Achievements
At the Southern Center for Maternal Health Equity, we are excited to share the recognition our work is receiving! This page highlights key achievements, awards, milestones, and initiatives that reflect our commitment to addressing disparities, empowering communities, and fostering impactful change in maternal and child health.
2024 IMPROVE Maternal Health Data Mosaic Awards
The Southern Center for Maternal Health Equity is proud to be recognized with two 2024 IMPROVE Maternal Health Data Mosaic Awards. The IMPROVE Maternal Health Data Mosaic Awards are prestigious honors that recognize excellence in maternal health research and data innovation. These awards celebrate groundbreaking studies that leverage data to address pressing challenges in maternal health, particularly disparities that impact vulnerable populations. With categories focused on innovative methodologies, compelling data usage, and impactful storytelling, the awards aim to advance evidence-based solutions and inspire actionable change. Recipients are selected for their ability to push boundaries in maternal health research and contribute to equitable, effective healthcare for all. Our study, “Influence of the COVID-19 Pandemic on Participation in Connected MOM,” earned the award for RP1: Most Compelling Use of Primary Data Pre-During-Post COVID-19, showcasing our ability to analyze critical changes in maternal health participation during the pandemic. Additionally, our analysis, “Birthweight was not associated with the interval of time between COVID diagnosis and delivery,” received the award for RP3: Most Innovative Use of Data Visuals, highlighting our commitment to using data storytelling to convey complex findings. These awards highlight our commitment to leveraging data to understand and address critical shifts in maternal health during and beyond the pandemic.
RP1: Most compelling use of primary data pre-during-post COVID-19: Influence of the COVID-19 Pandemic on Participation in Connected MOM; Emily Harville, Elizabeth Howard, Sherri Longo, Susan Perez, Abigail Gamble, Kiara Cruz, Joey Biggio
Click the image to view a full-size version of the poster.
RP3: Most innovative use of data visuals: Birthweight was not associated with the interval of time between COVID diagnosis and delivery; Gail Ohaegbulam, Wondwosen Yimer, Kedra Wallace, Brian Christman, William Hillegass, Abigail Gamble, Rachael Morris
Click the image to view a full-size version of the poster.
This grant U54HD113159 is supported by the Improve Initiative. This content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
CONTACT
scmhe@tulane.edu
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