Travis Salway is an Affiliated Researcher in the Clinical Prevention Services division at BCCDC. He is also an Assistant Professor of Health Sciences at Simon Fraser University and a Research Scientist at the Centre for Gender and Sexual Health Equity.
Dr. Salway maintains three active areas of research related to stigma and health.
1) Population health inequities in the context of social stigma:
Dr. Salway uses a broad range of approaches (including epidemiology, qualitative research, and mixed methods) to understand how and why some socially-defined populations (e.g., sexual minority people) experience multiple, co-occurring and avoidable health disparities. Much of this research focuses on mental (e.g., suicide, anxiety) and sexual health outcomes.
2) Social epidemiologic methods in the context of stigma:
In addition to causing ill health, social stigma challenges the ways in which we accurately sample and measure stigmatized populations. Thus, Dr. Salway investigates how to characterize and correct for selection and information biases in socially relevant health research.
3) Tailored and equity-informed public health service:
One consequence of stigma and stress processes is that socially stigmatized individuals may avoid, delay, or conceal information during healthcare encounters and thereby miss opportunities for early/preventive mental healthcare. Dr. Salway therefore works with public health and community partners to describe how public health settings (e.g., sexual health clinics) can address unmet healthcare needs of sexual minority clients. This research additionally explores the co-occurrence and interaction of sexual and mental health among sexual health service clients.
Dr. Salway is a social epidemiologist (PhD, University of Toronto, 2017) whose research investigates population health inequities in the context of stigma. He has spent the past two decades working with sexual minority (lesbian, gay, bisexual, queer) communities to inform and improve public health interventions.
For a list of publications, see NCBI