Evidence map›Paper›PMID 39513752›Full record

ArticleHealth policy and planning2025

Cost-effectiveness of a simplified acute malnutrition program: a secondary analysis of the OptiMA randomized clinical trial in the Democratic Republic of the Congo.

Stephen C Resch, Ryoko Sato, Kevin Phelan, Cécile Cazes, Abdramane Ombotimbe, Victoire Hubert, Harouna Boubacar, Liévin Izie Bozama, Gilbert Tshibangu Sakubu, Béatrice Kalenga Tshiala and 9 more

Abstract read
In one paragraph

Article in Health policy and planning, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Stephen C ReschCenter for Health Decision Science, Harvard University TH Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA.
Ryoko SatoCenter for Health Decision Science, Harvard University TH Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA.
Kevin PhelanThe Alliance for International Medical Action (ALIMA), 1 Rue Philidor, Paris 75020, France.
Cécile CazesBordeaux Population Health Research Centre, University of Bordeaux, National Institute for Health and Medical Research (INSERM) UMR 1219, Research Institute for Sustainable Development (IRD) EMR 271, 146 Rue Léo Saignat 11, Bordeaux 33076, France.
Abdramane OmbotimbeALIMA, Kamuesha, Democratic Republic of the Congo.
Victoire HubertALIMA, Kamuesha, Democratic Republic of the Congo.
Harouna BoubacarALIMA, Kamuesha, Democratic Republic of the Congo.
Liévin Izie BozamaNational Nutrition Programme, Ministry of Health, Kinshasa, Democratic Republic of the Congo.
Gilbert Tshibangu SakubuKamuesha Health Zone in the Kasaï Province, Ministry of Health, Kamuesha, Democratic Republic of the Congo.
Béatrice Kalenga TshialaNational Nutrition Programme, Ministry of Health, Kinshasa, Democratic Republic of the Congo.
Toussaint TusukuNational Nutrition Programme, Ministry of Health, Kinshasa, Democratic Republic of the Congo.
Rodrigue AlitanouALIMA, Kamuesha, Democratic Republic of the Congo.
Antoine KouaméPACCI ANRS Research Programme, University Hospital of Treichville, Abidjan, Côte d'Ivoire.
Cyrille YaoPACCI ANRS Research Programme, University Hospital of Treichville, Abidjan, Côte d'Ivoire.
Delphine GabillardBordeaux Population Health Research Centre, University of Bordeaux, National Institute for Health and Medical Research (INSERM) UMR 1219, Research Institute for Sustainable Development (IRD) EMR 271, 146 Rue Léo Saignat 11, Bordeaux 33076, France.ORCID 0000-0002-9122-2674
Moumouni KindaALIMA, Rte des Almadies, Dakar, Senegal.
Renaud BecquetBordeaux Population Health Research Centre, University of Bordeaux, National Institute for Health and Medical Research (INSERM) UMR 1219, Research Institute for Sustainable Development (IRD) EMR 271, 146 Rue Léo Saignat 11, Bordeaux 33076, France.
Susan ShepherdALIMA, Rte des Almadies, Dakar, Senegal.
Robert M HechtYale University School of Public Health, 60 College St, New Haven, CT 06510, USA.

Funding

Amade-MonacoEuropean Commission through the European Civil Protection and Humanitarian Aid Operations ECHO/COD/BUD/2018/91023Innocent Foundation ALIMA-2018-DRCUSAID Bureau of Humanitarian Affairs
6 · The paper itself

Abstract

Acute malnutrition (AM) causes large loss of life and disability in children in Africa. Researchers are testing innovative approaches to increase the efficiency of treatment programs This paper presents results of a cost-effectiveness analysis of one such program in the Democratic Republic of the Congo (DRC) based on a secondary analysis of a randomized controlled trial Optimizing Treatment for Acute Malnutrition (OptiMA), conducted in DRC in 2018-20. A total of 896 children aged 6-59 months with a mid-upper arm circumference (MUAC) <125 mm or with oedema were treated and followed for 6 months. The cost-effectiveness of OptiMA using ready-to-use therapeutic food (RUTF) at a tapered dose was compared with the standard national program in which severe cases (SAM) received RUTF proportional to weight, and moderate cases (MAM) were referred to another clinic for a fixed dose regimen of ready-to-use supplementary food. Cost analysis from the provider perspective used data collected during the trial and from administrative records. Statistical differences were derived using t-tests. The mean cost per enrolled child under OptiMA was $123 [95% confidence interval (CI): 114-132], not statistically different from the standard group [$127 (95%CI: 118-136), P = 0.549], while treatment success (i.e. recovery to MUAC > 125 mm and no relapse for 6 months) under OptiMA was 9% higher (72 vs 63%, P = 0.004). Among children with SAM at enrollment, there was no significant difference in treatment success between OptiMA and standard care (70 vs 62%, P = 0.12), but OptiMA's mean cost per enrolled child was 23% lower ($128 vs $166, P < 0.0001). OptiMA was more effective at preventing progression to SAM among those enrolled with MAM (5 vs 16%, P < 0.0001), with an incremental cost-effectiveness ratio of $234 per progression to SAM prevented. Overall, OptiMA had significantly better outcomes and was no more expensive than standard care. Its adoption could enable more children to be successfully treated in contexts where therapeutic food products are scarce.

Indexed as

Cost-Benefit AnalysisMalnutritionChild, PreschoolDemocratic Republic of the CongoFemaleHumansInfantMaleRandomized Controlled Trials as TopicSevere Acute Malnutritionacute malnutritioncost-effectivenessDemocratic Republic of the Congorandomized clinical trial

Identifiers

PMID39513752
PMCPMC11886841

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