Join us tomorrow, October 24th from 12pm - 1:30pm CT for Dr. Emine Yaylali's presentation and discussion on Resource Allocation Models for HIV Prevention.
Emine Yaylali, PhD
Industrial Engineering Department
Istanbul Technical University
We will briefly explain resource allocation models, how these models could be used in improving HIV prevention and present some examples from literature. Then, we will describe HIV-RAMP, a resource allocation model to optimize health departments’ Centers for Disease Control and Prevention (CDC)–funded HIV prevention budgets to prevent the most new cases of HIV and to evaluate the model’s implementation in four health departments
Design, Settings, and Participants:
We developed a linear programming model combined with a Bernoulli process model that allocated a fixed budget among HIV prevention interventions and risk subpopulations to maximize the number of new infections prevented. The model, which required epidemiologic, behavioral, budgetary, and programmatic data, was implemented in health departments in Philadelphia, Chicago, Alabama, and Nebraska.
Main Outcome Measures:
The optimal allocation of funds, the site-specific cost per case of HIV prevented rankings by intervention, and the expected number of HIV cases prevented.
The model suggested allocating funds to HIV testing and continuum-of-care interventions in all 4 health departments. Behavioral interventions did not receive funding in the optimal allocation for any health department. The most cost-effective intervention for all sites was HIV testing for men who have sex with men (MSM) in non-clinical settings, and the least cost-effective interventions were behavioral interventions for HIV-negative persons. The pilot sites required 3-4 months of technical assistance to develop data inputs and generate and interpret the results. Although the sites found the model easy to use in providing quantitative evidence on allocating HIV prevention resources, they criticized the exclusion of structural interventions and the use of model to allocate only CDC funds.
Resource allocation models have potential to improve the allocation of limited HIV prevention sources and can be used as a decision-making guide for state and local health departments. Using such models may require substantial staff time and technical assistance. Model results suggesting allocating funds towards testing and continuum-of-care interventions and risk populations at highest risk of HIV transmission may lead to better health outcomes. These model results emphasize the allocation of CDC funds toward testing and continuum--of-care interventions and populations at highest risk of HIV transmission.
Ce-PIM‘s Prevention Science and Methodology Group (PSMG) is a virtual network of more than 480 empirical researchers and methodologists aimed to advance the field of prevention science and support the implementation of evidence-based prevention programs. The PSMG grand rounds are now conducted virtually over the internet, allowing the members to view, question, and comment live from their own computer with leading scientists and methodologists at no cost. Access to live presentations is restricted to PSMG members. However, PSMG presentations are recorded and will be publicly accessible on our website two weeks after the presentation date on the archive page.
The PSMG will host sessions devoted specifically to HIV Prevention (chaired by Nanette Benbow and Gregory Phillips) as well as Implementation Science (chaired by J D Smith), Agent-Based Modeling (chaired by Wouter Vermeer), and Innovations in Research Designs (chaired by Booil Jo).