A national program of innovative AIDS care projects and their evaluation

Which Psychological Factors are Related to HIV Testing? A Quantitative Systematic Review of Global Studies

Deciding to test for HIV is necessary for receiving HIV treatment and care among those who are HIV-positive. This article presents a systematic review of quantitative studies on relationships between psychological (cognitive and affective) variables and HIV testing. Sixty two studies were included (fifty six cross sectional). Most measured lifetime testing. HIV knowledge, risk perception and stigma were the most commonly measured psychological variables. Meta-analysis was carried out on the relationships between HIV knowledge and testing, and HIV risk perception and testing. Both relationships were positive and significant, representing small effects (HIV knowledge, d = 0.22, 95 % CI 0.14-0.31, p < 0.001; HIV risk perception, OR 1.47, 95 % CI 1.26-1.67, p < 0.001). Other variables with a majority of studies showing a relationship with HIV testing included: perceived testing benefits, testing fear, perceived behavioural control/self-efficacy, knowledge of testing sites, prejudiced attitudes towards people living with HIV, and knowing someone with HIV. Research and practice implications are outlined.

Integrating acute and long-term care for high-cost populations

The inadequacies of our fragmented acute and long-term care financing and delivery systems have been well recognized for many years. Yet over the past two decades only a very small number of "boutique" initiatives have been able to improve the financing and the delivery of care to chronically ill and disabled populations. These initiatives share most of the following characteristics: prepaid, risk-adjusted financing; integrated Medicare and Medicaid funding streams; a flexible array of acute and long-term benefits; well-organized, redesigned care delivery systems that tailor these benefits to individual need; a mission-driven philosophy; and considerable creativity in engaging government payers. The experience of these "boutiques" illustrates both the obstacles to, and the opportunity for, meaningful, widespread care delivery reform for vulnerable chronically ill populations.

Unmet needs in groups of traditionally underserved individuals with HIV/AIDS: empirical models

Over the course of the HIV epidemic, the demographics of the populations of affected individuals have changed. Groups that traditionally have been underserved in systems of care have a number of unmet service needs. This article presents results based on data from 478 patients in five national demonstration projects which were funded to enroll individuals from traditionally underserved groups and to help them access services using different strategies. The participants in these programs had a high level of unmet need prior to enrolling in care. Data on client service needs were related to 17 indicators of traditionally underserved status including demographic characteristics and risk behaviors, using the data modeling method of Exhaustive CHAID (Chi-squared Automatic Interaction Detector). Crack cocaine users with HIV/AIDS were more likely than other patient groups to have unmet service needs. Patients who were homeless or in precarious housing also were vulnerable. Results are discussed in terms of designing and evaluating innovative service models to close these service gaps.

Perceived barriers to receiving HIV services in groups of traditionally underserved individuals: empirical models

Persons living with HIV/AIDS face many issues that make them highly vulnerable to a number of health and social problems. As the demographics of the epidemic have shifted in recent years, many members of traditionally underserved groups have encountered barriers to entering the services system. This article uses data from seven national demonstration projects funded to enroll persons with HIV/AIDS who tend to "fall through the cracks" and help them access needed services. Data on the initial perceptions of the participants about barriers to accessing services were related to 17 indicators of traditionally underserved status including demographic characteristics and behavioral variables using the data modeling method of Exhaustive CHAID (Chi-squared Automatic Interaction Detector). Through the modeling methods, the groups most likely to experience a large number of barriers to service participation are identified. Having children needing care is particularly predictive of the level of barriers to care.

Satisfaction with innovative community and university health clinic programs for groups of traditionally underserved individuals with HIV/AIDS: empirical models

As the demographics of the populations of affected individuals have changed, systems of care have needed to adapt to be responsive to client needs. This article examines client satisfaction data from seven national demonstration projects funded to enroll individuals from traditionally underserved groups and help them access services using different strategies. Data on client satisfaction ratings were related to indicators of traditionally underserved status, including demographic characteristics, behaviors, and other risk factors using the data modeling method of Exhaustive CHAID (Chi-squared Automatic Interaction Detector). Client groups that were most likely to experience relatively higher and lower levels of satisfaction with services are identified. Overall, all client groups were highly satisfied with the innovative HIV/AIDS services received. The findings illustrate the success of these innovative HIV care models in being responsive and sensitive to the needs of their target populations.

Satisfaction with Services in Innovative Managed Care Programs for Groups of Traditionally Underserved Individuals with HIV/AIDS: Empirical Models

As the number of people with HIV/AIDS receiving services in managed care models increases, concerns over quality of care and satisfaction with services have grown. This article examined data from three national demonstration projects that were funded to enroll traditionally underserved individuals and provide innovative medical services in programs developing models appropriate for managed care funding. Assessments of patient satisfaction were related to indicators of traditionally underserved status including demographic characteristics, behaviors, and other risk factors using the data modeling method of Exhaustive CHAID (Chi-squared Automatic Interaction Detector). Overall patient satisfaction levels with these programs were very high. Through the modeling methods, the groups most likely to experience the greatest program satisfaction are identified. In general, all groups were highly satisfied with the programs.

Finding the Underserved: Directions for HIV Care in the Future

The demographic, behavior, and background characteristics of 4,804 participants in 17 national demonstration projects for HIV medical and/or psychosocial support services were coded for an index of "service need" or possible under-representation in the traditional healthcare system. Fifteen items were coded including status as a person of color, lack of private insurance, unemployment/disability, problem drinking, crack cocaine use, heroin use, other illicit drug use, less than 12 years of education, criminal justice system involvement, children requiring care while the patient receives services, sex work, being the sex partner of an injection drug user, unstable housing, primary language not English, and age less than 21 or over 55 years. Most (87.7%) of the program participants had four or more of these factors present. Through CHAID modeling, those groups with the highest levels of service need and vulnerability were identified. These data suggest that these projects, designed to attract and serve individuals potentially underrepresented in the health services system, had in fact achieved that goal. Implications of the changing demographics of the HIV epidemic for the health service delivery system are discussed.

Typology of quality of life experiences among persons living with HIV

This article develops a typology of 2,038 participants in 13 innovative HIV/AIDS treatment model service demonstration projects targeted to traditionally underserved populations. The typology is based on self-reported health-related quality of life levels. Eight clusters were identified that classify HIV/AIDS patients based on their reported health-related quality of life. Participants were clustered based on their overall levels of quality of life, as well as by deficits in specific areas of functioning such as energy level, physical impairment, and role impairment. However, factor analysis suggests that health-related quality of life as perceived by the HIV-positive participants is best represented as a single underlying dimension and an ordering of the types shows that they are consistently related, in the same order, to several criterion measures of impairment. The results suggest that a general categorization of patients with HIV in terms of quality of life is more meaningful than an assessment of the relative areas of impairment. Since the impairment ratings were also self-reported, analyses relating quality of life clusters to actual symptom levels and healthcare utilization are needed. Implications for the assessment of health-related quality of life and the evaluation of service delivery programs for persons living with HIV are discussed.

Service needs and factors related to quality of life at time of service enrollment among persons living with HIV

This article explores the relationships of HIV risk factors, service needs, and vulnerabilities to health-related quality of life in a sample of 1,371 participants newly enrolled into 13 innovative HIV/AIDS treatment model service demonstration projects. These projects targeted services to traditionally underserved populations. Eight distinct quality of life clusters of HIV patients were used in this analysis along with patient self-identified risk factors. The quality of life clusters were based on patient self-reported quality of life dimensions. The eight clusters were differentiated based on relative strengths and weaknesses in physical functioning, energy levels, and social functioning. Data on patient need-vulnerability factors and demographic characteristics were related to these eight clusters using the data modeling method of Exhaustive CHAID (Chi-squared Automatic Interaction Detector). Through this method, the characteristics most likely to be associated with higher and lower levels of quality of life at the time of enrollment into services were identified. The results provide further support that quality of life assessment is a useful clinical tool for monitoring patient progress.

Change in perceived barriers and facilitators to treatment among women with HIV/AIDS as a function of psychosocial service utilization

Using a repeated assessment of 185 women with HIV in three national service demonstration projects that focus on reducing barriers to care, self-reported barriers to obtaining services decreased significantly over time. At the earliest time asked, participants scored an average of 5.23 on a measure of barriers to obtaining care. At the most recent time asked, they scored an average of 4.05 on the barrier measure. In a subsample of 122 women with HIV, it was found that self-reported facilitators to obtaining services increased significantly over time. At the first time asked, participants scored an average of 8.40 on a measure of facilitators to receiving services. At the most recent time asked, they scored an average of 8.98 on the facilitator measure. Results are discussed in terms of implications for designing services to minimize barriers and maximize facilitators to care for people living with HIV/AIDS.