Project Overview

Objective

To support the analytical needs of CMS, Mathematica supports the T-MSIS and Performance Indicator data products and analyzes and disseminates data about and Medicaid and CHIP that support CMS monitoring and oversight, policy implementation, and technical assistance activities. 

Project Motivation

By improving the quality of the Federal Medicaid and CHIP administrative data and developing analytical tools, CMS can more easily use data to strengthen the health care system and promote health and health equity for Medicaid and CHIP enrollees.

Partners in Progress

IBM

Prepared For

U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services, Center for Medicaid and CHIP Services, Data and Systems Group (DSG)

The Medicaid and CHIP programs provide care for millions of Americans by providing health care coverage for the most vulnerable populations, including children, pregnant women, low-income adults, persons with disabilities, and low-income seniors.

Mathematica develops tools for advanced data quality detection and dissemination as well as data products and analytic reports. Under this contract, we improve the quality of T-MSIS and Performance Indicator (PI) data through direct technical assistance to states and maintenance of self-service data quality monitoring tools. We produce the research-optimized version of the T-MSIS data, known as the T-MSIS Analytic Files (TAFs), and end user materials. We support CMCS use of TAF data by producing many analytic products and reports across business owners, such as the Early and Periodic Screening, Diagnostic and Treatment (EPSDT) program; the Medicaid and CHIP Core Measure Sets; and the Medicaid and CHIP Scorecard. The team has produced congressionally-mandated reports on substance use disorders (known as the Substance Use Disorder Data Book) and the Medicaid non-emergency medical transportation benefit. In addition, during the COVID public health emergency, Mathematica helped CMCS monitor the impacts of COVID-19 among Medicaid and CHIP beneficiaries by developing a data visualization tool that tracked COVID-19-related conditions, enrollment, and service utilization on a month-by-month basis. We leveraged this experience to develop quality measures relating to equity and health-related social needs to co-create with CMCS an equity-focused dashboard. We also provide support to end users of the data through a support desk and the maintenance of tools, such as TAF DQ Atlas and PI dashboard.

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Project Impact

After helping CMS stand up the new national data system for Medicaid and CHIP—known as the Transformed Medicaid Statistical Information System (T-MSIS)—and research optimized data files (the T-MSIS Analytic Files or TAF), Mathematica’s MACBIS team has continued to work with CMS to strengthen the quality of T-MSIS and Performance Indicator data, including developing an approach for imputing missing race and ethnicity data; helping CMS use the data to monitor the effects of the Covid-19 Public Health Emergency on Medicaid and CHIP; designing approaches to using the data to replicate state EPSDT reports and select Core set measures; and designing dashboards to monitor health equity issues in Medicaid and CHIP, pregnancy outcomes of enrollees, and opioid use.

- Carol Irvin, Project Director

Related Staff

Carol  Irvin

Carol Irvin

Senior Fellow

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Christine Fulton

Christine Fulton

Senior Managing Consultant

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Linda Nguyen

Linda Nguyen

Researcher

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Chris Bory

Chris Bory

Principal Researcher

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Mary Allison Geibel

Mary Allison Geibel

Researcher

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Melissa Sanchez

Melissa Sanchez

Researcher

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Derek  Winsor

Derek Winsor

IT Program Manager

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Kristin Maurer

Kristin Maurer

Senior Researcher

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Cara Stepanczuk

Cara Stepanczuk

Researcher

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