• Data from multiple sources, including qualitative data, are needed to fully understand the dynamics of the enrollment/ disenrollment process.

  • Separating reasons for disenrollment from SCHIP—ineligibility, application burden, disinterest—is important. More uniform categories would facilitate comparisons across the states.

  • Knowing the subsequent insurance status of children who leave SCHIP and the reasons for their disenrollment would allow policy makers to better understand how state policies, such as integrated Medicaid/SCHIP program and passive reenrollment, affect retention rates in the program.

The National Academies of Sciences, Engineering, and Medicine
500 Fifth St. N.W. | Washington, D.C. 20001

Copyright © National Academy of Sciences. All rights reserved.
Terms of Use and Privacy Statement