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Role of substance use in HIV care cascade outcomes among people who inject drugs in Russia

Overview of attention for article published in Addiction Science & Clinical Practice, December 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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1 blog
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10 X users

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14 Dimensions

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75 Mendeley
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Title
Role of substance use in HIV care cascade outcomes among people who inject drugs in Russia
Published in
Addiction Science & Clinical Practice, December 2017
DOI 10.1186/s13722-017-0098-5
Pubmed ID
Authors

Bulat Idrisov, Karsten Lunze, Debbie M. Cheng, Elena Blokhina, Natalia Gnatienko, Emily Quinn, Carly Bridden, Alexander Y. Walley, Kendall J. Bryant, Dmitry Lioznov, Evgeny Krupitsky, Jeffrey H. Samet

Abstract

Engaging people who drink alcohol or inject drugs in HIV care can be challenging, particularly in Eastern Europe. Healthcare facilities in Russia are organized by specialty; therefore linking patients from addiction care to HIV hospitals has been difficult. The HIV care cascade outlines stages of HIV care (e.g., linkage to care, prescribed antiretroviral therapy [ART], and achieving HIV viral suppression). We hypothesized that unhealthy alcohol use, injection drug use, and opioid craving are associated with unfavorable HIV care cascade outcomes. We analyzed data from a cohort (n = 249) of HIV-positive Russians who have been in addiction hospital treatment in the past year and had a lifetime history of injection drug use (IDU). We evaluated the association between unhealthy alcohol use (AUDIT score > 7 [both hazardous drinking and dependence]), past-month injection drug use (IDU), and opioid craving (visual analogue scale from 1 to 100) with HIV care cascade outcomes. The primary outcome was linkage to HIV care within 12 months. Other outcomes were prescription of ART (secondary) and achievement of undetectable HIV viral load (HVL < 500 copies/mL) within 12 months (exploratory); the latter was analyzed on a subset in which HVL was measured (n = 48). We assessed outcomes via medical record review (linkage, ART) and serum tests (HVL). To examine the primary outcome, we used multiple logistic regression models controlling for potential confounders. Among 249 study participants, unhealthy alcohol use (n = 148 [59%]) and past-month IDU (n = 130 [52%]) were common. The mean opioid craving score was 49 (SD: 38). We were unable to detect significant associations between the independent variables (i.e., unhealthy alcohol use, IDU and opioid craving) and any HIV care cascade outcomes in unadjusted and adjusted analyses. In this cohort of HIV-positive Russians with a history of IDU, individual substance use factors were not significantly associated with achieving HIV care cascade milestones (i.e., linkage to HIV care; prescription for ART; or suppressed viral load). Given no detection of an association of cascade outcomes with recent unhealthy use of alcohol or injection drugs in this cohort, examining systemic factors to understand determinants of HIV care engagement for people with drug use would be important.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 23%
Researcher 10 13%
Other 8 11%
Student > Bachelor 7 9%
Student > Doctoral Student 5 7%
Other 11 15%
Unknown 17 23%
Readers by discipline Count As %
Medicine and Dentistry 25 33%
Nursing and Health Professions 9 12%
Psychology 6 8%
Social Sciences 4 5%
Agricultural and Biological Sciences 2 3%
Other 7 9%
Unknown 22 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 22 January 2018.
All research outputs
#2,834,594
of 25,382,440 outputs
Outputs from Addiction Science & Clinical Practice
#98
of 487 outputs
Outputs of similar age
#60,301
of 445,848 outputs
Outputs of similar age from Addiction Science & Clinical Practice
#3
of 12 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.6. This one has done well, scoring higher than 79% of its peers.
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 445,848 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 12 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 66% of its contemporaries.