Literature DB >> 9771453

The effect of four interventions on the informational content of histopathology reports of resected colorectal carcinomas.

S S Cross1, K M Feeley, C A Angel.   

Abstract

AIM: To investigate the effect of different interventions on the inclusion of data items in the histopathology reports of resected colorectal carcinomas. STUDY POPULATION: 272 routine histopathology reports on colorectal carcinomas from the department of histopathology, Royal Hallamshire Hospital, Sheffield.
METHODS: The presence or absence of 10 specific data items was recorded for each report. The reports were divided into five audit periods. In the initial period reports were generated using free text with no agreed guidelines. In period 2, text guidelines had been issued; in period 3, flow diagram guidelines had been issued; and in periods 4 and 5, template proformas were attached to each specimen request form.
RESULTS: All interventions produced some increase in inclusion rate for some features, but only with the introduction of template proformas did these rates approach 100% for all data items. Inclusion rates were 100% for all items in all cases reported using a proforma. In the final audit period 96% of specimens were reported using proformas.
CONCLUSIONS: Template proformas produce a high rate of inclusion of data items in reports of colorectal carcinoma resection specimens.

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Mesh:

Year:  1998        PMID: 9771453      PMCID: PMC500757          DOI: 10.1136/jcp.51.6.481

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  5 in total

1.  Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions.

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2.  Is the informational content of histopathological reports increasing?

Authors:  S S Cross; A D Bull
Journal:  J Clin Pathol       Date:  1992-02       Impact factor: 3.411

3.  Evidence of effectiveness of clinical audit in improving histopathology reporting standards of mastectomy specimens.

Authors:  M A Appleton; A G Douglas-Jones; J M Morgan
Journal:  J Clin Pathol       Date:  1998-01       Impact factor: 3.411

4.  Artificial neural networks improve the accuracy of cancer survival prediction.

Authors:  H B Burke; P H Goodman; D B Rosen; D E Henson; J N Weinstein; F E Harrell; J R Marks; D P Winchester; D G Bostwick
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5.  Local recurrence of rectal adenocarcinoma due to inadequate surgical resection. Histopathological study of lateral tumour spread and surgical excision.

Authors:  P Quirke; P Durdey; M F Dixon; N S Williams
Journal:  Lancet       Date:  1986-11-01       Impact factor: 79.321

  5 in total
  20 in total

1.  Effect of using templates on the information included in histopathology reports on specimens of uterine cervix taken by loop excision of the transformation zone.

Authors:  W A Reid; A I al-Nafussi; G Rebello; A R Williams
Journal:  J Clin Pathol       Date:  1999-11       Impact factor: 3.411

2.  The use of a standard proforma in breast cancer reporting.

Authors:  E Wilson; R Feakins
Journal:  J Clin Pathol       Date:  2002-09       Impact factor: 3.411

3.  Health System-Level Factors Influence the Implementation of Complex Innovations in Cancer Care.

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5.  An international survey-based study on colorectal cancer pathology reporting-guidelines versus local practice.

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6.  Oesophageal and gastric cancer pathology reporting: a regional audit.

Authors:  S H Burroughs; A H Biffin; J K Pye; G T Williams
Journal:  J Clin Pathol       Date:  1999-06       Impact factor: 3.411

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9.  Lymph node harvests directly influence the staging of colorectal cancer: evidence from a regional audit.

Authors:  D F H Pheby; D F Levine; R W Pitcher; N A Shepherd
Journal:  J Clin Pathol       Date:  2004-01       Impact factor: 3.411

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Journal:  Am J Gastroenterol       Date:  2015-04-14       Impact factor: 10.864

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