S4HARA: A System for HIV/AIDS Resource Allocation
Author Information
Author(s): Lasry Arielle, Carter Michael W, Zaric Gregory S
Primary Institution: University of Toronto
Hypothesis
Can a decision-support system improve HIV/AIDS resource allocation by considering both quantifiable and non-quantifiable factors?
Conclusion
The S4HARA system can enhance HIV/AIDS resource allocation by integrating rational models with the realities of decision-making processes.
Supporting Evidence
- The clinic spends US$750,000 annually on HIV/AIDS programs.
- Optimal allocation suggests increasing funding for condom distribution from 1% to 15%.
- Current allocation decisions are influenced by donors, NGOs, and government factors.
Takeaway
This study created a tool to help decide how to spend money on HIV/AIDS programs better, taking into account both numbers and people's feelings.
Methodology
S4HARA is a four-step spreadsheet-based model that identifies influencing factors, prioritizes interventions, allocates budgets, and provides actionable recommendations.
Potential Biases
The model may be influenced by the biases of decision-makers and the availability of data.
Limitations
The model's recommendations are sensitive to data variability and may not account for non-linear relationships in epidemic growth.
Participant Demographics
The study focused on a primary healthcare clinic in kwaDukuza, South Africa, serving a population of approximately 170,000.
Digital Object Identifier (DOI)
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