Literature DB >> 18061873

Predictors of the degree of drug treatment coverage for injection drug users in 94 metropolitan areas in the United States of America.

Samuel R Friedman1, Barbara Tempalski, Joanne E Brady, Judith J Friedman, Hannah L F Cooper, Peter L Flom, Moriah M McGrath, Karla Gostnell, Don C Des Jarlais.   

Abstract

AIMS: A prior study concluded that drug treatment coverage, defined as the percentage of injection drug users in drug treatment, varied from 1 percent to 39 percent (median 9 percent) in 96 metropolitan statistical areas (MSAs) in the United States. Here, we determine which metropolitan area characteristics are associated with drug treatment coverage.
METHODS: We conducted secondary analysis of official data, including the number of injection drug users in treatment and other variables, for 94 large US MSAs. We estimated the number of injection drug users in these metropolitan areas using previously described methods. We used lagged cross-sectional analyses where the independent variables, chosen on the basis of a Theory of Community Action, preceded the dependent variable (drug treatment coverage) in time. Predictors were determined using ordinary least squares multiple regression and confirmed with robust regression.
RESULTS: Independent predictors of higher drug treatment coverage for injectors were: presence of organisations that support treatment (unstandardized beta=1.64; 95 percent CI .59 to 2.69); education expenditures per capita in the MSA (unstandardized beta=.12; 95 percent CI -.34 to 2.69); lower percentage of drug users in treatment who are non-injection drug users (unstandardized beta=-0.18; 95 percent CI -0.24 to -0.12); higher percentage of the population who are non-Hispanic White (unstandardized beta=.14; 95 percent CI .08 to .20); lower per capita long-term debt of governments in the metropolitan area (unstandardized beta=-0.93; 95 percent CI -1.51 to -0.35).
CONCLUSIONS: In conditions of scarce treatment coverage for drug injectors, an indicator of epidemiologic need (the per capita extent of AIDS among injection drug users) does not predict treatment coverage, and competition for treatment slots by non-injectors may reduce injectors' access to treatment. Metropolitan finances limit treatment coverage. Political variables (racial structures, the presence of organisations that support drug treatment, and budget priorities) may be important determinants of treatment coverage for injectors. Although confidence in these results would be higher if we had used a longitudinal design, these results suggest that further research and action that address structural, political, and other barriers to treatment expansion are sorely needed.

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Year:  2006        PMID: 18061873     DOI: 10.1016/j.drugpo.2006.10.004

Source DB:  PubMed          Journal:  Int J Drug Policy        ISSN: 0955-3959


  20 in total

1.  Contextual Predictors of Injection Drug Use Among Black Adolescents and Adults in US Metropolitan Areas, 1993-2007.

Authors:  Hannah L F Cooper; Brooke West; Sabriya Linton; Josalin Hunter-Jones; Maria Zlotorzynska; Ron Stall; Mary E Wolfe; Leslie Williams; H Irene Hall; Charles Cleland; Barbara Tempalski; Samuel R Friedman
Journal:  Am J Public Health       Date:  2015-12-21       Impact factor: 9.308

2.  Methadone maintenance therapy promotes initiation of antiretroviral therapy among injection drug users.

Authors:  Sasha Uhlmann; M-J Milloy; Thomas Kerr; Ruth Zhang; Silvia Guillemi; David Marsh; Robert S Hogg; Julio S G Montaner; Evan Wood
Journal:  Addiction       Date:  2010-03-10       Impact factor: 6.526

3.  HIV prevalence rates among injection drug users in 96 large US metropolitan areas, 1992-2002.

Authors:  Barbara Tempalski; Spencer Lieb; Charles M Cleland; Hannah Cooper; Joanne E Brady; Samuel R Friedman
Journal:  J Urban Health       Date:  2008-11-18       Impact factor: 3.671

4.  Temporal trends in spatial access to pharmacies that sell over-the-counter syringes in New York City health districts: relationship to local racial/ethnic composition and need.

Authors:  Hannah L F Cooper; Brian H Bossak; Barbara Tempalski; Samuel R Friedman; Don C Des Jarlais
Journal:  J Urban Health       Date:  2009-11       Impact factor: 3.671

5.  Social and structural factors associated with greater time with a plasma HIV-1 RNA viral load above log10(1500) copies/ml among illicit drug users.

Authors:  Mary Clare Kennedy; Thomas H Kerr; Evan Wood; Jeannie A Shoveller; Julio S G Montaner; M-J S Milloy
Journal:  AIDS       Date:  2018-05-15       Impact factor: 4.177

6.  Trends over time in HIV prevalence among people who inject drugs in 89 large US metropolitan statistical areas, 1992-2013.

Authors:  Leslie D Williams; Umedjon Ibragimov; Barbara Tempalski; Ronald Stall; Anna Satcher Johnson; Guoshen Wang; Hannah L F Cooper; Samuel R Friedman
Journal:  Ann Epidemiol       Date:  2020-04-03       Impact factor: 3.797

7.  Do metropolitan HIV epidemic histories and programs for people who inject drugs and men who have sex with men predict AIDS incidence and mortality among heterosexuals?

Authors:  Samuel R Friedman; Brooke S West; Barbara Tempalski; Cory M Morton; Charles M Cleland; Don C Des Jarlais; H Irene Hall; Hannah L F Cooper
Journal:  Ann Epidemiol       Date:  2014-01-24       Impact factor: 3.797

8.  Mexicans' use of illicit drugs in an era of drug reform: national comparative analysis by migrant status.

Authors:  Erick G Guerrero; Jorge Ameth Villatoro; Yinfei Kong; Marycarmen Bustos Gamiño; William A Vega; Maria Elena Medina Mora
Journal:  Int J Drug Policy       Date:  2014-04-18

9.  Income inequality, drug-related arrests, and the health of people who inject drugs: Reflections on seventeen years of research.

Authors:  Samuel R Friedman; Barbara Tempalski; Joanne E Brady; Brooke S West; Enrique R Pouget; Leslie D Williams; Don C Des Jarlais; Hannah L F Cooper
Journal:  Int J Drug Policy       Date:  2016-03-11

10.  Integrating buprenorphine maintenance therapy into federally qualified health centers: real-world substance abuse treatment outcomes.

Authors:  Marwan S Haddad; Alexei Zelenev; Frederick L Altice
Journal:  Drug Alcohol Depend       Date:  2013-01-17       Impact factor: 4.492

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