Prenatal care content and utilization among pregnant women enrolled in managed care programs in Harris County, Texas

This research study was conducted as a descriptive study of prenatal care experiences of women enrolled in public and private managed care programs. The study's aim was to describe the demographic characteristics of the women in the study and to analyze and compare their prenatal care experiences. ^ The objective of this study was to examine the research question: Do pregnant women enrolled in Medicaid Managed Care receive the same level of care as women enrolled in other Managed Care Programs in Harris County, Texas? ^ The study population was a convenience sample of pregnant women enrolled in managed care programs who presented to one of the two hospital study sites for delivery of their infant. The study utilized a self administered survey to measure adequacy and content of prenatal care received by the women during this pregnancy. Adequacy of prenatal care utilization was determined based on the Kessner Index criteria of timing of initiation of care and number of visits. Content of care was measured by the number of different medical services the women reported they had received and the number of health information topics the women reported on which they had received information. Demographic characteristics were described with univariate and bivariate statistics of frequencies and cross tabulations. Associations were evaluated using measures of linear correlations. ^ Results from the study showed there is an association between enrollment in Medicaid Managed Care (public) and prenatal care received compared to women enrolled in other Managed Care Programs (private). The results were derived from statistical tests on data the postpartum women gave when they completed the self-administered survey. Provider type was a moderate predictor of quality and quantity of prenatal care. The results also indicate that in the study population, minority ethnicity, income and lower educational status were associated with intermediate and inadequate prenatal care. ^

Detecting genetic and nutritional lung cancer risk factors related to folate metabolism using Bayesian generalized linear models

Complex diseases, such as cancer, are caused by various genetic and environmental factors, and their interactions. Joint analysis of these factors and their interactions would increase the power to detect risk factors but is statistically. Bayesian generalized linear models using student-t prior distributions on coefficients, is a novel method to simultaneously analyze genetic factors, environmental factors, and interactions. I performed simulation studies using three different disease models and demonstrated that the variable selection performance of Bayesian generalized linear models is comparable to that of Bayesian stochastic search variable selection, an improved method for variable selection when compared to standard methods. I further evaluated the variable selection performance of Bayesian generalized linear models using different numbers of candidate covariates and different sample sizes, and provided a guideline for required sample size to achieve a high power of variable selection using Bayesian generalize linear models, considering different scales of number of candidate covariates. ^ Polymorphisms in folate metabolism genes and nutritional factors have been previously associated with lung cancer risk. In this study, I simultaneously analyzed 115 tag SNPs in folate metabolism genes, 14 nutritional factors, and all possible genetic-nutritional interactions from 1239 lung cancer cases and 1692 controls using Bayesian generalized linear models stratified by never, former, and current smoking status. SNPs in MTRR were significantly associated with lung cancer risk across never, former, and current smokers. In never smokers, three SNPs in TYMS and three gene-nutrient interactions, including an interaction between SHMT1 and vitamin B12, an interaction between MTRR and total fat intake, and an interaction between MTR and alcohol use, were also identified as associated with lung cancer risk. These lung cancer risk factors are worthy of further investigation.^