• DocumentCode
    710768
  • Title

    Monitoring quality indicators for screening colonoscopies

  • Author

    Charles, Malcolm ; Miano, Thomas N. ; Xinhe Zhang ; Barnes, Laura E. ; Lobo, Jennifer M.

  • Author_Institution
    Univ. of Virginia, Charlottesville, VA, USA
  • fYear
    2015
  • fDate
    24-24 April 2015
  • Firstpage
    171
  • Lastpage
    175
  • Abstract
    The detection rate of adenomas in screening colonoscopies is an important quality indicator for endoscopists. Successful detection of adenomas is linked to reduced cancer incidence and mortality. This study focuses on evaluating the performance of endoscopists on adenoma detection rate (ADR), polyp detection rate (PDR), and scope withdrawal time. The substitution of PDR for ADR has been suggested due the reliance of ADR calculation on pathology reports. We compare these metrics to established clinical guidelines and to the performance of other individual endoscopists. Our analysis (n = 2730 screening colonoscopies) found variation in ADR for 14 endoscopists, ranging from 0.20 to 0.41. PDR ranged from 0.38 to 0.62. Controlling for age, sex, race, withdrawal time, and the presence of a trainee endoscopist accounted for 34% of variation in PDR but failed to account for any variation in ADR. The Pearson correlation between PDR and ADR is 0.82. These results suggest that PDR has significant value as a quality indicator. The reported variation in detection rates after controlling for case mix signals the need for greater scrutiny of individual endoscopist skill. Understanding the root cause of this variation could potentially lead to better patient outcomes.
  • Keywords
    cancer; endoscopes; medical image processing; object detection; ADR; PDR; Pearson correlation; adenomas detection rate; cancer incidence; cancer mortality; clinical guidelines; endoscopists; pathology reports; polyp detection rate; quality indicator monitoring; screening colonoscopies; Cancer; Colonoscopy; Endoscopes; Guidelines; Logistics; Measurement; Predictive models; Colonoscopy; Electronic Medical Records; Health Data; Machine Learning; Physician Performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Information Engineering Design Symposium (SIEDS), 2015
  • Conference_Location
    Charlottesville, VA
  • Print_ISBN
    978-1-4799-1831-7
  • Type

    conf

  • DOI
    10.1109/SIEDS.2015.7116968
  • Filename
    7116968