Literature DB >> 19542408

Best ways to provide feedback to radiologists on mammography performance.

Erin J Aiello Bowles1, Berta M Geller.   

Abstract

OBJECTIVE: The Mammography Quality Standards Act of 1992 required a minimum performance audit of radiologists performing mammography. Since then, no studies have evaluated radiologists' perceptions of their audit reports, such as which performance measures are the most or least useful, or what the best formats are to present performance data.
MATERIALS AND METHODS: We conducted a qualitative study with focus groups and interviews of 25 radiologists currently practicing mammography. All radiologists practiced at one of three sites in the Breast Cancer Surveillance Consortium (BCSC). The discussion guide included open-ended questions to elicit opinions on the following subjects: the most useful performance outcome measures, examples of reports and formats that are easiest to understand (e.g., graphs or tables), thoughts about comparisons between individual-level and aggregate data, and ideas about additional performance measures they would find useful. All discussions were tape-recorded and transcribed. We developed a set of themes and used ethnographic software to qualitatively analyze and extract quotes from transcripts.
RESULTS: Radiologists thought that almost all performance measures were useful. They particularly liked seeing individual data presented in graphic form with a national benchmark or guideline for each performance measure clearly marked on the graph. They appreciated comparisons between their individual data and their peers' data (within their facility or state) and requested comparisons with national data (such as the BCSC). Many thought customizable, Web-based reports would be useful.
CONCLUSION: Radiologists think that most audit statistics are useful; however, presenting performance data graphically with clear benchmarks may make them easier to understand.

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Mesh:

Year:  2009        PMID: 19542408      PMCID: PMC2714544          DOI: 10.2214/AJR.08.2051

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


  16 in total

1.  A comparison between different formats of educational feedback to junior doctors: a prospective pilot intervention study.

Authors:  V G Hadjianastassiou; D Karadaglis; M Gavalas
Journal:  J R Coll Surg Edinb       Date:  2001-12

2.  Association of recall rates with sensitivity and positive predictive values of screening mammography.

Authors:  B C Yankaskas; R J Cleveland; M J Schell; R Kozar
Journal:  AJR Am J Roentgenol       Date:  2001-09       Impact factor: 3.959

3.  Data feedback efforts in quality improvement: lessons learned from US hospitals.

Authors:  E H Bradley; E S Holmboe; J A Mattera; S A Roumanis; M J Radford; H M Krumholz
Journal:  Qual Saf Health Care       Date:  2004-02

Review 4.  Does telling people what they have been doing change what they do? A systematic review of the effects of audit and feedback.

Authors:  Gro Jamtvedt; Jane M Young; Doris T Kristoffersen; Mary Ann O'Brien; Andrew D Oxman
Journal:  Qual Saf Health Care       Date:  2006-12

5.  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

Review 6.  Auditing your breast imaging practice: an evidence-based approach.

Authors:  Edward A Sickles
Journal:  Semin Roentgenol       Date:  2007-10       Impact factor: 0.800

7.  Family physicians' reactions to performance assessment feedback.

Authors:  Margo S Rowan; William Hogg; Carmel Martin; Eileen Vilis
Journal:  Can Fam Physician       Date:  2006-12       Impact factor: 3.275

8.  Improving quality improvement using achievable benchmarks for physician feedback: a randomized controlled trial.

Authors:  C I Kiefe; J J Allison; O D Williams; S D Person; M T Weaver; N W Weissman
Journal:  JAMA       Date:  2001-06-13       Impact factor: 56.272

9.  Performance of diagnostic mammography for women with signs or symptoms of breast cancer.

Authors:  William E Barlow; Constance D Lehman; Yingye Zheng; Rachel Ballard-Barbash; Bonnie C Yankaskas; Gary R Cutter; Patricia A Carney; Berta M Geller; Robert Rosenberg; Karla Kerlikowske; Donald L Weaver; Stephen H Taplin
Journal:  J Natl Cancer Inst       Date:  2002-08-07       Impact factor: 13.506

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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  6 in total

1.  Radiologists' attitudes and use of mammography audit reports.

Authors:  Joann G Elmore; Erin J Aiello Bowles; Berta Geller; Natalia Vukshich Oster; Patricia A Carney; Diana L Miglioretti; Diana S M Buist; Karla Kerlikowske; Edward A Sickles; Tracy Onega; Robert D Rosenberg; Bonnie C Yankaskas
Journal:  Acad Radiol       Date:  2010-06       Impact factor: 3.173

2.  Web-based mammography audit feedback.

Authors:  Berta M Geller; Laura Ichikawa; Diana L Miglioretti; David Eastman
Journal:  AJR Am J Roentgenol       Date:  2012-06       Impact factor: 3.959

3.  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

4.  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

5.  Feedback preferences of patients, professionals and health insurers in integrated head and neck cancer care.

Authors:  Lydia F J van Overveld; Robert P Takes; Thomas W Vijn; Jozé C C Braspenning; Jan P de Boer; John J A Brouns; Rolf J Bun; Boukje A C van Dijk; Judith A W F Dortmans; Emilie A C Dronkers; Robert J J van Es; Frank J P Hoebers; Arvid Kropveld; Johannes A Langendijk; Ton P M Langeveld; Sjoukje F Oosting; Hendrik P Verschuur; Jan G A M de Visscher; Stijn van Weert; Matthias A W Merkx; Ludi E Smeele; Rosella P M G Hermens
Journal:  Health Expect       Date:  2017-06-15       Impact factor: 3.377

6.  Clinical Performance Feedback Intervention Theory (CP-FIT): a new theory for designing, implementing, and evaluating feedback in health care based on a systematic review and meta-synthesis of qualitative research.

Authors:  Benjamin Brown; Wouter T Gude; Thomas Blakeman; Sabine N van der Veer; Noah Ivers; Jill J Francis; Fabiana Lorencatto; Justin Presseau; Niels Peek; Gavin Daker-White
Journal:  Implement Sci       Date:  2019-04-26       Impact factor: 7.327

  6 in total

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