Seeking to reclaim his former seat, Ohio Democrat Sherrod Brown is countering attacks regarding transgender policy by shifting the focus to healthcare records and legislative voting history.
In a recent Brown campaign commercial, several constituents express confusion over why opponents are prioritizing transgender issues when everyday pressures—such as rising costs for groceries and utilities—are far more pressing. One voter in the spot specifically claims that Husted voted “to kick 490,000 Ohioans off their healthcare.”
While this figure aligns reasonably well with independent projections, the exact long-term impact and the final number of affected individuals remain subject to how these policies are ultimately implemented.
The 2025 Legislation Supported by Husted
To back up the ad’s claim, Brown’s team pointed to Husted’s 2025 vote in favor of President Donald Trump’s major tax and spending package, the One Big Beautiful Bill Act. The measure narrowly cleared the Senate in a 51-50 vote, with Vice President JD Vance casting the tie-breaking vote.
While the sweeping legislation addressed multiple areas—including the extension of expiring tax brackets and tax relief for tips and overtime—its healthcare provisions are at the core of the political dispute.
A primary component of the bill involved Medicaid, the joint federal-state insurance program for low-income and disabled individuals. The law introduced mandatory work requirements for recipients. Proponents argued this would encourage employment, whereas critics contended that most beneficiaries were already working and that complicated administrative hurdles would inadvertently force people off the program.
Additionally, the legislation narrowed the criteria determining which lawfully present immigrants qualify for coverage.
The nonpartisan Congressional Budget Office (CBO) estimated that these measures would slash federal healthcare spending by more than $1 trillion over the course of a decade, ultimately leaving an additional 10 million Americans without insurance.
Husted’s campaign defended his vote, stating that the legislation redirected Medicaid resources toward the populations who need them most.
Amy Natoce, a spokesperson for Husted, explained that the legislation implemented “modest work requirements targeted at able-bodied adults,” which helped prioritize resources for “Ohioans living with disabilities, kids living in poverty and the elderly.”
Republicans who authored the bill notably declined to extend pandemic-era enhanced subsidies for Affordable Care Act (ACA) marketplace plans. Democrats warned that letting these subsidies lapse would cause widespread coverage losses due to unaffordable monthly premiums.
Husted’s legislative record regarding the subsidies is more complex. Although he initially voted for the budget package without an extension, he subsequently sponsored a standalone bill to prolong the ACA tax credits for two years, coupled with other restrictions, such as barring lawfully present immigrants from receiving them. That proposal failed to gain cosponsors and stalled, while a separate House-passed effort to extend the subsidies ultimately died in the Senate.
Evaluating the Estimates on Coverage Losses
The 490,000 figure cited by Brown’s campaign originated from CBO data compiled by Democratic staff on the Joint Economic Committee prior to the bill’s passage. Their analysis concluded that roughly 489,815 Ohioans would lose coverage over a 10-year span as a result of the new Medicaid rules and the expiration of ACA subsidies.
Subsequently, in August 2025, the nonpartisan health policy organization KFF analyzed the CBO data to project state-by-state insurance losses. Accounting for implementation uncertainties, KFF estimated that the combined impact of the Medicaid adjustments and the loss of ACA subsidies could strip coverage from 350,000 to 580,000 Ohioans.
Brown’s cited figure of 490,000 sits just above KFF’s midpoint of 460,000.
When isolating just the Medicaid changes, KFF projected a slightly lower impact in Ohio—ranging from 250,000 to 420,000 people, with a midpoint of 340,000.
A separate June 2026 study by the RAND Corporation analyzed the Medicaid provisions alone and estimated that approximately 254,000 Ohioans would lose Medicaid coverage. While on the conservative end, this projection falls within a comparable range to KFF’s findings.
Christine Eibner, a senior economist at RAND, noted that factoring in the expiration of insurance subsidies would bring RAND’s totals directly into alignment with KFF’s broader estimates.
However, experts caution that these long-term projections involve significant variables. Eibner emphasized that because the work requirements are not scheduled to take effect until December 1, 2027, and span a decade, exact final tallies remain speculative.
Joseph R. Antos, an emeritus senior fellow at the conservative American Enterprise Institute, echoed that sentiment. While describing the KFF figures as an educated estimate, he noted they remain the best available state-level assessments combining both Medicaid and ACA policy impacts.
Summary Assessment
Brown’s advertisement claimed that Husted voted “to kick 490,000 Ohioans off their healthcare.”
In 2025, Husted voted for the One Big Beautiful Bill Act, which scaled back Medicaid spending—a move his campaign defended as a way to safeguard resources for vulnerable groups like children and individuals with disabilities. Furthermore, the legislation allowed enhanced ACA subsidies to expire.
Independent modeling from KFF estimated that between 350,000 and 580,000 Ohioans could lose coverage due to these combined policy shifts, placing Brown’s 490,000 figure near the middle of the spectrum. Subsequent research from RAND yielded similar, albeit slightly lower, projections.
While these 10-year forecasts originate from credible sources and Brown utilized the median estimate, the actual number of affected individuals will ultimately depend heavily on state-level implementation and other evolving factors.
Because the statement contains factual backing but omits critical context, it is evaluated as Half True.