SHADAC Expertise

Data Analytics and Visualization

Data Analytics and Visualization

SHADAC is a nationally recognized research center in the collection and analysis of survey data and has long maintained specific expertise in the access and use of federal data, sought after by a variety of clients. SHADAC’s State Health Compare, supported by the Robert Wood Johnson Foundation, is a user-friendly and easily accessible online data tool for obtaining state-level estimates on a range of topics related to health and health care. Additionally, SHADAC researchers are experienced in effective visualization in the form of maps, infographics, state profiles, and chartbooks, which can play a critical role in the dissemination of policy-relevant data and communication of data implications.

Related SHADAC work

SHADAC's State Health Compare
Analysts and policymakers can use State Health Compare to view measures of insurance coverage, access, cost, utilization, and outcomes—as well as social and economic measures related to health. State Health Compare allows users to compare these measures across states and look at trends over time through user-generated maps, bar charts, trend lines, and tables. Users can also explore these measures within states by characteristics (e.g., age, race/ethnicity, and education level). There are currently over 50 measures drawn from 16 data sources available on State Health Compare, drawn from the most currently available data, and estimates are available for timespans ranging between 2 and 20 years. SHADAC also provides ongoing updates to 16 of the measures maintained by the Robert Wood Johnson Foundation (RWJF) on its Building a Culture of Health website.

On-Demand Analysis of Federal Survey Data
On a task-by-task basis, SHADAC conducts quantitative analyses for the Medicaid and CHIP Payment and Access Commission (MACPAC) using a broad array of federal survey data, including the American Community Survey (ACS), National Ambulatory Medical Care Survey (NAMCS), National Electronic Health Records Survey (NEHRS), National Health Interview Survey (NHIS), National Survey of Children's Health (NSCH), National Survey on Drug Use and Health (NSDUH), Medical Expenditure Panel Survey (MEPS), Pregnancy Risk Assessment Monitoring System (PRAMS), and the Survey of Income and Program Participation (SIPP), among others. As part of this work, SHADAC assists MACPAC in scaling work to meet their information needs, producing sound estimates, and developing documentation that supports the reproducibility of results over time. Key SHADAC staff execute diverse statistical methods ranging from simple descriptive statistics and t-tests to multivariate logistic regression and maintain Special Sworn Status to facilitate access and use of restricted data at the Minnesota Census Research Data Center (MnRDC). Our work has contributed to the following products: June 2020 Report to Congress on Medicaid and CHIPDecember 2019 MACStats: Medicaid and CHIP Data BookAccess in Brief: Rural and Urban Health CareMedicaid Access in Brief: Adolescents’ Use of Behavioral Health Services; Access in Brief: Pregnant Women and Medicaid.

IPUMS Health Surveys (2006-Present)
Since the early 2000s, SHADAC’s Director has led an effort to harmonize the data and documentation produced by the NHIS, which was expanded in 2016 to include the MEPS. The IPUMS Health Survey project allows users to create free, individual-level customized data extracts for analysis to support time trend analysis through consistent variable coding and production of publically available microdata. This work involves the creation of more than 2,000 integrated variables with comprehensive metadata, and through this work SHADAC has developed expertise and a deep understanding of the publically available NHIS and MEPS data, supporting our work using NHIS restricted data in the RDC.

AHRQ Healthcare Data Analytics and Statistical Products
Under subcontract to IMPAQ International (prime), SHADAC provides analytic and research support for studies of health care quality, patient outcomes, access, care coordination, utilization, and expenditures using the Insurance Component of the Medical Expenditure Panel Survey (MEPS-IC) and the Household Component of the Medical Expenditure Panel Survey (MEPS-HC) data from the Agency for Healthcare Research and Quality (AHRQ). SHADAC’s work includes supporting regularly scheduled deliverables and statistical briefs, and responding to ad hoc, quick-turnaround requests using diverse AHRQ and U.S. Census Bureau data sets.

Recent SHADAC data visualization products
Click on any title below to view the product.

Interactive Maps
State-Specific Surveys Encompassing Residents’ COVID-19 Experiences
2019 ACS Tables: State and County Uninsured Rates, with Comparison Year 2018
States’ Reporting of COVID-19 Health Equity Data
Health Insurance Coverage: Uninsurance by Metro Areas
Impacts of the Affordable Care Act (ACA) on Insurance Coverage by Congressional District

Infographics
A Deeper Dive on Employer-sponsored Health Insurance
2019 ACS: Rising National Uninsured Rate Echoed Across 19 States; Virginia Only State to See Decrease
Internet Access Measures the Impact of the Digital Divide and COVID-19
BRFSS Spotlight Series: Smoking and -cigarette use, binge drinking, and obesity
Affordability and Access to Care in 2018: Examining Racial and Educational Inequities across the United States
Housing Affordability Matters: Measuring and Addressing the Burden of Unaffordable Rents
Kids' Health Data Highlights: National Survey of Children’s Health Measures

State Profiles
Minnesota's Uninsured Data Tool that Identifies and Characterizes the Uninsured Population
State-level Trends in Employer-sponsored Health Insurance (ESI), 2015-2019
Suicide Rates on the Rise: Trends and Variation across the Nation and in the States from 2000 to 2018
50-State Analysis of Drug Overdose Trends: The Evolving Opioid Crisis Across the States
Educational Attainment and Access to Health Care
Children's Health Insurance Coverage, 2013-2016

Chartbooks
SHADAC COVID-19 Survey Chartbooks
State-Level Trends in Children's Health Insurance Coverage, 2013-2016