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Identifying Which Place Characteristics are Associated with the Odds of Recent HIV Testing in a Large Sample of People Who Inject Drugs in 19 US Metropolitan Areas

Overview of attention for article published in AIDS and Behavior, July 2018
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  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Title
Identifying Which Place Characteristics are Associated with the Odds of Recent HIV Testing in a Large Sample of People Who Inject Drugs in 19 US Metropolitan Areas
Published in
AIDS and Behavior, July 2018
DOI 10.1007/s10461-018-2217-z
Pubmed ID
Authors

Barbara Tempalski, Hannah L. F. Cooper, Mary E. Kelley, Sabriya L. Linton, Mary E. Wolfe, Yen-Tyng Chen, Zev Ross, Don C. Des Jarlais, Samuel R. Friedman, Leslie D. Williams, Salaam Semaan, Elizabeth DiNenno, Cyprian Wejnert, Dita Broz, Gabriela Paz-Bailey, for the National HIV Behavioral Surveillance Study Group

Abstract

This exploratory analysis investigates relationships of place characteristics to HIV testing among people who inject drugs (PWID). We used CDC's 2012 National HIV Behavioral Surveillance (NHBS) data among PWID from 19 US metropolitan statistical areas (MSAs); we restricted the analytic sample to PWID self-reporting being HIV negative (N = 7477). Administrative data were analyzed to describe the 1. Sociodemographic Composition; 2. Economic disadvantage; 3. Healthcare Service/Law enforcement; and 4. HIV burden of the ZIP codes, counties, and MSAs where PWID lived. Multilevel models tested associations of place characteristics with HIV testing. Fifty-eight percent of PWID reported past-year testing. MSA-level per capita correctional expenditures were positively associated with recent HIV testing among black PWID, but not white PWID. Higher MSA-level household income and imbalanced sex ratios (more women than men) in the MSA were associated with higher odds of testing. HIV screening for PWID is suboptimal (58%) and needs improvement. Identifying place characteristics associated with testing among PWID can strengthen service allocation and interventions in areas of need to increase access to HIV testing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 19%
Student > Ph. D. Student 9 17%
Student > Master 9 17%
Student > Bachelor 5 9%
Student > Doctoral Student 2 4%
Other 7 13%
Unknown 12 22%
Readers by discipline Count As %
Social Sciences 12 22%
Nursing and Health Professions 11 20%
Psychology 7 13%
Medicine and Dentistry 3 6%
Economics, Econometrics and Finance 1 2%
Other 2 4%
Unknown 18 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 July 2018.
All research outputs
#7,716,147
of 24,942,536 outputs
Outputs from AIDS and Behavior
#1,300
of 3,654 outputs
Outputs of similar age
#122,776
of 333,873 outputs
Outputs of similar age from AIDS and Behavior
#30
of 90 outputs
Altmetric has tracked 24,942,536 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 3,654 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 63% 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 333,873 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 62% of its contemporaries.
We're also able to compare this research output to 90 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 67% of its contemporaries.