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A Strengths-Based Case Management Intervention to Reduce HIV Viral Load Among People Who Use Drugs

Overview of attention for article published in AIDS and Behavior, September 2017
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Title
A Strengths-Based Case Management Intervention to Reduce HIV Viral Load Among People Who Use Drugs
Published in
AIDS and Behavior, September 2017
DOI 10.1007/s10461-017-1903-6
Pubmed ID
Authors

Alex H. Kral, Barrot H. Lambdin, Megan Comfort, Christina Powers, Helen Cheng, Andrea M. Lopez, Robert O. Murdoch, Torsten B. Neilands, Jennifer Lorvick

Abstract

Engaging highly marginalized HIV positive people in sustained medical care is vital for optimized health and prevention efforts. Prior studies have found that strengths-based case management helps link people who use drugs to HIV care. We conducted a pilot to assess whether a strengths-based case management intervention may help people who use injection drugs (PWID) or smoke crack cocaine (PWSC) achieve undetectable HIV viral load. PWID and PWSC were recruited in Oakland, California using targeted sampling methods and referral from jails and were tested for HIV. HIV positive participants not receiving HIV care (n = 19) were enrolled in a pilot strengths-based case management intervention and HIV positive participants already in HIV care (n = 29) were followed as comparison participants. The intervention was conducted by a social worker and an HIV physician. Special attention was given to coordinating care as participants cycled through jail and community settings. Surveys and HIV viral load tests were conducted quarterly for up to 11 visits. HIV viral load became undetectable for significantly more participants in the intervention than in the comparison group by their last follow-up (intervention participants: 32% at baseline and 74% at last follow-up; comparison participants: 45% at baseline and 34% at last follow-up; p = 0.008). In repeated measures analysis, PBO intervention participants had higher odds of achieving undetectable viral load over time than comparison participants (p = 0.033). Strengths-based case management may help this highly vulnerable group achieve undetectable HIV viral load over time.

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

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 14%
Researcher 11 14%
Student > Master 7 9%
Professor > Associate Professor 6 8%
Student > Bachelor 5 6%
Other 4 5%
Unknown 33 43%
Readers by discipline Count As %
Psychology 7 9%
Medicine and Dentistry 7 9%
Social Sciences 7 9%
Nursing and Health Professions 6 8%
Business, Management and Accounting 4 5%
Other 7 9%
Unknown 39 51%
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 09 October 2017.
All research outputs
#16,777,427
of 24,676,547 outputs
Outputs from AIDS and Behavior
#2,599
of 3,638 outputs
Outputs of similar age
#205,311
of 320,769 outputs
Outputs of similar age from AIDS and Behavior
#58
of 72 outputs
Altmetric has tracked 24,676,547 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,638 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 20th percentile – i.e., 20% 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 320,769 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.