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Phone: (843) 805-6930
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Miss Jane's Building (Edisto Library Temporary Location)
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John L. Dart Library
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Using Modernized Medicaid Data to Advance Evidence-Based Improvements in Maternal Health.
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- Author(s): Daw, Jamie R.; Auty, Samantha G.; Admon, Lindsay K.; Gordon, Sarah H.
- Source:
American Journal of Public Health. Jul2023, Vol. 113 Issue 7, p805-810. 6p. - Source:
- Additional Information
- Subject Terms: MATERNAL health services; CHILDBIRTH; EVALUATION of medical care; HEALTH services accessibility; EVIDENCE-based medicine; HEALTH status indicators; HEALTH insurance reimbursement; MEDICAL care use; QUALITY assurance; CHILD health services; MEDICAID; FILES (Records); HEALTH equity; MEDICAL research; WOMEN'S health
- Subject Terms:
- 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) [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Subject Terms:
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