About eight in 10 rural registered voters say the Trump administration’s health policies have either harmed community health or made no difference, according to a new national survey that exposes a gap between support for the Make America Healthy Again movement and confidence that its agenda is improving care.

The finding is notable because rural voters remain an important Republican constituency and nearly half identify at least somewhat with MAHA. Yet 68% of those supporters also reported no positive effect on the health of people where they live, according to the AP report published Wednesday. The result suggests that the movement’s messages about food, chronic disease and vaccines are not resolving what many rural residents experience most directly: high costs, provider shortages and long travel distances for care.

The survey does not prove that any federal policy caused rural health to improve or deteriorate. It measures registered voters’ perceptions at one point in time, not changes in diagnoses, mortality, insurance claims or clinical access. Its value is different: it shows whether residents believe a highly visible health agenda is reaching their communities, and it identifies where policy priorities and lived experience appear misaligned.

What the survey measured

KFF and The Associated Press designed and analyzed the survey, which was conducted online and by telephone from Aug. 12 through Aug. 24 among 2,241 adults registered to vote in rural areas. Participants came from the probability-based SSRS Opinion Panel. The overall margin of sampling error was plus or minus three percentage points, according to the study’s full survey topline. Sampling, data collection and weighting were performed by SSRS.

The central result combines two responses: voters who said administration policies had a negative effect on community health and those who said the policies had no effect. That is why the finding should be described as “no positive effect,” not as eight in 10 saying the policies were harmful. The distinction matters. No observed benefit may reflect dissatisfaction, limited awareness, delayed implementation or the reality that large health-system changes take years to become visible.

On specific issues, rural voters were roughly twice as likely to report negative rather than positive effects on their own health-care costs, Medicare, Medicaid and local service availability. The survey report found that 41% saw a negative effect on their costs compared with 17% who saw a positive effect. For local availability, the split was 37% negative and 15% positive. Prescription drugs produced a more divided result: 30% positive, 35% negative and 35% no effect.

Costs and access outrank movement branding

The results reinforce a pattern KFF identified earlier in the year. In a separate national May poll, 42% of MAHA supporters selected lowering health-care costs as the most important health priority—well ahead of issues more closely associated with the movement’s public identity, such as food ingredients and vaccine policy.

That does not mean rural voters reject those issues. Many respondents supported tighter nutrition standards and expressed concern about chronic disease. But a family deciding whether it can afford an insurance premium, a specialist visit or a long drive to the nearest hospital encounters health policy through a different lens. The survey’s strongest signal is that affordability and availability remain the measures by which many residents judge whether reform is working.

Coverage type also shaped perceptions. Among rural voters who buy insurance directly—about one in 10 respondents—57% said administration policy had negatively affected their health-care costs. KFF said that finding likely reflects higher Marketplace costs after enhanced premium tax credits expired, although the survey itself cannot isolate a single cause. Employer coverage, Medicare, household income, local provider supply and individual medical needs can all influence what a respondent reports.

Longstanding structural barriers

Rural access problems long predate the current administration, and older federal research helps explain why they are difficult to reverse quickly. A GAO analysis of hospital closures found that residents in affected service areas traveled about 20 miles farther for common services such as inpatient care. For less common services, including alcohol and drug treatment, the increase approached 40 miles.

The same analysis found that counties experiencing closures already had fewer clinicians and then lost ground. Median physician availability in those counties fell from 71.2 to 59.7 per 100,000 residents between 2012 and 2017, compared with a smaller decline—from 87.5 to 86.3—in counties without closures. Those historical data cannot describe every community in 2026, but they demonstrate that losing a hospital can weaken both facilities and the workforce surrounding them.

An earlier review linked many rural hospital closures to financial distress, low inpatient volume and payment pressure. It also found fewer closures in states that expanded Medicaid eligibility. That evidence is observational, not a randomized test of Medicaid policy, but it supports the broader conclusion that coverage and hospital finances are interconnected in sparsely populated markets.

The administration’s strongest counterpoint

The clearest federal response is the Rural Health Transformation Program. The CMS program provides $50 billion to approved states over five fiscal years, with $10 billion available annually from 2026 through 2030. States can use the money for workforce development, technology, care coordination and other rural-system changes.

That scale is substantial, and it also illustrates why the poll is not a final verdict. The survey was conducted near the beginning of the program’s first funding year, before many state initiatives could produce measurable changes in staffing, service lines or patient travel. Administration officials can reasonably argue that transformation funding needs time. The survey nevertheless indicates that federal leaders have not yet translated those investments into widely perceived local gains.

Program funding also should not be evaluated in isolation. Rural communities experience federal policy through Medicaid eligibility and payment, Medicare reimbursement, Marketplace premiums, workforce programs, drug costs and food assistance. A temporary grant can support innovation, but it may not offset larger coverage losses or recurring operating deficits. Conversely, a respondent’s negative view of “administration policy” may not reflect detailed knowledge of each program.

Evidence strengths and limits

The study’s probability-based sample, mixed online-and-telephone collection and disclosed weighting methods make it stronger than an open internet poll. Its national rural sample is large enough to estimate broad public opinion with reasonable precision. But subgroup estimates have wider uncertainty than the three-point margin reported for the full sample, and partisan identity can shape retrospective judgments about policy performance.

The sample includes registered voters, not all rural residents. People who are unregistered, too young to vote or living in institutions are outside its scope. The design is cross-sectional, so it cannot determine whether opinions changed because of a particular policy. It also cannot separate perception from actual changes in insurance coverage, appointment availability or health outcomes. Those limitations should prevent causal claims, not dismissal of the findings.

What policy success would look like

The practical response is to connect rural-health promises to measures residents can see: time to the next primary-care appointment, distance to emergency and specialty services, insurance premiums and deductibles, avoidable hospital closures, clinician vacancy rates and the number of communities retaining maternity, behavioral-health and pharmacy services.

States receiving transformation funds should publish comparable baseline measures and regular progress reports. Federal agencies should pair spending totals with patient-centered access indicators and identify whether gains reach communities with the longest travel times and greatest workforce shortages. That approach would let policymakers distinguish slow implementation from ineffective design.

The survey is not evidence that MAHA principles cannot improve health, nor is it proof that the administration’s entire rural agenda has failed. It is evidence that most rural voters—including many who embrace the movement—do not yet perceive a benefit where they live. For a health agenda built around visible national change, that implementation gap is itself a consequential finding.