Evidence map›Paper›PMID 32670594›Full record

ReviewJournal of pharmaceutical policy and practice2020

Tackling the blind spot of poor-quality medicines in Universal Health Coverage.

E S F Orubu, C Ching, M H Zaman, V J Wirtz

Abstract readReview
In one paragraph

Review in Journal of pharmaceutical policy and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

4 authors.

E S F OrubuInstitute for Health System Innovation & Policy, Boston University, Boston, MA USA.
C ChingDepartment of Biomedical Engineering, Boston University, Boston, MA USA.
M H ZamanDepartment of Biomedical Engineering, Boston University, Boston, MA USA.
V J WirtzDepartment of Global Health, Boston University School of Public Health, Boston, MA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUniversal Health Coverage (UHC) is challenged by the prevalence of poor-quality medicines, those that either do not meet required specifications (substandard) or are outrightly fraudulent (falsified), especially in Low- and Middle-Income Countries, LMICs. Whereas poor-quality medicines are a significant burden in these countries, medicine quality still remains a neglected component of UHC programs. This article describes key barriers to quality medicines and presents five select approaches leveraging the scale-up of UHC for medicine quality assurance. MAIN BODY: Barriers to medicine quality assurance, while numerous, are described in five key inter-related domains as: low political priority, weak regulatory systems capacity, poor access to accredited facilities and licensed outlets, medicine manufacturing and other supply-chain challenges, and lack of public awareness. Five select approaches for leveraging the scale-up of UHC for medicine quality assurance in LMICs are (1): political commitment (2) strengthening the capacity of regulatory authorities and investment in detection technologies as part of national security (3); licensing of medicines outlets and expanding pharmacovigilance (4); strengthening the supply-chain; and (5) public awareness and participation.

conclusionsUnchecked, poor-quality medicines can jeopardize UHC. National governments in LMICs need to prioritize medicine quality assurance through enforcing policies, regulatory strengthening and investments in technologies. Healthcare facilities and insurance schemes under UHC also play critical roles through incorporating medicine quality assurance into procurement practices and by promoting awareness among beneficiaries. Tackling medicine quality with a committed systems approach will enhance progress towards UHC implementation.

Indexed as

FalsifiedMedicinePoor-qualityQuality assuranceSubstandardUniversal Health Coverage

Identifiers

PMID32670594
PMCPMC7350647

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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.