Predictors of Support for Genetic Sickle Cell Services in North Texas
Dr. Jackson de Carvalho, Dr. Felix O. Chima

Abstract
The purpose of this research study was to identify determinants of Support for Genetic Sickle Cell Services (SSCS) in north Texas. Secondary data was used to generate a subset data file collected from 2004 to 2008, targeting a random stratified sampling of n=400. Descriptive statistics and inferential analytical techniques were used to further explore the data set and allow for a better understanding of the study participants and their responses. The findings of the study indicated that Reproductive Age was the strongest predictor of SSCS. The identification of these predictors provides clear direction for the development and implementation of programs designed to increase awareness about sickle cell disease/trait and genetic inheritance patterns.

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