Education Academy Logo
Journal Logo

Conference Abstracts

Vol. 4, Issue Supplement 1, 2024 · S1-2

Mobile Screening Mammogram Program Serves Vulnerable Population

Submission received: 2024-04-20 / Published: 2024-04-30

CCBY-SA-4.0
Publication: IJCCDhttps://doi.org/10.53876/001c.116809
0

BACKGROUND

The University of Tennessee Medical Center's (UTMC) Breast Health Outreach Program (BHOP) provides mobile mammography breast cancer screening to its 21-county service area. Desiring reductions to barriers for appropriate screening, BHOP utilization is regardless of a woman's insurance status. Hypothesis: there is a difference between insured/uninsured women. Eight variables (see table) were analyzed including counties with stationary mammography equipment (SME).

METHODS

Data was collected from the UTMC's BHOP mammography screenings' prospectively maintained database from 2008-2022 (n=44,156). The statistical analysis methods included frequencies, cross-tabulation tables, chi-square, unadjusted odds ratios (OR) with 95% confidence intervals and logistic regression. Statistical analysis was performed using SPSS Version 29.

RESULTS

Of women screened on the MMU, 36,643 (83.0%) were insured while 7,513 (17.0%) were uninsured. Uninsured had significantly higher odds of abnormal results (OR=1.20, 95% CI 1.05–1.37, p=0.006), first mammogram encounter (OR=2.37, 95% CI 2.18-2.56, p<0.001), minority race/ethnicity status (OR=3.08, 95% CI 2.88-3.30, p<0.001), living in a rural county (OR=1.43, 95% CI 1.36-1.50, p<0.001), and greater than 1 year since their last mammogram (ORs ranging from 1.20-3.57 for increasing time, p<0.001). After age 50, the odds of being uninsured decreased significantly (ORs ranging from 0.91 to 0.04, p<0.001). Uninsured had significantly less odds of being married (OR=1.47, 95% CI 1.40-1.55, p<0.001), or living in a county with SME (OR=2.18, 95% CI 2.04-2.33, p<0.001).

Comparison of demographic and clinical variables between uninsured and insured women screened in mobile mammography program

View table

CONCLUSIONS

Analysis showed that uninsured women are less likely to receive screenings at frequent intervals, have abnormal findings, not receive previous mammograms, live in a rural county, and not live in a county with SME. After age 50, the odds of being uninsured decrease. Uninsured are more likely to not be married, and a minority. This data leads us to recommend targeting uninsured women.