A Novel Approach to Analyze Disparities in Colorectal Cancer Screening and Mortality

Introduction Reducing disparities in colorectal cancer (CRC) screening rates and mortality remains a priority. Mitigation strategies to reduce these disparities have largely been unsuccessful. The primary aim is to determine variables in models of healthcare utilization and their association with CRC screening and mortality in North Carolina. Methods A cross-sectional analysis of publicly available data across North Carolina using variable reduction techniques with clustering to evaluate association of CRC screening rates and mortality was performed. Results Three million sixty-five thousand five hundred thirty-seven residents (32.1%) were aged 50 y or more. More than two-thirds (68.8%) were White, while 20.5% were Black. Approximately 61% aged 50 y or more underwent CRC screening (range: 44.0%-80.5%) and had a CRC mortality of 44.8 per 100,000 (range 22.8 to 76.6 per 100,000). Cluster analysis identified two factors, designated social economic education index (factor 1) and rural provider index (factor 2) for inclusion in the multivariate analysis. CRC screening rates were associated with factor 1, consisting of socioeconomic and education variables, and factor 2, comprised of the number of providers per 10,000 individuals aged 50 y or more and rurality. An increase in both factors 1 and 2 by one point would result in an increase in CRC screening rated by 6.8%. CRC mortality was associated with factor 2. An increase in one point in factor 1 results in a decrease in mortality risk by 10.9%. Conclusions In North Carolina, using variable reduction with clustering, CRC screening rates were associated with the inter-relationship of the number of providers and rurality, while CRC mortality was associated with the inter-relationship of social, economic, and education variables.