Improving outcomes in state AIDS drug assistance programs

Association between U.S. state AIDS Drug Assistance Program (ADAP) features and HIV antiretroviral therapy initiation, 2001-2009

BACKGROUND

U.S. state AIDS Drug Assistance Programs (ADAPs) are federally funded to provide antiretroviral therapy (ART) as the payer of last resort to eligible persons with HIV infection. States differ regarding their financial contributions to and ways of implementing these programs, and it remains unclear how this interstate variability affects HIV treatment outcomes.

METHODS

We analyzed data from HIV-infected individuals who were clinically-eligible for ART between 2001 and 2009 (i.e., a first reported CD4+ <350 cells/uL or AIDS-defining illness) from 14 U.S. cohorts of the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD). Using propensity score matching and Cox regression, we assessed ART initiation (within 6 months following eligibility) and virologic suppression (within 1 year) based on differences in two state ADAP features: the amount of state funding in annual ADAP budgets and the implementation of waiting lists. We performed an a priori subgroup analysis in persons with a history of injection drug use (IDU).

RESULTS

Among 8,874 persons, 56% initiated ART within six months following eligibility. Persons living in states with no additional state contribution to the ADAP budget initiated ART on a less timely basis (hazard ratio [HR] 0.73, 95% CI 0.60-0.88). Living in a state with an ADAP waiting list was not associated with less timely initiation (HR 1.12, 95% CI 0.87-1.45). Neither additional state contributions nor waiting lists were significantly associated with virologic suppression. Persons with an IDU history initiated ART on a less timely basis (HR 0.67, 95% CI 0.47-0.95).

CONCLUSIONS

We found that living in states that did not contribute additionally to the ADAP budget was associated with delayed ART initiation when treatment was clinically indicated. Given the changing healthcare environment, continued assessment of the role of ADAPs and their features that facilitate prompt treatment is needed.

Current challenges to the United states' AIDS drug assistance program and possible implications of the affordable care act

AIDS Drug Assistance Programs, enacted through the Ryan White Comprehensive AIDS Resources Emergency Act of 1990, are the “payer of last resort” for prescription medications for lower income, uninsured, or underinsured people living with HIV/AIDS. ADAPs face declining funding from the federal government. State funding of ADAP is discretionary, but some states increased their contributions to meet the gap in funding. The demand for ADAP support is increasing as people living with HIV are living longer; the antiretroviral therapy (ART) guidelines have been changed to recommend initiation of treatment for all; the United States is increasing HIV testing goals; and the recession continues. In the setting of increased demand and limited funding, ADAPs are employing cost containment measures. Since 2010, emergency federal funds have bailed out ADAP, but these are not sustainable. In the coming years, providers and policy makers associated with HIV care will need to navigate the implementation of the Affordable Care Act (ACA). Lessons learned from the challenges associated with providing sustainable access to ART for vulnerable populations through ADAP should inform upcoming decisions about how to ensure delivery of ART during and after the implementation of the ACA.

Conceptualizing a model: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-2

The appropriate development of a model begins with understanding the problem that is being represented. The aim of this article is to provide a series of consensus-based best practices regarding the process of model conceptualization. For the purpose of this series of papers, the authors consider the development of models whose purpose is to inform medical decisions and health-related resource allocation questions. They specifically divide the conceptualization process into two distinct components: the conceptualization of the problem, which converts knowledge of the health care process or decision into a representation of the problem, followed by the conceptualization of the model itself, which matches the attributes and characteristics of a particular modeling type to the needs of the problem being represented. Recommendations are made regarding the structure of the modeling team, agreement on the statement of the problem, the structure, perspective and target population of the model, and the interventions and outcomes represented. Best practices relating to the specific characteristics of model structure, and which characteristics of the problem might be most easily represented in a specific modeling method, are presented. Each section contains a number of recommendations that were iterated among the authors, as well as the wider modeling taskforce, jointly set up by the International Society for Pharmacoeconomics and Outcomes Research and the Society for Medical Decision Making.

Conceptualizing a model: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--2

The appropriate development of a model begins with understanding the problem that is being represented. The aim of this article was to provide a series of consensus-based best practices regarding the process of model conceptualization. For the purpose of this series of articles, we consider the development of models whose purpose is to inform medical decisions and health-related resource allocation questions. We specifically divide the conceptualization process into two distinct components: the conceptualization of the problem, which converts knowledge of the health care process or decision into a representation of the problem, followed by the conceptualization of the model itself, which matches the attributes and characteristics of a particular modeling type with the needs of the problem being represented. Recommendations are made regarding the structure of the modeling team, agreement on the statement of the problem, the structure, perspective, and target population of the model, and the interventions and outcomes represented. Best practices relating to the specific characteristics of model structure and which characteristics of the problem might be most easily represented in a specific modeling method are presented. Each section contains a number of recommendations that were iterated among the authors, as well as among the wider modeling taskforce, jointly set up by the International Society for Pharmacoeconomics and Outcomes Research and the Society for Medical Decision Making.

Cost-effective screening for acute hepatitis C virus infection in HIV-infected men who have sex with men

BACKGROUND

We used a Monte Carlo computer simulation to estimate the effectiveness and cost-effectiveness of screening for acute hepatitis C virus (HCV) infection in human immunodeficiency virus (HIV)-infected men who have sex with men.

METHODS

One-time screening for prevalent HCV infection was performed at the time of enrollment in care, followed by either symptom-based screening, screening with liver function tests (LFTs), HCV antibody (Ab) screening, or HCV RNA screening in various combinations and intervals. We considered both treatment with pegylated interferon and ribavirin (PEG/RBV) alone and with an HCV protease inhibitor. Outcome measures were life expectancy, quality-adjusted life expectancy, direct medical costs, and cost-effectiveness, assuming a societal willingness to pay $100000 per quality-adjusted life-year (QALY) gained.

RESULTS

All strategies increased life expectancy (from 0.49 to 0.94 life-months), quality-adjusted life expectancy (from 0.47 to 1.00 quality-adjusted life-months), and costs (from $1900 to $7600), compared with symptom-based screening. The incremental cost-effectiveness ratio of screening with 6-month LFTs and a 12-month HCV Ab test, compared with symptom-based screening, was $43 700/QALY (for PEG/RBV alone) and $57 800/QALY (for PEG/RBV plus HCV protease inhibitor). The incremental cost-effectiveness ratio of screening with 3-month LFTs, compared with 6-month LFTs plus a 12-month HCV Ab test, was $129 700/QALY (for PEG/RBV alone) and $229 900/QALY (for PEG/RBV plus HCV protease inhibitor). With HCV protease inhibitor-based therapy, screening with 6-month LFTs and a 12-month HCV Ab test was the optimal strategy when the HCV infection incidence was ≤1.25 cases/100 person-years. The 3-month LFT strategy was optimal when the incidence was >1.25 cases/100 person-years.

CONCLUSIONS

Screening for acute HCV infection in HIV-infected MSM prolongs life expectancy and is cost-effective. Depending on incidence, regular screening with LFTs, with or without an HCV Ab test, is the optimal strategy.

Health care system and policy factors influencing engagement in HIV medical care: piecing together the fragments of a fractured health care delivery system

Grounded in a socio-ecological framework, we describe salient health care system and policy factors that influence engagement in human immunodeficiency virus (HIV) clinical care. The discussion emphasizes successful programs and models of service delivery and highlights the limitations of current, fragmented health care system components in supporting effective, efficient, and sustained patient engagement across a continuum of care. A fundamental need exists for improved synergies between funding and service agencies that provide HIV testing, prevention, treatment, and supportive services. We propose a feedback loop whereby actionable, patient-level surveillance of HIV testing and engagement in care activities inform educational outreach and resource allocation to support integrated "testing and linkage to care plus" service delivery. Ongoing surveillance of programmatic performance in achieving defined benchmarks for linkage of patients who have newly diagnosed HIV infection and retention of those patients in care is imperative to iteratively inform further educational efforts, resource allocation, and refinement of service delivery.