Methods
Maternal and neonatal de-identified data was obtained from the SC Department of Health and Environmental Control (DHEC) for all known HIV-infected women delivering in SC from 2004-2014. These data included maternal county of residence, delivery, and county of HIV diagnosis. Counties were defined as rural if their total population was < 50,000 according to the 2010 US census. The 46 counties of SC were divided into four perinatal regions designated by proximity to one of four level 3 NICUs. These regions are referred to as the Lowcountry (8 counties), Peedee (8), Midlands (16), and Peidmont (14). Statistical analysis was performed using SAS 9.4 (Cary, NC). Continuous variables were compared with Student’s t-test and Wilcoxon Rank Sum Tests. Categorical variables were compared using χ2 test and Fisher’s exact test.
Methods
Maternal and neonatal de-identified data was obtained from the SC Department of Health and Environmental Control (DHEC) for all known HIV-infected women delivering in SC from 2004-2014. These data included maternal county of residence, delivery, and county of HIV diagnosis. Counties were defined as rural if their total population was < 50,000 according to the 2010 US census. The 46 counties of SC were divided into four perinatal regions designated by proximity to one of four level 3 NICUs. These regions are referred to as the Lowcountry (8 counties), Peedee (8), Midlands (16), and Peidmont (14). Statistical analysis was performed using SAS 9.4 (Cary, NC). Continuous variables were compared with Student’s t-test and Wilcoxon Rank Sum Tests. Categorical variables were compared using χ2 test and Fisher’s exact test.