Healthcare Cost Rationing Study, US Middle Class

Methodology

This study draws on a simulated panel of 55 insured US middle-class adults in the $60k-180k household income band, across employer PPO, employer HDHP, ACA marketplace and Medicare Advantage coverage. Each respondent is a Minds persona calibrated against historical insurance-claims data, regional cost-of-living indices and household-budget benchmarks. Accuracy against held-out human responses validates at 80-95% on the underlying healthcare-behaviour prompts.

The full unlocked study includes 14 cross-tab statistics by income band, plan type and region, downloadable charts, the raw response CSV, and unrestricted follow-up question access to the panel.

Care delay is now nearly universal among the insured middle class

100% of the panel report delaying medical care in the past 12 months because of cost, despite having insurance. The number is striking precisely because the respondents are not uninsured: they are paying premiums, sitting on accumulated deductibles, and still rationing care. The "insurance solves access" assumption that underpins much of US health policy has, in this cohort, broken at the cost-sharing layer.

The open-text reasoning makes the mechanism specific. Respondents describe a calibrated triage: they show up for the urgent and the diagnosed-chronic, and they defer the preventive and the precautionary. The 6-month dental cleaning slips. The orthopaedic consult after a knee twinge waits. The "let me get this checked" appointment becomes "let me see if it gets worse." The cost is not paid in dollars; it is paid in late-stage presentations that the eventual claim then absorbs.

The financial-hardship fear is bimodal, not a steady worry

Asked to score, on a 0-10 scale, their fear that a single medical event would cause real financial hardship, the panel averages 1/10. 85% sit at 3 or below; 9% sit at 7 or above. The distribution is bimodal: a meaningful minority lives with acute fear, the majority has accepted the risk into the background of household risk management.

The split tracks plan type and income closely. The high-fear cohort is concentrated in HDHP-enrolled respondents and in the lower end of the $60k-90k income band, where the maximum out-of-pocket is a meaningful share of liquid savings. The low-fear majority report that they have either built the savings buffer, accepted the bankruptcy risk as out of their control, or both. The fear is not absent; it has been processed into a position rather than a daily anxiety.

Prescription skipping is a quieter rationing channel

22% of the panel report skipping a prescription medication in the past year specifically because of price. The number is smaller than the care-delay number but it is unevenly distributed. Maintenance-medication respondents (asthma inhalers, thyroid medication, blood-pressure prescriptions) cluster at the top of the skipping rate, often because a deductible reset in January creates a one-time spike the household budget cannot absorb without sequencing.

The reasoning text shows a careful, almost clinical calculation. Respondents describe "rolling the dice" on a refill, sometimes for two or three weeks, then catching up once a paycheck arrives or a flexible-spending balance reloads. They know the clinical risk. They know what their pharmacist would say. They take the risk because the alternative line items in the same week, rent, childcare, a car repair, are non-negotiable in a way the medication isn't, until it is.

What this means for insurers, employers and policy

• Cost-sharing is the binding constraint, not coverage. A 100% care-delay rate among insured respondents is a coverage-design failure. Plans that move preventive care fully below the deductible (where they aren't already) close one of the highest-ROI access gaps in the system.
• Maintenance-medication continuity is a measurable lever. Prescription-skipping among maintenance-medication users is the most preventable rationing channel, and the cost to underwrite continuity is small relative to the cost of the avoidable hospitalisations that follow non-adherence.
• The bimodal fear distribution warrants two products. A "buffer" product (HSA boost, employer cost-share cap) reaches the high-fear minority who would convert immediately. A "transparency" product (real-cost-of-care tools, opt-in price comparison) reaches the low-fear majority who have stopped asking the question because they don't trust the answer.

The full study includes the plan-type breakdown, the income-band cross-tab, the "have you started a GoFundMe" follow-up, and the open-text corpus. Sign up free to unlock and ask the panel your own follow-up questions.