Evidence map›Paper›PMID 34913178›Full record

ArticleBritish journal of clinical pharmacology2022

Choice of oral anticoagulant prescribed by general practices in Wales: Application of Dirichlet regression and linked data.

Daniel Hill-McManus, Dyfrig A Hughes

Abstract read
In one paragraph

Article in British journal of clinical pharmacology, 2022. 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
–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

1 citing paper in PubMed.

  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

2 authors.

Daniel Hill-McManusCentre for Health Economics and Medicines Evaluation, Bangor University, Bangor, UK.ORCID 0000-0002-1936-3907
Dyfrig A HughesCentre for Health Economics and Medicines Evaluation, Bangor University, Bangor, UK.ORCID 0000-0001-8247-7459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThere has been sustained growth in the prescribing of direct oral anticoagulants (OACs) in primary care in the UK. Given the different indications, properties and prices of OACs, variation between prescribers is expected; however, a high level of variation may be evidence of inappropriate or suboptimal prescribing. This study examined the variation in the relative use of OACs in primary care in Wales.

methodsData on total defined daily doses of all community-dispensed OACs in 2019 were linked at the GP practice level with disease registers, patient demographic data and GP and patient numbers. The relative use of each OAC, as a fraction of all OACs prescribed, was analysed using Dirichlet regression to quantify the association between prescribing patterns and practice and area-level characteristics.

resultsAcross 417 GP practices, the mean (range) in the relative prescribing of warfarin was 37% (6%-64%), apixaban was 32% (2%-65%), rivaroxaban 23% (0%-66%), dabigatran 3% (0%-23%) and edoxaban 6% (0%-59%). Statistical modelling provided strong evidence that prescribing patterns are associated with a GP practice's health board and also their nearest major hospital. Compared to the null model, a model including health board resulted in a 15% fall in Akaike information criterion, increasing to 20% with the addition of nearest major hospital and 27% including further covariates.

conclusionSystematic variation in OAC prescribing, by health board and based on nearest hospital, indicates that factors other than patient clinical characteristics and preferences may be influencing prescribing decisions.

Indexed as

Atrial FibrillationStrokeAdministration, OralAnticoagulantsDabigatranHumansPyridonesRivaroxabanSemantic WebWalesAnticoagulantsDabigatranPyridonesRivaroxabanDirichlet regressionoral anticoagulantspharmacoepidemiologyprescribing variation

Identifiers

PMID34913178
PMCPMC9305862

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.