Individual and Geospatial Characteristics Associated With Use and Nonuse of the Fecal Immunochemical Test (FIT) for Colorectal Cancer Screening in an Urban Minority Population.

PURPOSE

Initiatives by the Centers for Disease Control and Prevention as well as the National Colorectal Cancer Roundtable aim to increase the rate of colorectal cancer (CRC) screening. We assess individual and geographic characteristics associated fecal immunochemical test (FIT) CRC screening over 3 years.

METHODS

This is a retrospective study of 1500 FIT kits which were mailed or opportunistically handed to eligible participants in Brooklyn, New York from January 2014 to December 2016. Eligibility criteria included increased risk for colon cancer, uninsured or underinsured, and a minimum age of 50 years to warrant CRC screening. We looked at the association of individual demographic characteristics and FIT screening by logistic regression using SPPS version 23 software. In addition, using ArcGIS, we coded patients address and layered census tract population information to find associations.

RESULTS

In total, 1367 Cancer Services Participants met our study criteria. The study sample was predominantly female (95.2%) and minority (46% African American, 24.7% Hispanic, 17.3% Caucasian, 11.4% Asian) and on average 59 years old (SD, 5.7). A large majority (73%) had household incomes below $20,000/year. Approximately half (49.9%) of all Cancer Services Participants returned their FIT kit. In participants who did not return their FIT kit, the majority were African American (41%), followed by Hispanics (26.5%), Caucasians (20.6%), and Asians (11.8%). Multivariable logistic regression showed that a screening history of prior colonoscopy or FIT, gender, ethnicity, and educational attainment were significantly associated with FIT CRC screening uptake (P<0.05). Geospatial mapping showed clusters of low screening uptake in areas of high poverty. Hot-spot analysis identified areas of significant vulnerability.

CONCLUSIONS

FIT uptake remains suboptimal. Individual predictors as well as area poverty is associated with low screening uptake. Geospatial mapping is an effective tool for evaluating CRC screening uptake.