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Title of the item:

Optimization Models for HIV/AIDS Resource Allocation: A Systematic Review.

Title :
Optimization Models for HIV/AIDS Resource Allocation: A Systematic Review.
Authors :
Avanceña ALV; Department of Health Management and Policy, University of Michigan, Ann Arbor, MI, USA. Electronic address: .
Hutton DW; Department of Health Management and Policy and Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, USA.
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Source :
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research [Value Health] 2020 Nov; Vol. 23 (11), pp. 1509-1521. Date of Electronic Publication: 2020 Sep 10.
Publication Type :
Journal Article; Systematic Review
Language :
English
Imprint Name(s) :
Publication: Jan./Feb. 2011- : New York : Elsevier
Original Publication: Malden, MA : Blackwell Science, c1998-
MeSH Terms :
Costs and Cost Analysis*
Models, Theoretical*
Resource Allocation*
HIV Infections/*epidemiology
HIV Infections/*prevention & control
Africa South of the Sahara/epidemiology ; Anti-Retroviral Agents/therapeutic use ; HIV Infections/drug therapy ; Humans ; United States/epidemiology
Contributed Indexing :
Keywords: operations research*; optimization*; resource allocation*
Substance Nomenclature :
0 (Anti-Retroviral Agents)
Entry Date(s) :
Date Created: 20201031 Date Completed: 20210222 Latest Revision: 20210222
Update Code :
20210223
DOI :
10.1016/j.jval.2020.08.001
PMID :
33127022
Academic Journal
Objective: This study reviews optimization models for human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS) resource allocation.
Methods: We searched 2 databases for peer-reviewed articles published from January 1985 through August 2019 that describe optimization models for resource allocation in HIV/AIDS. We included models that consider 2 or more competing HIV/AIDS interventions. We extracted data on selected characteristics and identified similarities and differences across models. We also assessed the quality of mathematical disease transmission models based on the best practices identified by a 2010 task force.
Results: The final qualitative synthesis included 23 articles that used 14 unique optimization models. The articles shared several characteristics, including the use of dynamic transmission modeling to estimate health benefits and the inclusion of specific high-risk groups in the study population. The models explored similar HIV/AIDS interventions that span primary and secondary prevention and antiretroviral treatment. Most articles were focused on sub-Saharan African countries (57%) and the United States (39%). There was notable variation in the types of optimization objectives across the articles; the most common was minimizing HIV incidence or maximizing infections averted (87%). Articles that utilized mathematical modeling of HIV disease and transmission displayed variable quality.
Conclusions: This systematic review of the literature identified examples of optimization models that have been applied in different settings, many of which displayed similar features. There were similarities in objective functions across optimization models, but they did not align with global HIV/AIDS goals or targets. Future work should be applied in countries facing the largest declines in HIV/AIDS funding.
(Copyright © 2020 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.)

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