ArticleGlobal health, science and practice2024
Integration of Acute Malnutrition Treatment Into Integrated Community Case Management in Three Districts in Southern Mali: An Economic Evaluation.
Article in Global health, science and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Trial
- Article
- The Economic Implications of Relapse Among Children Recovered from Severe Acute Malnutrition: Results from a Multicountry Prospective Study in Mali, Somalia, and South Sudan.Current developments in nutrition · 2026Article
- Costs and cost-effectiveness of community health worker programs on reproductive, maternal, newborn and child health in low- and middle-income countries (2015-2024): A scoping review.PLOS global public health · 2026Article
- Reducing relapses after acute malnutrition treatment: evidence from a simplified approach in emergency settings of Mali.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEnabling community health workers (CHWs) to treat acute malnutrition improves treatment access and coverage. However, data on the cost and cost-effectiveness of this approach is limited. We aimed to cost the treatment at scale and determine the cost-effectiveness of different levels of supervision and technical support.
methodsThis economic evaluation was part of a prospective nonrandomized community intervention study in 3 districts in Mali examining the impact of different levels of CHW and health center supervision and support on treatment outcomes for children with severe acute malnutrition. Treatment admission and outcome data were extracted from the records of 120 participating health centers and 169 CHW sites. Cost data were collected from accountancy records and through key informant interviews. Results were presented as cost per child treated and cured. Modeled scenario sensitivity analyses were conducted to determine how cost-efficiency and cost-effectiveness estimates change in an equal scale scenario and/or if the supervision had been done by government staff.
resultsIn the observed scenario, with an unequal number of children, the average cost per child treated was US$203.40 in Bafoulabé where a basic level of supervision and support was provided, US$279.90 in Kayes with a medium level of supervision, and US$253.9 in Kita with the highest level of supervision. Costs per child cured were US$303.90 in Bafoulabé, US$324.90 in Kayes, and US$311.80 in Kita, with overlapping uncertainty ranges.
conclusionAdditional supervision has the potential to be a cost-effective strategy if supervision costs are reduced without compromising the quality of supervision. Further research should aim to better adapt the supervision model and associated tools to the context and investigate where efficiencies can be made in its delivery.
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.