David J Restrepo1, Daniel Boczar1, Maria T Huayllani1, Andrea Sisti1, Emmanuel Gabriel2, Sarah A McLaughlin2, Sanjay Bagaria2, Aaron C Spaulding3, Brian D Rinker1, Antonio J Forte4. 1. Division of Plastic Surgery and Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL, U.S.A. 2. Department of Surgery, Mayo Clinic, Jacksonville, FL, U.S.A. 3. Department of Health Science Research, Mayo Clinic, Jacksonville, FL, U.S.A. 4. Division of Plastic Surgery and Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL, U.S.A. ajvforte@yahoo.com.br.
Abstract
BACKGROUND/AIM: The aim of this study was to analyze how race, income, insurance, and education, affect breast reconstruction rates. MATERIALS AND METHODS: We reviewed the National Cancer Database. χ2 test and binary logistic regression were used to analyze the association between demographic characteristics and reconstruction rate. RESULTS: White race and private insurance were associated with a higher risk of getting reconstruction when compared to black race (odd ratio [OR]=0.939; 95%CI=0.909-0.970) and government insurance (OR=0.459; 95%CI=0.447-0.471). Patients with an estimated income >$63,000 were found to have higher odds of receiving breast reconstruction than patients with income less than $38,000 (OR=1.868; 95%CI=1.792-1.948). Patients who live in a zip code area with a higher education average have higher odds of receiving postmastectomy breast reconstruction than patients living in a zip code with a lower education average (OR=1.152, 95%CI=1.104-1.203). CONCLUSION: Differences in reconstruction rates exist based on race, income, insurance, and education level. Copyright
BACKGROUND/AIM: The aim of this study was to analyze how race, income, insurance, and education, affect breast reconstruction rates. MATERIALS AND METHODS: We reviewed the National Cancer Database. χ2 test and binary logistic regression were used to analyze the association between demographic characteristics and reconstruction rate. RESULTS: White race and private insurance were associated with a higher risk of getting reconstruction when compared to black race (odd ratio [OR]=0.939; 95%CI=0.909-0.970) and government insurance (OR=0.459; 95%CI=0.447-0.471). Patients with an estimated income >$63,000 were found to have higher odds of receiving breast reconstruction than patients with income less than $38,000 (OR=1.868; 95%CI=1.792-1.948). Patients who live in a zip code area with a higher education average have higher odds of receiving postmastectomy breast reconstruction than patients living in a zip code with a lower education average (OR=1.152, 95%CI=1.104-1.203). CONCLUSION: Differences in reconstruction rates exist based on race, income, insurance, and education level. Copyright
Authors: Chandler S Cortina; Carmen R Bergom; Julie Kijack; Abigail A Thorgerson; Chiang-Ching Spencer Huang; Amanda L Kong Journal: Surgery Date: 2021-04-20 Impact factor: 4.348
Authors: David J Restrepo; Maria T Huayllani; Daniel Boczar; Andrea Sisti; Minh-Doan T Nguyen; Jordan J Cochuyt; Aaron C Spaulding; Brian D Rinker; Galen Perdikis; Antonio J Forte Journal: Medicina (Kaunas) Date: 2020-06-08 Impact factor: 2.430