The limited resources available to disparate populations are a major factor in their ability to both manage and improve their health. This project examines how the employment and labor market status of individual family members affect the family's ability to obtain health insurance and health care. Previous research has shown that jobs in the American labor market cluster into three segments: "primary", "secondary", or "intermediary" jobs. Good jobs are defined as jobs that have annual earnings above 120 percent ofthe poverty level for a typical family of three, an employer provided refirement benefit, and employer provided health insurance;bad jobs are defined as jobs that have none of these things. In 2005 about 26 percent of "intermediary workers" and 100 percent of "secondary workers" had jobs that did not provide them with health insurance. Overall 45 percent ofAmerican workers had jobs that did not provide them with health insurance. Ariiong those who were employed, almost 18 percent did not have health insurance from any source. While most Americans exit the "secondary" labor market by age thirty, minority workers have an increased risk of continued employment in either the "secondary" or the "intermediary" labor market. Because employer provided health insurance is the primary mechanism for delivering health care in the United States, it is possible that the overrepresentafion of minorifies in jobs that do not provide health insurance is a major reason for the morbidity and mortality disparity between blacks and whites. In an effort to gain a full understanding of the dynamics of health insurance and the health disparate populafion, it is important to also important to evaluate the probable affects which the Affordable Care Act may play in allocation of health care resources for the disparity populafion.
The connection between not only employment status, but also employment type and health insurance coverage on individual health is an important cornerstone in the development of programs and policies to reduce health disparities. The added knowledge of how the recent Affordable Care Act may affect this relationship is also significant to understanding how to improve the health of communities.
|Icenogle, Marjorie; Eastburn, Sasha; Arrieta, Martha (2016) Katrina's Legacy: Processes for Patient Disaster Preparation Have Improved but Important Gaps Remain. Am J Med Sci 352:455-465|
|Shaw, Thomas C (2014) Uncovering health literacy: Developing a remotely administered questionnaire for determining health literacy levels in health disparate populations. J Hosp Adm 3:140-156|
|Bryan, Valerie; Brye, Willette; Hudson, Kenneth et al. (2014) Investigating health disparities through community-based participatory research: lessons learned from a process evaluation. Soc Work Public Health 29:318-34|
|Tan, Fang; Mosunjac, Marina; Adams, Amy L et al. (2014) Enhanced down-regulation of ALCAM/CD166 in African-American Breast Cancer. BMC Cancer 14:715|
|Fruh, Sharon M; Mulekar, Madhuri S; Hall, Heather R et al. (2013) Meal-Planning Practices with Individuals in Health Disparity Zip Codes. J Nurse Pract 9:344-349|
|Freed, Christopher R; Hansberry, Shantisha T; Arrieta, Martha I (2013) STRUCTURAL AND HIDDEN BARRIERS TO A LOCAL PRIMARY HEALTH CARE INFRASTRUCTURE: AUTONOMY, DECISIONS ABOUT PRIMARY HEALTH CARE, AND THE CENTRALITY AND SIGNIFICANCE OF POWER. Res Sociol Health Care 31:57-81|
|Fruh, Sharon M; Mulekar, Madhuri S; Hall, Heather R et al. (2013) Perspectives of Community Health Advocates: Barriers to Healthy Family Eating Patterns. J Nurse Pract 9:416-421|
|Tan, Fang; Mbunkui, Flaubert; Ofori-Acquah, Solomon F (2012) Cloning of the human activated leukocyte cell adhesion molecule promoter and identification of its tissue-independent transcriptional activation by Sp1. Cell Mol Biol Lett 17:571-85|
|King, Judy A; Tan, Fang; Mbeunkui, Flaubert et al. (2010) Mechanisms of transcriptional regulation and prognostic significance of activated leukocyte cell adhesion molecule in cancer. Mol Cancer 9:266|
|Bruce, Marino A; Beech, Bettina M; Sims, Mario et al. (2009) Social environmental stressors, psychological factors, and kidney disease. J Investig Med 57:583-9|
Showing the most recent 10 out of 15 publications