Work requirements function primarily as documentation challenges rather than employment incentives. Arkansas 2018 data revealed that 97 percent of people who lost coverage were already working or qualified for exemptions, while the policy produced zero measurable increase in employment. The gap between what people are doing and what they can prove they are doing will determine whether work requirements under the One Big Beautiful Bill Act function as neutral verification or as barriers that transform working people into coverage casualties. For the 18.5 million expansion adults facing requirements beginning December 2026, documentation capacity rather than work activity will be the decisive factor in who keeps healthcare coverage.
The Verification Architecture Mismatch#
Work requirement verification systems are designed around an employer that increasingly does not exist: stable, cooperative, documented, and equipped to provide standardized proof of employment on demand. The labor market that Medicaid expansion adults actually navigate looks nothing like this. Kaiser Family Foundation analysis shows that Medicaid adults concentrate in retail, food service, agriculture, construction, and domestic work, sectors featuring volatile scheduling, limited documentation, and minimal human resources infrastructure.
The structural mismatch is pervasive. Monthly hour-counting assumes single employers who track hours systematically and provide accessible records. The expansion population works multiple part-time jobs, gig platforms, and informal arrangements where no centralized record exists. A worker with 20 hours at one restaurant, 15 at another, and 10 hours of informal childcare needs three separate verification sources to document a compliant 45-hour month. Missing any single component renders the entire verification incomplete.
Small employers, who employ a disproportionate share of low-wage workers, often lack human resources infrastructure entirely. Nearly half of working Medicaid beneficiaries work for companies with fewer than 50 employees, firms with no obligation to provide health insurance and often no capacity to generate compliant documentation. The cash economy remains largely invisible to formal verification systems, affecting day laborers, house cleaners, and informal caregivers whose work is real but whose documentation is nonexistent.
Exemption documentation compounds the problem. Medical exemptions require healthcare providers to complete paperwork, but many Medicaid beneficiaries lack established provider relationships. Mental health conditions that impair work capacity also impair the executive function needed to navigate bureaucratic systems. Caregiving exemptions assume formal arrangements that typically do not exist for family caregivers. The administrative sophistication required to successfully claim an exemption correlates inversely with many exemption-qualifying conditions.
The profile of people who lose coverage despite compliance is not random. Coverage failures concentrate among those with lower educational attainment, limited English proficiency, restricted digital access, thin social capital networks, undiagnosed mental health conditions, and housing instability. The intersection of these factors creates compound disadvantage affecting substantial portions of the target population. A Spanish-speaking worker with depression, limited internet access, and unstable housing faces documentation barriers at every turn.
System Design Alternatives#
Automated data matching represents the most promising solution, using existing unemployment insurance wage records and other state data to verify work hours without requiring individual action. Ohio’s approach emphasizes this strategy, attempting to verify compliance through administrative data before requiring member documentation. Self-attestation with strategic audit, borrowed from tax administration, reduces burden on the compliant majority while maintaining program integrity through targeted review. Presumptive compliance for populations with 97 percent demonstrated compliance rates may be more efficient than universal documentation. Multiple verification channels prevent the single-point failures that Arkansas’s portal-only design guaranteed.
Georgia’s evolution is instructive. Pathways to Coverage has moved toward annual rather than monthly reporting, reduced portal dependence, and expanded verification channels. Yet enrollment remains far below projections, with only roughly 5,500 people enrolled against an estimated 240,000 eligible, suggesting that documentation barriers persist even with improved design.
The Bottom Line#
The documentation gap reframes the fundamental policy debate. Most coverage loss will reflect administrative non-compliance, not behavioral non-compliance. People will lose coverage because they cannot prove what they are already doing, not because they refuse to do what they are required to do. This is not an inevitable outcome. It is a design choice. States choosing automated verification, presumptive compliance, and multiple submission channels will produce dramatically different outcomes than states choosing portal-dependent, monthly, documentation-heavy approaches. The question is whether systems built to verify work will function as neutral measurement or as barriers that the working poor cannot overcome.
Source: MRWR-13A_Documentation_Gap.md Series 13: When Compliance Meets Reality GroundGame.Health Research Series on Medicaid Work Requirements