Evidence map›Paper›PMID 28606136›Full record

ArticleBMC public health2017

Cost analysis of a school-based comprehensive malaria program in primary schools in Sikasso region, Mali.

Roberta Maccario, Saba Rouhani, Tom Drake, Annie Nagy, Modibo Bamadio, Seybou Diarra, Souleymane Djanken, Natalie Roschnik, Siân E Clarke, Moussa Sacko and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
1.5field-weighted citation impact, top 16% of its field
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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Costs and Cost-Effectiveness of Malaria Control Interventions: A Systematic Literature Review.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2021
    Pooled it
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Observational
  10. Article
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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

12 authors at 5 institutions in 3 countries.

Roberta MaccarioDepartment of Social Policy, London School of Economics, London, UK. roberta.maccario@yahoo.com.ORCID 0000-0003-4297-7007
Saba RouhaniLondon School of Hygiene and Tropical Medicine, London, UK.
Tom DrakeLondon School of Hygiene and Tropical Medicine, London, UK.
Annie NagySave the Children, Bamako, Mali.
Modibo BamadioSave the Children, Bamako, Mali.
Seybou DiarraSave the Children, Bamako, Mali.
Souleymane DjankenSave the Children, Bamako, Mali.
Natalie RoschnikSave the Children, Bamako, Mali.
Siân E ClarkeLondon School of Hygiene and Tropical Medicine, London, UK.
Moussa SackoInstitut National de Recherche en Santé Publique, Bamako, Mali.
Simon BrookerLondon School of Hygiene and Tropical Medicine, London, UK.
Josselin ThuilliezCES-CNRS, Université Paris 1, Panthéon-Sorbonne, Centre d'économie de la Sorbonne, Maison des Sciences Economiques, 106-112 Boulevard de l'Hôpital, 75013, Paris, France.
Mali-Folkecenter · MLLondon School of Hygiene & Tropical Medicine · GBCentre National de la Recherche Scientifique · FRInstitut National de Recherche en Santé Publique · MLLondon School of Economics and Political Science · GB

Funding

Wellcome TrustWellcome Trust 084933
6 · The paper itself

Abstract

backgroundThe expansion of malaria prevention and control to school-aged children is receiving increasing attention, but there are still limited data on the costs of intervention. This paper analyses the costs of a comprehensive school-based intervention strategy, delivered by teachers, that included participatory malaria educational activities, distribution of long lasting insecticide-treated nets (LLIN), and Intermittent Parasite Clearance in schools (IPCs) in southern Mali.

methodsCosts were collected alongside a randomised controlled trial conducted in 80 primary schools in Sikasso Region in Mali in 2010-2012. Cost data were compiled between November 2011 and March 2012 for the 40 intervention schools (6413 children). A provider perspective was adopted. Using an ingredients approach, costs were classified by cost category and by activity. Total costs and cost per child were estimated for the actual intervention, as well as for a simpler version of the programme more suited for scale-up by the government. Univariate sensitivity analysis was performed.

resultsThe economic cost of the comprehensive intervention was estimated to $10.38 per child (financial cost $8.41) with malaria education, LLIN distribution and IPCs costing $2.13 (20.5%), $5.53 (53.3%) and $2.72 (26.2%) per child respectively. Human resources were found to be the key cost driver, and training costs were the greatest contributor to overall programme costs. Sensitivity analysis showed that an adapted intervention delivering one LLIN instead of two would lower the economic cost to $8.66 per child; and that excluding LLIN distribution in schools altogether, for example in settings where malaria control already includes universal distribution of LLINs at community-level, would reduce costs to $4.89 per child.

conclusionsA comprehensive school-based control strategy may be a feasible and affordable way to address the burden of malaria among schoolchildren in the Sahel.

Indexed as

ChildCosts and Cost AnalysisHealth EducationHumansInsecticide-Treated BednetsMalariaMaliSchool Health ServicesCost analysisIntermittent treatmentIPCsIPTLLINsMalariaMalaria controlMaliProgramme costsSchool healthSchools

Identifiers

PMID28606136
PMCPMC5469144
OpenAlexW2625815716

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.