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Predictors of HIV infection: a prospective HIV screening study in a Ugandan refugee settlement

Overview of attention for article published in BMC Infectious Diseases, November 2016
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Title
Predictors of HIV infection: a prospective HIV screening study in a Ugandan refugee settlement
Published in
BMC Infectious Diseases, November 2016
DOI 10.1186/s12879-016-2021-1
Pubmed ID
Authors

Kelli N. O’Laughlin, Dustin J. Rabideau, Julius Kasozi, Robert A. Parker, Nirma D. Bustamante, Zikama M. Faustin, Kelsy E. Greenwald, Rochelle P. Walensky, Ingrid V. Bassett

Abstract

The instability faced by refugees may place them at increased risk of exposure to HIV infection. Nakivale Refugee Settlement in southwestern Uganda hosts 68,000 refugees from 11 countries, many with high HIV prevalence. We implemented an HIV screening program in Nakivale and examined factors associated with new HIV diagnosis. From March 2013-November 2014, we offered free HIV screening to all clients in the Nakivale Health Center while they waited for their outpatient clinic visit. Clients included refugees and Ugandan nationals accessing services in the settlement. Prior to receiving the HIV test result, participants were surveyed to obtain demographic information including gender, marital status, travel time to reach clinic, refugee status, and history of prior HIV testing. We compared variables for HIV-infected and non-infected clients using Pearson's chi-square test, and used multivariable binomial regression models to identify predictors of HIV infection. During the HIV screening intervention period, 330 (4%) of 7766 individuals tested were identified as HIV-infected. Refugees were one quarter as likely as Ugandan nationals to be HIV-infected (aRR 0.27 [0.21, 0.34], p < 0.0001). Additionally, being female (aRR 1.43 [1.14, 1.80], p = 0.002) and traveling more than 1 h to the clinic (aRR 1.39 [1.11, 1.74], p = 0.003) increased the likelihood of being HIV-infected. Compared to individuals who were married or in a stable relationship, being divorced/separated/widowed increased the risk of being HIV-infected (aRR 2.41 [1.88, 3.08], p < 0.0001), while being single reduced the risk (aRR 0.60 [0.41, 0.86], p < 0.0001). Having been previously tested for HIV (aRR 0.59 [0.47, 0.74], p < 0.0001) also lowered the likelihood of being HIV-infected. In an HIV screening program in a refugee settlement in Uganda, Ugandan nationals are at higher risk of having HIV than refugees. The high HIV prevalence among clients seeking outpatient care, including Ugandan nationals and refugees, warrants enhanced HIV screening services in Nakivale and in the surrounding region. Findings from this research may be relevant for other refugee settlements in Sub-Saharan Africa hosting populations with similar demographics, including the 9 other refugee settlements in Uganda.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 13%
Student > Ph. D. Student 12 12%
Student > Bachelor 10 10%
Researcher 9 9%
Other 8 8%
Other 21 21%
Unknown 25 26%
Readers by discipline Count As %
Medicine and Dentistry 22 22%
Social Sciences 17 17%
Nursing and Health Professions 14 14%
Psychology 3 3%
Business, Management and Accounting 2 2%
Other 11 11%
Unknown 29 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 June 2017.
All research outputs
#20,427,593
of 22,979,862 outputs
Outputs from BMC Infectious Diseases
#6,512
of 7,715 outputs
Outputs of similar age
#349,751
of 415,906 outputs
Outputs of similar age from BMC Infectious Diseases
#168
of 216 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,715 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 216 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.