Evidence map›Paper›PMID 32253190›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2020

Impact of emergency hospital admissions on patterns of primary care prescribing: a retrospective cohort analysis of electronic records in England.

Rachel Denholm, Richard Morris, Sarah Purdy, Rupert Payne

Open access · hybridAbstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2020. 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
0.1field-weighted citation impact, top 56% 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

4 authors at 1 institution in 1 country.

Rachel DenholmCentre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol.
Richard MorrisCentre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol.
Sarah PurdyBristol Medical School, University of Bristol, Bristol.
Rupert PayneCentre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol.
University of Bristol · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLittle is known about the impact of hospitalisation on prescribing in UK clinical practice.

aimTo investigate whether an emergency hospital admission drives increases in polypharmacy and potentially inappropriate prescriptions (PIPs). DESIGN AND

settingA retrospective cohort analysis set in primary and secondary care in England.

methodChanges in number of prescriptions and PIPs following an emergency hospital admission in 2014 (at admission and 4 weeks post-discharge), and 6 months post-discharge were calculated among 37 761 adult patients. Regression models were used to investigate changes in prescribing following an admission.

resultsEmergency attendees surviving 6 months (

conclusionPerceptions that hospitalisation is a consistent factor driving rises in polypharmacy are unfounded. Increases in prescribing post-hospitalisation reflect appropriate clinical response to acute illness, whereas decreases are more likely in patients who are multimorbid, reflecting a focus on deprescribing and medicines optimisation in these individuals. Increases in PIPs remain a concern.

Indexed as

AftercarePatient DischargeAdultCohort StudiesElectronicsEnglandHospitalizationHospitalsHumansInappropriate PrescribingPolypharmacyRetrospective Studieshospital admissionhospital emergency serviceinappropriate prescribingpolypharmacyprimary health care

Identifiers

PMID32253190
PMCPMC7141815
OpenAlexW3015168350

What OpenQuestion holds

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LicenceCC BY-NC
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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.