Literature DB >> 17411521

RADPEER quality assurance program: a multifacility study of interpretive disagreement rates.

James P Borgstede1, Rebecca S Lewis, Mythreyi Bhargavan, Jonathan H Sunshine.   

Abstract

PURPOSE: To develop and test a radiology peer review system that adds minimally to workload, is confidential, uniform across practices, and provides useful information to meet the mandate for "evaluation of performance in practice" that is forthcoming from the American Board of Medical Specialties as one of the four elements of maintenance of certification.
METHOD: RADPEER has radiologists who review previous images as part of a new interpretation record their ratings of the previous interpretations on a 4-point scale. Reviewing radiologists' ratings of 3 and 4 (disagreements in nondifficult cases) are reviewed by a peer review committee in each practice to judge whether they are misinterpretations by the original radiologists. Final ratings are sent for central data entry and analysis. A pilot test of RADPEER was conducted in 2002.
RESULTS: Fourteen facilities participated in the pilot test, submitting a total of 20,286 cases. Disagreements in difficult cases (ratings of 2) averaged 2.9% of all cases. Committee-validated misinterpretations in nondifficult cases averaged 0.8% of all cases. There were considerable differences by modality. There were substantial differences across facilities; few of these differences were explicable by mix of modalities, facility size or type, or being early or late in the pilot test. Of 31 radiologists who interpreted over 200 cases, 2 had misinterpretation rates significantly (P < .05) above what would be expected given their individual mix of modalities and the average misinterpretation rate for each modality in their practice.
CONCLUSIONS: A substantial number of facilities participated in the pilot test, and all maintained their participation throughout the year. Data generated are useful for the peer review of individual radiologists and for showing differences by modality. RADPEER is now operational and is a good solution to the need for a peer review system with the desirable characteristics listed above.

Mesh:

Year:  2004        PMID: 17411521     DOI: 10.1016/S1546-1440(03)00002-4

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  33 in total

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Authors:  L S Babiarz; D M Yousem
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2.  Diagnostic errors in pediatric radiology.

Authors:  George A Taylor; Stephan D Voss; Patrice R Melvin; Dionne A Graham
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3.  Errors in medicine and errors in laboratory medicine: what is the difference?

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Journal:  Blood Transfus       Date:  2010-04       Impact factor: 3.443

4.  Quality control in neuroradiology: impact of trainees on discrepancy rates.

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5.  A data-driven approach for quality assessment of radiologic interpretations.

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6.  Radiological error: analysis, standard setting, targeted instruction and teamworking.

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Journal:  Eur Radiol       Date:  2005-02-23       Impact factor: 5.315

7.  Interrater variation in scoring radiological discrepancies.

Authors:  B Mucci; H Murray; A Downie; K Osborne
Journal:  Br J Radiol       Date:  2013-07-05       Impact factor: 3.039

8.  Frequency and cause of disagreements in diagnoses for fetuses referred for ventriculomegaly.

Authors:  Deborah Levine; Henry A Feldman; João F Kazan Tannus; Judy A Estroff; Melissa Magnino; Caroline D Robson; Tina Y Poussaint; Carol E Barnewolt; Tejas S Mehta; Richard L Robertson
Journal:  Radiology       Date:  2008-05       Impact factor: 11.105

Review 9.  Pitfalls in pediatric radiology.

Authors:  Dawn R Engelkemier; George A Taylor
Journal:  Pediatr Radiol       Date:  2014-12-18

Review 10.  Errors in neuroradiology.

Authors:  Ferdinando Caranci; Enrico Tedeschi; Giuseppe Leone; Alfonso Reginelli; Gianluca Gatta; Antonio Pinto; Ettore Squillaci; Francesco Briganti; Luca Brunese
Journal:  Radiol Med       Date:  2015-07-17       Impact factor: 3.469

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