Evidence map›Paper›PMID 31495965›Full record

Observational studyBritish journal of clinical pharmacology2020

High-risk medicines associated with clinically relevant medication-related problems in UK hospitals: A prospective observational study.

Cathy Geeson, Li Wei, Bryony Dean Franklin

Abstract readObservational Study
In one paragraph

Observational study in British journal of clinical pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. High alert medications off the radar: A systematic review.Exploratory research in clinical and social pharmacy · 2025
    Review
  2. Article
  3. Observational
  4. Article
  5. Observational
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

3 authors.

Cathy GeesonLuton and Dunstable University Hospital, NHS Foundation Trust, Luton, UK.ORCID 0000-0002-4340-4705
Li WeiUCL School of Pharmacy, London, UK.
Bryony Dean FranklinUCL School of Pharmacy, London, UK.

Funding

Chief Scientist Office CZG/2/540Department of Health CDRF-2014-05-033Medical Research Council G106/1249National Institute for Health Research CDRF-2014-05-033
6 · The paper itself

Abstract

The aim of this prospective observational study was to establish associations between the use of high-risk medicine groups and the study outcome: occurrence of at least 1 moderate or severe preventable medication-related problem. Data on medication-related problems, high-risk medicines, and other potential risk factors were collected from adults on medical wards in 2 UK hospitals. Logistic regression modelling was used to determine relationships between high-risk medicines and the study outcome. Among 1503 eligible admissions, 6 high-risk medicine groups were associated with the study outcome on univariable analysis; multivariable analysis found only systemic antimicrobials and epilepsy medicines to be independently associated with the outcome (adjusted odds ratio 1.44, 95% confidence interval 1.08-1.92 and adjusted odds ratio 1.61, 95% confidence interval 1.16-2.25 respectively). Identification of high-risk medicine groups has potential to permit targeting of patients at highest risk of avoidable medication-related harm, but multivariable analysis suggests risk is likely to be multifactorial.

Indexed as

HospitalsMedication ErrorsAdultHospitalizationHumansProspective StudiesUnited Kingdomclinical pharmacologyepidemiologyhealth services researchmedication safetypharmacoepidemiology

Identifiers

PMID31495965
PMCPMC6983521

What OpenQuestion holds

Textmetadata
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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.