Literature DB >> 25868600

Quality Improvement Implementation: Improving Reproducibility in the Echocardiography Laboratory.

Melissa A Daubert1, Eric Yow2, Huiman X Barnhart2, Dawn Rabineau2, Anna Lisa Crowley3, Pamela S Douglas3.   

Abstract

BACKGROUND: Interpretative variability can adversely affect echocardiographic reliability, but there is no widely accepted method to minimize variability and improve reproducibility.
METHODS: A continuous quality improvement process was devised that involves testing reproducibility by assessment of measurement differences followed by robust review, retraining, and retesting. Reproducibility was deemed acceptable if ≥80% of all interreader comparisons were within a prespecified acceptable difference. Readers not meeting this standard underwent retraining and retesting until acceptable reproducibility was achieved for the following parameters: left ventricular end-diastolic volume, biplane ejection fraction, mitral and aortic regurgitation, left ventricular outflow tract diameter, peak and mean aortic valve gradients, and aortic valve area. Eight hundred interreader comparisons for evaluation of reproducibility were generated from five readers interpreting 10 echocardiograms per testing cycle. The applicability and efficacy of this method were then evaluated by testing a second larger group of 10 readers and reevaluating reproducibility 1 year later.
RESULTS: All readers demonstrated acceptable reproducibility for biplane ejection fraction, mitral regurgitation, and peak and mean aortic valve gradients. Acceptable reproducibility for left ventricular end-diastolic volume, aortic regurgitation, and aortic valve area was achieved by four of five readers. No readers attained acceptable reproducibility on initial evaluation of left ventricular outflow tract diameter. After review and retraining, all readers demonstrated acceptable reproducibility, which was maintained on subsequent testing 1 year later. A second larger group of 10 readers was also evaluated and yielded similar results.
CONCLUSIONS: A continuous quality improvement process was devised that successfully reduced interpretative variability in echocardiography and improved reproducibility that was sustained over time.
Copyright © 2015 American Society of Echocardiography. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Coverage probability; Echocardiography; Quality improvement; Reliability; Reproducibility

Mesh:

Year:  2015        PMID: 25868600     DOI: 10.1016/j.echo.2015.03.004

Source DB:  PubMed          Journal:  J Am Soc Echocardiogr        ISSN: 0894-7317            Impact factor:   5.251


  8 in total

1.  Crowdsourcing consensus: proposal of a novel method for assessing accuracy in echocardiography interpretation.

Authors:  Stephanie Minter; Alicia Armour; Amanda Tinnemore; Karen Strub; Anna Lisa Crowley; Gerald S Bloomfield; John H Alexander; Pamela S Douglas; Joseph A Kisslo; Eric J Velazquez; Zainab Samad
Journal:  Int J Cardiovasc Imaging       Date:  2018-08-20       Impact factor: 2.357

2.  A standardized imaging protocol improves quality and reduces practice variability in echocardiographic assessment of ventricular function by first-year pediatric cardiology fellows.

Authors:  Brian R White; Deborah Y Ho; Lindsay S Rogers; Shobha S Natarajan
Journal:  Echocardiography       Date:  2019-08-05       Impact factor: 1.724

3.  Association between systolic ejection time and outcomes in heart failure by ejection fraction.

Authors:  Priyesh A Patel; Andrew P Ambrosy; Matthew Phelan; Fawaz Alenezi; Karen Chiswell; Melissa K Van Dyke; Jennifer Tomfohr; Narimon Honarpour; Eric J Velazquez
Journal:  Eur J Heart Fail       Date:  2019-12-21       Impact factor: 15.534

4.  A patient-centred model to quality assure outputs from an echocardiography department: consensus guidance from the British Society of Echocardiography.

Authors:  Thomas E Ingram; Steph Baker; Jane Allen; Sarah Ritzmann; Nina Bual; Laura Duffy; Chris Ellis; Karina Bunting; Noel Black; Marcus Peck; Sandeep S Hothi; Vishal Sharma; Keith Pearce; Richard P Steeds; Navroz Masani
Journal:  Echo Res Pract       Date:  2018-12-01

5.  Quality Improvement Methodology Facilitates Adherence to Echocardiogram Protocol Measurements.

Authors:  Saira Siddiqui; Eunice Hahn; Garick D Hill; James Brown; Katherine Lehmkuhl; Christopher Statile
Journal:  Pediatr Qual Saf       Date:  2022-01-21

6.  Improving Wait Time for Patients in a Pediatric Echocardiography Laboratory - a Quality Improvement Project.

Authors:  Anitha Parthiban; Ashley Warta; Jennifer A Marshall; Kimberly J Reid; Keith Mann; Girish Shirali; Tara Swanson
Journal:  Pediatr Qual Saf       Date:  2018-06-06

7.  Optimal threshold of three-dimensional echocardiographic fully automated software for quantification of left ventricular volumes and ejection fraction: Comparison with cardiac magnetic resonance disk-area summation method and feature tracking method.

Authors:  Victor Chien-Chia Wu; Tetuji Kitano; Yosuke Nabeshima; Kyoko Otani; Pao-Hsien Chu; Masaaki Takeuchi
Journal:  PLoS One       Date:  2019-01-28       Impact factor: 3.240

8.  Impact of a training program incorporating cardiac magnetic resonance imaging on the accuracy and reproducibility of two-dimensional echocardiographic measurements of left ventricular volumes and ejection fraction.

Authors:  Yosuke Nabeshima; Hidehiro Namisaki; Toshihiro Teshima; Yasuhiko Kurashige; Akiko Kakio; Azusa Fukumitsu; Yutaka Otsuji; Masaaki Takeuchi
Journal:  Cardiovasc Ultrasound       Date:  2019-10-31       Impact factor: 2.062

  8 in total

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