Evidence map›Paper›PMID 38253399›Full record

ArticleBJGP open2024

Overprescribing of potentially harmful medication: an observational study in England's general practice.

Tasneem Khan, Bethan Copsey, Paul Carder, Stella Johnson, Mohammed Imran, Kaiwen Wang, Sarah Alderson

Open access · goldAbstract read
In one paragraph

Article in BJGP open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

7 authors at 2 institutions in 1 country.

Tasneem KhanLeeds Institute of Health Sciences, University of Leeds, Leeds, UK tasneemkhan@doctors.org.uk.ORCID https://orcid.org/0000-0003-3211-9324
Bethan CopseyClinical Trials Research Unit, University of Leeds, Leeds, UK.
Paul CarderNHS West Yorkshire Integrated Care Board, Leeds, UK.
Stella JohnsonNHS West Yorkshire Integrated Care Board, Leeds, UK.
Mohammed ImranNHS West Yorkshire Integrated Care Board, Leeds, UK.
Kaiwen WangUniversity of Leeds, Leeds, UK.
Sarah AldersonLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0002-5418-0495
University of Leeds · GBSouth West Yorkshire Partnership NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOverprescribing of potentially harmful medication in UK general practice has a complex association with socioeconomic deprivation.

aimTo assess trends in general practice prescribing of five high-risk medications and their relationship with deprivation. DESIGN &

settingAn observational study was conducted using general practice data from three English regions with varied sociodemographic factors: West Yorkshire and Harrogate (WY), Black Country and West Birmingham (BC), and Surrey and East Sussex (SE).

methodPractice-level prescribing data were obtained from 2016-2021 for five drug classes: opioids, hypnotics, gabapentinoids, non-steroidal anti-inflammatory drugs (NSAIDs), and antibacterials. Prescribing trends were demonstrated using a linear model.

resultsReduction in NSAID, opioid, hypnotic and antibacterial prescriptions, and the increase in gabapentinoid prescriptions, were significant at each financial year time period. Index of Multiple Deprivation (IMD) was positively associated with all drug classes except antibacterials, which showed a positive association when incorporating the interaction term between IMD and age.When adjusting for IMD and population, region was independently associated with prescribing rate. Compared with WY, IMD had a smaller association with prescribing in BC for NSAIDs (coefficient = -0.01578,

conclusionThe association of socioeconomic deprivation with overprescribing of high-risk medication in general practice varies by region and drug type. Geographical location is associated with overprescribing, independent of socioeconomic status.

Indexed as

analgesics, opioidanti-inflammatory agents, non-steroidalgeneral practicegeneral practitionersinappropriate prescribingprescriptionsprimary healthcaresocioeconomic factorsUnited Kingdom

Identifiers

PMID38253399
PMCPMC11300984
OpenAlexW4391111064

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.