Literature DB >> 16416737

Comparison of disagreement and error rates for three types of interdepartmental consultations.

Andrew A Renshaw1, Edwin W Gould.   

Abstract

Previous studies have documented a relatively high rate of disagreement for interdepartmental consultations, but follow-up is limited. We reviewed the results of 3 types of interdepartmental consultations in our hospital during a 2-year period, including 328 incoming, 928 pathologist-generated outgoing, and 227 patient- or clinician-generated outgoing consults. The disagreement rate was significantly higher for incoming consults (10.7%) than for outgoing pathologist-generated consults (5.9%) (P = .06). Disagreement rates for outgoing patient- or clinician-generated consults were not significantly different from either other type (7.9%). Additional consultation, biopsy, or testing follow-up was available for 19 (54%) of 35, 14 (25%) of 55, and 6 (33%) of 18 incoming, outgoing pathologist-generated, and outgoing patient- or clinician-generated consults with disagreements, respectively; the percentage of errors varied widely (15/19 [79%], 8/14 [57%], and 2/6 [33%], respectively), but differences were not significant (P >.05 for each). Review of the individual errors revealed specific diagnostic areas in which improvement in performance might be made. Disagreement rates for interdepartmental consultation ranged from 5.9% to 10.7%, but only 33% to 79% represented errors. Additional consultation, tissue, and testing results can aid in distinguishing disagreements from errors.

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Year:  2005        PMID: 16416737

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  1 in total

1.  A framework for evaluating diagnostic discordance in pathology discovered during research studies.

Authors:  Sherry Feng; Donald L Weaver; Patricia A Carney; Lisa M Reisch; Berta M Geller; Andrew Goodwin; Mara H Rendi; Tracy Onega; Kim H Allison; Anna N A Tosteson; Heidi D Nelson; Gary Longton; Margaret Pepe; Joann G Elmore
Journal:  Arch Pathol Lab Med       Date:  2014-07       Impact factor: 5.534

  1 in total

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