216 Background: Although colorectal cancer (CRC) screening with colonoscopy reduces the risk of CRC mortality, screening rates remain low among African Americans and low social economic status (SES) patients. However, few studies have assessed CRC screening rates in under-resourced hospital service areas. Using a granular measure of socioeconomic deprivation (SED), we examined the association between social determinants and CRC screening. Methods: We conducted a retrospective cohort study from 2014-2019 to identify primary care patients referred for CRC screening with colonoscopy at an academic hospital system. Patients were assessed at annual visits for completion of colonoscopy. SED was assessed using the area deprivation index (ADI), a composite measure of 17 SED indicators including income, housing, education, and employment at the census block group level. Other social determinants analyzed were race and insurance status. Frequency and multivariable logistic regression were used for statistical analysis. Results: 1040 patients met CRC screening guidelines and were referred for colonoscopy. 136 (13.1%) underwent colonoscopy in the follow-up period. High and low SED made up 655 (63%) and 77 (7.4%) of patients, respectively. SED, race, age, and sex were not associated with higher screening rates. Uninsured patients had a lower rate of screening. After controlling for other social determinants, uninsured patients had the lowest odds of colonoscopy (OR 0.28; 95% CI, 0.08-0.92). Conclusions: In this under-resourced hospital service area, receipt of colonoscopy for CRC screening is significantly lower than previously reported. Furthermore, screening rates were persistently low across strata of SED, race and insurance status, with uninsured patients having the lowest odds of screening. These data suggest that in an under-resourced hospital service area with extensive SED, further research is needed to understand the role of social determinants and behavioral factors to address disparities in CRC screening with colonoscopy. [Table: see text]
e18550 Background: Early detection through screening mammography has been shown to decrease breast cancer mortality. Screening mammography rates remains low among racial/ethnic minorities and patients with socioeconomic deprivation (SED). Most studies evaluating the role of area-level social determinants of health and breast cancer screening have included only a small number of variables; in this study, a comprehensive and granular measure of socioeconomic deprivation (SED) which included 17 variables was used to determine an association with screening mammogram completion. Methods: A retrospective cohort study was conducted at an academic hospital system between 2014-2020 to identify asymptomatic female patients who received screening mammogram referrals in their primary care clinic after they were deemed eligible per screening guidelines. Patients were assessed for mammogram completion at their annual visits. SED was evaluated using the area deprivation index (ADI), a measure of 17 variables including education, housing, and income at the census block group level. Other covariates analyzed were insurance status, age, and race. Chi-square test, Kruskal-Wallis test and a multivariate logistic regression model were used for statistical analysis. Results: 856 women were referred for screening mammography. 324 (38%) underwent mammogram. Patients with high, moderate, and low SED comprised 69 (8%), 287 (34%) and 500 (58%) of the cohort, respectively. In multivariable analysis, SED and race were not associated with higher screening rates. Uninsured and self-pay patients had the lowest odds of screening mammography completion (AOR 0.22; 95% 0.08, 0.60) and Medicare patients had decreased odds of mammogram completion relative to privately insured patients (AOR 0.64; 95% CI 0.43, 0.97). Older age was associated with a slightly higher odds of mammography completion (AOR 1.02; 95% CI 1.00, 1.04). Conclusions: The receipt of screening mammography was low among all patients relative to previously published rates. Uninsured/self-pay status was the strongest indicator for completion of mammography. Additional research is needed to understand the barriers that may influence mammography completion in this population with high socioeconomic deprivation. Multivariate Logistic Regression Estimates for Associations Between Mammogram Completion and SED category.[Table: see text]
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