Predictors of the degree of drug treatment coverage for injection drug users in 94 metropolitan areas in the United States of America
ABSTRACT 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.
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.
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).
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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ABSTRACT: Although rates of illicit drug use are considerably lower in Mexico than in the United States, rates in Mexico have risen significantly. This increase has particular implications for Mexican women and US migrants, who are considered at increased risk of drug use. Due to drug reforms enacted in Mexico in 2008, it is critical to evaluate patterns of drug use among migrants who reside in both regions. We analysed a sample of Mexicans (N=16,249) surveyed during a national household survey in 2011, the Encuesta Nacional de Adicciones (National Survey of Addictions). Comparative analyses based on Mexicans' migrant status - (1) never in the United States, (2) visited the United States, or (3) lived in the United States (transnationals) - featured analysis of variance and Chi-square global tests. Two multilevel regressions were conducted to determine the relationships among migrant status, women, and illicit drug use. Comparative findings showed significant differences in type and number of drugs used among Mexicans by migrant status. The regression models showed that compared with Mexicans who had never visited the United States, Mexican transnationals were more likely to report having used drugs (OR=2.453, 95% CI=1.933, 3.113) and using more illicit drugs (IRR=2.061, 95% CI=1.626, 2.613). Women were less likely than men to report having used drugs (OR=0.187, 95% CI=0.146, 0.239) and using more illicit drugs (IRR=0.153, 95% CI=0.116, 0.202). Overall, the findings support further exploration of risk factors for illicit drug use among Mexican transnationals, who exhibit greater drug use behaviours than Mexicans never in the United States. Because drug reform mandates referrals to treatment for those with recurrent issues of drug use, it is critical for the Mexican government and civic society to develop the capacity to offer evidence-based substance abuse treatment for returning migrants with high-risk drug behaviours.The International journal on drug policy 04/2014; 25(3). DOI:10.1016/j.drugpo.2014.04.006 · 2.54 Impact Factor
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ABSTRACT: People who inject drugs (PWID) have increased risk of morbidity and mortality. We update and present estimates and trends of the prevalence of current PWID and PWID subpopulations in 96 US metropolitan statistical areas (MSAs) for 1992-2007. Current estimates of PWID and PWID subpopulations will help target services and help to understand long-term health trends among PWID populations. We calculated the number of PWID in the US annually from 1992-2007 and apportioned estimates to MSAs using multiplier methods. We used four types of data indicating drug injection to allocate national annual totals to MSAs, creating four distinct series of component estimates of PWID in each MSA and year. The four component estimates are averaged to create the best estimate of PWID for each MSA and year. We estimated PWID prevalence rates for three subpopulations defined by gender, age, and race/ethnicity. We evaluated trends using multi-level polynomial models. PWID per 10,000 persons aged 15-64 years varied across MSAs from 31 to 345 in 1992 (median 104.4) to 34 to 324 in 2007 (median 91.5). Trend analysis indicates that this rate declined during the early period and then was relatively stable in 2002-2007. Overall prevalence rates for non-Hispanic black PWID increased in 2005 as compared to other racial/ethnic groups. Hispanic prevalence, in contrast, declined across time. Importantly, results show a worrisome trend in young PWID prevalence since HAART was initiated - the mean prevalence was 90 to 100 per 10,000 youth in 1992-1996, but increased to >120 PWID per 10,000 youth in 2006-2007. Overall, PWID rates remained constant since 2002, but increased for two subpopulations: non-Hispanic black PWID and young PWID. Estimates of PWID are important for planning and evaluating public health programs to reduce harm among PWID and for understanding related trends in social and health outcomes.PLoS ONE 06/2013; 8(6):e64789. DOI:10.1371/journal.pone.0064789 · 3.53 Impact Factor
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ABSTRACT: Purpose We focus on a little-researched issue—how HIV epidemics and programs in key populations in metropolitan areas affect epidemics in other key populations. We consider: 1) How are earlier epidemics among people who inject drugs (PWID) and men who have sex with men (MSM) related to later AIDS incidence and mortality among heterosexuals?; 2) Were prevention programs targeting PWID or MSM associated with lower AIDS incidence and mortality among heterosexuals?; and 3) Was the size of the potential bridge population of non-injecting drug users (NIDUs) in a metropolitan area associated with later AIDS incidence and mortality among heterosexuals? Methods Using data for 96 large US metropolitan areas, Poisson regression assessed associations of population prevalences of HIV-infected PWID and MSM (1992); NIDU population prevalence (1992-1994); drug use treatment coverage for PWID (1993); HIV counseling and testing coverage for MSM and for PWID (1992); and syringe exchange presence (2000) with CDC data on AIDS incidence and mortality among heterosexuals in 2006 – 2008, with appropriate socioeconomic controls. Results Population density of HIV+ PWID and of NIDUs were positively related, and prevention programs for PWID negatively related, to later AIDS incidence among heterosexuals and later mortality among heterosexuals living with AIDS. HIV+ MSM population density and prevention programs for MSM were not associated with these outcomes. Conclusions Efforts to reduce HIV transmission among PWID and NIDUs may reduce AIDS and AIDS-related mortality among heterosexuals. More research is needed at metropolitan area, network and individual levels into HIV bridging across key populations and how interventions in one key population affect HIV epidemics in other key populations.Annals of epidemiology 04/2014; 24(4). DOI:10.1016/j.annepidem.2014.01.008 · 2.95 Impact Factor