Evidence map›Paper›PMID 30675851›Full record

ArticleThe American journal of tropical medicine and hygiene2019

Modeling the Economic Impact of Substandard and Falsified Antimalarials in the Democratic Republic of the Congo.

Sachiko Ozawa, Deson G Haynie, Sophia Bessias, Sarah K Laing, Emery Ladi Ngamasana, Tatenda T Yemeke, Daniel R Evans

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  13. Tackling the blind spot of poor-quality medicines in Universal Health Coverage.Journal of pharmaceutical policy and practice · 2020
    Review
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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

7 authors at 4 institutions in 1 country.

Sachiko OzawaDivision of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Deson G HaynieDepartment of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia.
Sophia BessiasEnterprise Analytics and Data Sciences, University of North Carolina Health Care, Chapel Hill, North Carolina.
Sarah K LaingDivision of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Emery Ladi NgamasanaCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Tatenda T YemekeDivision of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Daniel R EvansDuke University School of Medicine, Durham, North Carolina.
University of North Carolina at Chapel Hill · USDuke University · USUniversity of North Carolina Health Care · USUniversity of Virginia · US

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
NICHD NIH HHS P2C HD050924
6 · The paper itself

Abstract

Substandard and falsified medicines pose significant risks to global health, including increased deaths, prolonged treatments, and growing drug resistance. Antimalarials are one of the most common medications to be of poor quality in low- and middle-income countries. We assessed the health and economic impact of substandard and falsified antimalarials for children less than 5 years of age in the Democratic Republic of the Congo, which has one of the world's highest malaria mortality rates. We developed an agent-based model to simulate patient care-seeking behavior and medicine supply chain processes to examine the impact of antimalarial quality in Kinshasa province and Katanga region. We simulated the impact of potential interventions to improve medicinal quality, reduce stockouts, or educate caregivers. We estimated that substandard and falsified antimalarials are responsible for $20.9 million (35% of $59.6 million; 95% CI: $20.7-$21.2 million) in malaria costs in Kinshasa province and $130 million (43% of $301 million; $129-$131 million) in malaria costs in the Katanga region annually. If drug resistance to artemisinin were to develop, total annual costs of malaria could increase by $17.9 million (30%; $17.7-$18.0 million) and $73 million (24%; $72.2-$72.8 million) in Kinshasa and Katanga, respectively. Replacing substandard and falsified antimalarials with good quality medicines had a larger impact than interventions that prevented stockouts or educated caregivers. The results highlight the importance of improving access to good quality antimalarials to reduce the burden of malaria and mitigate the development of antimalarial resistance.

Indexed as

Cost of IllnessModels, EconomicAntimalarialsChild, PreschoolCounterfeit DrugsDemocratic Republic of the CongoHealth Care CostsHumansInfantMalariaPatient Acceptance of Health CareAntimalarialsCounterfeit Drugs

Identifiers

PMID30675851
PMCPMC6493946
OpenAlexW2914393772

What OpenQuestion holds

Textmetadata
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.