Abstract

BackgroundHIV/AIDS resource allocation decisions are influenced by political, social, ethical and other factors that are difficult to quantify. Consequently, quantitative models of HIV/AIDS resource allocation have had limited impact on actual spending decisions. We propose a decision-support System for HIV/AIDS Resource Allocation (S4HARA) that takes into consideration both principles of efficient resource allocation and the role of non-quantifiable influences on the decision-making process for resource allocation.MethodsS4HARA is a four-step spreadsheet-based model. The first step serves to identify the factors currently influencing HIV/AIDS allocation decisions. The second step consists of prioritizing HIV/AIDS interventions. The third step involves allocating the budget to the HIV/AIDS interventions using a rational approach. Decision-makers can select from several rational models of resource allocation depending on availability of data and level of complexity. The last step combines the results of the first and third steps to highlight the influencing factors that act as barriers or facilitators to the results suggested by the rational resource allocation approach. Actionable recommendations are then made to improve the allocation. We illustrate S4HARA in the context of a primary healthcare clinic in South Africa.ResultsThe clinic offers six types of HIV/AIDS interventions and spends US$750,000 annually on these programs. Current allocation decisions are influenced by donors, NGOs and the government as well as by ethical and religious factors. Without additional funding, an optimal allocation of the total budget suggests that the portion allotted to condom distribution be increased from 1% to 15% and the portion allotted to prevention and treatment of opportunistic infections be increased from 43% to 71%, while allocation to other interventions should decrease.ConclusionCondom uptake at the clinic should be increased by changing the condom distribution policy from a pull system to a push system. NGOs and donors promoting antiretroviral programs at the clinic should be sensitized to the results of the model and urged to invest in wellness programs aimed at the prevention and treatment of opportunistic infections. S4HARA differentiates itself from other decision support tools by providing rational HIV/AIDS resource allocation capabilities as well as consideration of the realities facing authorities in their decision-making process.

Highlights

  • HIV/AIDS resource allocation decisions are influenced by political, social, ethical and other factors that are difficult to quantify

  • Rational approaches HIV/AIDS resource allocation Resource allocation can be defined as the process of distributing funds or resources among intervention programs that are competing for the same budget

  • (page number not for citation purposes) http://www.resource-allocation.com/content/6/1/7 priority setting tools are necessary, including those based on principles of cost-effectiveness, these tools should be attuned to decision-makers' needs, society's preferences and local circumstances [35]. In view of these limitations to the use and usability of rational resource allocation models, we propose a decision-support System for HIV/AIDS Resource Allocation (S4HARA) that takes into consideration both principles of efficient resource allocation and the role of non-quantifiable influences on the decision-making process for HIV/ AIDS resource allocation

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Summary

Introduction

HIV/AIDS resource allocation decisions are influenced by political, social, ethical and other factors that are difficult to quantify. Rational approaches HIV/AIDS resource allocation Resource allocation can be defined as the process of distributing funds or resources among intervention programs that are competing for the same budget. There are several types of rational models that can be used to support the decision-making process for HIV/AIDS resource allocation. Simple resource allocation models can be based on equity criteria such as an allocation proportional to the number of HIV/ AIDS cases in different target groups [5,6]. Resource allocation models can be based on league tables which suggest allocating funds to interventions in ascending order of their cost-effectiveness ratios until the budget is exhausted [7]

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