ArticleClinical epidemiology and global health2015
Community mass treatment with azithromycin for trachoma: Factors associated with change in participation of children from the first to the second round.
Article in Clinical epidemiology and global health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- National progress towards the elimination of trachomatous inflammation-follicular: analysis of 11 regions in Ethiopia.International health · 2026Article
- Population coverage and factors associated with participation following a mass drug administration of azithromycin for trachoma elimination in Amhara, Ethiopia.Tropical medicine & international health : TM & IH · 2019Article
- Ocular Chlamydia trachomatis infection: elimination with mass drug administration.Expert review of anti-infective therapy · 2019Review
- Non-participation during azithromycin mass treatment for trachoma in The Gambia: heterogeneity and risk factors.PLoS neglected tropical diseases · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundMass drug administration (MDA) with azithromycin is an important part of trachoma control programs. Maintaining high participation among children is challenging.
aimWe assessed factors identifying households with a child who changed participation from the first MDA to the second MDA compared to households where all children participated at both MDAs.
methodsTwo case-control comparisons were conducted in 11 Tanzanian communities, which underwent MDA in 2008 and 2009. The first case group (n=165) was a random sample of households with a child who changed from a 2008 non-participant to a 2009 participant (delayed participant). The second case group (n=165) was a random sample of households with a child who went from a 2008 participant to a 2009 non-participant (change to non-participant). Controls (n=330) were a random sample of households where all children participated in both rounds. Risk factors were assessed using questionnaires asked of children's guardians. Logistic models with a random-intercept were used to estimate odds ratios and 95% confidence intervals.
resultsHouseholds with delayed participation were more likely to be in communities with fewer treatment days (OR=2.98, 95% CI=1.80-4.92) and assigned to Community Treatment Assistants (CTA) with a wide area to cover (OR=1.88, 95% CI=1.09-3.23). Households with change to non-participation were more likely to live further from the distribution site (OR=3.17, 95% CI=1.19-8.46), have the guardian born outside the village with short-term residency (OR=2.64, 95% CI=1.32-5.31), and be assigned to a male CTA (OR=1.75, 95% CI=1.08-2.83).
conclusionsFactors related to program accessibility were associated with delayed participation and maintaining participation.
Indexed as
Identifiers
What OpenQuestion holds
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.