Cost-effectiveness of different strategies to monitor adults on antiretroviral treatment: a combined analysis of three mathematical models

被引:39
作者
Keebler, Daniel [1 ]
Revill, Paul [2 ]
Braithwaite, Scott [3 ]
Phillips, Andrew [4 ]
Blaser, Nello [5 ]
Borquez, Annick [6 ]
Cambiano, Valentina [4 ]
Ciaranello, Andrea [7 ]
Estill, Janne [5 ]
Gray, Richard [8 ]
Hill, Andrew [9 ]
Keiser, Olivia [5 ]
Kessler, Jason [3 ]
Menzies, Nicolas A. [10 ]
Nucifora, Kimberly A. [3 ]
Vizcaya, Luisa Salazar [5 ]
Walker, Simon [2 ]
Welte, Alex [1 ]
Easterbrook, Philippa [11 ]
Doherty, Meg [11 ]
Hirnschall, Gottfried [11 ]
Hallett, Timothy B. [6 ]
机构
[1] Univ Stellenbosch, Natl Res Fdn Ctr Excellence Epidemiol Modelling &, South African Dept Sci & Technol, ZA-7600 Stellenbosch, South Africa
[2] Univ York, Ctr Hlth Econ, York YO10 5DD, N Yorkshire, England
[3] NYU, Sch Med, New York, NY USA
[4] UCL, Res Dept Infect & Populat Hlth, London, England
[5] Univ Bern, Inst Social & Prevent Med, Div Int & Environm Hlth, Bern, Switzerland
[6] Univ London Imperial Coll Sci Technol & Med, Dept Infect Dis Epidemiol, London W2 1PG, England
[7] Massachusetts Gen Hosp, Boston, MA 02114 USA
[8] Univ New S Wales, Kirby Inst, Sydney, NSW, Australia
[9] Univ Liverpool, Liverpool L69 3BX, Merseyside, England
[10] Harvard Univ, Sch Publ Hlth, Ctr Hlth Decis Sci, Boston, MA 02115 USA
[11] WHO, HIV Programme, CH-1211 Geneva, Switzerland
来源
LANCET GLOBAL HEALTH | 2014年 / 2卷 / 01期
基金
美国国家卫生研究院;
关键词
CD4 CELL COUNT; STRATALL ANRS 12110/ESTHER; RESOURCE-LIMITED SETTINGS; VIRAL LOAD; HIV TREATMENT; IMMUNOLOGICAL CRITERIA; VIROLOGICAL FAILURE; THERAPY; AFRICA; TRANSMISSION;
D O I
10.1016/S2214-109X(13)70048-2
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background WHO's 2013 revisions to its Consolidated Guidelines on antiretroviral drugs recommend routine viral load monitoring, rather than clinical or immunological monitoring, as the preferred monitoring approach on the basis of clinical evidence. However, HIV programmes in resource-limited settings require guidance on the most cost-effective use of resources in view of other competing priorities such as expansion of antiretroviral therapy coverage. We assessed the cost-effectiveness of alternative patient monitoring strategies. Methods We evaluated a range of monitoring strategies, including clinical, CD4 cell count, and viral load monitoring, alone and together, at different frequencies and with different criteria for switching to second-line therapies. We used three independently constructed and validated models simultaneously. We estimated costs on the basis of resource use projected in the models and associated unit costs; we quantified impact as disability-adjusted life years (DALYs) averted. We compared alternatives using incremental cost-effectiveness analysis. Findings All models show that clinical monitoring delivers significant benefit compared with a hypothetical baseline scenario with no monitoring or switching. Regular CD4 cell count monitoring confers a benefit over clinical monitoring alone, at an incremental cost that makes it affordable in more settings than viral load monitoring, which is currently more expensive. Viral load monitoring without CD4 cell count every 6-12 months provides the greatest reductions in morbidity and mortality, but incurs a high cost per DALY averted, resulting in lost opportunities to generate health gains if implemented instead of increasing antiretroviral therapy coverage or expanding antiretroviral therapy eligibility. Interpretation The priority for HIV programmes should be to expand antiretroviral therapy coverage, firstly at CD4 cell count lower than 350 cells per mu L, and then at a CD4 cell count lower than 500 cells per mu L, using lower-cost clinical or CD4 monitoring. At current costs, viral load monitoring should be considered only after high antiretroviral therapy coverage has been achieved. Point-of-care technologies and other factors reducing costs might make viral load monitoring more affordable in future.
引用
收藏
页码:E35 / E43
页数:9
相关论文
共 41 条
[1]  
[Anonymous], UNAIDS DAT TABL 2011
[2]  
[Anonymous], CHOOS INT AR COST EF
[3]  
[Anonymous], 18 C RETR OPP INF BO
[4]  
[Anonymous], 19 C RETR OPP INF SE
[5]  
[Anonymous], INT J INFECT DIS
[6]  
[Anonymous], MAKING CHOICES HLTH
[7]  
[Anonymous], AIDS UNPUB
[8]  
[Anonymous], PLOS ONE
[9]   Sexual transmission of HIV according to viral load and antiretroviral therapy: systematic review and meta-analysis [J].
Attia, Suzanna ;
Egger, Matthias ;
Mueller, Monika ;
Zwahlen, Marcel ;
Low, Nicola .
AIDS, 2009, 23 (11) :1397-1404
[10]   Utility of CD4 cell counts for early prediction of virological failure during antiretroviral therapy in a resource-limited setting [J].
Badri, Motasim ;
Lawn, Stephen D. ;
Wood, Robin .
BMC INFECTIOUS DISEASES, 2008, 8 (1)