ReviewHealth care management science2001
AIDS policy modeling for the 21st century: an overview of key issues.
Review in Health care management science, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Assessing the efficiency of mother-to-child HIV prevention in low- and middle-income countries using data envelopment analysis.Health care management science · 2012Article
- Recommendations for increasing the use of HIV/AIDS resource allocation models.BMC public health · 2009Article
- S4HARA: System for HIV/AIDS resource allocation.Cost effectiveness and resource allocation : C/E · 2008Article
- Health and economic impacts of an HIV intervention in out of treatment substance abusers: evidence from a dynamic model.Health care management science · 2005Article
- Preventing HIV in injection drug users: choosing the best mix of interventions for the population.Journal of urban health : bulletin of the New York Academy of Medicine · 2003Article
- Using simulation for AIDS policy modeling: benefits for HIV/AIDS prevention policy makers in Vienna, Austria.Health care management science · 2002Article
- 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
2 authors.
Funding
Abstract
Decisions about HIV prevention and treatment programs are based on factors such as program costs and health benefits, social and ethical issues, and political considerations. AIDS policy models--that is, models that evaluate the monetary and non-monetary consequences of decisions about HIV/AIDS interventions--can play a role in helping policy makers make better decisions. This paper provides an overview of the key issues related to developing useful AIDS policy models. We highlight issues of importance for researchers in the field of AIDS policy modeling as well as for policy makers. These include geographic area, setting, target groups, interventions, affordability and effectiveness of interventions, type and time horizon of policy model, and type of economic analysis. This paper is not intended to be an exhaustive review of the AIDS policy modeling literature, although many papers from the literature are discussed as examples; rather, we aim to convey the composition, achievements, and challenges of AIDS policy modeling.
Indexed as
Identifiers
11519843What OpenQuestion holds
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.