Literature DB >> 6585578

Accuracy of basic cancer patient data: results from an extensive recoding survey.

L Polissar, P Feigl, W W Lane, G Glaefke, S Dahlberg.   

Abstract

The accuracy of data coded from the medical records of 985 patients from 22 major U.S. cancer centers was checked by recoding during 1978-81. The 29 items covered demographics, diagnosis, and therapy. Original codes were compared to recodes, and disagreements were classified as major or minor. The highest rate of major disagreements, 23%, was for stage of disease, followed by 10% for histology and 7% for site. Major disagreement rates for most other items were under 7%. Only 3% of a large sample of major disagreements involved justifiable differences in interpretation; the others were due to errors in the use of records. Major disagreement rates varied by a factor of 10 across sites, 4 across centers, and 2 across stage of disease. For several items the code "unknown" was overused and led to disagreements. A new procedure is presented for analysis of disagreement rates. The results from this procedure can guide training effort to improve coding accuracy.

Entities:  

Mesh:

Year:  1984        PMID: 6585578

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  5 in total

1.  Quality control of birth defect registry data: a case study.

Authors:  J Schulman; J A Hahn
Journal:  Public Health Rep       Date:  1993 Jan-Feb       Impact factor: 2.792

2.  Registration of lung cancer in Scotland: an assessment of data accuracy based on review of medical records.

Authors:  D Brewster; C Muir; J Crichton
Journal:  Cancer Causes Control       Date:  1995-07       Impact factor: 2.506

3.  The accuracy of prostate cancer staging in a population-based tumor registry and its impact on the black-white stage difference (Connecticut, United States).

Authors:  W L Liu; S Kasl; J T Flannery; A Lindo; R Dubrow
Journal:  Cancer Causes Control       Date:  1995-09       Impact factor: 2.506

Review 4.  Improving the quality of cancer registration data.

Authors:  D Brewster
Journal:  J R Soc Med       Date:  1995-05       Impact factor: 5.344

5.  How accurate are Scottish cancer registration data?

Authors:  D Brewster; J Crichton; C Muir
Journal:  Br J Cancer       Date:  1994-11       Impact factor: 7.640

  5 in total

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