Literature DB >> 22623571

Web-based mammography audit feedback.

Berta M Geller1, Laura Ichikawa, Diana L Miglioretti, David Eastman.   

Abstract

OBJECTIVE: Interpreting screening mammography accurately is challenging and requires ongoing education to maintain and improve interpretative skills. Recognizing this, many countries with organized breast screening programs have developed audit and feedback systems using national performance data to help radiologists assess and improve their skills. We developed and tested an interactive Website to provide screening and diagnostic mammography audit feedback with comparisons to national and regional benchmarks.
MATERIALS AND METHODS: Radiologists who participate in three Breast Cancer Surveillance Consortium registries in the United States were invited during 2009 and 2010 to use a Website that provides tabular and graphical displays of mammography audit reports with comparisons to national and regional performance measures. We collected data about the use and perceptions of the Website.
RESULTS: Thirty-five of 111 invited radiologists used the Website from one to five times in a year. The most popular measure was sensitivity for both screening and diagnostic mammography, whereas a table with all measures was the most visited page. Of the 13 radiologists who completed the postuse survey, all found the Website easy to use and navigate, 11 found the benchmarks useful, and nine reported that they intended to improve a specific outcome measure that year.
CONCLUSION: An interactive Website to provide customized mammography audit feedback reports to radiologists has the potential to be a powerful tool in improving interpretive performance. The conceptual framework of customized audit feedback reports can also be generalized to other imaging tests.

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Mesh:

Year:  2012        PMID: 22623571      PMCID: PMC3618689          DOI: 10.2214/AJR.11.7971

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  14 in total

1.  Quality mammography standards--FDA. Final rule.

Authors: 
Journal:  Fed Regist       Date:  1997-10-28

Review 2.  Audit and feedback: effects on professional practice and health care outcomes.

Authors:  G Jamtvedt; J M Young; D T Kristoffersen; M A O'Brien; A D Oxman
Journal:  Cochrane Database Syst Rev       Date:  2006-04-19

3.  Performance benchmarks for screening mammography.

Authors:  Robert D Rosenberg; Bonnie C Yankaskas; Linn A Abraham; Edward A Sickles; Constance D Lehman; Berta M Geller; Patricia A Carney; Karla Kerlikowske; Diana S M Buist; Donald L Weaver; William E Barlow; Rachel Ballard-Barbash
Journal:  Radiology       Date:  2006-10       Impact factor: 11.105

4.  A portrait of breast imaging specialists and of the interpretation of mammography in the United States.

Authors:  Rebecca S Lewis; Jonathan H Sunshine; Mythreyi Bhargavan
Journal:  AJR Am J Roentgenol       Date:  2006-11       Impact factor: 3.959

5.  Breast Cancer Surveillance Consortium: a national mammography screening and outcomes database.

Authors:  R Ballard-Barbash; S H Taplin; B C Yankaskas; V L Ernster; R D Rosenberg; P A Carney; W E Barlow; B M Geller; K Kerlikowske; B K Edwards; C F Lynch; N Urban; C A Chrvala; C R Key; S P Poplack; J K Worden; L G Kessler
Journal:  AJR Am J Roentgenol       Date:  1997-10       Impact factor: 3.959

6.  Performance benchmarks for diagnostic mammography.

Authors:  Edward A Sickles; Diana L Miglioretti; Rachel Ballard-Barbash; Berta M Geller; Jessica W T Leung; Robert D Rosenberg; Rebecca Smith-Bindman; Bonnie C Yankaskas
Journal:  Radiology       Date:  2005-06       Impact factor: 11.105

7.  Variability in interpretive performance at screening mammography and radiologists' characteristics associated with accuracy.

Authors:  Joann G Elmore; Sara L Jackson; Linn Abraham; Diana L Miglioretti; Patricia A Carney; Berta M Geller; Bonnie C Yankaskas; Karla Kerlikowske; Tracy Onega; Robert D Rosenberg; Edward A Sickles; Diana S M Buist
Journal:  Radiology       Date:  2009-10-28       Impact factor: 11.105

8.  Can peer review contribute to earlier detection of breast cancer? A quality initiative to learn from false-negative mammograms.

Authors:  Emily C Siegal; Elizabeth J Angelakis; Audrey Hartman
Journal:  Breast J       Date:  2008 Jul-Aug       Impact factor: 2.431

9.  Best ways to provide feedback to radiologists on mammography performance.

Authors:  Erin J Aiello Bowles; Berta M Geller
Journal:  AJR Am J Roentgenol       Date:  2009-07       Impact factor: 3.959

Review 10.  Systematic review of the literature on assessment, feedback and physicians' clinical performance: BEME Guide No. 7.

Authors:  Jon Veloski; James R Boex; Margaret J Grasberger; Adam Evans; Daniel B Wolfson
Journal:  Med Teach       Date:  2006-03       Impact factor: 3.650

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  8 in total

1.  Experiences with a self-test for Dutch breast screening radiologists: lessons learnt.

Authors:  J M H Timmers; A L M Verbeek; R M Pijnappel; M J M Broeders; G J den Heeten
Journal:  Eur Radiol       Date:  2013-09-22       Impact factor: 5.315

2.  Effect of radiologists' diagnostic work-up volume on interpretive performance.

Authors:  Diana S M Buist; Melissa L Anderson; Robert A Smith; Patricia A Carney; Diana L Miglioretti; Barbara S Monsees; Edward A Sickles; Stephen H Taplin; Berta M Geller; Bonnie C Yankaskas; Tracy L Onega
Journal:  Radiology       Date:  2014-06-24       Impact factor: 11.105

3.  Mammographic interpretation: radiologists' ability to accurately estimate their performance and compare it with that of their peers.

Authors:  Andrea J Cook; Joann G Elmore; Weiwei Zhu; Sara L Jackson; Patricia A Carney; Chris Flowers; Tracy Onega; Berta Geller; Robert D Rosenberg; Diana L Miglioretti
Journal:  AJR Am J Roentgenol       Date:  2012-09       Impact factor: 3.959

4.  Computer-supported feedback message tailoring: theory-informed adaptation of clinical audit and feedback for learning and behavior change.

Authors:  Zach Landis-Lewis; Jamie C Brehaut; Harry Hochheiser; Gerald P Douglas; Rebecca S Jacobson
Journal:  Implement Sci       Date:  2015-01-21       Impact factor: 7.327

5.  Multi-method laboratory user evaluation of an actionable clinical performance information system: Implications for usability and patient safety.

Authors:  Benjamin Brown; Panos Balatsoukas; Richard Williams; Matthew Sperrin; Iain Buchan
Journal:  J Biomed Inform       Date:  2017-11-13       Impact factor: 6.317

6.  Interface design recommendations for computerised clinical audit and feedback: Hybrid usability evidence from a research-led system.

Authors:  Benjamin Brown; Panos Balatsoukas; Richard Williams; Matthew Sperrin; Iain Buchan
Journal:  Int J Med Inform       Date:  2016-07-16       Impact factor: 4.046

7.  Breast cancer mammographic diagnosis performance in a public health institution: a retrospective cohort study.

Authors:  Juliana M R B Mello; Fernando P Bittelbrunn; Marcio A B C Rockenbach; Guilherme G May; Leonardo M Vedolin; Marilia S Kruger; Matheus D Soldatelli; Guilherme Zwetsch; Gabriel T F de Miranda; Saone I P Teixeira; Bruna S Arruda
Journal:  Insights Imaging       Date:  2017-10-04

8.  Systematic review and narrative synthesis of computerized audit and feedback systems in healthcare.

Authors:  Jung Yin Tsang; Niels Peek; Iain Buchan; Sabine N van der Veer; Benjamin Brown
Journal:  J Am Med Inform Assoc       Date:  2022-05-11       Impact factor: 7.942

  8 in total

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