Medicaid policy data for evaluating eligibility and programmatic changes.

Autor: Shafer PR; Department of Health Law, Policy, and Management School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02118, USA. pshafer@bu.edu., Katchmar A; Department of Health Law, Policy, and Management School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02118, USA., Callori S; Alix School of Medicine, Mayo Clinic, 200 1st Street SW, Rochester, MN, 55905, USA., Alam R; Health Management Associates, 31 Saint James Avenue Suite 920, Boston, MA, 02116, USA., Patel R; James E. Rogers College of Law, University of Arizona, 1201 East Speedway Boulevard, Tucson, AZ, 85721, USA., Choi S; Department of Population Health, Grossman School of Medicine, New York University, 180 Madison Avenue, New York, NY, 10016, USA., Auty S; Department of Health Law, Policy, and Management School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02118, USA.
Jazyk: angličtina
Zdroj: BMC research notes [BMC Res Notes] 2023 Oct 03; Vol. 16 (1), pp. 250. Date of Electronic Publication: 2023 Oct 03.
DOI: 10.1186/s13104-023-06525-6
Abstrakt: Objectives: 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.
Data Description: Our source data were the 50-state surveys of Medicaid and CHIP eligibility, enrollment, and cost-sharing policies, and budgets conducted near annually by KFF since 2000, which we coded through 2020. These reports are a rich source of point-in-time information but not operationalized for quantitative analysis. Through a review of the measures captured in the KFF surveys, we developed five Medicaid policy domains with 122 measures in total, each coded by state-quarter-1) eligibility (28 measures), 2) enrollment and renewal processes (39 measures), 3) premiums (16 measures), 4) cost-sharing (26 measures), and 5) managed care (13 measures).
(© 2023. BioMed Central Ltd., part of Springer Nature.)
Databáze: MEDLINE
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