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Quiet changes to how CMS grades Medicare Advantage plans could ripple through insurer bonus payments and, eventually, which plans your parents can even choose from next enrollment season.
For the roughly 33 million Americans enrolled in Medicare Advantage, the plan you pick often comes down to a simple number: a star rating from one to five, meant to signal quality. Most people never look past that number. But behind it sits a complex formula that determines billions of dollars in bonus payments to insurers, and that formula is now in flux.
David Bender, counsel in Reed Smith's Healthcare Practice Group, warns that upcoming changes to how the Centers for Medicare & Medicaid Services calculates those star ratings could do more than shuffle a few rankings. They could alter the financial math that keeps some insurance plans viable in certain markets at all.
Think of the star rating system as a report card for health plans. CMS tallies dozens of measures, things like how well a plan manages chronic disease, how members rate their customer service, how quickly people get needed care, and rolls them into a single score. Plans that earn four stars or higher qualify for bonus payments, extra federal dollars layered on top of their regular reimbursement. It is a system designed to reward quality and nudge insurers toward better care, not just more enrollees.
The trouble is that even small shifts in how that report card gets graded can have outsized consequences. Bender's point, as he lays it out, is straightforward: if CMS adjusts the weighting or methodology behind star ratings, plans sitting near the four-star threshold could tip either direction. A plan that clears the bar keeps its bonus. One that falls just short loses it, sometimes a difference worth tens of millions of dollars depending on enrollment size.
Insurance is, at its core, a numbers business. Every Medicare Advantage plan is essentially betting that premiums, government payments, and bonus dollars will cover the cost of care plus a margin. Pull one of those revenue streams out from under a plan, and the math stops working in some places faster than others.
That is the scenario Bender flags. Star rating changes that shrink bonus payments do not hit every insurer the same way. A large national carrier operating in dozens of states can absorb a hit in one region by leaning on profits elsewhere. A smaller plan, or one that only operates in a handful of rural counties, has far less cushion. When the bonus dollars that made a thin market worthwhile disappear, insurers sometimes decide the math no longer justifies staying.
This is not a hypothetical concern plucked from nowhere. Medicare Advantage plans have exited specific counties and service areas before when the financial equation shifted, and CMS itself has leaned on star ratings as a lever precisely because insurers respond to it. The ratings were built to reward quality, but they also function as a kind of pressure valve on where companies choose to compete.

For older adults and people with disabilities who rely on these plans, the downstream effect is less about spreadsheets and more about options. Fewer competing plans in a county often means higher premiums, narrower provider networks, or fewer supplemental benefits like dental and vision coverage. People in rural areas, who already tend to have fewer plan choices than city dwellers, are typically the ones who feel a market exit first and hardest.
There is also a quality angle worth sitting with. Star ratings exist, in theory, to push insurers toward better chronic disease management, faster access to specialists, and stronger customer service. If methodology changes are perceived as arbitrary or poorly calibrated, insurers may spend resources gaming the metrics rather than improving the underlying care. That tension, between rewarding real quality improvement and rewarding whoever best understands the scoring formula, has shadowed the star ratings program since its creation.
CMS has adjusted its star ratings methodology before, often in response to litigation, industry feedback, or evolving clinical guidelines. Insurers, in turn, have challenged specific scoring decisions in court when bonus money was on the line, underscoring just how much weight these ratings carry financially. The program was never meant to be static, but each adjustment carries real consequences for plans operating on thin margins in competitive markets.
Reed Smith's healthcare practice works directly with insurers navigating these regulatory shifts, which gives Bender a vantage point most policy commentators lack. His read is not that the sky is falling, but that the ripple effects of seemingly technical rule changes deserve more public attention than they typically get. Star rating methodology rarely makes headlines. The consequences of getting it wrong, fewer plan choices for seniors, do.
Medicare Advantage now covers more than half of all Medicare beneficiaries, which means decisions made inside CMS's rating formulas touch a majority of the program's enrollees, whether they realize it or not. A methodology tweak that sounds purely technical on paper can translate into a very concrete problem next fall: a senior in a rural county opening their plan options during open enrollment and finding one fewer choice on the list, or a higher premium on the plans that remain.
Policymakers face a genuine balancing act here. Tightening star rating standards can push insurers toward real improvements in care coordination and patient experience, which is the whole point of the program. But if the standards shift too quickly, or in ways insurers see as unpredictable, the safest business response is retreat, not reform. Watching how CMS calibrates these changes, and how insurers respond in the markets most exposed to thin margins, will say a lot about whether the star ratings system is still working as intended or simply reshuffling who profits from Medicare dollars.
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Medicare Advantage changes could shift payments
↗ https://www.healthcareitnews.com/video/medicare-advantage-changes-could-shift-payments
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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7 October 2026
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