less than or equal to the pth percentile. For example, 15% of data values are less than or equal to the 15th percentile.
6.7K
Ordinal Level of Measurement
23.7K
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. 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...
23.7K


