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Modelling the Potential Population Impact and Cost-Effectiveness of Self-Testing for HIV: Evaluation of Data Requirements

Overview of attention for article published in AIDS and Behavior, June 2014
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2 X users

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23 Dimensions

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102 Mendeley
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Title
Modelling the Potential Population Impact and Cost-Effectiveness of Self-Testing for HIV: Evaluation of Data Requirements
Published in
AIDS and Behavior, June 2014
DOI 10.1007/s10461-014-0824-x
Pubmed ID
Authors

Valentina Cambiano, Sue Napierala Mavedzenge, Andrew Phillips

Abstract

HIV testing uptake has increased dramatically in recent years in resource limited settings. Nevertheless, over 50 % of the people living with HIV are still unaware of their status. HIV self-testing (HIVST) is a potential new approach to facilitate further uptake of testing which requires consideration, taking into account economic factors. Mathematical models and associated economic analysis can provide useful assistance in decision-making processes, offering insight, in this case, into the potential long-term impact at a population level and the price-point at which free or subsidized HIVST would be cost-effective in a given setting. However, models are based on assumptions, and if the required data are sparse or limited, this uncertainty will be reflected in the results from mathematical models. The aim of this paper is to describe the issues encountered in modeling the cost-effectiveness of introducing HIVST, to indicate the evidence needed to support various modeling assumptions, and thus which data on HIVST would be most beneficial to collect.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Canada 1 <1%
South Africa 1 <1%
Unknown 99 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 21%
Researcher 19 19%
Student > Ph. D. Student 13 13%
Unspecified 8 8%
Other 6 6%
Other 17 17%
Unknown 18 18%
Readers by discipline Count As %
Medicine and Dentistry 22 22%
Nursing and Health Professions 11 11%
Social Sciences 10 10%
Unspecified 8 8%
Agricultural and Biological Sciences 6 6%
Other 17 17%
Unknown 28 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 June 2014.
All research outputs
#14,906,966
of 23,849,058 outputs
Outputs from AIDS and Behavior
#2,227
of 3,566 outputs
Outputs of similar age
#122,947
of 230,234 outputs
Outputs of similar age from AIDS and Behavior
#47
of 74 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,566 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 230,234 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.