Evidence map›Paper›PMID 34043744›Full record

ArticleAmerican journal of hypertension2021

Visual Analytics Dashboard Promises to Improve Hypertension Guideline Implementation.

Raef Ali Fadel, Jacob Ross, Timothy Asmar, Karthik Sridasyam, Zachary Demertzis, Guneet Ahluwalia, Tamara Roumayah, Megan Scott, Hanan Ibrahim, Rawan Hammoudeh and 7 more

Open access · hybridAbstract read
In one paragraph

Article in American journal of hypertension, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact, top 93% 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

7 citing papers in PubMed, 0 citations in OpenAlex.

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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

17 authors at 2 institutions in 1 country.

Raef Ali FadelDepartment of Internal Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.
Jacob RossDepartment of Emergency Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.
Timothy AsmarDepartment of Emergency Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.
Karthik SridasyamDepartment of Emergency Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.
Zachary DemertzisDepartment of Internal Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.
Guneet AhluwaliaDepartment of Internal Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.
Tamara RoumayahDepartment of Internal Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.
Megan ScottDepartment of Internal Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.
Hanan IbrahimDepartment of Internal Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.
Rawan HammoudehDepartment of Internal Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.
Nitesh GandhiDepartment of Internal Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.
Meaghan FlynnDepartment of Neuroscience and Behavior, University of Notre Dame, Notre Dame, Indiana, USA.ORCID 0000-0002-9288-6894
Alexis Haftka-GeorgeDepartment of Internal Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.
Danielle HeidemannDepartment of Internal Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.
Sarah SimsPatient Insight, Los Angeles, California, USA.
Phillip LevyDepartment of Emergency Medicine, Wayne State University, Detroit, Michigan, USA.
Joseph MillerDepartment of Internal Medicine, Henry Ford Hospital and Wayne State University, Detroit, Michigan, USA.ORCID 0000-0002-9451-1359
Wayne State University · USUniversity of Notre Dame · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary care management of hypertension under new guidelines incorporates assessment of cardiovascular disease risk and commonly requires review of electronic health record (EHR) data. Visual analytics can streamline the review of complex data and may lessen the burden clinicians face using the EHR. This study sought to assess the utility of a visual analytics dashboard in addition to EHR in managing hypertension in a primary care setting.

methodsPrimary care physicians within an urban, academic internal medicine clinic were tasked with performing 2 simulated patient encounters for hypertension management: the first using standard EHR, and the second using EHR paired with a visual dashboard. The dashboard included graphical blood pressure trends with guideline-directed targets, calculated atherosclerotic cardiovascular disease risk score, and relevant medications. Guideline-appropriate antihypertensive prescribing, correct target blood pressure goal, and total encounter time were assessed.

resultsWe evaluated 70 case simulations. Use of the dashboard with the EHR compared with use of the EHR alone was associated with greater adherence to prescribing guidelines (95% vs. 62%, P < 0.001) and more correct identification of blood pressure target (95% vs. 57%, P < 0.01). Total encounter time fell an average of 121 seconds (95% confidence interval 69-157 seconds, P < 0.001) in encounters that used the dashboard combined with the EHR.

conclusionsThe integration of a hypertension-specific visual analytics dashboard with EHR demonstrates the potential to reduce time and improve hypertension guideline implementation. Further widespread testing in clinical practice is warranted.

Indexed as

Computer GraphicsGuideline AdherenceHypertensionAntihypertensive AgentsBlood PressureElectronic Health RecordsHumansPractice Guidelines as TopicAntihypertensive Agentsblood pressuredecision support systemguidelineshypertensionprimary caresocial determinants of health

Identifiers

PMID34043744
PMCPMC8557440
OpenAlexW3159435703

What OpenQuestion holds

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LicenceCC BY-NC
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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.