Literature DB >> 16683874

Medicolegal aspects of error in pathology.

David B Troxel1.   

Abstract

OBJECTIVE: To discuss the various ways error is defined in surgical pathology. To identify errors in pathology practice identified by an analysis of pathology malpractice claims.
DESIGN: Three hundred seventy-eight pathology malpractice claims were reviewed. Nuisance claims and autopsy claims were excluded; 335 pathology claims remained and were analyzed to identify repetitive patterns of specimen type and diagnostic category.
SETTING: All pathology malpractice claims reported to The Doctors Company of Napa, Calif, between 1998 and 2003.
RESULTS: Fifty-seven percent of malpractice claims involved just 5 categories of specimen type and/or diagnostic error, namely, breast specimens, melanoma, cervical Papanicolaou tests, gynecologic specimens, and system (operational) errors. Sixty-three percent of claims involved failure to diagnose cancer, resulting in delay in diagnosis or inappropriate treatment.
CONCLUSION: A false-negative diagnosis of melanoma was the single most common reason for filing a malpractice claim against a pathologist. Nearly one third involved melanoma misdiagnosed as Spitz nevus, "dysplastic" nevus, spindle cell squamous carcinoma, atypical fibroxanthoma, and dermatofibroma. While breast biopsy claims were a close second to melanoma, when combined with breast fine-needle aspiration and breast frozen section claims, breast specimens were the most common cause of pathology malpractice claims. Cervical Papanicolaou test claims were third in frequency behind melanoma and breast; 98% involved false-negative Papanicolaou tests. Forty-two percent of gynecologic surgical pathology claims involved misdiagnosed ovarian tumors, and 85% of these were false-negative diagnoses of malignancy. The most common cause of system errors was specimen "mix-ups" involving breast or prostate needle biopsies.

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Year:  2006        PMID: 16683874     DOI: 10.5858/2006-130-617-MAOEIP

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  17 in total

Review 1.  The efficient operation of the surgical pathology gross room.

Authors:  W C Bell; E S Young; P E Billings; W E Grizzle
Journal:  Biotech Histochem       Date:  2008-04       Impact factor: 1.718

2.  How trustworthy is a diagnosis in head and neck surgical pathology? A consideration of diagnostic discrepancies (errors).

Authors:  Julia A Woolgar; Alfio Ferlito; Kenneth O Devaney; Alessandra Rinaldo; Leon Barnes
Journal:  Eur Arch Otorhinolaryngol       Date:  2011-02-22       Impact factor: 2.503

3.  DEK expression in melanocytic lesions.

Authors:  Ferdinand Kappes; Michael S Khodadoust; Limin Yu; David S L Kim; Douglas R Fullen; David M Markovitz; Linglei Ma
Journal:  Hum Pathol       Date:  2011-02-11       Impact factor: 3.466

4.  Image and statistical analysis of melanocytic histology.

Authors:  Jayson Miedema; James Stephen Marron; Marc Niethammer; David Borland; John Woosley; Jason Coposky; Susan Wei; Howard Reisner; Nancy E Thomas
Journal:  Histopathology       Date:  2012-06-11       Impact factor: 5.087

5.  Specimen Identification Errors in Breast Biopsies: Age Matters. Report of Two Near-Miss Events and Review of the Literature.

Authors:  Gary Tozbikian; Mary L Gemignani; Edi Brogi
Journal:  Breast J       Date:  2017-03-16       Impact factor: 2.431

Review 6.  Through the looking glass and what you find there: making sense of comparative genomic hybridization and fluorescence in situ hybridization for melanoma diagnosis.

Authors:  Jayson Miedema; Aleodor A Andea
Journal:  Mod Pathol       Date:  2020-02-17       Impact factor: 7.842

7.  Rational error in internal medicine.

Authors:  Giovanni Federspil; Roberto Vettor
Journal:  Intern Emerg Med       Date:  2008-02-19       Impact factor: 3.397

Review 8.  Melanocytic nevi simulant of melanoma with medicolegal relevance.

Authors:  Guido Massi
Journal:  Virchows Arch       Date:  2007-07-26       Impact factor: 4.064

9.  METACOGNITIVE SCAFFOLDS IMPROVE SELF-JUDGMENTS OF ACCURACY IN A MEDICAL INTELLIGENT TUTORING SYSTEM.

Authors:  Reza Feyzi-Behnagh; Roger Azevedo; Elizabeth Legowski; Kayse Reitmeyer; Eugene Tseytlin; Rebecca S Crowley
Journal:  Instr Sci       Date:  2014-03

10.  Malpractice and Patient Safety Concerns.

Authors:  Lisa M Reisch; Martiniano J Flores; Andrea C Radick; Hannah L Shucard; Kathleen F Kerr; Michael W Piepkorn; Raymond L Barnhill; David E Elder; Stevan R Knezevich; Joann G Elmore
Journal:  Am J Clin Pathol       Date:  2020-10-13       Impact factor: 2.493

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