ReviewAmerican journal of public health2023
Using Modernized Medicaid Data to Advance Evidence-Based Improvements in Maternal Health.
Review in American journal of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Completeness and Quality of Data for Children in Medicaid Comprehensive Managed Care Compared to Fee-for-Service, 2001-2019.Health services research · 2025Observational
- Linking deliveries to newborns using nationwide Medicaid data.BMC medical research methodology · 2025Article
- Medicaid-covered health care visits during the postpartum year: Variation by enrollee characteristics and state.Health affairs scholar · 2025Article
- The limitations of using Medicaid administrative data in abortion research.Contraception · 2025Article
- Home- and community-based care in the new generation of Medicaid administrative data.Health services & outcomes research methodology · 2025Article
- Pregnancy episodes in All of Us: harnessing multi-source data for pregnancy-related research.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Public Maternal Health Dashboards in the United States: Descriptive Assessment.Journal of medical Internet research · 2024Article
- Differences in Self-Reported and Billed Postpartum Visits Among Medicaid-Insured Individuals.JAMA network open · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
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. (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.