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The Differential Effects of an Opt-Out HIV Testing Policy for Pregnant Women in Ethiopia When Accounting for Stigma: Secondary Analysis of DHS Data

Overview of attention for article published in Prevention Science, December 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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122 Mendeley
Title
The Differential Effects of an Opt-Out HIV Testing Policy for Pregnant Women in Ethiopia When Accounting for Stigma: Secondary Analysis of DHS Data
Published in
Prevention Science, December 2016
DOI 10.1007/s11121-016-0740-6
Pubmed ID
Authors

Michelle R. Kaufman, Alyssa Mooney, Lakew Abebe Gebretsadik, Morankar N. Sudhakar, Rachel Rieder, Rupali J. Limaye, Eshetu Girma, Rajiv N. Rimal

Abstract

Individual factors associated with HIV testing have been studied across multiple populations; however, testing is not just an individual-level phenomenon. This secondary analysis of 2005 and 2011 Ethiopia Demographic and Health Survey data was conducted to determine the extent to which the 2007 institution of an opt-out policy of HIV testing during antenatal care increased testing among women, and whether effects differed by women's stigmatizing beliefs about HIV. A logit model with interaction between pre-/post-policy year and policy exposure (birth in the past year) was used to estimate the increased probability of past-year testing, which may be attributable to the policy. Results suggested the policy contributed to a nine-point increase in the probability of testing (95% CI 0.06-0.13, p < 0.0001). A three-way interaction was used to compare the effects of exposure to the policy among women holding higher and lower HIV stigmatizing beliefs. The increase in the probability of past-year testing was 16 percentage points greater among women with lower stigmatizing beliefs (95% CI 0.06-0.27, p = 0.002). Women with higher stigmatizing beliefs were less likely to report attending antenatal care (ANC), testing at their last ANC visit, or being offered a test at their last ANC visit. We encourage researchers and practitioners to explore interventions that operate at multiple levels of socio-ecological spheres of influence, addressing both stigma and structural barriers to testing, in order to achieve the greatest results in preventing HIV.

X Demographics

X Demographics

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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 22 18%
Student > Master 17 14%
Student > Ph. D. Student 12 10%
Student > Bachelor 10 8%
Student > Doctoral Student 7 6%
Other 13 11%
Unknown 41 34%
Readers by discipline Count As %
Nursing and Health Professions 39 32%
Medicine and Dentistry 15 12%
Social Sciences 9 7%
Psychology 7 6%
Agricultural and Biological Sciences 2 2%
Other 7 6%
Unknown 43 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 January 2017.
All research outputs
#13,035,108
of 23,491,765 outputs
Outputs from Prevention Science
#598
of 1,060 outputs
Outputs of similar age
#198,552
of 424,147 outputs
Outputs of similar age from Prevention Science
#8
of 20 outputs
Altmetric has tracked 23,491,765 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 42nd percentile – i.e., 42% 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 424,147 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.