Medicaid policy data for evaluating eligibility and programmatic changes
Medicaid and the Children's Health Insurance Program (CHIP) provide health insurance coverage to more than 90 million Americans as of early 2023. There is substantial variation in eligibility criteria, application procedures, premiums, and other programmatic characteristics across states and ov...
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Published in | BMC research notes Vol. 16; no. 1; pp. 1 - 250 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
BioMed Central Ltd
03.10.2023
BioMed Central BMC |
Subjects | |
Online Access | Get full text |
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Summary: | Medicaid and the Children's Health Insurance Program (CHIP) provide health insurance coverage to more than 90 million Americans as of early 2023. There is substantial variation in eligibility criteria, application procedures, premiums, and other programmatic characteristics across states and over time. Analyzing changes in Medicaid policies is important for state and federal agencies and other stakeholders, but such analysis requires data on historical programmatic characteristics that are often not available in a form ready for quantitative analysis. Our objective is to fill this gap by synthesizing existing qualitative policy data to create a new data resource that facilitates Medicaid policy research. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 |
ISSN: | 1756-0500 1756-0500 |
DOI: | 10.1186/s13104-023-06525-6 |