ArticleMedicine access @ point of care
Medicine quality in high-income countries: The obstacles to comparative prevalence studies.
Article in Medicine access @ point of care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.
- Substandard and falsified medicine recalls in the legitimate supply chain: a systematic review of evidence.BMJ open · 2025Pooled it
- The impact of global falsified medicines regulation on healthcare stakeholders in the legitimate pharmaceutical supply chain: a systematic review.Frontiers in medicine · 2024Pooled it
- Effect of tropical climates on the quality of commonly used antibiotics: the protocol for a systematic review and meta-analysis.BMJ open · 2025Article
- The quality of antiretroviral medicines: an uncertain problem.BMJ global health · 2023Article
- Substandard and falsified medical product recalls in Zambia from 2018 to 2021 and implications on the quality surveillance systems.The journal of medicine accessArticle
- Risk control drives risk assessment and risk review: A cause and effect model of pharmaceutical drug recall on patient safety.The journal of medicine accessArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The entry of falsified and substandard medicines into the legitimate pharmaceutical supply chain has negative impacts on healthcare systems, patient safety, and patient access to medicine. The COVID-19 pandemic has highlighted the importance of access to safe medicine through legitimate pharmaceutical supply chains and the willingness of criminals to target medical products such as PPE (personal protective equipment) and COVID-19 treatments. In this article, we analyse data from the United Kingdom (UK) national medicine alert and recall database to identify and understand recent cases of substandard and falsified medicine in the UK's healthcare systems. Using the UK as a case study, we describe that national drug alert and recall data are useful in their current form to record and understand cases of substandard and falsified medicines in the supply chain. However, if regulatory agencies published further data, these drug recall databases may be useful to support longitudinal and international comparative medicine quality studies. We suggest that regulatory agencies publish the number of affected medicine packs in each recalled batch, as part of the recall process. This will help policy makers, practitioners, and researchers to better understand, monitor and compare the quality of medicines within legitimate supply chains.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.