Survey: Half of Medicare Beneficiaries Have Skipped Medical Care in the Past Year Due to Confusion Over Their Coverage

eHealth’s survey of more than 1,000 Medicare beneficiaries found 48% delayed or skipped care due to coverage confusion and 54% did so over out-of-pocket costs. For the 2027 enrollment period, 62% of those planning to review plans intend to use AI, while 61% say they would trust a real person over AI amid conflicting advice. The survey also found 58% suspect they have been targeted by Medicare-related scams and 71% consider GLP-1 weight-loss coverage important.

Analysis

This is a demand-intent signal, not evidence of incremental EHTH economics. A busy AEP can expand comparison traffic, but the value to eHealth depends on converting shoppers into completed enrollments at acceptable acquisition cost; AI-assisted research may increase comparison activity while also letting consumers bypass brokers. The stated preference for human advice is a potential near-term defense of agent-led distribution, not proof of higher conversion or retention.

The second-order risk is expectation mismatch. Interest in weight-loss GLP-1 coverage may drive plan searches, but if available coverage does not match shoppers’ expectations, it could raise abandonment, complaints, or compliance scrutiny rather than enrollment value. Medigap-to-Medicare Advantage consideration could broaden shopping demand, but affordability-driven switching may also increase churn and servicing needs. The C-SNP responses are self-reported and do not establish clinical or financial outcomes.

Timing: the immediate reaction should be limited because this is company-sponsored survey research. Over the next 1–3 months, watch AEP traffic-to-enrollment conversion, marketing cost, and broker productivity for evidence of monetization. Over 6–18 months, AI could lower consumers’ search costs and pressure intermediary economics even if it initially generates leads. The thesis is falsified if AEP activity fails to improve reported enrollment economics, or if management flags weaker conversion or higher acquisition costs. No valuation, consensus, or operating data here supports a directional position.

Key Decisions for Investors

• No trade on the survey alone; treat it as a weak demand indicator rather than an earnings catalyst for EHTH.
• During AEP and the next earnings update, monitor EHTH’s enrollment conversion, marketing/acquisition costs, agent productivity, and retention. Upgrade the signal only if activity translates into better unit economics.
• Watch for GLP-1 coverage-related consumer confusion, complaints, and regulatory scrutiny; strong search interest without suitable coverage could be a cost or reputational risk rather than a revenue tailwind.
• Track whether AI tools route consumers to brokers or disintermediate them. Evidence of rising leads with falling conversion would weaken the EHTH thesis; sustained human-agent conversion would support it.