ArticleCost effectiveness and resource allocation : C/E2008
S4HARA: System for HIV/AIDS resource allocation.
Article in Cost effectiveness and resource allocation : C/E, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 26 citations in OpenAlex.
- The application of artificial intelligence in health financing: a scoping review.Cost effectiveness and resource allocation : C/E · 2023Article
- The sociology of rationing: Towards increased interdisciplinary dialogue - A critical interpretive literature review.Sociology of health & illness · 2022Review
- Relative Impact of Different Strategies for Allocating Federal Funds for Syphilis Prevention.Sexually transmitted diseases · 2018Article
- Optimizing an HIV testing program using a system dynamics model of the continuum of care.Health care management science · 2015Article
- Efficient and equitable HIV prevention: A case study of male circumcision in South Africa.Cost effectiveness and resource allocation : C/E · 2013Article
- Allocating funds for HIV/AIDS: a descriptive study of KwaDukuza, South Africa.Health policy and planning · 2011Article
- The past, present and future of HIV, AIDS and resource allocation.BMC public health · 2009Article
- Recommendations for increasing the use of HIV/AIDS resource allocation models.BMC public health · 2009Article
- Decision making for HIV prevention and treatment scale up: bridging the gap between theory and practice.Medical decision making : an international journal of the Society for Medical Decision MakingArticle
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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