Earl Nowgesic
Earl Nowgesic is Ojibwe from Kiashke Zaaging Anishinaabek (Gull Bay First Nation). He is a Doctor of Philosophy candidate in Public Health Science at the University of Toronto (specializing in Social and Behavioural Health Sciences). Earl is a Canadian Institutes of Health Research (CIHR) Fellowship Awardee in Health Services/Population Health HIV/AIDS Research. He is also a Research Awardee of the CIHR Social Research Centre in HIV Prevention based at the University of Toronto. Earl has a Master of Health Science in Community Health and Epidemiologyfrom the University of Toronto and a Bachelor of Science in Nursing from the University of Ottawa. He is a graduate of the Field Epidemiology Training Program of Health Canada, Laboratory Centre for Disease Control. Earl has a Certificate in Advanced Training in Qualitative Health Research Methodology from the University of Toronto, Centre for Critical Qualitative Health Research. He has over 20 years of experience working in the health sector.
KTE for Indigenous Red Ribbon Storytelling Study
Aboriginal people living with HIV/AIDS (APLWHA) are less likely than non-Aboriginal people living with HIV/AIDS to access and adhere to HIV antiretroviral therapy (ARV). To date, most studies examining this issue aim for generalization and do not focus enough on the particularities of contextual factors. My research topic is access to, acceptance of and adherence to ARV therapy among APLWHA in the Saskatoon and Prince Albert areas of Saskatchewan, Canada within the context of personal, interpersonal and socio-structural factors. My community partner is the Saskatoon HIV/AIDS Research Endeavour. The design of my study is critical, indigenous qualitative research using a community-based participatory research orientation. The main method employed in my study is individual interviews with support from participant observation and indigenous sharing circle interviews. I will use an integrative approach to organize my data according to pre-existing theoretical categories as well as explanations of the phenomena that come from the data.
