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.