Literature DB >> 25723987

Reorienting the HIV response in Niger toward sex work interventions: from better evidence to targeted and expanded practice.

Nicole Fraser1, Cliff C Kerr, Zakou Harouna, Zeinabou Alhousseini, Nejma Cheikh, Richard Gray, Andrew Shattock, David P Wilson, Markus Haacker, Zara Shubber, Emiko Masaki, Djibrilla Karamoko, Marelize Görgens.   

Abstract

BACKGROUND: Niger's low-burden, sex-work-driven HIV epidemic is situated in a context of high economic and demographic growth. Resource availability of HIV/AIDS has been decreasing recently. In 2007-2012, only 1% of HIV expenditure was for sex work interventions, but an estimated 37% of HIV incidence was directly linked to sex work in 2012. The Government of Niger requested assistance to determine an efficient allocation of its HIV resources and to strengthen HIV programming for sex workers.
METHODS: Optima, an integrated epidemiologic and optimization tool, was applied using local HIV epidemic, demographic, programmatic, expenditure, and cost data. A mathematical optimization algorithm was used to determine the best resource allocation for minimizing HIV incidence and disability-adjusted life years (DALYs) over 10 years.
RESULTS: Efficient allocation of the available HIV resources, to minimize incidence and DALYs, would increase expenditure for sex work interventions from 1% to 4%-5%, almost double expenditure for antiretroviral treatment and for the prevention of mother-to-child transmission, and reduce expenditure for HIV programs focusing on the general population. Such an investment could prevent an additional 12% of new infections despite a budget of less than half of the 2012 reference year. Most averted infections would arise from increased funding for sex work interventions.
CONCLUSIONS: This allocative efficiency analysis makes the case for increased investment in sex work interventions to minimize future HIV incidence and DALYs. Optimal HIV resource allocation combined with improved program implementation could have even greater HIV impact. Technical assistance is being provided to make the money invested in sex work programs work better and help Niger to achieve a cost-effective and sustainable HIV response.

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Year:  2015        PMID: 25723987     DOI: 10.1097/QAI.0000000000000456

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  6 in total

1.  In the interests of time: improving HIV allocative efficiency modelling via optimal time-varying allocations.

Authors:  Andrew J Shattock; Cliff C Kerr; Robyn M Stuart; Emiko Masaki; Nicole Fraser; Clemens Benedikt; Marelize Gorgens; David P Wilson; Richard T Gray
Journal:  J Int AIDS Soc       Date:  2016-02-23       Impact factor: 5.396

2.  Evidence for scaling up HIV treatment in sub-Saharan Africa: A call for incorporating health system constraints.

Authors:  Evelinn Mikkelsen; Jan A C Hontelez; Maarten P M Jansen; Till Bärnighausen; Katharina Hauck; Kjell A Johansson; Gesine Meyer-Rath; Mead Over; Sake J de Vlas; Gert J van der Wilt; Noor Tromp; Leon Bijlmakers; Rob M P M Baltussen
Journal:  PLoS Med       Date:  2017-02-21       Impact factor: 11.069

3.  Kazakhstan can achieve ambitious HIV targets despite expected donor withdrawal by combining improved ART procurement mechanisms with allocative and implementation efficiencies.

Authors:  Andrew J Shattock; Clemens Benedikt; Aliya Bokazhanova; Predrag Đurić; Irina Petrenko; Lolita Ganina; Sherrie L Kelly; Robyn M Stuart; Cliff C Kerr; Tatiana Vinichenko; Shufang Zhang; Christoph Hamelmann; Manoela Manova; Emiko Masaki; David P Wilson; Richard T Gray
Journal:  PLoS One       Date:  2017-02-16       Impact factor: 3.240

4.  The uptake of population size estimation studies for key populations in guiding HIV responses on the African continent.

Authors:  Nikita Viswasam; Carrie E Lyons; Jack MacAllister; Greg Millett; Jennifer Sherwood; Amrita Rao; Stefan D Baral
Journal:  PLoS One       Date:  2020-02-26       Impact factor: 3.240

5.  Maximizing the impact of malaria funding through allocative efficiency: using the right interventions in the right locations.

Authors:  Nick Scott; S Azfar Hussain; Rowan Martin-Hughes; Freya J I Fowkes; Cliff C Kerr; Ruth Pearson; David J Kedziora; Madhura Killedar; Robyn M Stuart; David P Wilson
Journal:  Malar J       Date:  2017-09-12       Impact factor: 2.979

6.  Optimization by Adaptive Stochastic Descent.

Authors:  Cliff C Kerr; Salvador Dura-Bernal; Tomasz G Smolinski; George L Chadderdon; David P Wilson
Journal:  PLoS One       Date:  2018-03-16       Impact factor: 3.240

  6 in total

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