Evidence map›Paper›PMID 23972195›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2013

The prevalence and nature of prescribing and monitoring errors in English general practice: a retrospective case note review.

Anthony J Avery, Maisoon Ghaleb, Nick Barber, Bryony Dean Franklin, Sarah J Armstrong, Brian Serumaga, Soraya Dhillon, Anette Freyer, Rachel Howard, Olanrewaju Talabi and 1 more

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Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
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72citing papers in PubMed, 5 pooled it
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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.

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3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  5. Ambulatory Medication Safety in Primary Care: A Systematic Review.Journal of the American Board of Family Medicine : JABFM
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12 more citing papers are in PubMed but not listed here.

4 · The record

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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

11 authors.

Anthony J AveryDivision of Primary Care, School of Community Health Sciences, University of Nottingham Medical School, Nottingham, UK. tony.avery@nottingham.ac.uk
Maisoon Ghaleb
Nick Barber
Bryony Dean Franklin
Sarah J Armstrong
Brian Serumaga
Soraya Dhillon
Anette Freyer
Rachel Howard
Olanrewaju Talabi
Rajnikant L Mehta

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRelatively little is known about prescribing errors in general practice, or the factors associated with error.

aimTo determine the prevalence and nature of prescribing and monitoring errors in general practices in England. DESIGN AND

settingRetrospective case-note review of unique medication items prescribed over a 12-month period to a 2% random sample of patients. Fifteen general practices across three primary care trusts in England.

methodA total of 6048 unique prescription items prescribed over the previous 12 months for 1777 patients were examined. The data were analysed by mixed effects logistic regression. The main outcome measures were prevalence of prescribing and monitoring errors, and severity of errors, using validated definitions.

resultsPrescribing and/or monitoring errors were detected in 4.9% (296/6048) of all prescription items (95% confidence interval [CI] = 4.4% to 5.5%). The vast majority of errors were of mild to moderate severity, with 0.2% (11/6048) of items having a severe error. After adjusting for covariates, patient-related factors associated with an increased risk of prescribing and/or monitoring errors were: age <15 years (odds ratio [OR] = 1.87, 95% CI = 1.19 to 2.94, P = 0.006) or >64 years (OR = 1.68, 95% CI = 1.04 to 2.73, P = 0.035), and higher numbers of unique medication items prescribed (OR = 1.16, 95% CI = 1.12 to 1.19, P<0.001).

conclusionPrescribing and monitoring errors are common in English general practice, although severe errors are unusual. Many factors increase the risk of error. Having identified the most common and important errors, and the factors associated with these, strategies to prevent future errors should be developed, based on the study findings.

Indexed as

AdolescentAdultAgedChildChild, PreschoolDrug MonitoringDrug PrescriptionsEnglandFemaleGeneral PracticeHumansInappropriate PrescribingInfantMaleMiddle AgedPractice Patterns, Physicians'Prescription Drugs

Identifiers

PMID23972195
PMCPMC3722831

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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.