Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; School of Epidemiology & Public Health, University of Ottawa, Ottawa, Ontario, Canada.
Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Int J Tuberc Lung Dis. 2017 Nov 1;21(11):69-74. doi: 10.5588/ijtld.16.0839.
Novel therapies for multidrug-resistant tuberculosis (MDR-TB) are likely to be expensive. The cost of novel drugs (e.g., bedaquiline, delamanid) may be so prohibitively high that a traditional cost-effectiveness analysis (CEA) would rate regimens containing these drugs as not cost-effective. Traditional CEA may not appropriately account for considerations of social justice, and may put the most disadvantaged populations at greater risk. Using the example of novel drug regimens for MDR-TB, we propose a novel methodology, 'justice-enhanced CEA', and demonstrate how such an approach can simultaneously assess social justice impacts alongside traditional cost-effectiveness ratios. Justice-enhanced CEA, as we envision it, is performed in three steps: 1) systematic data collection about patients' lived experiences, 2) use of empirical findings to inform social justice assessments, and 3) incorporation of data-informed social justice assessments into a decision analytic framework that includes traditional CEA. These components are organized around a core framework of social justice developed by Bailey et al. to compare impacts on disadvantage not otherwise captured by CEA. Formal social justice assessments can produce three composite levels: 'expected not to worsen…', 'may worsen…', and 'expected to worsen clustering of disadvantage'. Levels of social justice impact would be assessed for each major type of outcome under each policy scenario compared. Social justice assessments are then overlaid side-by-side with cost-effectiveness assessments corresponding to each branch pathway on the decision tree. In conclusion, we present a 'justice-enhanced' framework that enables the incorporation of social justice concerns into traditional CEA for the evaluation of new regimens for MDR-TB.
新型耐多药结核病(MDR-TB)治疗方法可能很昂贵。新型药物(如贝达喹啉、德拉马尼)的成本可能高得令人望而却步,以至于传统的成本效益分析(CEA)会认为包含这些药物的方案没有成本效益。传统的 CEA 可能无法适当考虑社会公正因素,并且可能使处境最不利的人群面临更大的风险。我们以 MDR-TB 的新型药物方案为例,提出了一种新的方法,即“增强公正的 CEA”,并展示了如何通过这种方法同时评估社会公正影响和传统的成本效益比。我们所设想的增强公正的 CEA 分三个步骤进行:1)系统收集关于患者生活经历的资料,2)利用实证研究结果进行社会公正评估,3)将数据驱动的社会公正评估纳入包括传统 CEA 的决策分析框架。这些组成部分围绕着 Bailey 等人提出的核心社会公正框架组织,以比较 CEA 无法捕捉到的不利影响。正式的社会公正评估可以产生三个综合水平:“预计不会恶化……”、“可能恶化……”和“预计会恶化不利因素的聚集”。在比较每个政策情景下的每种主要结果类型时,将评估社会公正影响的程度。然后,将社会公正评估与决策树中每个分支路径对应的成本效益评估并排叠加。总之,我们提出了一个“增强公正”的框架,使社会公正问题能够纳入传统的 CEA 中,以评估新的 MDR-TB 治疗方案。