Tiffany Veinot (University of Michigan)

Leveling Up: Developing Upstream Health Informatics Interventions to Reduce Health Disparities

Health disparities are differences in disease incidence, prevalence, morbidity, mortality, or survival in one group compared to the general population. Health disparities are a product of macro-level social, political and economic mechanisms and intermediary social determinants of health such as living and working conditions and social networks. This presentation makes the case for “upstream” informatics interventions that focus on the social, political, economic and physical contexts in which health is produced. The presentation outlines key findings from three community-based research projects focused on developing and evaluating upstream informatics interventions. The first leverages social media to assess food-related resources in socioeconomically diverse neighborhoods, and will ultimately result in a decision support tool for public health officials, urban planners, policy makers and nonprofit organizations. The second focuses on stigma reduction in social networks to enhance the uptake of HIV testing among men who have sex with men. The result will be a blended online/offline intervention leveraging social networks. The third aims to reduce hemodialysis complications disproportionately experienced by women. The cluster-randomized, pragmatic trial compares the effectiveness of technology-mediated behavioral interventions for healthcare providers (tablet-based diagnostic checklist and team training) and for patients (tablet-based education and peer mentoring). The presentation concludes with recommendations for researchers and practitioners who aspire to enhance health equity with informatics.

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