ArticleBMC public health2009
Recommendations for increasing the use of HIV/AIDS resource allocation models.
Article in BMC public health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Evaluation of the use of modelling in resource allocation decisions for HIV and TB.BMJ global health · 2024Article
- Allocating treatment resources for hepatitis C in the UK: a constrained optimization modelling approach.Journal of market access & health policy · 2021Article
- Optimizing an HIV testing program using a system dynamics model of the continuum of care.Health care management science · 2015Article
- Economic analyses to support decisions about HPV vaccination in low- and middle-income countries: a consensus report and guide for analysts.BMC medicine · 2013Article
- Allocating HIV prevention funds in the United States: recommendations from an optimization model.PloS one · 2012Article
- The OptAIDS project: towards global halting of HIV/AIDS.BMC public health · 2009Article
- From Theory to Practice: Implementation of a Resource Allocation Model in Health Departments.Journal of public health management and practice : JPHMPArticle
- 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundResource allocation models have not had a substantial impact on HIV/AIDS resource allocation decisions in spite of the important, additional insights they may provide. In this paper, we highlight six difficulties often encountered in attempts to implement such models in policy settings; these are: model complexity, data requirements, multiple stakeholders, funding issues, and political and ethical considerations. We then make recommendations as to how each of these difficulties may be overcome.
resultsTo ensure that models can inform the actual decision, modellers should understand the environment in which decision-makers operate, including full knowledge of the stakeholders' key issues and requirements. HIV/AIDS resource allocation model formulations should be contextualized and sensitive to societal concerns and decision-makers' realities. Modellers should provide the required education and training materials in order for decision-makers to be reasonably well versed in understanding the capabilities, power and limitations of the model.
conclusionThis paper addresses the issue of knowledge translation from the established resource allocation modelling expertise in the academic realm to that of policymaking.
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Registered trials
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.