Evidence map›Paper›PMID 35139182›Full record

ArticleEuropean heart journal2022

Nudging within learning health systems: next generation decision support to improve cardiovascular care.

Yang Chen, Steve Harris, Yvonne Rogers, Tariq Ahmad, Folkert W Asselbergs

Erratum issuedAbstract read
In one paragraph

Article in European heart journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yang ChenInstitute of Health Informatics, University College London, 222 Euston Road, London NW1 2DA, UK.ORCID 0000-0001-6032-3387
Steve HarrisInstitute of Health Informatics, University College London, 222 Euston Road, London NW1 2DA, UK.ORCID 0000-0002-4982-1374
Yvonne RogersUCL Interaction Centre, University College London, London, UK.
Tariq AhmadSection of Cardiovascular Medicine, School of Medicine, Yale University, New Haven, CT, USA.ORCID 0000-0001-7596-4697
Folkert W AsselbergsInstitute of Health Informatics, University College London, 222 Euston Road, London NW1 2DA, UK.ORCID 0000-0002-1692-8669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing volume and richness of healthcare data collected during routine clinical practice have not yet translated into significant numbers of actionable insights that have systematically improved patient outcomes. An evidence-practice gap continues to exist in healthcare. We contest that this gap can be reduced by assessing the use of nudge theory as part of clinical decision support systems (CDSS). Deploying nudges to modify clinician behaviour and improve adherence to guideline-directed therapy represents an underused tool in bridging the evidence-practice gap. In conjunction with electronic health records (EHRs) and newer devices including artificial intelligence algorithms that are increasingly integrated within learning health systems, nudges such as CDSS alerts should be iteratively tested for all stakeholders involved in health decision-making: clinicians, researchers, and patients alike. Not only could they improve the implementation of known evidence, but the true value of nudging could lie in areas where traditional randomized controlled trials are lacking, and where clinical equipoise and variation dominate. The opportunity to test CDSS nudge alerts and their ability to standardize behaviour in the face of uncertainty may generate novel insights and improve patient outcomes in areas of clinical practice currently without a robust evidence base.

Indexed as

Decision Support Systems, ClinicalLearning Health SystemArtificial IntelligenceDelivery of Health CareElectronic Health RecordsHumansClinical decision support systemElectronic health recordLearning health systemNudgeNudge theory

Identifiers

PMID35139182
PMCPMC8971005

What OpenQuestion holds

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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.