开发一种澳大利亚价值集,用于恢复生活质量-效用指数仪器,使用持续时间的离散选择实验
Thao Thai1, Lidia Engel1, Jemimah Ride1
1Monash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
概括
这项研究确定了澳大利亚恢复生活质量效用指数 (ReQoL-UI) 健康状况的社会偏好. 由此产生的值集有助于计算心理健康干预措施的质量调整寿命.
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
- 社会的偏好 社会偏好.
背景情况:
- 恢复生活质量效用指数 (ReQoL-UI) 衡量16岁以上患有心理健康状况的人的生活质量.
- 对健康状况的社会偏好对于医疗保健决策中的成本效益分析至关重要.
研究的目的:
- 为了引起澳大利亚社会对ReQoL-UI健康状况的偏好.
- 为ReQoL-UI开发一个价值集,以支持澳大利亚的决策.
- 为了促进心理健康干预的质量调整寿命年 (QALYs) 的计算.
主要方法:
- 通过在线调查,对1019名澳大利亚成年人进行了持续时间的离散选择实验.
- 一个带有3个固定属性和5个可变属性的部分因数设计,包含240个选择任务,分为20个块.
- 用条件逻辑模型建模价值集,通过混合逻辑模型探索偏好异质性.
主要成果:
- 最终的ReQoL-UI值集在1 (最佳健康) 到-0.585 (最差健康) 之间.
- 身体健康问题是最重要的属性,而自我认知是最不重要的.
- 敏感性和偏好异质性分析证实了价值组的稳定性.
结论:
- 导出的值集准确地反映了澳大利亚人口对ReQoL-UI健康状况的偏好.
- 这一值集使得在心理健康干预的成本效益分析中能够计算QALY.
- 这些发现支持澳大利亚心理健康服务的基于证据的决策.
相关概念视频
Decision Making: P-value Method
5.3K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.3K
Survival Curves
98
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
98
Assumptions of Survival Analysis
92
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
92
Applications of Life Tables
49
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
49
Introduction To Survival Analysis
176
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
176
Social Exchange Theory
34.3K
We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
34.3K


