INNOVATIVE THINKING
RIGOROUS APPROACHES
REAL WORLD IMPACT

 

Project

Monitoring of Medicaid Chronic Disease Incentives Program

Official Title
Medicaid Incentives for Prevention of Chronic Diseases
Location(s)
California, Connecticut, Hawaii, Minnesota, Montana, Nevada, New Hampshire, New York, Texas, Wisconsin
Dates
9/2011 – 9/2016
Market
IMPAQ Health Practice Areas
Practice Areas
Administrative Health Data
Aging and Disability
Federal, State & Local Administrative Data
Services
Technical Assistance
Data Collection & Operations
Analysis & Interpretation
Client
Centers for Medicare & Medicaid Services
Sub To
Econometrica, Inc.
Methodologies
Data Collection, Analysis & Reporting
Performance Metrics Development
Quantitative Data Analysis

IMPAQ supported the Centers for Medicare & Medicaid Services (CMS) with technical assistance to 10 state Medicaid agencies that are implementing incentive programs to prevent chronic diseases such as smoking, obesity, diabetes, hypertension, and high cholesterol.

We collected, validated, monitored, and evaluated the data from these programs. The quarterly program monitoring reports we generated helped CMS track the programs’ implementation. In addition, the analysis of the data by the evaluator assessed its effectiveness and generate lessons learned.

We began by conducting meetings with the states and their evaluators to learn about the individual programs. With this information, we designed 10 Minimum Data Sets (MDS) to capture the features of each program and facilitate interstate comparisons. We used our rigorous data validation techniques and sophisticated SAS programs to ensure there was high-quality data for the monitoring and evaluation.

The methods we used to develop the MDS are applicable across CMS’ multi-site models, and our quantitative data collection instrument design, data collection, data validation, and program monitoring skills are in demand for the implementation and evaluation of a range of health care pricing and delivery programs.

Our team included senior researchers, analysts, and SAS programmers. They have decades of experience in quantitative data set design, data collection, data validation, and statistical programming, as well as substantive knowledge of Medicaid, chronic disease prevention and management, and performance measurement.