Evidence map›Paper›PMID 18809819›Full record

ArticleArchives of internal medicine2008

Cost-effectiveness of HIV monitoring strategies in resource-limited settings: a southern African analysis.

Eran Bendavid, Sean D Young, David A Katzenstein, Ahmed M Bayoumi, Gillian D Sanders, Douglas K Owens

Open access · greenAbstract read
In one paragraph

Article in Archives of internal medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 pooled it
6.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 2 syntheses or guidelines pooled it, 88 citations in OpenAlex.

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  16. Differentiated Human Immunodeficiency Virus RNA Monitoring in Resource-Limited Settings: An Economic Analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Eran BendavidCenter for Health Policy and the Center for Primary Care and Outcomes Research, School of Medicine, Stanford University, 117 Encina Commons, Stanford, CA 94305, USA. ebd@stanford.edu
Sean D Young
David A Katzenstein
Ahmed M Bayoumi
Gillian D Sanders
Douglas K Owens
Stanford University · US

Funding

Making Better Decisions: Policy Modeling for AIDS and Drug AbuseR01DA015612 · NIDA · STANFORD UNIVERSITY · PI OWENS, DOUGLAS K · 2002 to 2017
$9.4M
Training Program in Health Services ResearchT32HS000028 · AHRQ · STANFORD UNIVERSITY · PI OWENS, DOUGLAS K · 1986 to 2012
$1.6M
Improving the Public Health Impact of HIV Testing in Highly Endemic RegionsK01AI084582 · NIAID · STANFORD UNIVERSITY · PI BENDAVID, ERAN · 2009 to 2013
$652k
AHRQ HHS T32 HS000028AHRQ HHS T32-HS000028NIAID NIH HHS K01 AI084582NIDA NIH HHS R01 DA015612NIDA NIH HHS R01 DA15612-01
6 · The paper itself

Abstract

backgroundAlthough the number of infected persons receiving highly active antiretroviral therapy (HAART) in low- and middle-income countries has increased dramatically, optimal disease management is not well defined.

methodsWe developed a model to compare the costs and benefits of 3 types of human immunodeficiency virus monitoring strategies: symptom-based strategies, CD4-based strategies, and CD4 counts plus viral load strategies for starting, switching, and stopping HAART. We used clinical and cost data from southern Africa and performed a cost-effectiveness analysis. All assumptions were tested in sensitivity analyses.

resultsCompared with the symptom-based approaches, monitoring CD4 counts every 6 months and starting treatment at a threshold of 200/muL was associated with a gain in life expectancy of 6.5 months (61.9 months vs 68.4 months) and a discounted lifetime cost savings of US $464 per person (US $4069 vs US $3605, discounted 2007 dollars). The CD4-based strategies in which treatment was started at the higher threshold of 350/microL provided an additional gain in life expectancy of 5.3 months at a cost-effectiveness of US $107 per life-year gained compared with a threshold of 200/microL. Monitoring viral load with CD4 was more expensive than monitoring CD4 counts alone, added 2.0 months of life, and had an incremental cost-effectiveness ratio of US $5414 per life-year gained relative to monitoring of CD4 counts. In sensitivity analyses, the cost savings from CD4 count monitoring compared with the symptom-based approaches was sensitive to cost of inpatient care, and the cost-effectiveness of viral load monitoring was influenced by the per test costs and rates of virologic failure.

conclusionsUse of CD4 monitoring and early initiation of HAART in southern Africa provides large health benefits relative to symptom-based approaches for HAART management. In southern African countries with relatively high costs of hospitalization, CD4 monitoring would likely reduce total health care expenditures. The cost-effectiveness of viral load monitoring depends on test prices and rates of virologic failure.

Indexed as

Africa, SouthernCD4 Lymphocyte CountCosts and Cost AnalysisDisease ProgressionHIV InfectionsHumansLife ExpectancyModels, TheoreticalMonitoring, PhysiologicSensitivity and Specificity

Identifiers

PMID18809819
PMCPMC2894578
OpenAlexW2070629478

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.