Evidence map›Paper›PMID 30646106›Full record

SynthesisJAMA network open2018

Prevalence and Estimated Economic Burden of Substandard and Falsified Medicines in Low- and Middle-Income Countries: A Systematic Review and Meta-analysis.

Sachiko Ozawa, Daniel R Evans, Sophia Bessias, Deson G Haynie, Tatenda T Yemeke, Sarah K Laing, James E Herrington

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JAMA network open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
182citing papers in PubMed, 9 pooled it
25.0field-weighted citation impact, top 1% 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

182 citing papers in PubMed, 9 syntheses or guidelines pooled it, 327 citations in OpenAlex.

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  11. Review
  12. Substandard and falsified systemic anti-infectives in Peru.Revista peruana de medicina experimental y salud publica · 2026
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122 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Sachiko OzawaDepartment of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina, Chapel Hill.
Daniel R EvansDivision of Practice Advancement and Clinical Education, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill.
Sophia BessiasEnterprise Analytics and Data Sciences, University of North Carolina Health Care, Chapel Hill.
Deson G HaynieUniversity of Virginia School of Medicine, Charlottesville.
Tatenda T YemekeDivision of Practice Advancement and Clinical Education, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill.
Sarah K LaingDivision of Practice Advancement and Clinical Education, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill.
James E HerringtonDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill.
University of North Carolina at Chapel Hill · USUniversity of North Carolina Health Care · USUniversity of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Substandard and falsified medicines burden health systems by diverting resources to ineffective or harmful therapies, causing medical complications and prolonging illnesses. However, the prevalence and economic impact of poor-quality medicines is unclear. Objective: To conduct a systematic review and meta-analysis to assess the prevalence and estimated economic burden of substandard and falsified essential medicines in low- and middle-income countries. Data Sources: Five databases (PubMed, EconLit, Global Health, Embase, and Scopus) were searched from inception until November 3, 2017. Study Selection: Publications were assessed to determine whether they examined medicine quality and the prevalence and/or economic burden of substandard and falsified medicines in low- and middle-income countries. Studies with a sample size of 50 or more were included in the meta-analysis. Data Extraction and Synthesis: The study is registered in PROSPERO and reported via the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines. Study quality was assessed using an adapted Medicine Quality Assessment Reporting Guidelines scoring metric. Multiple reviewers conducted the data extraction and quality assessment independently. Main Outcomes and Measures: Prevalence and/or estimated economic impact of substandard and falsified medicines. Results: Two hundred sixty-five studies that estimated the prevalence of poor-quality essential medicines in low- and middle-income countries were identified. Among 96 studies that tested 50 samples or more (67 839 total drug samples), overall prevalence of poor-quality medicines was 13.6% (95% CI, 11.0%-16.3%), with regional prevalence of 18.7% in Africa (95% CI, 12.9%-24.5%) and 13.7% in Asia (95% CI, 8.2%-19.1%). Of studies included in the meta-analysis, 19.1% (95% CI, 15.0%-23.3%) of antimalarials and 12.4% (95% CI, 7.1%-17.7%) of antibiotics were substandard or falsified. Eight approximations of the economic impact, focused primarily on market size, with poor or undisclosed methods in estimation were identified, ranging from $10 billion to $200 billion. Conclusions and Relevance: Poor-quality essential medicines are a substantial and understudied problem. Methodological standards for prevalence and rigorous economic studies estimating the burden beyond market size are needed to accurately assess the scope of the issue and inform efforts to address it. Global collaborative efforts are needed to improve supply-chain management, surveillance, and regulatory capacity in low- and middle-income countries to reduce the threat of poor-quality medicines. Trial Registration: PROSPERO Identifier: CRD42017080266.

Indexed as

Counterfeit DrugsDeveloping CountriesHumansIncomePovertyCounterfeit Drugs

Identifiers

PMID30646106
PMCPMC6324280
OpenAlexW2886440016

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.