Using Modernized Medicaid Data to Advance Evidence-Based Improvements in Maternal Health

Author:

Daw Jamie R.1,Auty Samantha G.1,Admon Lindsay K.1,Gordon Sarah H.1

Affiliation:

1. Jamie R. Daw is with the Department of Health Policy and Management, Columbia University Mailman School of Public Health, New York, NY. Samantha G. Auty and Sarah H. Gordon are with the Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA. Lindsay K. Admon is with the Department of Obstetrics and Gynecology and the Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.

Abstract

Medicaid is the primary payor for nearly half of all births in the United States and plays a disproportionate role in covering maternity care for low-income people, rural people, and minoritized racial groups. Newly available, modernized Medicaid claims data—the Transformed Medicaid Statistical Information System Analytic Files (TAF)—offer a significant opportunity to conduct novel research that can drive the development of evidence-based programs and policies for Medicaid beneficiaries before, during, and after pregnancy. Yet, the public health research community has so far underused the TAF for maternal health research. We provide an overview of the TAF and how they compare to other major data sets available to study maternal health. We highlight some major limitations of the TAF and offer strategies to maximize the potential of these novel data to accelerate timely, rigorous research to improve maternal health and health equity. (Am J Public Health. 2023;113(7):805–810. https://doi.org/10.2105/AJPH.2023.307287 )

Publisher

American Public Health Association

Subject

Public Health, Environmental and Occupational Health

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