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State-by-State Medicaid Coverage for Maternal CareThe analysis shows significant state-level disparities among PRAMS participating states, highlighting where Medicaid expansion and outreach efforts have been more successful like Oklahoma, Arkansas. States with higher Medicaid coverage likely have stronger maternal health policies, while states with lower rates signal potential gaps in access. Strengthening Medicaid eligibility and enrollment could directly improve maternal and infant health outcomes. |
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Where You Live Matters for Maternal HealthThis map shows stark state-level differences in Medicaid prenatal coverage. States that go big on coverage tend to go big on healthier outcomes too. When Medicaid kicks in early, so does a healthier start for moms. This also shows that states with higher Medicaid coverage are likely to have higher prenatal coverage as well. With Oklahoma and Arkansas leading expansion. |
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Most Moms-to-be Miss the Memo in daily vitamin intakeTaking a daily multivitamin before pregnancy helps improve the health of mothers and babies and reduces complications. However, in 2011, many women were unaware of this, and the goal of 40% daily use was not met in many states. Barriers like limited healthcare access, lack of nutrition information, and gaps in Medicaid coverage contribute to the problem. Women without insurance often miss early advice about starting vitamins. |
Hey there! I’m Iqra, a grad student at Rice University, by way of pharmacy, and a deep curiosity for all things health and policy for women and girls.
For my final project in SOPE 512: Coding Software & Data Collection Methods I worked with PRAMS data which was extremely meaningful not just because it’s real, but because it represents moms, care, the stories and the struggles that too often get missed in spreadsheets. This project let me explore how Medicaid policies shape real outcomes and it’s made me even more curious about using data to push for health equity especially for the under-served communities in developed countries like the U.S.
Big thanks to Steven Perry, who makes R feel a little less intimidating and reminds us that data can (and should) tell a human story.
And when I’m not digging into maternal health stats? I’m probably exploring fictional datasets about dinosaur sightings, zombie apocalypse survival rates, or anything that lets me mix numbers with imagination 🧟🦖📊. To stay connected feel free to reach out on LinkedIn!
Thanks for reading!