Literature DB >> 18664958

Why and how to monitor the cost and evaluate the cost-effectiveness of HIV services in countries.

Eduard J Beck1, Xenophon M Santas, Paul R Delay.   

Abstract

The number of people in the world living with HIV is increasing as HIV-related mortality has declined but the annual number of people newly infected with HIV has not. The international response to contain the HIV pandemic, meanwhile, has grown. Since 2006, an international commitment to scale up prevention, treatment, care and support services in middle and lower-income countries by 2010 has been part of the Universal Access programme, which itself plays an important part in achieving the Millennium Development Goals by 2015. Apart from providing technical support, donor countries and agencies have substantially increased their funding to enable countries to scale up HIV services. Many countries have been developing their HIV monitoring and evaluation systems to generate the strategic information required to track their response and ensure the best use of the new funds. Financial information is an important aspect of the strategic information required for scaling up existing services as well as assessing the effect of new ones. It involves two components: tracking the money available and spent on HIV at all levels, through budget tracking, national health accounts and national AIDS spending assessments, and estimating the cost and efficiency of HIV services. The cost of service provision should be monitored over time, whereas evaluations of the cost-effectiveness of services are required periodically; both should be part of any country's HIV monitoring and evaluation system. This paper provides country examples of the complementary relationship between monitoring the cost of HIV services and evaluating their cost-effectiveness. It also summarizes global initiatives that enable countries to develop their own HIV monitoring and evaluation systems and to generate relevant, robust and up-to-date strategic information.

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Mesh:

Year:  2008        PMID: 18664958     DOI: 10.1097/01.aids.0000327626.77597.fa

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  8 in total

Review 1.  Counting the cost of not costing HIV health facilities accurately: pay now, or pay more later.

Authors:  Eduard J Beck; Carlos Avila; Sofia Gerbase; Guy Harling; Paul De Lay
Journal:  Pharmacoeconomics       Date:  2012-10-01       Impact factor: 4.981

Review 2.  Unit costs for delivery of antiretroviral treatment and prevention of mother-to-child transmission of HIV: a systematic review for low- and middle-income countries.

Authors:  Omar Galárraga; Veronika J Wirtz; Alejandro Figueroa-Lara; Yared Santa-Ana-Tellez; Ibrahima Coulibaly; Kirsi Viisainen; Antonieta Medina-Lara; Eline L Korenromp
Journal:  Pharmacoeconomics       Date:  2011-07       Impact factor: 4.981

Review 3.  Complement and HIV-I infection/HIV-associated neurocognitive disorders.

Authors:  Fengming Liu; Shen Dai; Jennifer Gordon; Xuebin Qin
Journal:  J Neurovirol       Date:  2014-03-18       Impact factor: 2.643

4.  The cost of providing comprehensive HIV treatment in PEPFAR-supported programs.

Authors:  Nicolas A Menzies; Andres A Berruti; Richard Berzon; Scott Filler; Robert Ferris; Tedd V Ellerbrock; John M Blandford
Journal:  AIDS       Date:  2011-09-10       Impact factor: 4.177

Review 5.  Implementation science of pre-exposure prophylaxis: preparing for public use.

Authors:  Kristen Underhill; Don Operario; Matthew J Mimiaga; Margie R Skeer; Kenneth H Mayer
Journal:  Curr HIV/AIDS Rep       Date:  2010-11       Impact factor: 5.071

6.  A high-affinity inhibitor of human CD59 enhances complement-mediated virolysis of HIV-1: implications for treatment of HIV-1/AIDS.

Authors:  Weiguo Hu; Qigui Yu; Ningjie Hu; Daniel Byrd; Tohti Amet; Cecilia Shikuma; Bruce Shiramizu; Jose A Halperin; Xuebin Qin
Journal:  J Immunol       Date:  2009-12-02       Impact factor: 5.422

7.  Protecting HIV information in countries scaling up HIV services: a baseline study.

Authors:  Eduard J Beck; Sundhiya Mandalia; Guy Harling; Xenophon M Santas; Debra Mosure; Paul R Delay
Journal:  J Int AIDS Soc       Date:  2011-02-06       Impact factor: 5.396

8.  Protecting the confidentiality and security of personal health information in low- and middle-income countries in the era of SDGs and Big Data.

Authors:  Eduard J Beck; Wayne Gill; Paul R De Lay
Journal:  Glob Health Action       Date:  2016-11-23       Impact factor: 2.640

  8 in total

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