Data analysis is an essential tool that state Medicaid agencies can use to make evidence-based policy and program decisions. Data can help states effectively understand population health needs, target programs where they are needed most, evaluate policy changes, and demonstrate the value of policies to stakeholders.

This guide offers considerations for Medicaid agencies interested in using data analysis to inform policy and program design and implementation. It draws on insights from technical assistance provided through the Continuous Glucose Monitor Access Accelerator, a national initiative led by the Center for Health Care Strategies with support from The Leona M. and Harry B. Helmsley Charitable Trust to help states expand access to continuous glucose monitors (CGMs) within Medicaid. While the project focuses on improving support for people living with diabetes, the insights in this guide are generalizable to Medicaid agencies interested in using data to enhance a broad range of policies and programs that improve the care and services for Medicaid members.