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Uptake of HIV testing in Burkina Faso: an assessment of individual and community-level determinants

Overview of attention for article published in BMC Public Health, May 2017
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Title
Uptake of HIV testing in Burkina Faso: an assessment of individual and community-level determinants
Published in
BMC Public Health, May 2017
DOI 10.1186/s12889-017-4417-2
Pubmed ID
Authors

Fati Kirakoya-Samadoulougou, Kévin Jean, Mathieu Maheu-Giroux

Abstract

Previous studies have highlighted a range of individual determinants associated with HIV testing but few have assessed the role of contextual factors. The objective of this paper is to examine the influence of both individual and community-level determinants of HIV testing uptake in Burkina Faso. Using nationally representative cross-sectional data from the 2010 Demographic and Health Survey, the determinants of lifetime HIV testing were examined for sexually active women (n = 14,656) and men (n = 5680) using modified Poisson regression models. One third of women (36%; 95% Confidence Interval (CI): 33-37%) reported having ever been tested for HIV compared to a quarter of men (26%; 95% CI: 24-27%). For both genders, age, education, religious affiliation, household wealth, employment, media exposure, sexual behaviors, and HIV knowledge were associated with HIV testing. After adjustment, women living in communities where the following characteristics were higher than the median were more likely to report uptake of HIV testing: knowledge of where to access testing (Prevalence Ratio [PR] = 1.41; 95% CI: 1.34-1.48), willing to buy food from an infected vendor (PR = 2.06; 95% CI: 1.31-3.24), highest wealth quintiles (PR = 1.18; 95% CI: 1.10-1.27), not working year-round (PR = 0.90; 95% CI: 0.84-0.96), and high media exposure (PR = 1.11; 95% CI: 1.03-1.19). Men living in communities where the proportion of respondents were more educated (PR = 1.23; 95% CI: 1.07-1.41) than the median were more likely to be tested. This study shed light on potential mechanisms through which HIV testing could be increased in Burkina Faso. Both individual and contextual factors should be considered to design effective strategies for scaling-up HIV testing.

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The data shown below were collected from the profiles of 3 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 109 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 21%
Student > Ph. D. Student 12 11%
Student > Bachelor 11 10%
Researcher 8 7%
Student > Doctoral Student 6 6%
Other 21 19%
Unknown 28 26%
Readers by discipline Count As %
Nursing and Health Professions 27 25%
Medicine and Dentistry 24 22%
Social Sciences 12 11%
Psychology 5 5%
Environmental Science 3 3%
Other 10 9%
Unknown 28 26%
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 11 August 2017.
All research outputs
#15,773,075
of 25,424,630 outputs
Outputs from BMC Public Health
#11,915
of 17,577 outputs
Outputs of similar age
#180,570
of 327,400 outputs
Outputs of similar age from BMC Public Health
#209
of 270 outputs
Altmetric has tracked 25,424,630 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,577 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 30th percentile – i.e., 30% 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 327,400 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 270 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.