No abstract

Understanding the factors that influence differing types of health care utilization within vulnerable groups can serve as a basis for projecting future health care needs, forecasting future health care expenditures, and influencing social policy. In this article the Behavioral Model for Vulnerable Populations is used to evaluate discretionary (physician visits) and non-discretionary (emergency room visits, and hospitalizations) health utilization patterns of a sample of 1466 respondents with one or more vulnerable health classification. Reported vulnerabilities include: (1) persons with substance disorders; (2) homeless persons; (3) persons with mental health problems; (4) victims of violent crime; (5) persons diagnosed with HIV/AIDS; (6) and persons in receipt of public benefits. Hierarchical logistic regression is used on three nested models to model factors that influence physician visits, emergency room visits, and hospitalizations. Additionally, bivariate logistic regression analyses are completed using a vulnerability index to evaluate the impact of increased numbers of vulnerability on all three forms of health care utilization. Findings from this study suggest the Behavioral Model of Vulnerable Populations be employed in future research regarding health care utilization patterns among vulnerable populations. This article encourages further research investigating the cumulative effect of health vulnerabilities on the use of non-discretionary services so that this behavior could be better understood and appropriate social policies and behavioral interventions implemented.

Background Persons with mental disorders frequently have other co-occurring problems such as substance related disorders and HIV/AIDS. Individuals with co-occurring medical and mental disorders encounter great obstacles to receiving mental health services. Aims This paper uses the Behavioral Model of Vulnerable Populations to evaluate use of mental health services among groups with co-occurring disorders (CODs) and other co-morbid relationships. The association between receipt of mental health treatment and traditional/vulnerable predisposing, enabling, and need factors are examined. Methods Bivariate analysis and two-stage hierarchical logistic regression were completed. Resutls A sample of 553 persons who reported mental health problems within the past year had one or more of the following vulnerabilities: (1) substance disorders; (2) homelessness; (3) victims of violent crime; (4) diagnosed with HIV/AIDS; (5) recipient of public benefits; and 31.3% reported having received some form of mental health treatment. Both traditional and vulnerable characteristics are significant predictors of receipt of mental health treatment. Vulnerable predictors indicated decreased odds of receiving mental health treatment were associated with injection and chronic drug use, (OR = .42, CI: .22 – .77) and (OR = .38, CI: .22 – .64) respectively. Conclusion The Behavioral Model of Vulnerable Populations could be employed in future research of CODs and other co-morbid group’s utilization of mental health treatment.

Lula Beatty (2003:59) asks, “What makes a black woman, voluntarily take a substance into her body which alters her perceptions and feelings of well-being?” This research examines African American women’s substance abuse as a response to stressful life events grounded in adolescence, drawing in part on the cognitive-transactional approach and distal stressor model to discuss the effects of stressors on mental health and substance abusing behavior. Most respondents viewed their adolescent experiences and the associated stress as tribulations or lessons to be lived through, rather than a signal of needed change in their social, cultural, and ecological life circumstances. The effect of exposure to constant stressors early in the life course coupled with proximal stressors often resulted in negative active responses to stress (i.e. substance abuse) and continued stunted emotional growth. Thus, our findings indicate that the experience of African American women as adolescents contributes to understanding substance abuse amongst this population. These findings further help develop the cognitive-transactional model, while adding to the distal stressors and life process model as a way of considering gender, race, and structural forces.

This article uses the behavioral model for vulnerable populations to evaluate the use of substance abuse treatment services among a sample of 926 substance abusers with one or more vulnerable health designations. A two-stage hierarchical logistic regression was completed to determine the influence of vulnerable and traditional need factors on the probability of receiving substance abuse treatment. Among traditional covariates, increased odds of receiving substance abuse treatment are associated with being either non-Hispanic White, Hispanic, having an income > US$5,000, and having a regular source of care. Among vulnerable covariates, injection drug use (odds ratio [OR] = 2.19, confidence interval [CI] = [1.46, 3.27]) and the receipt of public benefits (OR = 1.98, CI = [135, 2.92]) remain independent risk factors for the receipt of substance abuse treatment. Many who experience substance abuse disorders can also experience a multitude of other vulnerable health classifications, suggesting the need for a comprehensive, multidisciplinary approach to the treatment of substance use disorders.