Publications, Department of Health Administration and Policy
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Item Family structure and children’s unmet health-care needs(Journal of Child Health Care, 2018) Irvin, Katherine; Fahim, Farhan; Alshehri, Saeed; Kitsantas, PanagiotaThis study assessed children’s unmet health-care needs within different family types (two-parent biological/adoptive, two-parent stepfamily, and single-mother family type) using data from the 2011/2012 National Survey of Children’s Health. Findings indicate that 10.4% of children in single-mother family types had unmet health-care needs compared to 8.7% of children from a two-parent stepfamily and 5.3% for those from two-parent biological/adoptive families. Further analyses revealed racial/ethnic disparities with Black children from two parent-biological/adoptive families being 1.54 (95% confidence interval 1.13, 2.05) times more likely to have unmet health-care needs, while Hispanic children were less likely to have unmet health-care needs relative to their white counterparts. Children from lower income two-parent families had a higher likelihood of unmet health-care needs. The noncontinuous insurance coverage was a risk factor for increasing unmet health-care needs across all three different family types. These findings show major differences in unmet health-care needs among children living in different family structure types. It is recommended that interventions for increasing access to care need to be tailored differently across various family types in order to achieve continuous and sufficient health-care services for our children.Item The impact of demographic and perceptual variables on a young adult’s decision to be covered by private health insurance(BioMed Central, 2015-05-12) Cantiello, John; Fottler, Myron D.; Oetjen, Dawn; Zhang, Ning JackieBackground. The large number of uninsured individuals in the United States creates negative consequences for those who are uninsured and for those who are covered by health insurance plans. Young adults between the ages of 18 and 24 are the largest uninsured population subgroup. This subgroup warrants analysis. The major aim of this study is to determine why young adults between the ages of 18 and 24 are the largest uninsured population subgroup. Methods. The present study seeks to determine why young adults between the ages of 18 and 24 are the largest population subgroup that is not covered by private health insurance. Data on perceived health status, perceived need, perceived value, socioeconomic status, gender, and race was obtained from a national sample of 1,340 young adults from the 2005 Medical Expenditure Panel Survey and examined for possible explanatory variables, as well as data on the same variables from a national sample of 1,463 from the 2008 Medical Expenditure Panel Survey. Results. Results of the structural equation model analysis indicate that insurance coverage in the 2005 sample was largely a function of higher socioeconomic status and being a non-minority. Perceived health status, perceived need, perceived value, and gender were not significant predictors of private health insurance coverage in the 2005 sample. However, in the 2008 sample, these indicators changed. Socioeconomic status, minority status, perceived health, perceived need, and perceived value were significant predictors of private health insurance coverage. Conclusions. The results of this study show that coverage by a private health insurance plan in the 2005 sample was largely a matter of having a higher socioeconomic status and having a non-minority status. In 2008 each of the attitudinal variables (perceived health, perceived value, and perceived need) predicted whether subjects carried private insurance. Our findings suggest that among those sampled, the young adult subgroup between the ages of 18 and 24 does not necessarily represent a unique segment of the population, with behaviors differing from the rest of the sample.Item An Evaluation Synthesis of US AIDS Drug Assistance Program Policy(Scientific Research, 2013-06) Horneffer, Michael A.; Yang, Y. TonyUS Congress passed the CARE Act in 1990 in response to a dramatically growing need for resources to combat the AIDS epidemic. One of the programs contained in the Act was the AIDS Drug Assistance Program (ADAP), a federally-funded but state-maintained and managed program primarily concerned with providing medication for low-income HIV/AIDS patients. While ADAP programs across the country reached one-third of all patients in 2007, these programs are now in budgetary danger due to the economic recession, state budgetary constraints, the rising cost of healthcare generally, and longer life expectancies associated with current highly active antiretroviral therapy (HAART). This paper first evaluates the current state of ADAP, its strengths and weaknesses, and examines its sustainability in the short term if short-term measures are taken. Concluding that such measures would not lead to long-term sustainability, this paper then argues for a long-term solution to ADAP’s current problems, namely a national, centralized ADAP standard for budgetary and administrative matters. Such a program would increase the long-term sustainability and effectiveness of current ADAP programs by employing more efficient, standard policies and allowing larger, wholesale purchases of costly HAART medications. Moreover, a national policy would address the disparity that currently exists in ADAP programs today with regard to both minorities and those on the waiting lists for treatment. The institution of a national ADAP program would certainly face many political hurdles. Consequently, this paper also looks to a recent political dispute, the enactment of the Affordable Care Act (ACA), for guidance. Using the passage of the ACA as an example could light the path for passage of a national ADAP standard. Ultimately, this would lead to a more effective and sustainable program for HIV/AIDS patients in the United States.Item Mining social media and web searches for disease detection(PAGEPress, 2013-05-31) Yang, Y. Tony; Horneffer, Michael; DiLisio, NicoleWeb-based social media is increasingly being used across different settings in the health care industry. The increased frequency in the use of the Internet via computer or mobile devices provides an opportunity for social media to be the medium through which people can be provided with valuable health information quickly and directly. While traditional methods of detection relied predominately on hierarchical or bureaucratic lines of communication, these often failed to yield timely and accurate epidemiological intelligence. New web-based platforms promise increased opportunities for a more timely and accurate spreading of information and analysis. This article aims to provide an overview and discussion of the availability of timely and accurate information. It is especially useful for the rapid identification of an outbreak of an infectious disease that is necessary to promptly and effectively develop public health responses. These web-based platforms include search queries, data mining of web and social media, process and analysis of blogs containing epidemic key words, text mining, and geographical information system data analyses. These new sources of analysis and information are intended to complement traditional sources of epidemic intelligence. Despite the attractiveness of these new approaches, further study is needed to determine the accuracy of blogger statements, as increases in public participation may not necessarily mean the information provided is more accurate.