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
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Published in |
AIDS and Behavior, July 2018
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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
Geographical breakdown
Country | Count | As % |
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United States | 7 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 7 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 54 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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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 % |
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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% |