相关实验视频
Updated: Jul 2, 2025

08:47
Oral Health Assessment by Lay Personnel for Older Adults
Published on: February 2, 2020
12.7K
在匈牙利,EQ-5D-5L,PROPr和SF-6D的种群标准
Anna Nikl1,2, Mathieu F Janssen3, Balázs Jenei1
1Department of Health Policy, Corvinus University of Budapest, 8 Fővám tér, 1093, Budapest, Hungary.
PharmacoEconomics
|February 28, 2024
概括
这项研究为EQ-5D-5L,PROPr和SF-6D健康措施建立了第一个匈牙利人口规范. 结果为匈牙利的健康监测和临床研究提供了关键的参考值.
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
- 公共卫生 公共卫生
背景情况:
- 患者报告的结果测量 (PROM) 对于评估健康状况和治疗有效性至关重要.
- 基于偏好的措施,如EQ-5D-5L,PROPr和SF-6D,越来越多地用于卫生技术评估和人口健康研究.
- 制定国家特定的人口规范对于准确解释这些指标至关重要.
研究的目的:
- 为匈牙利的三个基于偏好的健康措施制定和介绍第一个人口规范:EQ-5D-5L,PROMIS偏好评分系统 (PROPr) 和简短的六维形式 (SF-6D).
- 分析从这些措施中得出的健康公用事业与匈牙利成年人口的社会人口统计学和健康相关因素的关联.
主要方法:
- 一个代表性的1631名匈牙利成年人样本参加了2020年11月的在线横截面调查.
- 受访者填写了匈牙利版本的EQ-5D-5L,PROMIS-29+2 v2.1和SF-36v1.1,这些版本都是匈牙利版本.
- 采用多变量回归分析来检查医疗设施与各种受访者特征之间的关系.
主要成果:
- 报告的问题患病率在各个措施中各不相同,在大多数领域中,EQ-5D-5L显示最低,SF-6D显示最高.
- 平均公用事业费用为0.900 (EQ-5D-5L),0.535 (PROPr) 和0.755 (SF-6D) 的单位.
- 较低的公用事业与女性性别,教育水平较低,失业,肥胖,缺乏运动和多药性有关. 年龄影响身体健康问题向上,心理健康问题向下.
结论:
- 这项研究为EQ-5D-5L,PROPr和SF-6D提供了匈牙利首次人口规范.
- 这些规范是匈牙利临床试验,观察性研究和健康负担评估的重要参考值.
- 这些发现有助于更好地了解人口健康和基于偏好措施在匈牙利环境中的实用性.
相关概念视频
Self-Report Tests of Personality
348
Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
348
Quartile
4.2K
Quartiles are numbers that separate the data into quarters. Quartiles may or may not be part of the data. To find the quartiles, first, find the median or second quartile. The first quartile, Q1, is the middle value of the lower half of the data, and the third quartile, Q3, is the middle value, or median, of the upper half of the data. To get the idea, consider the same data set:
1; 1; 2; 2; 4; 6; 6.8; 7.2; 8; 8.3; 9; 10; 10; 11.5
The median or second quartile is seven. The lower half of the...
1; 1; 2; 2; 4; 6; 6.8; 7.2; 8; 8.3; 9; 10; 10; 11.5
The median or second quartile is seven. The lower half of the...
4.2K
Expected Frequencies in Goodness-of-Fit Tests
2.5K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).
2.5K
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
Distributions to Estimate Population Parameter
4.1K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.1K

