ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
Data Characterization of Medicaid: Legacy and New Data Formats in the CMS Virtual Research Data Center.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed.
- Home- and community-based care in the new generation of Medicaid administrative data.Health services & outcomes research methodology · 2025Article
- Impact of Maternal Hyperglycemic and Hypertensive Disorders on Perinatal Outcomes Across the COVID-19 Pandemic.Women's health reports (New Rochelle, N.Y.) · 2025Article
- Prediction of non emergent acute care utilization and cost among patients receiving Medicaid.Scientific reports · 2024Article
- Pregnancy-related cardiovascular conditions and outcomes in a United States Medicaid population.Heart (British Cardiac Society) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Medicaid is a significant health insurance plan providing healthcare coverage to up to a third of the population of the United Sates. We describe two different formats of Medicaid data within Center for Medicare and Medicaid Services Virtual Research Data Center. We analyze record length, age and enrollment justification among patients for both data formats. As of December 2016, the total size of Medicaid population available from CMS is 92,953,389; 45% of patients are aged 0 to 18, 26.6% are aged 19-35 and 23.2% are aged 36-64. In terms of Medicaid eligibility, 35.6% qualify due to (child) age and 26.8% qualify due to income. We also compare the volume of Medicaid to Medicare for year 2016. We conclude that Medicaid data includes patients with significant record lengths and relatively well documented enrollment justification, which are high value assets for data reuse researchers that are willing to balance known data limitations with careful analysis design and interpretation.
Indexed as
Identifiers
34457180PMC8378645What OpenQuestion holds
Registered trials
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