Colorectal Cancer Identification Methods Among Kansas Medicare Beneficiaries, 2008–2010

Details

• Journal Article:
  Preventing Chronic Disease (PCD)
• Personal Author:
  Lai, Sue-Min ; Jungk, Jessica ; Garimella, Sarma
• Description:
  Introduction ; Population-based data are limited on how often colorectal cancer (CRC) is identified through screening or surveillance in asymptomatic patients versus diagnostic workup for symptoms. We developed a process for assessing CRC identification methods among Medicare-linked CRC cases from a population-based cancer registry to assess identification methods (screening/surveillance or diagnostic) among Kansas Medicare beneficiaries. ; Methods ; New CRC cases diagnosed from 2008 through 2010 were identified from the Kansas Cancer Registry and matched to Medicare enrollment and claims files. CRC cases were classified as diagnostic-identified versus screening/surveillance-identified using a claims-based algorithm for determining CRC test indication. Factors associated with screening/surveillance-identified CRC were analyzed using logistic regression. ; Results ; Nineteen percent of CRC cases among Kansas Medicare beneficiaries were screening/surveillance-identified while 81% were diagnostic-identified. Younger age at diagnosis (65 to 74 years) was the only factor associated with having screening/surveillance-identified CRC in multivariable analysis. No association between rural/urban residence and identification method was noted. ; Conclusion ; Combining administrative claims data with population-based registry records can offer novel insights into patterns of CRC test use and identification methods among people diagnosed with CRC. These techniques could also be extended to other screen-detectable cancers.
• Subjects:
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Algorithms
  • Colonoscopy
  • Colorectal Neoplasms
  • Early Detection of Cancer
  • Ethnicity
  • Female
  • Humans
  More +
• Source:
  Prev Chronic Dis. 12.
• DOI:
  http://dx.doi.org/10.5888/pcd12.140543
• ISSN:
  1545-1151
• Pubmed ID:
  26160293
• Pubmed Central ID:
  PMC4509094
• Document Type:
  Journal Article
• Funding:
  U58/DP003889/DP/NCCDPHP CDC HHS/United States
• Corporate as Subject:
  SEER Program ; SEER Program
• Place as Subject:
  Kansas
• Location:
  North America
• Volume:
  12
• Download URL:
  https://stacks.cdc.gov/view/cdc/32388/cdc_32388_DS1.pdf
• File Type:
  [PDF - 310.84 KB]
• Collection(s):
  Preventing Chronic Disease
• Main Document Checksum:
  urn:sha-512:bea28be040f34c5401c2ea2d6539b1a5b41fe906fc2b446e6d689290d6056f92c986aaddcd0937715f8770f8ac05556d16edab7d9910c794098a5eb313e056cd