TY - JOUR
T1 - Prevalence and Predictors of Substance Use Disorders Among HIV Care Enrollees in the United States
AU - Hartzler, Bryan
AU - Dombrowski, Julia C.
AU - Crane, Heidi M.
AU - Eron, Joseph J.
AU - Geng, Elvin H.
AU - Christopher Mathews, W.
AU - Mayer, Kenneth H.
AU - Moore, Richard D.
AU - Mugavero, Michael J.
AU - Napravnik, Sonia
AU - Rodriguez, Benigno
AU - Donovan, Dennis M.
N1 - Funding Information:
The funding source for this analytic work was National Institute on Drug Abuse R03DA039719 (Informing Dissemination of Behavior Therapies to Enhance HIV Care Among Substance Abusers, Hartzler PI). The authors thank the CNICS sites for contributing data to this endeavor. CNICS is funded by R24 AI067039 with sites at University of Alabama at Birmingham (P30 AI027767), University of Washington (P30 AI027757), University of California San Diego (P30 AI036214), University of California San Francisco (P30 AI027763), Case Western Reserve University (P30 AI036219), John Hopkins University (P30 AI094189, U01 DA036935), Fenway Health/Harvard (P30 AI060354), and University of North Carolina Chapel Hill (P30 AI50410).
Funding Information:
The funding source for this analytic work was National Institute on Drug Abuse R03DA039719 (Informing Dissemination of Behavior Therapies to Enhance HIV Care Among Substance Abusers, Hartzler PI). The authors thank the CNICS sites for contributing data to this endeavor. CNICS is funded by R24 AI067039 with sites at University of Alabama at Birmingham (P30 AI027767), University of Washington (P30 AI027757), University of California San Diego (P30 AI036214), University of California San Francisco (P30 AI027763), Case Western Reserve University (P30 AI036219), John Hopkins University (P30 AI094189, U01 DA036935), Fenway Health/Harvard (P30 AI060354), and University of North Carolina Chapel Hill (P30 AI50410). Julia C. Dombrowski has conducted STD clinical research unrelated to this work supported by grants to the University of Washington from Genentech, ELITech, Melinta Therapeutics, Curatek Pharmaceuticals, Quidel, and Hologic. Among the authorship group, no other conflicts of interest were declared.
Funding Information:
Julia C. Dombrowski has conducted STD clinical research unrelated to this work supported by grants to the University of Washington from Genentech, ELITech, Melinta Therapeutics, Curatek Pharmaceuticals, Quidel, and Hologic. Among the authorship group, no other conflicts of interest were declared.
Publisher Copyright:
© 2016, Springer Science+Business Media New York.
PY - 2017/4/1
Y1 - 2017/4/1
N2 - Prior efforts to estimate U.S. prevalence of substance use disorders (SUDs) in HIV care have been undermined by caveats common to single-site trials. The current work reports on a cohort of 10,652 HIV-positive adults linked to care at seven sites, with available patient data including geography, demography, and risk factor indices, and with substance-specific SUDs identified via self-report instruments with validated diagnostic thresholds. Generalized estimating equations also tested patient indices as SUD predictors. Findings were: (1) a 48 % SUD prevalence rate (between-site range of 21–71 %), with 20 % of the sample evidencing polysubstance use disorder; (2) substance-specific SUD rates of 31 % for marijuana, 19 % alcohol, 13 % methamphetamine, 11 % cocaine, and 4 % opiate; and (3) emergence of younger age and male gender as robust SUD predictors. Findings suggest high rates at which SUDs occur among patients at these urban HIV care sites, detail substance-specific SUD rates, and identify at-risk patient subgroups.
AB - Prior efforts to estimate U.S. prevalence of substance use disorders (SUDs) in HIV care have been undermined by caveats common to single-site trials. The current work reports on a cohort of 10,652 HIV-positive adults linked to care at seven sites, with available patient data including geography, demography, and risk factor indices, and with substance-specific SUDs identified via self-report instruments with validated diagnostic thresholds. Generalized estimating equations also tested patient indices as SUD predictors. Findings were: (1) a 48 % SUD prevalence rate (between-site range of 21–71 %), with 20 % of the sample evidencing polysubstance use disorder; (2) substance-specific SUD rates of 31 % for marijuana, 19 % alcohol, 13 % methamphetamine, 11 % cocaine, and 4 % opiate; and (3) emergence of younger age and male gender as robust SUD predictors. Findings suggest high rates at which SUDs occur among patients at these urban HIV care sites, detail substance-specific SUD rates, and identify at-risk patient subgroups.
KW - HIV care settings
KW - Patient demography
KW - Substance use disorders
KW - United States
UR - http://www.scopus.com/inward/record.url?scp=84991105179&partnerID=8YFLogxK
U2 - 10.1007/s10461-016-1584-6
DO - 10.1007/s10461-016-1584-6
M3 - Article
C2 - 27738780
AN - SCOPUS:84991105179
VL - 21
SP - 1138
EP - 1148
JO - AIDS and Behavior
JF - AIDS and Behavior
SN - 1090-7165
IS - 4
ER -