This new video walks through how to create customized data sets and visualizations of state-level health estimates on SHADAC's State Health Compare, allowing analysts, policymakers, and other data users to seamlessly view and download their state’s estimates.
Drawing on data from the American Community Survey (ACS) via the U.S. Census Bureau, this annually-produced SHADAC resource provides estimates of uninsurance at the state and county levels, as well as by demographic characteristics (e.g., age, race/ethnicity, and poverty level) for 2021 and comparison year 2019.
Drawing on data from the American Community Survey (ACS) via the U.S. Census Bureau, this annually-produced SHADAC resource provides estimates of uninsurance at the state and county levels, as well as by demographic characteristics (e.g., age, race/ethnicity, and poverty level) for 2021 and comparison year 2019.
Given the large rise in Medicaid/CHIP enrollment during the pandemic, 2021 federal survey estimates presented lower-than-expected rates of Medicaid/CHIP coverage and relatively small declines in uninsurance. This brief focuses on the size of the “Medicaid undercount” in key federal surveys, and takes a closer look at the misalignment between survey estimates of self-reported Medicaid coverage and enrollment counts obtained from Medicaid/CHIP administrative data.
Using data from the 2021 Minnesota Health Access Survey, this blog explores the impact of gender-based discrimination on health care access by comparing access rates among people who did and did not experience discrimination for cis men, cis women, transgender, and non-binary populations in Minnesota.
Using data from the 2021 Minnesota Health Access Survey, this blog explores the impact of gender-based discrimination on health care access by comparing access rates among people who did and did not experience discrimination for cis men, cis women, transgender, and non-binary populations in Minnesota.
SHADAC researchers Natalie Mac Arthur and Lynn Blewett recently published a journal article in Maternal and Child Health Journal that examines the medical home model and its unique contributions to child health outcomes. Their analysis drew on data from the 2016-2017 National Survey of Children’s Health (NSCH) to assess five key medical home components–usual source of care, personal doctor/nurse, family-centered care, referral access, and coordinated care–and their associations with child outcomes.