Evidence map›Paper›PMID 33139140›Full record

Observational studyJournal of the American Society of Echocardiography : official publication of the American Society of Echocardiography2021

Effects of an Electronic Medical Record Intervention on Appropriateness of Transthoracic Echocardiograms: A Prospective Study.

Weihan Chen, David T Saxon, Michael P Henry, John R Herald, Rob Holleman, Debbie Zawol, Stacy Sivils, Mohamad A Kenaan, Theodore J Kolias, Hitinder S Gurm and 1 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Weihan ChenDepartment of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan; Department of Internal Medicine, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan.
David T SaxonDepartment of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan; Department of Internal Medicine, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan; Division of Cardiology, Department of Internal Medicine, University of North Carolina Medical Center, Chapel Hill, North Carolina.
Michael P HenryDepartment of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan; Department of Internal Medicine, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan; Section of Cardiology, Department of Internal Medicine, UChicago Medicine, Chicago, Illinois.
John R HeraldDepartment of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan; Department of Internal Medicine, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan; Department of Cardiology, Kaiser Permanente Los Angeles Medical Center, Los Angeles, California.
Rob HollemanVeterans Affairs Center for Clinical Management Research, Ann Arbor, Michigan.
Debbie ZawolDepartment of Internal Medicine, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan.
Stacy SivilsSection of Cardiology, Department of Internal Medicine, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan.
Mohamad A KenaanDivision of Cardiovascular Medicine, Department of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan; Section of Cardiology, Department of Internal Medicine, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan; Spectrum Health Cardiovascular Medicine, Grand Rapids, Michigan.
Theodore J KoliasDivision of Cardiovascular Medicine, Department of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan.
Hitinder S GurmDivision of Cardiovascular Medicine, Department of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan; Section of Cardiology, Department of Internal Medicine, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan.
Nicole M BhaveDivision of Cardiovascular Medicine, Department of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan; Section of Cardiology, Department of Internal Medicine, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan. Electronic address: nbhave@umich.edu.

Funding

MULTIDISCIPLINARY CARDIAC SCIENCEST32HL007381 · NHLBI · UNIVERSITY OF CHICAGO · PI JEANNE M DECARA, Yoav Gilad · 1985 to 2026
$12.5M
NHLBI NIH HHS T32 HL007381
6 · The paper itself

Abstract

backgroundTransthoracic echocardiograms (TTEs) account for approximately half of U.S. spending on cardiac imaging. We developed an electronic medical record (EMR)-based decision-support algorithm for TTE ordering and hypothesized that it would increase the appropriateness of TTE orders.

methodsThis prospective observational study was performed at the Veterans Affairs Ann Arbor Healthcare System. From October to December 2016 (preintervention), consecutive TTEs ordered in the inpatient, outpatient, and emergency department settings were included. In May 2017, a decision-support algorithm was incorporated into the EMR, giving immediate feedback to providers. Chart review was performed for TTEs ordered from June to August 2017 (early intervention) and from June to August 2018 (late intervention). Appropriateness was determined based on the 2011 appropriate use criteria for echocardiography.

resultsAppropriate TTE orders increased from 87.6% preintervention to 94.5% at early intervention (z = 0.00018) but decreased to 90.0% at late intervention (z = 0.51, compared with preintervention). Among patients with no previous TTEs in our system, 95.3% of TTEs were appropriate, compared with 87.7% of TTEs for patients with prior TTEs within 30 days prior (odds ratio = 2.85; 95% CI, 1.18-6.31; P = .005).

conclusionsThe EMR algorithm initially increased the percentage of appropriate TTEs, but this effect decayed over time. Further study is needed to develop EMR-based interventions that will have lasting impacts on provider ordering patterns.

Indexed as

Electronic Health RecordsGuideline AdherenceEchocardiographyHumansPractice Patterns, Physicians'Prospective StudiesAppropriatenessDecision supportElectronic medical recordTransthoracic echocardiography

Identifiers

PMID33139140
PMCPMC7955652

What OpenQuestion holds

Textmetadata
LicenceTDM
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.