Evidence map›Paper›PMID 26686798›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2015

HIV Treatment in Resource-Limited Environments: Treatment Coverage and Insights.

Amin Khademi, Denis Saure, Andrew Schaefer, Kimberly Nucifora, R Scott Braithwaite, Mark S Roberts

Open access · bronzeAbstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Amin KhademiDepartment of Industrial Engineering, Clemson University, Clemson, SC, USA. Electronic address: Khademi@clemson.edu.
Denis SaureDepartment of Industrial Engineering, University of Chile, Santiago, Chile.
Andrew SchaeferDepartment of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
Kimberly NuciforaSection of Value and Comparative Effectiveness, NYU School of Medicine, New York, NY, USA.
R Scott BraithwaiteSection of Value and Comparative Effectiveness, NYU School of Medicine, New York, NY, USA.
Mark S RobertsDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA; Department of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
New York University · USUniversity of Pittsburgh · USClemson University · USUniversity of Chile · CL

Funding

The Operations Research Collaboration for Alcohol Abuse and AIDS: ORCAAAU24AA022007 · NIAAA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BRAITHWAITE, RONALD SCOTT · 2012 to 2016
$3.4M
A computer simulation of the Sub-Saharan HIV pandemic that can estimate benefit aR01AA017385 · NIAAA · YALE UNIVERSITY · PI BRAITHWAITE, RONALD SCOTT · 2007 to 2011
$2.8M
NIAAA NIH HHS R01 AA017385NIAAA NIH HHS R01AA017385-01NIAAA NIH HHS U24 AA022007NIAAA NIH HHS U24AA022007-01
6 · The paper itself

Abstract

backgroundThe effects of antiretroviral treatment on the HIV epidemic are complex. HIV-infected individuals survive longer with treatment, but are less likely to transmit the disease. The standard coverage measure improves with the deaths of untreated individuals and does not consider the fact that some individuals may acquire the disease and die before receiving treatment, making it susceptible to overestimating the long-run performance of antiretroviral treatment programs.

objectiveThe objective was to propose an alternative coverage definition to better measure the long-run performance of HIV treatment programs.

methodsWe introduced cumulative incidence-based coverage as an alternative to measure an HIV treatment program's success. To numerically compare the definitions, we extended a simulation model of HIV disease and treatment to represent a dynamic population that includes uninfected and HIV-infected individuals. Also, we estimated the additional resources required to implement various treatment policies in a resource-limited setting.

resultsIn a synthetic population of 600,000 people of which 44,000 (7.6%) are infected, and eligible for treatment with a CD4 count of less than 500 cells/mm(3), assuming a World Health Organization (WHO)-defined coverage rate of 50% of eligible people, and treating these individuals with a single treatment regimen, the gap between the current WHO coverage definition and our proposed one is as much as 16% over a 10-year planning horizon.

conclusionsCumulative incidence-based definition of coverage yields a more accurate representation of the long-run treatment success and along with the WHO and other definitions of coverage provides a better understanding of the HIV treatment progress.

Indexed as

Models, TheoreticalPoverty AreasAnti-HIV AgentsCD4 Lymphocyte CountComputer SimulationDisease ProgressionHIV InfectionsHumansIncidenceProgram EvaluationAnti-HIV Agentsantiretroviral therapycoverageHIV treatmentresource-limitedsimulation

Identifiers

PMID26686798
PMCPMC4686871
OpenAlexW2173434251

What OpenQuestion holds

Textmetadata
LicenceTDM
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.