ArticleMedical decision making : an international journal of the Society for Medical Decision Making
Decision making for HIV prevention and treatment scale up: bridging the gap between theory and practice.
Article in Medical decision making : an international journal of the Society for Medical Decision Making. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- A Game Theoretic Analysis of Competition Between Vaccine and Drug Companies during Disease Contraction and Recovery.Medical decision making : an international journal of the Society for Medical Decision Making · 2022Article
- Decisions of persons, the pharmaceutical industry, and donors in disease contraction and recovery assuming virus mutation.Health economics review · 2021Article
- Implementing parallel spreadsheet models for health policy decisions: The impact of unintentional errors on model projections.PloS one · 2018Article
- Perceptions about data-informed decisions: an assessment of information-use in high HIV-prevalence settings in South Africa.BMC health services research · 2017Observational
- Policy makers, the international community and the population in the prevention and treatment of diseases: case study on HIV/AIDS.Health economics review · 2017Article
- Geographic area-based rate as a novel indicator to enhance research and precision intervention for more effective HIV/AIDS control.Preventive medicine reports · 2017Article
- Article
- HIV Treatment and Prevention: A Simple Model to Determine Optimal Investment.Medical decision making : an international journal of the Society for Medical Decision Making · 2016Article
- Optimizing an HIV testing program using a system dynamics model of the continuum of care.Health care management science · 2015Article
- Performance of a mathematical model to forecast lives saved from HIV treatment expansion in resource-limited settings.Medical decision making : an international journal of the Society for Medical Decision Making · 2015Article
- HIV epidemic control-a model for optimal allocation of prevention and treatment resources.Health care management science · 2014Article
- Article
- From Theory to Practice: Implementation of a Resource Allocation Model in Health Departments.Journal of public health management and practice : JPHMPArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
backgroundEffectively controlling the HIV epidemic will require efficient use of limited resources. Despite ambitious global goals for HIV prevention and treatment scale up, few comprehensive practical tools exist to inform such decisions.
methodsWe briefly summarize modeling approaches for resource allocation for epidemic control, and discuss the practical limitations of these models. We describe typical challenges of HIV resource allocation in practice and some of the tools used by decision makers. We identify the characteristics needed in a model that can effectively support planners in decision making about HIV prevention and treatment scale up.
resultsAn effective model to support HIV scale-up decisions will be flexible, with capability for parameter customization and incorporation of uncertainty. Such a model needs certain key technical features: it must capture epidemic effects; account for how intervention effectiveness depends on the target population and the level of scale up; capture benefit and cost differentials for packages of interventions versus single interventions, including both treatment and prevention interventions; incorporate key constraints on potential funding allocations; identify optimal or near-optimal solutions; and estimate the impact of HIV interventions on the health care system and the resulting resource needs. Additionally, an effective model needs a user-friendly design and structure, ease of calibration and validation, and accessibility to decision makers in all settings.
conclusionsResource allocation theory can make a significant contribution to decision making about HIV prevention and treatment scale up. What remains now is to develop models that can bridge the gap between theory and practice.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.