Practical measurement of affordability: an application to medicines
Practical measurement of affordability: an application to medicines
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DOI：
10.2471/blt.10.084087
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发表时间：
2012-03-01
期刊：
影响因子：
--
通讯作者：
Brouwer, WBF
中科院分区：
文献类型：
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作者：
Niëns, LM;Poel, E Van de;Brouwer, WBF
目的开发两种实用的方法来衡量在发展中国家的药品的可负担性在developingcountries.Methods所提出的方法灾难性的方法依赖于容易获得的汇总支出数据，并考虑到一个国家的收入分配和绝对水平的收入。灾难性方法量化的是，由于某种药物的支出，其资源将灾难性地减少的人口的比例;贫困化方法估计的是，由于购买某种药物，将被推到贫困线以下的人口的比例。这些方法说明了计算格列本脲，抗糖尿病药物，在印度和印度尼西亚的负担能力。结果进行了验证，通过比较他们与家庭微观数据为industrialandindones.Findings获得的结果当准确的汇总数据，所提出的方法提供了一个实用的方法来获得翔实和准确的估计负担能力。他们的结果是非常相似的家庭微观数据分析所获得的，很容易比较countries.Conclusion灾难性的和灾难性的方法，基于宏观数据，可以提供一个合适的估计时，家庭层面的微观数据，需要进行更复杂的研究是不可用的药物负担能力。其有用性取决于是否有准确的汇总数据。
Objective To develop two practical methods for measuring the affordability of medicines in developing countries.Methods The proposed methods catastrophic and impoverishment methods rely on easily accessible aggregated expenditure data and take into account a country's income distribution and absolute level of income. The catastrophic method quantifies the proportion of the population whose resources would be catastrophically reduced by spending on a given medicine; the impoverishment method estimates the proportion of the population that would be pushed below the poverty line by procuring a given medicine. These methods are illustrated by calculating the affordability of glibenclamide, an antidiabetic drug, in India and Indonesia. The results were validated by comparing them with the results obtained by using household micro data for India and Indonesia.Findings When accurate aggregate data are available, the proposed methods offer a practical way to obtain informative and accurate estimates of affordability. Their results are very similar to those obtained with household micro data analysis and are easily compared across countries.Conclusion The catastrophic and impoverishment methods, based on macro data, can provide a suitable estimate of medicine affordability when the household level micro data needed to carry out more sophisticated studies are not available. Their usefulness depends on the availability of accurate aggregated data.