Skip to main content
Journal of Clinical Pathology logoLink to Journal of Clinical Pathology
. 1998 Jun;51(6):481–482. doi: 10.1136/jcp.51.6.481

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

S S Cross 1, K M Feeley 1, C A Angel 1
PMCID: PMC500757  PMID: 9771453

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.

Full text

PDF
481

Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Appleton M. A., Douglas-Jones A. G., Morgan J. M. Evidence of effectiveness of clinical audit in improving histopathology reporting standards of mastectomy specimens. J Clin Pathol. 1998 Jan;51(1):30–33. doi: 10.1136/jcp.51.1.30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Bottaci L., Drew P. J., Hartley J. E., Hadfield M. B., Farouk R., Lee P. W., Macintyre I. M., Duthie G. S., Monson J. R. Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions. Lancet. 1997 Aug 16;350(9076):469–472. doi: 10.1016/S0140-6736(96)11196-X. [DOI] [PubMed] [Google Scholar]
  3. Burke H. B., Goodman P. H., Rosen D. B., Henson D. E., Weinstein J. N., Harrell F. E., Jr, Marks J. R., Winchester D. P., Bostwick D. G. Artificial neural networks improve the accuracy of cancer survival prediction. Cancer. 1997 Feb 15;79(4):857–862. doi: 10.1002/(sici)1097-0142(19970215)79:4<857::aid-cncr24>3.0.co;2-y. [DOI] [PubMed] [Google Scholar]
  4. Cross S. S., Bull A. D. Is the informational content of histopathological reports increasing? J Clin Pathol. 1992 Feb;45(2):179–180. doi: 10.1136/jcp.45.2.179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Quirke P., Durdey P., Dixon M. F., Williams N. S. Local recurrence of rectal adenocarcinoma due to inadequate surgical resection. Histopathological study of lateral tumour spread and surgical excision. Lancet. 1986 Nov 1;2(8514):996–999. doi: 10.1016/s0140-6736(86)92612-7. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Clinical Pathology are provided here courtesy of BMJ Publishing Group

RESOURCES