Literature DB >> 11519843

AIDS policy modeling for the 21st century: an overview of key issues.

M S Rauner1, M L Brandeau.   

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.

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Year:  2001        PMID: 11519843     DOI: 10.1023/a:1011418614557

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  163 in total

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Authors:  E H Kaplan
Journal:  Med Decis Making       Date:  1999 Apr-Jun       Impact factor: 2.583

2.  Controlling HIV in Africa: effectiveness and cost of an intervention in a high-frequency STD transmitter core group.

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Journal:  AIDS       Date:  1991-04       Impact factor: 4.177

3.  Israel's ban on use of Ethiopians' blood: how many infectious donations were prevented?

Authors:  E H Kaplan
Journal:  Lancet       Date:  1998-04-11       Impact factor: 79.321

4.  Reported changes in sexual behavior in response to AIDS in the United States.

Authors:  J A Feinleib; R T Michael
Journal:  Prev Med       Date:  1998 May-Jun       Impact factor: 4.018

5.  Concurrent partnerships and the spread of HIV.

Authors:  M Morris; M Kretzschmar
Journal:  AIDS       Date:  1997-04       Impact factor: 4.177

6.  Cost-effectiveness of mandatory compared with voluntary screening for human immunodeficiency virus in pregnancy.

Authors:  E R Myers; J W Thompson; K Simpson
Journal:  Obstet Gynecol       Date:  1998-02       Impact factor: 7.661

Review 7.  Mathematical and statistical studies of the epidemiology of HIV.

Authors:  R M Anderson
Journal:  AIDS       Date:  1989-06       Impact factor: 4.177

8.  Serological diagnosis of human immuno-deficiency virus in Burkina Faso: reliable, practical strategies using less expensive commercial test kits.

Authors:  N Meda; L Gautier-Charpentier; R B Soudré; H Dahourou; R Ouedraogo-Traoré; A Ouangré; A Bambara; A Kpozehouen; H Sanou; D Valéa; F Ky; M Cartoux; F Barin; P Van de Perre
Journal:  Bull World Health Organ       Date:  1999       Impact factor: 9.408

9.  AIDS and the limits of control: public health orders, quarantine, and recalcitrant behavior.

Authors:  R Bayer; A Fairchild-Carrino
Journal:  Am J Public Health       Date:  1993-10       Impact factor: 9.308

10.  Prostitution, AIDS, and preventive health behavior.

Authors:  C A Campbell
Journal:  Soc Sci Med       Date:  1991       Impact factor: 4.634

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  7 in total

1.  Using simulation for AIDS policy modeling: benefits for HIV/AIDS prevention policy makers in Vienna, Austria.

Authors:  Marion S Rauner
Journal:  Health Care Manag Sci       Date:  2002-04

2.  Health and economic impacts of an HIV intervention in out of treatment substance abusers: evidence from a dynamic model.

Authors:  Anke Richter; Brett Loomis
Journal:  Health Care Manag Sci       Date:  2005-02

3.  Decision making for HIV prevention and treatment scale up: bridging the gap between theory and practice.

Authors:  Sabina S Alistar; Margaret L Brandeau
Journal:  Med Decis Making       Date:  2010-12-29       Impact factor: 2.583

4.  Assessing the efficiency of mother-to-child HIV prevention in low- and middle-income countries using data envelopment analysis.

Authors:  Sérgio P Santos; Carla A E Amado; Mauro F Santos
Journal:  Health Care Manag Sci       Date:  2012-02-22

5.  Preventing HIV in injection drug users: choosing the best mix of interventions for the population.

Authors:  Amy R Wilson; James G Kahn
Journal:  J Urban Health       Date:  2003-09       Impact factor: 3.671

6.  Recommendations for increasing the use of HIV/AIDS resource allocation models.

Authors:  Arielle Lasry; Anke Richter; Frithjof Lutscher
Journal:  BMC Public Health       Date:  2009-11-18       Impact factor: 3.295

7.  S4HARA: System for HIV/AIDS resource allocation.

Authors:  Arielle Lasry; Michael W Carter; Gregory S Zaric
Journal:  Cost Eff Resour Alloc       Date:  2008-03-26
  7 in total

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