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Equity Weights for Socioeconomic Position: Two Methods-Survey of Stated Preferences and Epidemiological Data

机译:社会经济地位的股权重量:两种方法 - 调查所述偏好和流行病学数据

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Background: There is an implicit equity approach in cost-effectiveness analysis that values health gains of socioeconomic position groups equally. An alternative approach is to integrate equity by weighting quality-adjusted life-years according to the socioeconomic position group. Objectives: To use two approaches to derive equity weights for use in cost-effectiveness analysis in Australia, in contexts in which the use of the traditional nonweighted quality-adjusted life-years could increase health inequalities between already disadvantaged groups. Methods: Equity weights derived using epidemiological data used burden of disease and mortality data by Socio-Economic Indexes for Areas quintiles from the Australian Institute of Health and Welfare. Two ratios were calculated comparing quintile 1 (lowest) to the total Australian population, and comparing quintile 1 to quintile 5 (highest). Preference-based weights were derived using a discrete choice experiment survey (n = 710). Respondents chose between two programs, with varying gains in life expectancy going to a low-or a high-income group. A probit model incorporating nominal values of the difference in life expectancy was estimated to calculate the equity weights. Results: The epidemiological weights ranged from 1.2 to 1.5, with larger weights when quintile 5 was the denominator. The preference-based weights ranged from 1.3 (95% confidence interval 1.2-1.4) to 1.8 (95% confidence interval 1.6-2.0), with a tendency for increasing weights as the gains to the low-income group increased. Conclusions: Both methods derived plausible and consistent weights. Using weights of different magnitudes in sensitivity analysis would allow the appropriate weight to be considered by decision makers and stakeholders to reflect policy objectives.
机译:背景:成本效益分析中存在隐性股权方法,其价值同样的社会经济位置组的健康收益。另一种方法是根据社会经济位置组根据加权质量调整的寿命来整合股权。目的:使用两种方法来促进澳大利亚成本效益分析的股权重量,在使用传统非重量的质量调整后的寿命的背景下可以增加已经处于弱势群体之间的健康不平等。方法:使用澳大利亚健康与福利研究所的各个区域昆虫岛使用流行病学数据使用流行病学数据使用疾病和死亡数据负担来源的权重。计算两种比率与澳大利亚总人群进行比较,并将五分素1与五分之一(最高)进行比较。使用离散选择实验调查(n = 710)来得出基于偏好的权重。受访者在两个方案之间选择了两个计划,在预期的预期范围内发生不同的收益,这是一个低收入或高收入组。估计包含预期常温差异的标称值的概率模型估计计算股权重量。结果:流行病学重量范围为1.2至1.5,当五分素5是分母时,重量越大。基于偏好的重量范围为1.3(95%置信区间1.2-1.4)至1.8(95%置信区间1.6-2.0),随着低收入组的增益增加而增加权重的趋势。结论:两种方法都衍生了合理的合理和一致的权重。使用敏感性分析中不同幅度的重量将允许决策者和利益相关者考虑适当的重量,以反映政策目标。

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