Moving for care: findings from the US HIV Cost and Services Utilization Study

Mobility and its Effects on HIV Acquisition and Treatment Engagement: Recent Theoretical and Empirical Advances

PURPOSE OF REVIEW

We reviewed literature across multiple disciplines to describe issues with the measurement of population mobility in HIV research and to summarize evidence of causal pathways linking mobility to HIV acquisition risks and treatment engagement, with a focus on sub-Saharan Africa.

RECENT FINDINGS

While the literature on mobility and HIV remains hampered by problems and inconsistency in measures of mobility, the recent research reveals a turn towards a greater attentiveness to measurement and gender. Theoretical and heuristic models for the study of mobility and HIV acquisition and treatment outcomes have been published, but few studies have used longitudinal designs with clear ascertainment of exposures and outcomes for measurement of causal pathways. Notwithstanding these limitations, evidence continues to accumulate that mobility is linked to higher HIV incidence, and that it challenges optimal treatment engagement. Gender continues to be important: while men are more mobile than women, women's mobility particularly heightens their HIV acquisition risks. Recent large-scale efforts to find, test, and treat the individuals in communities who are most at risk of sustaining local HIV transmission have been severely challenged by mobility. Novel interventions, policies, and health systems improvements are urgently needed to fully engage mobile individuals in HIV care and prevention. Interventions targeting the HIV prevention and care needs of mobile populations remain few in number and urgently needed.

Migration patterns among Floridians with AIDS, 1993-2007: implications for HIV prevention and care

OBJECTIVES

To characterize migration patterns among people diagnosed as having and who died of acquired immunodeficiency syndrome (AIDS) from 1993 to 2007 because migrating to a new community can disrupt human immunodeficiency virus/AIDS care delivery and patients' adherence to care and affect migrants' social services and healthcare needs.

METHODS

Florida AIDS surveillance data were used to describe patterns of migration among people diagnosed as having and who died of AIDS from 1993 to 2007. Individual and community characteristics were compared between residence at the time of AIDS diagnosis and residence at the time of death by type of migration.

RESULTS

Of 31,816 people in the cohort, 2510 (7.9%) migrated to another county in Florida and 1306 (4.1%) migrated to another state. Interstate migrants were more likely to be men, 20 to 39 years old, non-Hispanic white, and born in the United States, to have had a transmission mode of injection drug use (IDU) or men who have sex with men with IDU (MSM&IDU), and to have been diagnosed before 1999. Intercounty migrants were more likely to be non-Hispanic white, younger than 60 years, have had a transmission mode of MSM, IDU, or MSM&IDU, have higher CD4 counts/percentages, and to have lived in areas with low levels of poverty or low physician density. There was a small net movement from urban to rural areas within the state.

CONCLUSIONS

A sizable percentage of people, particularly younger people and people with a transmission mode of IDU and IDU&MSM, migrated at least once between the time of their AIDS diagnosis and death. This has important implications for care and treatment, as well as efforts to prevent the disease. Further research is needed to explore barriers and facilitators to access to care upon migration and to assess the need for programs to help people transfer their human immunodeficiency virus/AIDS care, ensuring continuity of care and adherence.

Patterns of geographic mobility predict barriers to engagement in HIV care and antiretroviral treatment adherence

Migration and geographic mobility increase risk for HIV infection and may influence engagement in HIV care and adherence to antiretroviral therapy. Our goal is to use the migration-linked communities of Santo Domingo, Dominican Republic, and New York City, New York, to determine the impact of geographic mobility on HIV care engagement and adherence to treatment. In-depth interviews were conducted with HIV+Dominicans receiving antiretroviral therapy, reporting travel or migration in the past 6 months and key informants (n=45). Mobility maps, visual representations of individual migration histories, including lifetime residence(s) and all trips over the past 2 years, were generated for all HIV+ Dominicans. Data from interviews and field observation were iteratively reviewed for themes. Mobility mapping revealed five distinct mobility patterns: travel for care, work-related travel, transnational travel (nuclear family at both sites), frequent long-stay travel, and vacation. Mobility patterns, including distance, duration, and complexity, varied by motivation for travel. There were two dominant barriers to care. First, a fear of HIV-related stigma at the destination led to delays seeking care and poor adherence. Second, longer trips led to treatment interruptions due to limited medication supply (30-day maximum dictated by programs or insurers). There was a notable discordance between what patients and providers perceived as mobility-induced barriers to care and the most common barriers found in the analysis. Interventions to improve HIV care for mobile populations should consider motivation for travel and address structural barriers to engagement in care and adherence.

Strong association between in-migration and HIV prevalence in urban sub-Saharan Africa

BACKGROUND

Enormous variation exists in HIV prevalence between countries in sub-Saharan Africa. The contribution of migration to the spread of HIV has long been recognized, but its effect at the population level has never been assessed. In this ecological analysis, we explore how much variation in HIV prevalence in urban sub-Saharan Africa is explained by in-migration.

METHODS

We performed a linear regression to analyze the association between the proportion of recent in-migrants and HIV prevalence for men and women in urban areas, using 60 data points from 28 sub-Saharan African countries between 1987 and 2005.

RESULTS

We found a strong association between recent in-migration and HIV prevalence for women (Pearson R = 57%, P < 0.001) and men (R = 24%, P = 0.016), taking the earliest data point for each country. For women, the association was also strong within east/southern Africa (R = 50%, P = 0.003). For both genders, the association was strongest between 1985 and 1994, slightly weaker between 1995 and 1999, and nonexistent as from 2000. The overall association for both men and women was not confounded by the developmental indicators GNI per capita, income inequalities, or adult literacy.

CONCLUSIONS

Migration explains much of the variation in HIV spread in urban areas of sub-Saharan Africa, especially before the year 2000, after which HIV prevalences started to level off in many countries. Our findings suggest that migration is an important factor in the spread of HIV, especially in rapidly increasing epidemics. This may be of relevance to the current HIV epidemics in China and India.

Rural AIDS diagnoses in Florida: changing demographics and factors associated with survival

PURPOSE

To compare demographic characteristics and predictors of survival of rural residents diagnosed with acquired immunodeficiency syndrome (AIDS) with those of urban residents.

METHODS

Florida surveillance data for people diagnosed with AIDS during 1993-2007 were merged with 2000 Census data using ZIP code tabulation areas (ZCTAs). Rural status was classified based on the ZCTA's rural-urban commuting area classification. Survival rates were compared between rural and urban areas using survival curves and Cox proportional hazards models controlling for demographic, clinical, and area-level socioeconomic and health care access factors.

FINDINGS

Of the 73,590 people diagnosed with AIDS, 1,991 (2.7%) resided in rural areas. People in the most recent rural cohorts were more likely than those in earlier cohorts to be female, non-Hispanic black, older, and have a reported transmission mode of heterosexual sex. There were no statistically significant differences in the 3-, 5-, or 10-year survival rates between rural and urban residents. Older age at the time of diagnosis, diagnosis during the 1993-1995 period, other/unknown transmission mode, and lower CD4 count/percent categories were associated with lower survival in both rural and urban areas. In urban areas only, being non-Hispanic black or Hispanic, being US born, more poverty, less community social support, and lower physician density were also associated with lower survival.

CONCLUSIONS

In rural Florida, the demographic characteristics of people diagnosed with AIDS have been changing, which may necessitate modifications in the delivery of AIDS-related services. Rural residents diagnosed with AIDS did not have a significant survival disadvantage relative to urban residents.

HIV care for geographically mobile populations

The interaction between geographic mobility and risk for human immunodeficiency virus infection is well recognized, but what happens to those same individuals, once infected, as they transition to living with the infection? Does mobility affect their transition into medical care? If so, do mobile and nonmobile populations achieve similar success with antiretroviral treatment? The definition of mobility has changed over the centuries to encompass a complex phenotype including permanent migration, frequent travel, circular migration, and travel to and from treatment centers. The heterogeneity of these definitions leads to discordant findings. Investigations show that mobility has an impact on infection risk, but fewer data exist on the impact of geographic mobility on medical care and treatment outcomes. This review will examine existing data regarding the impact of geographic mobility on access to and maintenance in medical care and on adherence to antiretroviral therapy for those living with human immunodeficiency virus infection. It will also expand the concept of mobility to include data on the impact of the distance from residence to clinic on medical care and treatment adherence. Our conclusions are that the existing literature is limited by varying definitions of mobility and the inherent oversimplification necessary to apply a "mobility measure" in a statistical analysis. The impact of mobility on antiretroviral treatment outcomes deserves further exploration to both define the phenomenon and target interventions to these at-risk populations.

The impact of immigration on the burden of HIV infection in Victoria, Australia

Background: Accurate estimates of the number of people diagnosed and living with HIV infection within a health jurisdiction provide the basis for planning of clinical service provision. Case reporting of new diagnoses does not account for inwards and outwards migration of people with HIV infection, thereby providing an inaccurate basis for planning. Methods: The Victorian passive surveillance system records all cases of HIV diagnosed in Victoria and distinguishes between new Victorian diagnoses (cases whose first ever HIV diagnosis was in Victoria) and cases previously diagnosed interstate and overseas. In order to gain an understanding of the impact of population movement on the burden of HIV infection in Victoria, we compared the characteristics of people first diagnosed in Victoria with those previously diagnosed elsewhere. Results: Between 1994 and 2007 there were 3111 HIV notifications in Victoria, including 212 (7%) ‘interstate diagnoses’ and 124 (4%) ‘overseas diagnoses’. The proportion of cases diagnosed outside Victoria increased from 6.4% between 1994 and 2000 to 13.8% between 2001 and 2007. Compared with ‘new diagnoses’, a larger proportion of ‘interstate diagnoses’ reported male-to-male sex as their HIV exposure, were Australian-born and diagnosed in Victoria at a general practice specialising in gay men’s health. Compared with ‘new diagnoses’, a larger proportion of ‘overseas diagnoses’ were female, reported heterosexual contact as their HIV exposure, and were diagnosed in Victoria at a sexual health clinic. Conclusions: Between 1994 and 2007 more than 10% of Victorian HIV diagnoses were among people previously diagnosed elsewhere. Characteristics of both interstate and overseas diagnoses differed from new diagnoses. Service planning needs to be responsive to the characteristics of people moving to Victoria with previously diagnosed HIV infection.

The changing face of HIV/AIDS among Native populations

AIDS has steadily increased in recent years, becoming the ninth leading killer of Native people between the ages of 15 and 44. In 2003, the Centers for Disease Control and Prevention (CDC) reported that ethnic minorities account for more than 71% of all reported AIDS cases and that there are still increases in AIDS cases in the American Indian population. Despite the work that has been done related to HIV/AIDS, there remain some major challenges in the prevention of HIV/AIDS in Native communities. Yet, there are changes on the horizon and these changes bring hope to Native communities in the ongoing battle to decrease HIV and AIDS. This article details information about the biological, social, economic and behavioral cofactors related to the rise in HIV/AIDS in Native communities and follows with issues related to special populations and consideration of the unique needs of prevention in these subpopulations. The need for norming of HIV testing is discussed as is the need for Native-specific programs and interventions. Finally, changes in the recognition of the culturally specific needs of Native people are noted and new resources are presented.

Cost of AIDS care in Mexico: what are its main individual predictors?

BACKGROUND

The Mexican government is offering universal access to antiretroviral (ARV) drugs. The cost of doing so, despite aggressive price negotiation with the pharmaceutical industry, remains high. Even with a low prevalence, about 150,000 Mexicans are estimated to be living with HIV and will require ARV treatment. Estimating the resources needed to fund this gap should consider how patient and provider characteristics affect health care costs.

METHODS

Using a sample of patients from 11 facilities in three Mexican cities representing a large proportion of AIDS patients in the country, we developed a fixed-effect model, which by controlling the facilities and individual heterogeneity estimates predicted costs using patient demographic and socioeconomic characteristics as well as physician training.

RESULTS

The estimated model explains about 45% of the variation in costs. Additional education is significantly and positively associated with cost. Increasing age is also associated with higher costs.

CONCLUSIONS

Socioeconomic status and demographic characteristics explain an important proportion of variation in care costs for AIDS, despite AIDS being such a heterogeneous disease. Such characteristics will need to be taken into account when resource needs are estimated. A priority-setting process considering the principles of equity in the fair distribution of resources is needed to help reduce the social burden of HIV/AIDS in Mexico.