Medicaid managed care built its business model on actuarial predictability. Work requirements introduce systematic unpredictability. The Series 3 trilogy examines how MCOs respond when the fundamental assumptions underlying their operations no longer hold.
ARTICLE SERIES:
- MRWR-3A: What Health Insurers Can Do
- MRWR-3B: The 10-Month Implementation Checklist for MCOs
- MRWR-3C: Managing the Multiply-Burdened
The Volatility Problem#
MRWR-3A establishes that work requirements create enrollment volatility uncorrelated with medical risk. In traditional Medicaid managed care, people lose coverage primarily for reasons related to eligibility changes (income increases, household composition shifts, aging out of categories). These changes correlate somewhat with health needs and utilization patterns.
Work requirements break this correlation. The diabetic Uber driver loses coverage not because her diabetes improved or her income increased, but because she couldn’t document gig work properly. The construction worker loses coverage not because he stopped working, but because he changed employers mid-month and missed reporting deadlines. Documentation capacity and medical risk move independently.
This creates adverse selection in reverse. Documentation-capable people stay enrolled regardless of health status. Documentation-challenged people cycle out regardless of health need. Historical utilization patterns become nearly useless for predicting future costs. The actuarial foundations of managed care face fundamental disruption.
MRWR-3B translates this strategic challenge into operational reality. MCOs must build risk stratification models that predict documentation risk alongside medical risk. They must redesign care coordination workflows to integrate work requirement support. They must invest in populations where expected enrollment duration no longer justifies traditional care management ROI timelines. They must negotiate rates based on administrative costs and risk profiles that states dispute.
MRWR-3C reveals the populations where this volatility compounds most severely. Multiply-burdened members facing high medical complexity, high social complexity, and high administrative vulnerability need intensive support precisely when traditional business logic suggests avoiding them. Work requirements make this population larger and more visible while making the business case for serving them weaker.
The synthesis insight is that work requirements don’t just add administrative requirements to existing MCO operations. They fundamentally challenge the actuarial logic that makes Medicaid managed care financially viable. MCOs must either develop new business models that function under systematic volatility, or accept degraded financial performance and operational chaos.
The Stratification Dilemma#
All three articles address member stratification but reveal incompatible imperatives.
Traditional MCO stratification logic says identify high-risk members, invest intensive resources in care coordination, achieve utilization reductions over 12-18 months, realize ROI through prevented acute care. This works when enrollment is stable enough for ROI timelines to play out.
Work requirements create churn that disrupts ROI timelines. MRWR-3A shows that intensive care coordination investments in month one through six get partially erased when members lose coverage in month seven, return in month ten with degraded health status, and require renewed investment starting from a worse baseline. The care management ROI never materializes because enrollment instability prevents the payoff period.
Rational MCO response: stratify by coverage stability alongside medical risk. Invest intensively in stable high-risk members where ROI will materialize. Invest minimally in volatile populations regardless of medical risk. This preserves financial sustainability but creates exactly the coverage loss spirals that work requirements policy aims to prevent.
MRWR-3B confronts this through the 10-month implementation checklist. Risk stratification must combine medical complexity, SDOH needs, and documentation vulnerability. Care coordination workflows must integrate work requirement support with health management. But the fundamental tension remains: the populations needing the most support are the populations where traditional ROI logic suggests avoiding investment.
MRWR-3C examines the multiply-burdened members who embody this dilemma. High medical complexity means expensive if care breaks down. High documentation vulnerability means likely to churn regardless of MCO investment. Traditional stratification says avoid them. Work requirements make avoiding them impossible because they’re embedded within the expansion adult population that MCOs must serve.
The synthesis insight is that MCOs face a genuine business model crisis. Stratification logic developed for stable populations breaks when applied to volatile populations. Investment frameworks designed around 12-18 month ROI timelines fail when enrollment duration averages 3-6 months. Quality metrics rewarding care continuity penalize plans when members cycle through coverage loss. Value-based arrangements assuming stable attribution create perverse incentives under systematic churn.
The Care Coordination Redesign#
MRWR-3B provides comprehensive operational guidance, but integration with 3A and 3C reveals the deeper challenge. Work requirement support isn’t a separate function that can be added to existing care coordination. It fundamentally changes what care coordination must accomplish.
Traditional care coordination focuses on medical management: medication adherence, appointment attendance, specialist coordination, preventive care, chronic disease management. SDOH screening addresses barriers to medical care like transportation, food insecurity, housing instability.
Work requirements make documentation capacity a health determinant as significant as housing or food access. Someone loses coverage due to verification failure. They miss medication refills. Chronic conditions destabilize. They eventually return to coverage sicker and more expensive. The documentation barrier created the health crisis.
This means care coordinators must now address: verification status monitoring, exemption eligibility assessment, documentation gathering assistance, employer coordination for verification, renewal deadline tracking, crisis intervention when verification fails. Not as separate from medical care coordination, but integrated into every member interaction.
MRWR-3C shows why this integration is essential for multiply-burdened members. The person with uncontrolled diabetes, unstable housing, and verification challenges doesn’t experience these as separate problems requiring separate solutions. They experience them as a unified crisis where each dimension compounds the others. Housing instability makes medication storage difficult and verification documentation impossible. Verification failure causes coverage loss which leads to medication interruption which destabilizes diabetes which potentially triggers hospitalization.
The care coordinator addressing diabetes without addressing housing and verification is managing symptoms without addressing causes. But addressing all three simultaneously requires time, expertise, flexible resources, and system integration that traditional care coordination models don’t provide.
MRWR-3B’s workflow redesign attempts to address this by making work requirement status visible in care coordinator dashboards alongside clinical information. The dashboard shows medication adherence, upcoming appointments, diabetes control, and renewal deadline in 45 days. Everything gets addressed in the same interaction.
But MRWR-3A reveals the resource tension. This intensive integration costs money. Technology development, staff training, care coordinator time, flexible funds for barrier reduction, and community partnership development all require investment. States expect work requirements to save money through reduced enrollment. MCOs request rate increases to cover expanded responsibilities. The fiscal logic points in opposite directions.
The synthesis insight is that care coordination redesign for work requirements isn’t optimization of existing functions. It’s fundamental reconceptualization of what managed care must accomplish. Success requires integrating administrative support with medical management, addressing documentation barriers as health determinants, maintaining engagement through coverage gaps, and preventing crises rather than managing their consequences. This is a different business model, not an enhanced version of the traditional model.
The Multiply-Burdened Population#
MRWR-3C deserves special attention in synthesis because it addresses populations that MRWR-3A and 3B acknowledge but don’t fully theorize. Multiply-burdened members facing simultaneous medical complexity, social complexity, and administrative vulnerability represent 15-25 percent of expansion adult enrollment in some markets. Work requirements make them both more visible and more expensive.
Traditional stratification assumes members face primarily medical complexity or primarily social complexity. Standard care models assign nurses for medical complexity and social workers for social complexity. Multiply-burdened members face both simultaneously, plus administrative vulnerability that traditional models don’t address.
Standard care management assumes five things that aren’t true for multiply-burdened members: stable enrollment enabling ROI, intensive intervention preventing acute care, continuous engagement capacity, trust in healthcare systems and government programs, and capacity to navigate verification and exemption processes.
All five assumptions break for populations with serious mental illness plus housing instability, substance use disorders plus chronic homelessness, cognitive disabilities plus caregiver burden, or trauma histories plus episodic employment. These populations need care coordination most and can benefit from it least using traditional approaches.
MRWR-3C proposes five intensive support models: nurse-CHW dyad, CHW-intensive, flexible funds plus care management, peer support with professional backup, and integrated behavioral health. All share characteristics: much lower caseloads (10-25 members versus 50-200), intensive engagement (daily or multi-weekly contact), flexible resources (transportation, housing, cell phones, documentation services), and integration of medical, social, and administrative support.
The models cost $250-500 PMPM versus $40-80 PMPM for traditional care coordination. That’s 3-6 times more expensive. But the alternative is repeated coverage loss, health deterioration, emergency utilization, and eventual return to coverage requiring crisis intervention.
The business case exists but isn’t overwhelming. Prevention costs less than crisis management. Stability in even a subset of multiply-burdened members improves quality metrics. Documentation of actual costs supports rate negotiations. Capability with complex populations differentiates organizations.
But the timeline problem from MRWR-3B compounds. MCOs have 10 months to pilot intensive models, refine based on results, scale successful approaches, train staff, establish partnerships, and build monitoring systems. That’s barely adequate for piloting, insufficient for perfecting.
The synthesis insight is that multiply-burdened populations reveal the limits of incremental adaptation. MCOs cannot serve these members by doing traditional care coordination slightly better or slightly more intensively. They need qualitatively different models with different cost structures, different staffing ratios, different outcome expectations, and different risk-sharing arrangements with states. The business model doesn’t just need refinement. It needs replacement for this subset of the population.
The State Partnership Question#
All three articles reference MCO-state relationships but from different angles that don’t fully integrate.
MRWR-3A discusses rate negotiations. MCOs document increased costs and request rate adjustments. States expect savings through reduced enrollment and resist rate increases. The negotiation happens in political economy where optics matter: plans requesting rate increases while people lose healthcare creates terrible optics even if actuarially justified.
MRWR-3B describes state engagement as external partnership. MCOs must influence state verification system design, provide feedback on exemption processes, coordinate on redetermination timing, share data appropriately. But MCOs and states have asymmetric information and potentially conflicting incentives.
MRWR-3C implies state flexibility on exemption processes and human infrastructure funding but doesn’t specify how MCOs advocate for needed policy changes while maintaining contractual relationships and rate negotiations.
The synthesis reveals that MCO-state partnership quality determines implementation success or failure. States building recognition-based verification systems with accessible exemptions create environments where MCOs can operate efficiently. States building compliance-based systems with rigorous exemptions force MCOs to invest heavily in remediation of system-generated barriers.
MCOs serving multiple states will experience this variation directly. Operations in Ohio (recognition systems, data matching, automatic exemptions) will function differently than operations in Arkansas-style states (compliance systems, individual reporting requirements, documentation-intensive exemptions). Same philosophical framework, same population characteristics, radically different MCO operational requirements and financial performance.
The synthesis insight is that MCO success depends partly on factors outside MCO control. Plans can build excellent risk stratification, integrated care coordination, and intensive support models. But if states build inaccessible systems, MCO investment goes toward fixing preventable problems rather than improving health outcomes. This creates pressure for MCOs to advocate for better state system design while maintaining productive partnerships essential to ongoing operations.
The Temporal Mismatch#
A subtle but critical tension emerges when reading the trilogy: different temporal horizons across stakeholders.
MRWR-3B provides a 10-month implementation checklist. Months 1-3 for foundational work, months 4-6 for pilots, months 7-10 for scaling, months 11-14 for finalization and launch. This treats December 2026 as a fixed deadline requiring compressed timeline adaptations.
MRWR-3A describes business model challenges that unfold over years. Actuarial analysis requires 2-3 years of data to validate models. Care coordination ROI manifests over 12-18 months. Quality metric impacts appear over 18-24 months. Rate negotiations happen annually but reflect multi-year trends.
MRWR-3C examines populations where intensive support models need 6-12 months to demonstrate effectiveness, 12-18 months to refine approaches, and multiple years to achieve stable outcomes. But members cycle through coverage every 3-6 months, preventing long-term models from functioning.
These temporal mismatches create practical impossibilities. States demand operational readiness in 10 months. MCOs need 2-3 years to validate approaches and demonstrate value. Members need continuous support but enrollment duration doesn’t enable it. Policymakers expect immediate cost savings but system maturation requires years.
The synthesis insight is that work requirements launch under conditions that prevent many intended outcomes from materializing. If the policy needs 3-5 years to stabilize and MCOs need 2-3 years to refine models, the first several years will be chaotic regardless of preparation quality. Early implementation failures may reflect temporal mismatch more than operational incompetence.
For Different Markets#
The trilogy’s insights apply differently across MCO markets.
Plans with 80 percent expansion adult enrollment face existential business model challenges. Work requirements affect most of their population. Volatility becomes the dominant operational reality. Traditional actuarial models break comprehensively. These plans must develop entirely new business models or exit the market.
Plans with 20 percent expansion adults and 80 percent children, elderly, or traditional disabled populations face operational complexity but not existential crisis. They must build work requirement support infrastructure, but it affects a minority of enrollment. Segregated operations handling expansion adults separately from other populations might work.
Plans serving multiply-burdened expansion adults concentrated in urban safety-net markets face MRWR-3C challenges at scale. They might need 30-40 percent of expansion enrollment in intensive support models versus 10-15 percent in markets with healthier, more stable populations.
Plans in states building recognition systems face fundamentally different operational requirements than plans in compliance-system states. Market segmentation will likely emerge with plans optimizing for specific state approaches and population characteristics.
The synthesis insight is that there’s no single “MCO response to work requirements.” There are multiple strategic pathways depending on enrollment mix, state system design, population characteristics, and organizational capabilities. The trilogy provides frameworks that each plan must adapt to specific context rather than prescriptive solutions that apply universally.
What December 2026 Reveals#
The Series 3 trilogy provides the foundation for understanding MCO responses but leaves the ultimate question unanswered: can Medicaid managed care adapt successfully to systematic enrollment volatility?
Optimistic interpretation: MCOs that execute MRWR-3B’s checklist effectively, build intensive models for multiply-burdened populations per MRWR-3C, and partner productively with states will demonstrate that managed care value proposition extends to volatile populations. They’ll prove that care coordination preventing coverage loss and maintaining health status through churn justifies investment. They’ll show that quality metrics can reward volatility management alongside medical management. This success will strengthen managed care’s role in Medicaid.
Pessimistic interpretation: Work requirements break actuarial foundations so thoroughly that managed care becomes financially unsustainable for expansion populations. MCOs will minimize investment in volatile populations, stratify ruthlessly by stability, focus narrowly on stable enrollees, and accept degraded performance for churning members. Coverage losses will spike, health outcomes will deteriorate, costs will increase when members return sicker. This failure will weaken managed care’s role in Medicaid.
Likely reality: Both outcomes occur simultaneously in different markets. Some MCOs in some states with some populations will adapt successfully. Others will struggle. Market segmentation will increase. Plans will specialize in specific state approaches and population types. The industry will become more heterogeneous, with greater variation in business models, capabilities, and performance.
The trilogy demonstrates that this differentiation has already begun. The question is whether successful models scale and diffuse, or whether they remain isolated examples while most MCOs muddle through with incremental adaptations of inadequate traditional approaches.
References#
Sommers BD, et al. “Medicaid Work Requirements: Results from the First Year in Arkansas.” New England Journal of Medicine. 2019;381:1073-1082.
Congressional Budget Office. “Budgetary Effects of H.R. 5376, the Build Back Better Act.” December 2021.
Hinton E, et al. “5 Key Facts About Medicaid Work Requirements.” Kaiser Family Foundation. February 2025.
Kangovi S, et al. “Effect of Community Health Worker Support on Clinical Outcomes of Low-Income Patients Across Primary Care Facilities: A Randomized Clinical Trial.” JAMA Internal Medicine. 2018;178(12):1635-1643.
Berkowitz SA, et al. “Addressing Basic Resource Needs to Improve Primary Care Quality: A Community Collaboration Programme.” BMJ Quality & Safety. 2016;25(3):164-172.
Moynihan D, Herd P, Harvey H. “Administrative Burden: Policymaking by Other Means.” Russell Sage Foundation. 2015.