Using Photovoice to Explore Determinants of Health among Homeless and Unstably Housed Women.
Jessica L MackelprangJanessa M GravesHalle M SchulzPublished in: International journal of environmental research and public health (2024)
The lived experiences of homeless and unstably housed women, including their health-related priorities, are understudied in smaller metropolitan and rural communities. In this study, we partnered with a day center for women who experience homelessness in Spokane, Washington. We used Photovoice, a community-based participatory action research method, to explore the health-related concerns, needs, and behavior of women who are homeless or unstably housed. Participant-generated photographs and group interview data were analyzed using thematic analysis. Three themes were generated: "These are my supports", "I'm trying to make my health better", and "[My] choices are very limited". The themes illustrated individual, interpersonal, community, and societal strengths and vulnerabilities aligned with the social ecological model. Participants demonstrated resourcefulness, creativity, and hope as they strived toward health improvement. Trauma-informed, strengths-based approaches that respect the autonomy of homeless and unstably housed women and that amplify their voices are needed to minimize power imbalances in research, policy, and practice. This includes an imperative for healthcare and social work programs to ready graduates to deliver effective, empathic services by increasing their knowledge of social determinants of health and of the stigma faced by marginalized communities. Moreover, collaborating with these communities when designing, implementing, and evaluating services is critical.
Keyphrases
- healthcare
- mental health
- mental illness
- polycystic ovary syndrome
- public health
- pregnancy outcomes
- cervical cancer screening
- health information
- primary care
- breast cancer risk
- risk assessment
- climate change
- deep learning
- health insurance
- metabolic syndrome
- antiretroviral therapy
- quality improvement
- artificial intelligence