Past negative experiences with providers, along with limited financial resources and a lack of access to transition-related services, may contribute to nonprescribed hormone use and self-performed surgeries. Promoting training initiatives for health care providers and jurisdictional support for more accessible services may help to address trans people's specific needs.

BackgroundIt is unclear whether weighted or unweighted regression is preferred in the analysis of data derived from respondent driven sampling. Our objective was to evaluate the validity of various regression models, with and without weights and with various controls for clustering in the estimation of the risk of group membership from data collected using respondent-driven sampling (RDS).MethodsTwelve networked populations, with varying levels of homophily and prevalence, based on a known distribution of a continuous predictor were simulated using 1000 RDS samples from each population. Weighted and unweighted binomial and Poisson general linear models, with and without various clustering controls and standard error adjustments were modelled for each sample and evaluated with respect to validity, bias and coverage rate. Population prevalence was also estimated.ResultsIn the regression analysis, the unweighted log-link (Poisson) models maintained the nominal type-I error rate across all populations. Bias was substantial and type-I error rates unacceptably high for weighted binomial regression. Coverage rates for the estimation of prevalence were highest using RDS-weighted logistic regression, except at low prevalence (10%) where unweighted models are recommended.ConclusionsCaution is warranted when undertaking regression analysis of RDS data. Even when reported degree is accurate, low reported degree can unduly influence regression estimates. Unweighted Poisson regression is therefore recommended.

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Data are limited about the role of initiators in the transition to injection drug use. We examined the prevalence and predictors of giving someone their first injection using baseline data from a study involving 98 injection drug users (IDUs) in Toronto, Canada. Participants were recruited in 2011 using respondent-driven sampling. Findings revealed that 27.4 % (95 % CI 14.7-42.2) of IDUs had ever given anyone their first injection. In the logistic regression analysis, being unemployed and having ever spoken positively about injecting to a non-injector were associated with giving someone their first injection. Furthermore, the odds of initiating non-IDUs increased with the number of years that IDUs had been injecting. Our results provide support for interventions that aim to reduce the initiation of non-IDUs; however, further research is needed to shed light on the link between unemployment and initiation of non-injectors.

BackgroundThe purpose of this study was to estimate awareness and opinions about supervised smoking facilities (SSFs) for smoking crack cocaine and other stimulants and make comparisons with awareness and opinions about supervised injection facilities (SIFs) in Ontario, Canada.MethodsWe used data from a 2009 telephone survey of a representative adult sample. The survey asked about awareness of, and level of support for, the implementation of SSFs and SIFs. Data were analysed using statistical models for complex survey data, which account for stratified sampling and incorporate sampling weights.ResultsA total of 1035 participated in the survey. Significantly fewer had knowledge about SSFs (17.9 %) than about SIFs (57.6 %). Fewer strongly agreed with implementation of SSFs (19.6 %) than SIFs (28.3 %). Just over half (51.1 %) of participants somewhat agreed or disagreed, 15.7 % strongly agreed, and 10.6 % strongly disagreed with implementing both SSFs and SIFs.ConclusionsMembers of the public in Ontario had little knowledge of SSFs compared to SIFs. Recent federal government changes in Canada may provide the leadership environment necessary to ensure that innovative, evidence-based harm reduction programs such as SSFs are developed and implemented.

Gay and bisexual men (GBM) continue to have a disproportionately higher HIV incidence than any other group in Canada and the United States. This study examined how multiple co-occurring psychosocial problems, also known as a syndemic, contribute to high-risk sexual behavior among GBM. It also examined the impact of early life adversity on high-risk sexual behavior as mediated by syndemic severity. A sample of 239 GBM completed self-report questionnaires at baseline and 6-month follow-up. Syndemic variables included depression, polysubstance use, and intimate partner violence. Early life adversity variables measured retrospectively included physical and verbal bullying by peers and physical and sexual abuse by adults. A Cochran–Armitage trend test revealed a proportionate increase between number of syndemic problems and engagement in high-risk sex (p < .0001), thereby supporting syndemic theory. All early life adversity variables were positively correlated with number of syndemic problems. A bootstrap mediation analysis revealed indirect effects of two types of early life adversity on high-risk sex via syndemic severity: verbal bullying by peers and physical abuse by adults. There was also an overall effect of physical bullying by peers on high-risk sexual behavior, but no specific direct or indirect effects were observed. Consistent with syndemic theory, results provide evidence that certain types of early life adversity impact high-risk sex later in life via syndemic problems. Behavioral interventions to reduce sexual risk among GBM should address anti-gay discrimination experienced before adulthood as well as adult psychological problems.

Addition of a full-risk assessment to a coordinator-based program significantly improved treatment rates within 6 months of screening.

Client-based information systems can yield data to address issues of system accountability and planning, and contribute information related to changing patterns of substance use in treatment and, indirectly, general populations. The Drug and Alcohol Treatment Information System (DATIS) monitors the number/types of clients treated in approximately 170 publicly-funded addiction treatment agencies in Ontario. The purpose of this study was to estimate the caseload of addiction treatment agencies, and describe important characteristics of clients, their patterns of service utilization and trends over-time from 2005 to 2010. In 2009–2010, 47,065 individuals were admitted to treatment. Since 2005–2006, there has been an increase in adolescents/youth in treatment, and a decrease in the male-female gender ratio. Alcohol problems predominated, but an increasing proportion of clients used cannabis and prescription opioids. DATIS is an evolving system and an integral component of Ontario’s performance measurement system. Linkages with healthcare information systems will allow for longitudinal tracking of client health-related outcomes.