ArticleThe Milbank quarterly2025
No Data, No Problem: Quantifying Latine Individuals Eligible for but Not Enrolled in Medicaid or Affordable Care Act Marketplace-Based Insurance in North Carolina.
Article in The Milbank quarterly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Information as Equity: Building a Health Data Utility to Protect Coverage for Eligible Latine and Immigrant Communities in North Carolina.North Carolina medical journal · 2025Article
- Medicaid Is an Important Driver of a Healthier North Carolina, But Not Enough to Dismantle Persistent Health Inequities.North Carolina medical journal · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Policy Points Latine communities in the United States experience disproportionately high uninsurance rates because of systemic barriers, including limited language equity, lack of provider (clinical or nonclinical) concordance, discrimination, misinformation, and immigration-related fears. Data on individuals eligible for but not enrolled in insurance programs are lacking, which prevents the identification of barriers, population impacted, and tailored approaches to meet specific needs of vulnerable communities. We propose community-informed policy strategies, including culturally tailored outreach, involvement of trusted community health workers, and improved health equity data collection. Framing data in terms of eligible but not enrolled individuals shifts the focus to existing coverage gaps and the potential for improvement, encouraging states to take more proactive enrollment actions.
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What OpenQuestion holds
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.