ArticleTropical medicine and health2025
Determinants of access to health facilities among under-five children with caregiver-reported fever in the context of seasonal malaria chemoprevention in Togo, 2020-2022.
Article in Tropical medicine and health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMalaria is responsible for 580,000 deaths among children under 5, or 95% of all malaria deaths per year globally. Seasonal Malaria Chemoprevention (SMC) is a malaria control intervention in Togo and other African countries targeting children under 5 years old during the peak malaria transmission season. Delaying access to healthcare for children with malaria can result in serious health problems, including heightened morbidity and mortality, complications related to cerebral malaria and anemia, as well as impaired cognitive development. This study aimed to identify determinants of access to health facilities for children with caregiver-reported fever, in the context of SMC campaigns in Togo. METHODOLOGY: We analyzed data from three representative annual end-of-round SMC surveys on SMC-eligible children aged 3-59 months residing in the provinces of Savanes, Central and Kara in Togo, conducted during 2020-2022. We performed a descriptive analysis and fitted logistic regression models to assess predictors of health facility access. Our sample included all children with a caregiver-reported fever in the month before the survey. Model variables included household distance to their local health facility, quintiles of household wealth, household visit by SMC distributors in the previous month, household nomad status, literacy of primary caregivers, and the age and sex of both eligible children and their primary caregivers.
resultsOur analytic sample included 6,252 SMC-eligible children, including 1,418 experiencing fevers. Most children with fever (62.6%, 95% CI 60.0-65.0%) accessed health facilities. Adjusted odds ratios and 95% confidence intervals obtained from the logistic regression analysis found a statistically significant linear relationship between children's adjusted odds of access to health facilities and their distance from the nearest facility, with 2% lower odds of access for each additional kilometer of distance (AOR = 0.98, 95% CI 0.97-0.99). Households with SMC distributor visits were significantly more likely to access health facilities (AOR = 2.20, 95% CI 1.22-3.96). Children of female primary caregivers had higher odds of access (AOR = 1.42, 95% CI 1.05-1.93).
conclusionFebrile children's access to malaria testing and treatment in Northern Togo requires further improvement, particularly among those further from health facilities and with lower household wealth.
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.