Survey Research
How does the U.S. measure child vaccinations? This blog explains the development and data collection methods of the National Immunization Survey (NIS), how users can access the data, and provides a brief overview of the latest NIS data.
To help state data users adapt to a changing federal data landscape, SHADAC developed a series of Strategy Briefs; each brief provides a high-level roadmap of an alternative data gap filling strategy, including its advantages, disadvantages, and implementation considerations.
We are developing workgroups for data professionals to connect, strategize, and share knowledge related to filling critical health data gaps. We want your input to inform and shape these workgroups: Join our virtual meeting on June 23rd to provide feedback and learn more.
As part of the EMERGE Initiative, SSRS conducted a survey to better understand the impacts of changes to U.S. federal statistical agencies on data users in various industries and sectors, with SHADAC providing advisory support. A report of survey results has just been released: learn more in this… Read more
SHADAC consistently updates measures on our data tool, State Health Compare (SHC), in order to provide users with the most up-to-date available data. In this post, we review the health data sets and measures that have been recently updated with data from the ACS, CPS, BRFSS, and more.
This blog explores both the 2023 Data Release 1, the most recent T-MSIS race and ethnicity data for which a DQ assessment is available, and provides a brief analysis of data quality trends over time.
Increasingly high and unaffordable health care costs can lead to forgoing medical care, which can impact overall health. This blog explores rates of forgone care due to cost over time, by state, and by subgroup using SHADAC’s State Health Compare.
The latest data released from the Minnesota Health Access Survey (MNHA) show sharp increases in the uninsured rate in the state, increasing from 3.8% (a historic low) to 5.8% between 2023 and 2025. This equates to approximately 116,000 more Minnesotans being uninsured. Learn more in this blog.
Accurate estimates of uninsured rates (the percentage of people that do not have insurance coverage, also referred to as uninsurance) are important in understanding trends and the impacts of actions, events, or shifts in the economic landscape that may affect health insurance coverage. Learn more… Read more
In this brief for the California Health Care Foundation (CHCF), we use California Health Interview Survey (CHIS) data to better understand California health care costs, including whether and how affordability may have changed between 2019 and 2024.