Abstract

Access to health care in the United States remains greatly disproportionate across socioeconomic groups. It is not known, however, whether the disparities between the socioeconomic categories are increasing or decreasing. This analysis used a well-established non-parametric technique, employing time-varying coefficient models applied to data from the 1993 to 2009 US Behavioral Risk Factor Surveillance System (BRFSS). The analysis was able to show the changes in the odds ratios of having no health insurance plan for variables of interest over time, therefore highlighting the changes in the disparities between the categories of a variable over time. While other studies have attempted to show the changes in health insurance coverage by socioeconomic groups in different time periods, there is no study to date that has shown these changes as a smooth function with time, therefore providing a clearer picture of the changes in these disparities. The results of this analysis show, for instance, that when compared with individuals with a college education or greater, those with less than a high school education showed a steady increase in the odds ratios for having no health insurance. The same trend seems applicable although in a less-clear way to Hispanics and Non-Hispanic black race-ethnicities, compared with non-Hispanic whites (the reference race category). As measures of the Affordable Care Act are being gradually implemented, studies are needed to provide baseline information about health care access disparity, in order to gauge any changes in health care access over time; BRFSS can be a useful data source in accomplishing this task.

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