4.4 Article

Determinants of Medical System Delay in the Diagnosis of Colorectal Cancer Within the Veteran Affairs Health System

Journal

DIGESTIVE DISEASES AND SCIENCES
Volume 55, Issue 5, Pages 1434-1441

Publisher

SPRINGER
DOI: 10.1007/s10620-010-1174-9

Keywords

Colorectal neoplasms; Diagnosis; Delay; Screening

Funding

  1. National Cancer Institute [U01 CA093344, 5 K24 DK002926]
  2. NCI [U01 CA093332, U01 CA093324, RAND/UCLA U01 CA093348, U01 CA093329, U01 CA. 01013, U01CA 093326]
  3. Department of Veteran's Affairs [CRS 02-164]
  4. VA Health Services Research and Development [RCD 03-174]

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The goals of this study are to evaluate determinants of the time in the medical system until a colorectal cancer diagnosis and to explore characteristics associated with stage at diagnosis. We examined medical records and survey data for 468 patients with colorectal cancer at 15 Veterans Affairs medical centers. Patients were classified as screen-detected, bleeding-detected, or other (resulting from the evaluation of another medical concern). Patients who presented emergently with obstruction or perforation were excluded. We used Cox proportional hazards models to determine predictors of time in the medical system until diagnosis. Logistic regression models were used to determine predictors of stage at diagnosis. We excluded 21 subjects who presented emergently, leaving 447 subjects; the mean age was 67 years and 98% were male, 66% Caucasian, and 43% stage I or II. Diagnosis was by screening for 39%, bleeding symptoms for 27%, and other for 34%. The median times to diagnosis were 73-91 days and were not significantly different by diagnostic category. In the multivariable model for time to diagnosis, older age, having comorbidities, and Atlantic region were associated with a longer time to diagnosis. In the multivariable model for stage-at-diagnosis, only the diagnostic category was associated with stage; the screen-detected category was associated with decreased risk of late-stage cancer. Our results point to several factors associated with a longer time from the initial clinical event until diagnosis. This increased time in the health care system did not clearly translate into more advanced disease at diagnosis.

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