Literature DB >> 25906961

Program Churning and Transfers Between Medicaid and CHIP.

Sean M Orzol1, Lauren Hula2, Mary Harrington2.   

Abstract

OBJECTIVE: In the 10 states that are the focus of the Children's Health Insurance Program Reauthorization Act of 2009 evaluation, we analyze in detail the states' recent progress in retaining children in public coverage and public coverage churning.
METHODS: We used administrative data spanning a five-and-a-half-year period collected from 10 study states-Alabama, California, Florida, Louisiana, Michigan, New York, Ohio, Texas, Utah, and Virginia-to analyze the extent to which children return to the same program a short time after disenrollment and the extent to which transfers between Medicaid and Children's Health Insurance Program (CHIP) lead to public coverage gaps.
RESULTS: Our analysis yielded 3 key findings. First, many children moved between Medicaid and CHIP; while most transitioned seamlessly, coverage gaps occurred for as many as 40%, depending on the type of transition. Second, churning continued to be a concern for public coverage programs, with approximately 21% of Medicaid disenrollees and 10% of separate CHIP disenrollees returning to the same program within 7 months. Third, we found sizable differences in rates of program churning and nonseamless program transfers across the 10 study states.
CONCLUSIONS: Notable variation existed across programs and states, which persisted over the period in public program churning. These results suggest the need for continued efforts to simplify renewal processes, particularly in state Medicaid programs, along with the adoption of processes that improve coordination across programs and policies that simplify these transfers.
Copyright © 2015 Academic Pediatric Association. All rights reserved.

Entities:  

Keywords:  CHIP; Medicaid; children; churning; coverage transfers

Mesh:

Year:  2015        PMID: 25906961     DOI: 10.1016/j.acap.2015.02.006

Source DB:  PubMed          Journal:  Acad Pediatr        ISSN: 1876-2859            Impact factor:   3.107


  3 in total

1.  Using All-Payer Claims Databases to Study Insurance and Health Care Utilization Dynamics.

Authors:  Michael Dworsky
Journal:  J Gen Intern Med       Date:  2017-10       Impact factor: 5.128

2.  Medicaid Coverage Disruptions Among Children Enrolled in North Carolina Medicaid From 2016 to 2018.

Authors:  Rushina Cholera; David Anderson; Sudha R Raman; Bradley G Hammill; Bethany DiPrete; Alexander Breskin; Catherine Wiener; Nuvan Rathnayaka; Suzanne Landi; M Alan Brookhart; Rebecca G Whitaker; Janet Prvu Bettger; Charlene A Wong
Journal:  JAMA Health Forum       Date:  2021-12-23

3.  Accounting for study participants who are ineligible for linkage: a multiple imputation approach to analyzing the linked National Health and Nutrition Examination Survey and Centers for Medicare and Medicaid Services' Medicaid data.

Authors:  Jennifer Rammon; Yulei He; Jennifer D Parker
Journal:  Health Serv Outcomes Res Methodol       Date:  2018-08-16
  3 in total

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