This study seeks to provide information relevant to public policy that will lead to increased access and utilization among this vulnerable population and to reinforce the validity of the behavioral model for vulnerable populations. This study is a secondary analysis of data collected in a study that examined adult, working-aged patients within the John Peter Smith Health Network, which is a large, urban, tax supported county health care system in Fort Worth, Texas. From a sampling frame of 10,000 patients, the study analyzed data for 243 low-income, white, working-age males, collected from computer assisted telephone interviews in 2000. Cross-tabulations and bivariate logistic regressions were used to analyze the effect of 8 independent variables (age, marital status, insurance, employment status, a usual source of care, competing needs, experiences with paperwork, and perceived health status upon 5 dependent variables pertaining to unmet health care, unmet prescription medicine needs, unmet dental needs, utilization of doctors in emergency departments, and overnight hospital stays. The results show the safety net system is failing to meet the needs of this vulnerable population. The findings indicate white men who found it necessary to forgo health care due to other needs were almost five (4.973) times as likely …

Vulnerable populations comprise a growing number of people living with HIV/AIDS and are at increased risk for poorer health outcomes. The purpose of this research was to approximate the effect of the Ryan White CARE Act on the health status of people living with HIV/AIDS who were receiving medical care in the United States. The vulnerable populations model was utilized to identify appropriate variables for analysis as well as to provide a sequencing for the testing of models. Data analyzed in this study came from the 1996 Baseline Survey of the HIV Cost and Services Utilization Study (HCSUS), a cooperative study between RAND and the Agency for Health Care Policy and Research (now known as the Agency for Health Care Quality and Research). Three analyses sequences, using different dependent variables, to estimate health status were conducted. In the first analysis, health status was measured by CD-4 count and stage of illness. In the second analysis, only CD-4 counts were used for health status. In the final analysis, health status was estimated based on AIDS diagnosis. Each of the three analyses included the same independent variables: race, gender, education, sexual orientation, income, insurance status, region of the country, receipt of case …