Literature DB >> 28028116

Measures of Completeness and Accuracy of Clinical Information in Skin Biopsy Requisition Forms: An Analysis of 249 Cases.

Ryan C Romano1, Paul J Novotny2, Jeff A Sloan2, Nneka I Comfere1,3.   

Abstract

OBJECTIVES: To define indices of completeness and accuracy of clinical information in the skin biopsy requisition form (RF) and correlate them with health care delivery outcomes and pathology service utilization.
METHODS: RFs in our pathology information system were reviewed and assessed for the presence of 10 clinical elements considered critical for dermatopathologic diagnosis. Accuracy was determined by reviewing corresponding clinical notes.
RESULTS: In total, 249 RFs were reviewed. In inflammatory dermatoses, provision of a clinical impression, provision of more than two elements, and achieving more than 75% accuracy were associated with improved outcomes and decreased utilization. For all nonlymphoproliferative cases, higher quality clinical information was associated with decreased turnaround time (P < .001). More clinical information was associated with increased utilization and turnaround time (P = .0235) for lymphoproliferative cases and higher resampling rates for melanocytic lesions (P = .0066).
CONCLUSIONS: In inflammatory dermatoses, providing high-quality clinical information on the RF promotes optimal histopathologic diagnostic performance and appropriate pathology service utilization. © American Society for Clinical Pathology, 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Dermatopathology; Requisition form; Skin biopsy requisition form; Utilization

Mesh:

Year:  2016        PMID: 28028116     DOI: 10.1093/ajcp/aqw186

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


  3 in total

1.  Molecular pathology testing for non-small cell lung cancer: an observational study of elements currently present in request forms and result reports and the opinion of different stakeholders.

Authors:  Kelly Dufraing; Kaat Van Casteren; Joke Breyne; Nicky D'Haene; Claude Van Campenhout; Sara Vander Borght; Karen Zwaenepoel; Etienne Rouleau; Ed Schuuring; Jan von der Thüsen; Elisabeth Dequeker
Journal:  BMC Cancer       Date:  2022-07-06       Impact factor: 4.638

2.  Clinicopathological concordance in the diagnosis of skin diseases: a retrospective analysis of 5000 histopathology reports.

Authors:  Fahad Mohammed Al-Saif; Salman Abdulaziz Binsufayan; Abdulaziz Hasan Alhussain; Tuqa Morad Alkaff; Hesham Mohammed Alshaikh; Mosfer Saeed Aldosari; Saud Abdulaziz Binsufayan; Rawan Murshed AlTaleb; Hend Metia Alotaibi; Mohammed Abdulaziz Alshahwan
Journal:  Ann Saudi Med       Date:  2019-12-05       Impact factor: 1.526

3.  Evaluation of a Probability-Based Predictive Tool on Pathologist Agreement Using Urinary Bladder as a Pilot Tissue.

Authors:  Emily Jones; Solomon Woldeyohannes; Fernanda Castillo-Alcala; Brandon N Lillie; Mee-Ja M Sula; Helen Owen; John Alawneh; Rachel Allavena
Journal:  Vet Sci       Date:  2022-07-18
  3 in total

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