Evidence map›Paper›PMID 37479498›Full record

ArticleBMJ global health2023

Cost-effectiveness of community-based distribution of intermittent preventive treatment of malaria in pregnancy in Madagascar, Mozambique, Nigeria, and the Democratic Republic of Congo.

Laia Cirera, Charfudin Sacoor, Martin Meremikwu, Louise Ranaivo, Manu F Manun'Ebo, Clara Pons-Duran, Dachi Arikpo, Maximo Ramirez, Francesco Ramponi, Antia Figueroa-Romero and 6 more

Abstract read
In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

16 authors.

Laia Cirera *Maternal, Child and Reproductive Health Initiative, Barcelona Institute for Global Health, Barcelona, Spain laiacirerac@gmail.com.ORCID 0000-0002-1133-487X
Charfudin Sacoor *Manhiça Health Research Center, Manhiça, Mozambique.
Martin Meremikwu *Cross River Health and Demographic Surveillance System, University of Calabar, Calabar, Nigeria.
Louise Ranaivo *Malagasy Associates for Numerical Information and Statistical Analysis (MANISA), Antananarivo, Madagascar.
Manu F Manun'Ebo *Bureau d'Étude et de Gestion de l'Information Statistique (BEGIS), Kinshasa, Congo (the Democratic Republic of the).
Clara Pons-DuranMaternal, Child and Reproductive Health Initiative, Barcelona Institute for Global Health, Barcelona, Spain.
Dachi ArikpoCross River Health and Demographic Surveillance System, University of Calabar, Calabar, Nigeria.ORCID 0000-0002-9035-9193
Maximo RamirezMaternal, Child and Reproductive Health Initiative, Barcelona Institute for Global Health, Barcelona, Spain.
Francesco RamponiMaternal, Child and Reproductive Health Initiative, Barcelona Institute for Global Health, Barcelona, Spain.
Antia Figueroa-RomeroMaternal, Child and Reproductive Health Initiative, Barcelona Institute for Global Health, Barcelona, Spain.
Raquel GonzalezMaternal, Child and Reproductive Health Initiative, Barcelona Institute for Global Health, Barcelona, Spain.ORCID 0000-0001-5487-801X
Christina MalyJhpiego, Johns Hopkins University Affiliate, Baltimore, Maryland, USA.
Elaine RomanJhpiego, Johns Hopkins University Affiliate, Baltimore, Maryland, USA.
Elisa SicuriMaternal, Child and Reproductive Health Initiative, Barcelona Institute for Global Health, Barcelona, Spain.ORCID 0000-0002-2499-2732
Franco PagnoniMaternal, Child and Reproductive Health Initiative, Barcelona Institute for Global Health, Barcelona, Spain.
Clara MenéndezManhiça Health Research Center, Manhiça, Mozambique.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMalaria in pregnancy is a major driver of maternal and infant mortality in sub-Saharan Africa. The WHO recommends the administration of intermittent preventive treatment with sulfadoxine pyrimethamine (IPTp-SP) at antenatal care (ANC) visits. Despite being a highly cost-effective strategy, IPTp-SP coverage and uptake remains low. A pilot project was conducted to assess the cost-effectiveness (CE) of community-based delivery of IPTp (C-IPTp) in addition to ANC delivery to increase IPTp uptake in the Democratic Republic of Congo (DRC), Madagascar (MDG), Mozambique (MOZ) and Nigeria (NGA).

methodsCosts and CE estimates of C-IPTp were calculated according to two scenarios: (1) costs in 'programmatic mode' (ie, costs if C-IPTp was to be implemented by national health systems) and (2) costs from the pilot project. The effectiveness of C-IPTp was obtained through estimates of the averted disability-adjusted life-years (DALYs) associated with maternal clinical malaria and anaemia, low birth weight and neonatal mortality.

resultsNet incremental costs of C-IPTp ranged between US$6138-US$47 177 (DRC), US$5552-US$31 552 (MDG), US$10 202-US$53 221 (MOZ) and US$667-US$28 645 (NGA) per 1000 pregnant women, under scenarios (1) and (2), respectively. Incremental cost-effectiveness ratios (ICERs) ranged between US$15-US$119 in DRC, US$9-US$53 in MDG, US$104-US$543 in MOZ and US$2-US$66 in NGA per DALY averted, under scenarios (1) and (2), respectively. ICERs fall below the WHO recommended CE threshold based on the gross domestic product per capita.

conclusionFindings suggest that C-IPTp is a highly cost-effective intervention. Results can inform policy decisions on adopting and optimising effective interventions for preventing malaria in pregnancy.

Indexed as

MalariaCost-Benefit AnalysisDelivery of Health CareDemocratic Republic of the CongoFemaleHumansInfantInfant, NewbornMadagascarMozambiqueNigeriaPilot ProjectsPregnancyhealth economicsmalaria

Identifiers

PMID37479498
PMCPMC10364184

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Registered trials

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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.