Tara L Maudrie, Cassandra J Nguyen, Valarie Blue Bird Jernigan, Kerry Hawk Lessard, Dustin Richardson, Joel Gittelsohn, Victoria M O'Keefe
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引用次数: 0
Abstract
Urban American Indian/Alaska Native peoples experience disproportionate levels of food insecurity when compared to the general US population. Through a collaborative research partnership between Native American Lifelines of Baltimore, an Urban Indian Health Program, and a Johns Hopkins Bloomberg School of Public Health student-led research team, food security was identified as a priority issue. A sequential explanatory mixed methods study was planned to explore food security and food sovereignty in the Baltimore Native community prior to the COVID-19 pandemic. Due to the local impact of COVID-19, a community-based participatory research approach guided the community-academic team to revise the original study and increase understanding of how the pandemic impacted food security in the community. This article highlights the lessons learned and strengths of using a community-based participatory approach to guide adaptations made due to COVID-19 to this research study. By utilizing a co-learning approach and emphasizing flexibility, we were able to collaboratively collect meaningful data to drive future community solutions to food insecurity while building an evidence base for policy changes to better support urban Native food security.
期刊介绍:
American Indian and Alaska Native Mental Health Research: The Journal of the National Center is a professionally refereed scientific journal. It contains empirical research, program evaluations, case studies, unpublished dissertations, and other articles in the behavioral, social, and health sciences which clearly relate to the mental health status of American Indians and Alaska Natives. All topical areas relating to this field are addressed, such as psychology, psychiatry, nursing, sociology, anthropology, social work, and specific areas of education, medicine, history, and law. Through a standardized format (American Psychological Association guidelines) new data regarding this special population is easier to retrieve, compare, and evaluate.