Evidence map›Paper›PMID 29208620›Full record

Trial reportBMJ open2017

Impact of electronic clinical decision support on adherence to guideline-recommended treatment for hyperlipidaemia, atrial fibrillation and heart failure: protocol for a cluster randomised trial.

Maya Elizabeth Kessler, Rickey E Carter, David A Cook, Daryl Jon Kor, Paul M McKie, Laurie J Pencille, Marianne R Scheitel, Rajeev Chaudhry

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02742545 (Impact of MayoExpertAdvisor), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT02742545 nacompletednot on this map

Impact of MayoExpertAdvisor (MEA) on Provider Adherence to Guideline Recommended Treatment for Hyperlipidemia, Atrial Fibrillation, and Heart Failure

TypeinterventionalSponsorMayo ClinicRan2016 to 2016Enrolled2,248ConditionsHyperlipidemia, Atrial Fibrillation, Heart FailureArmsMayoExpertAdvisor
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Trial
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  5. Review
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  8. Which Chart Elements Accurately Identify Emergency Department Visits for Suicidal Ideation or Behavior?Archives of suicide research : official journal of the International Academy for Suicide Research
    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

8 authors.

Maya Elizabeth KesslerDivision of Primary Care Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Rickey E CarterDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.ORCID http://orcid.org/0000-0002-0818-273X
David A CookOffice of Information and Knowledge Management, Mayo Clinic, Rochester, Minnesota, USA.
Daryl Jon KorRobert D and Patricia E Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA.
Paul M McKieDivision of Cardiology, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Laurie J PencilleRobert D and Patricia E Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA.
Marianne R ScheitelOffice of Information and Knowledge Management, Mayo Clinic, Rochester, Minnesota, USA.
Rajeev ChaudhryDivision of Primary Care Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionClinical practice guidelines facilitate optimal clinical practice. Point of care access, interpretation and application of such guidelines, however, is inconsistent. Informatics-based tools may help clinicians apply guidelines more consistently. We have developed a novel clinical decision support tool that presents guideline-relevant information and actionable items to clinicians at the point of care. We aim to test whether this tool improves the management of hyperlipidaemia, atrial fibrillation and heart failure by primary care clinicians. METHODS/ANALYSIS: Clinician care teams were cluster randomised to receive access to the clinical decision support tool or passive access to institutional guidelines on 16 May 2016. The trial began on 1 June 2016 when access to the tool was granted to the intervention clinicians. The trial will be run for 6 months to ensure a sufficient number of patient encounters to achieve 80% power to detect a twofold increase in the primary outcome at the 0.05 level of significance. The primary outcome measure will be the percentage of guideline-based recommendations acted on by clinicians for hyperlipidaemia, atrial fibrillation and heart failure. We hypothesise care teams with access to the clinical decision support tool will act on recommendations at a higher rate than care teams in the standard of care arm. ETHICS AND DISSEMINATION: The Mayo Clinic Institutional Review Board approved all study procedures. Informed consent was obtained from clinicians. A waiver of informed consent and of Health Insurance Portability and Accountability Act (HIPAA) authorisation for patients managed by clinicians in the study was granted. In addition to publication, results will be disseminated via meetings and newsletters. TRIAL REGISTRATION NUMBER: NCT02742545.

Indexed as

Research DesignAtrial FibrillationCluster AnalysisDecision Support Systems, ClinicalFemaleGuideline AdherenceHeart FailureHumansHyperlipidemiasMalePractice Patterns, Physicians'Primary Health Careadult cardiologyhealth informaticsinternal medicine

Identifiers

PMID29208620
PMCPMC5719275

What OpenQuestion holds

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Registered trials

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.