ArticleHealth affairs scholar2026
Minimizing H.R.1-related Medicaid coverage disruptions for high-risk patients.
Article in Health affairs scholar, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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
0 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
Abstract
Forthcoming H.R.1 Medicaid eligibility changes requiring documentation of work, school, or volunteer activities are projected to result in significant disenrollment. High-risk beneficiaries, including those experiencing homelessness, are more likely to experience barriers in navigating the eligibility process, such as qualifying for work requirement exemptions. We utilized an existing set of linked data across the medical safety net, state Medicaid agency, housing services providers, and justice agencies as a case study to understand the prevalence of select potential medical and social exemptions from work requirements, examine safety net system utilization to identify potential touch points to prevent coverage loss, and estimate medical costs to inform planning and resourcing efforts to support continued enrollment. We found a high prevalence of Medicaid members potentially exempt from work requirements and of interactions with the medical safety net and with housing service providers specifically within the group experiencing homelessness. Increased medical costs that would likely shift to the safety net if coverage loss occurred demonstrate an opportunity for community efforts to support enrollment. Our case study can serve as a model for other communities proactively to plan for the local impact of H.R.1 eligibility changes, including data integration, coordination, and support efforts.
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