Colorectal cancer screening in high-risk populations: a survey of cognition among medical professionals in Jiangsu, China

Asian Pac J Cancer Prev. 2014 Jan;14(11):6487-91. doi: 10.7314/apjcp.2013.14.11.6487.

Abstract

To investigate the cognition of medical professionals when following screening guidelines for colorectal cancer (CRC) and barriers to CRC screening. Between February 2012 and December 2012, an anonymous survey with 19-questions based on several CRC screening guidelines was randomly administered to gastroenterologists, oncologists, general surgeons, and general practitioners in Jiangsu, a developed area in China where the incidence of CRC is relatively high. The average cognitive score was 26.4% among 924 respondents. Gastroenterologists and oncologists had higher scores compared with others (p<0.01 and p<0.01, respectively); doctor of medicine (M.D.) with or without doctor of philosophy (Ph.D.) or holders with bachelor of medical science (BMS) achieved higher scores than other lower degree holders (P<0.05). More importantly, doctors who finished CRC related education in the past year achieved higher scores than the others (p<0.001). The most commonly listed barriers to referring high-risk patients for CRC screening were "anxiety about colonoscopy without anesthesia", "lack of awareness of the current guidelines" and "lack of insurance reimbursement. " Lack of cognition was detected among doctors when following CRC screening guidelines for high-risk populations. Educational programs should be recommended to improve their cognition and reduce barriers to CRC screening.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • China / epidemiology
  • Cognition*
  • Colonoscopy
  • Colorectal Neoplasms / diagnosis
  • Colorectal Neoplasms / epidemiology
  • Colorectal Neoplasms / psychology*
  • Early Detection of Cancer*
  • Female
  • Guideline Adherence*
  • Health Care Surveys*
  • Humans
  • Male
  • Middle Aged
  • Occult Blood
  • Practice Patterns, Physicians' / statistics & numerical data*
  • Prognosis
  • Risk Factors
  • Surveys and Questionnaires