Evidence map›Paper›PMID 20353659›Full record

Trial reportThe British journal of general practice : the journal of the Royal College of General Practitioners2010

Automated electronic reminders to facilitate primary cardiovascular disease prevention: randomised controlled trial.

Tim A Holt, Margaret Thorogood, Frances Griffiths, Stephen Munday, Tim Friede, David Stables

Open access · bronzeAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in The British journal of general practice : the journal of the Royal College of General Practitioners, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 10 pooled it
2.5field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 10 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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  4. Risk scoring for the primary prevention of cardiovascular disease.The Cochrane database of systematic reviews · 2017
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  15. The Impact of Meaningful Use and Electronic Health Records on Hospital Patient Safety.International journal of environmental research and public health · 2022
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  17. Big data analytics for preventive medicine.Neural computing & applications · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Tim A HoltHealth Sciences Research Institute, University of Warwick, Coventry. tim.holt@warwick.ac.uk
Margaret Thorogood
Frances Griffiths
Stephen Munday
Tim Friede
David Stables
University of Warwick · GB

Funding

Department of Health
6 · The paper itself

Abstract

backgroundPrimary care databases contain cardiovascular disease risk factor data, but practical tools are required to improve identification of at-risk patients.

aimTo test the effects of a system of electronic reminders (the 'e-Nudge') on cardiovascular events and the adequacy of data for cardiovascular risk estimation. DESIGN OF STUDY: Randomised controlled trial.

settingNineteen general practices in the West Midlands, UK.

methodThe e-Nudge identifies four groups of patients aged over 50 years on the basis of estimated cardiovascular risk and adequacy of risk factor data in general practice computers. Screen messages highlight individuals at raised risk and prompt users to complete risk profiles where necessary. The proportion of the study population in the four groups was measured, as well as the rate of cardiovascular events in each arm after 2 years.

resultsOver 38 000 patients' electronic records were randomised. The intervention led to an increase in the proportion of patients with sufficient data who were identifiably at risk, with a difference of 1.94% compared to the control group (95% confidence interval [CI] = 1.38 to 2.50, P<0.001). A corresponding reduction occurred in the proportion potentially at risk but requiring further data for a risk estimation (difference = -3.68%, 95% CI = -4.53 to -2.84, P<0.001). No significant difference was observed in the incidence of cardiovascular events (rate ratio = 0.96, 95% CI = 0.85 to 1.10, P = 0.59).

conclusionAutomated electronic reminders using routinely collected primary care data can improve the adequacy of cardiovascular risk factor information during everyday practice and increase the visibility of the at-risk population.

Indexed as

AgedCardiovascular DiseasesElectronic Health RecordsEnglandFamily PracticeFemaleHumansMaleMiddle AgedOutcome Assessment, Health CarePrognosisQuality Assurance, Health CareReminder SystemsRisk AssessmentRisk Factors

Identifiers

PMID20353659
PMCPMC2845504
OpenAlexW2077459760

What OpenQuestion holds

Textmetadata
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.