探讨治疗效果的异质性:基于资产的财富和大量阿奇霉素分布对儿童死亡率的影响和相互作用。

Elisabeth A Gebreegziabher, Ali Sié, Mamadou Ouattara, Mamadou Bountogo, Boubacar Coulibaly, Valentin Boudo, Thierry Ouedraogo, Elodie Lebas, Huiyu Hu, Pearl Anne Ante-Testard, Steven E Gregorich, Kieran S O'Brien, Michelle S Hsiang, David V Glidden, Benjamin F Arnold, Thomas M Lietman, Catherine E Oldenburg
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引用次数: 0

摘要

目的:研究布基纳法索农村1至59个月儿童死亡率如何因资产财富状况而变化,并评估大规模阿奇霉素分配和财富状况在家庭和社区层面对儿童死亡率的相互作用。方法:我们使用来自整群随机试验和人口普查的家庭特征和资产数据。使用主成分分析生成了每个家庭的财富指数得分,用于按财富对人口进行分类。我们使用相对不平等指数(RII)、不平等斜率指数(SII)和集中指数来评估与财富相关的死亡率不平等,并使用基尼指数来评估家庭和社区之间儿童死亡率的可变性。使用泊松回归模型,包括人时间风险作为抵消和稳健标准误差,以估计财富和治疗组死亡率的变化。我们在乘法和加性尺度上评估了相互作用。结果:死亡率随家庭和社区水平财富的增加而下降,在社区水平上有显著的梯度(RII = 1.17, 95% CI: 1.05-1.29;SII = 2.3 / 1000人年,95% CI: 0.2-4.4),反映出最贫困人口的死亡率更高。阿斯利康的效果没有因财富指数而有显著差异,两个治疗组之间不同财富水平的死亡率变化相似。在家庭或集群水平上,AZ和基于资产的财富之间在乘法或加法尺度上没有统计学上显著的相互作用。结论:我们的研究结果显示,儿童死亡率存在财富梯度,最贫穷的五分之一家庭和社区的死亡率最高。这些差异在阿斯利康治疗组和安慰剂组中都是一致的,这表明阿斯利康在健康差异中的作用可能主要是解决治疗可及性方面的差距,而不是更广泛的与财富相关的差异。阿斯利康似乎在经济不同的社区提供了类似的好处,没有证据表明弱势社区的好处会增加,也没有证据表明根据财富状况优先考虑治疗。需要进一步的工作来解决这些社区中与财富有关的儿童死亡率差异。试验注册:ClinicalTrials.gov标识符:NCT03676764。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring Heterogeneity in Treatment Effects: The Impact and Interaction of Asset-Based Wealth and Mass Azithromycin Distribution on Child Mortality.

Objective: To examine how child mortality among children aged 1-59 months varies by asset-based wealth status in rural Burkina Faso and to assess the interaction between mass azithromycin distribution and wealth status on child mortality at both the household and community levels.

Methods: We used data from a cluster-randomized trial and a population census data on household characteristics and assets. A wealth index score for each household, used to classify the population by wealth was generated using principal component analysis. We used the Relative Index of Inequality (RII), the Slope Index of Inequality (SII), and the concentration index to assess wealth-related inequalities in mortality, and the Gini Index to assess variability in child mortality across households and communities. Poisson regression models were used with person-time at risk included as an offset and robust standard error to estimate changes in mortality rates by wealth and treatment arm. We assessed interaction on both the multiplicative and additive scales.

Results: Mortality declined with increasing wealth at both household and community levels, with a significant gradient at the community level (RII = 1.17, 95% CI: 1.05-1.29; SII = 2.3 per 1,000 person-years, 95% CI: 0.2-4.4), reflecting higher mortality among the poorest. The effect of AZ did not vary significantly by wealth index, and the change in mortality rates across wealth levels was similar between the two treatment arms. There was no statistically significant interaction between AZ and asset-based wealth on either a multiplicative or additive scale at the household or cluster level.

Conclusion: Our findings show a wealth gradient in child mortality, with households and communities in the poorest quintiles experiencing the highest mortality rates. These disparities were consistent across both AZ-treated and placebo groups, suggesting that AZ's role in health disparities may primarily address gaps in treatment access rather than broader wealth-related disparities. AZ appears to offer similar benefits across economically diverse communities, with no evidence suggesting enhanced benefits for disadvantaged communities or for prioritizing treatment based on wealth status. Further work is needed to address the wealth-related disparities in child mortality in these communities.

Trial registration: ClinicalTrials.gov Identifier: NCT03676764.

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