Evidence map›Paper›PMID 40630579›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Exploring Heterogeneity in Treatment Effects: The Impact and Interaction of Asset-Based Wealth and Mass Azithromycin Distribution on Child Mortality.

Elisabeth A Gebreegziabher, Ali Sié, Mamadou Ouattara, Mamadou Bountogo, Boubacar Coulibaly, Valentin Boudo, Thierry Ouedraogo, Elodie Lebas, Huiyu Hu, Pearl Anne Ante-Testard and 7 more

Registry-linked trialAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03676764 (Community Health Azithromycin Trial in Burkina Faso), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03676764 phase4completednot on this map

Community Health Azithromycin Trial in Burkina Faso

TypeinterventionalSponsorUniversity of California, San FranciscoRan2019 to 2023Enrolled77,664ConditionsChildhood MortalityArmsAzithromycin, Placebos
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Elisabeth A GebreegziabherFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0003-2454-5016
Ali SiéCentre de Recherche en Sante de Nouna, Nouna, Burkina Faso.ORCID 0000-0002-3959-2520
Mamadou OuattaraCentre de Recherche en Sante de Nouna, Nouna, Burkina Faso.ORCID 0000-0002-0011-6789
Mamadou BountogoCentre de Recherche en Sante de Nouna, Nouna, Burkina Faso.
Boubacar CoulibalyCentre de Recherche en Sante de Nouna, Nouna, Burkina Faso.
Valentin BoudoCentre de Recherche en Sante de Nouna, Nouna, Burkina Faso.
Thierry OuedraogoCentre de Recherche en Sante de Nouna, Nouna, Burkina Faso.
Elodie LebasFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.
Huiyu HuFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.ORCID 0009-0000-0182-6654
Pearl Anne Ante-TestardFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-3416-0817
Steven E GregorichDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Kieran S O'BrienFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-1962-5321
Michelle S HsiangDepartment of Epidemiology and Biostatistics, University of California, San Francisco.ORCID 0000-0003-1217-2742
David V GliddenDepartment of Epidemiology and Biostatistics, University of California, San Francisco.ORCID 0000-0001-5888-1419
Benjamin F ArnoldFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0001-6105-7295
Thomas M LietmanFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0001-8216-0240
Catherine E OldenburgFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-0763-399X

Funding

Heterogeneity of the effect of Azithromycin on morbidity and mortality among children in Burkina FasoF31HD114434 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GEBREEGZIABHER, ELISABETH A · 2024 to 2024
$43k
NICHD NIH HHS F31 HD114434
6 · The paper itself

Abstract

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.

Indexed as

Asset-Based WealthAzithromycinChild MortalityHealth InequalityHeterogeneity of Treatment Effects

Identifiers

PMID40630579
PMCPMC12236885

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.