ArticleExploratory research in clinical and social pharmacy2025
High-risk medication errors: Insight from the UK National Reporting and learning system.
Article in Exploratory research in clinical and social pharmacy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Advancement in peptide-based therapeutics for the treatment of type 2 diabetes mellitus: current progress and future prospects.Molecular diversity · 2026Review
- Biologics and biosimilars medication errors in Saudi Arabia: a nationwide retrospective observational real-world study.Frontiers in medicine · 2026Article
- 'Why, Can I Not Have Control of My Own Insulin?': Qualitative Exploration Amongst Older Adults With Diabetes With Lived Experience of Surgical Hospital Admission.Health expectations : an international journal of public participation in health care and health policy · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Ensuring patient safety is of paramount importance in healthcare systems. Rising concerns about medical errors in the UK have necessitated a greater focus on studying the nature of such errors, particularly those involving high-risk medications. Objectives: To conduct a retrospective analysis of incidents related to patient safety in the UK based on data from the National Rporting and Learning System (NRLS). Methods: This study was conducted based on a review of the National Reporting and Learning System Results: The results showed that the insulin category had both the highest risk and most errors compared with anticoagulants and opioids. These errors primarily result from issues related to administering, prescribing, and dispensing the drugs. Inadequate drug checks, communication difficulties among staff and patients, and high staff workloads are often linked to these errors. Conclusion: This study confirms that the NRLS database is a valuable source of data, and the suggestions put forth, based on these results, could contribute to the formulation of measures that diminish the occurrence of errors related to high-risk drugs in healthcare settings. Information technology should enhance medication safety by tracking the process of medication use.
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.