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Healthcare: SMART-D Requirement Details V2.1

Last Updated: 2026-07-25 15:42 UTC

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Color Rule: Red text = bad current value, bad trend, missing critical data, or unfavorable gap. Green text = favorable value or improving trend. Amber text = context-dependent, incomplete, pending, or source-method review needed. Neutral/gray text = descriptive value that is not inherently good or bad.

Evidence Table Types: Actual = a value published as-is by the cited source. Historical = a real data point shown for context only, not fully comparable to the row's main series (different question, methodology, or period). Projection = a future-year row -- this project's own target/glidepath math, an independently published forecast, or both; check the Source column for which applies. (This legend is a Healthcare-specific addition -- NDD's own data doesn't currently use a Historical row_type, so its real detail-page shell, if one is ever found, may not need this paragraph at all.)

HC-COV-INS-001
 
Requirement: Congress shall enact, fund, and oversee national health coverage policies that increase the percentage of the U.S. population with health insurance from 91.8% in 2024 to at least 99.0% by 2036, with progress measured annually using the U.S. Census Bureau's American Community Survey.
 
Legislative Key Phrases: Health insurance coverage expansion; Marketplace subsidy and premium assistance policy; Medicaid and CHIP eligibility and enrollment; individual health insurance market regulation.
 
Feasibility
 
Feasibility: A 99.0% coverage rate by 2036 is achievable in principle – ACS-measured coverage has moved by more than a full percentage point within a single year before (2013-2014, +2.8 points), and most OECD countries with insurance systems structurally comparable to the U.S. already sustain 99-100% coverage. It is not achievable on the current trajectory without a policy change: coverage is falling, not rising, and CMS's own projections show further erosion through at least 2028 before any recovery.
 
Discussion: Coverage fell from 92.1% in 2023 to 91.8% in 2024, the first national ACS-measured decline since 2019. The headwind has strengthened since, though the exact scale depends on which measure is used. CMS's final report on the 2026 Open Enrollment Period shows Marketplace plan selections fell to 23.1 million, down from 2025's final 24.2 million – a decline of about 1.1 million (4.5%), the sharpest single-year drop since the ACA Marketplaces launched. A separate, larger effect shows up in effectuated enrollment (people who actually paid and kept coverage, not just selected a plan): CMS's Effectuated Enrollment: Early 2025 Snapshot reports total February 2025 effectuated enrollment of 23.4 million, of which 21.8 million (93%) received APTC subsidies. CMS has not yet published its February 2026 Effectuated Enrollment Snapshot; pending that release, KFF's analysis of Wakely Consulting Group data projects average 2026 effectuated enrollment could fall to roughly 16.5-17.5 million, down from a comparably-measured 22.3 million average in 2025. CMS also separately projects direct-purchase insurance enrollment (a broader category than just Marketplace plans) will decline by about 3.7 million in 2026 largely due to subsidy expiration; that figure is a projection, not an observed count, and covers a wider market than the Marketplace-specific numbers above. CMS's own National Health Expenditure projections (CMS Office of the Actuary, Health Affairs, June 2026) show the national insured share – measured on a different population base than the ACS series used above, so shown here for directional confirmation only, not blended into the same trend line – falling from 91.8% in 2024 to 90.8% in 2026, 90.4% by 2028, and 90.5% by 2034. What other countries do matters here: among OECD members, only four countries (Mexico, Costa Rica, Estonia, and the U.S. itself) report coverage below 95% on the OECD's core-services coverage measure; most OECD members sit at 99-100%, including mixed public-private systems like Switzerland (near 100% since 1996 reforms) and the Netherlands (above 99%) that are structurally closer to the U.S. system than fully tax-funded models like the UK's. Note the OECD measure (eligibility/coverage for a core service package) and the ACS measure (self-reported insurance status) are related but not identical, so this is a directional benchmark, not a one-to-one comparable series. A 99.0% target reflects that OECD norm, not an arbitrary round number, and is continued through 2036 to hold accountability for the full horizon rather than a single early checkpoint.
 
Benefits
 
If Met: Reaching 99.0% coverage would mean roughly 24 million more people covered relative to the 2024 baseline (91.8% of a total population of about 333 million), matching the typical OECD member's coverage level instead of remaining one of the four lowest-coverage countries in the OECD.
 
If Not Met: Continuing the 2023-2024 pace of decline (about 0.3 points a year) would bring coverage to approximately 90% by 2030 and below 90% in 2031. CMS's own NHE baseline, reflecting current law including the expired enhanced subsidies, projects the insured share falling to 90.8% by 2026, 90.4% by 2028, and 90.5% by 2034 – well below both this target and where nearly every other OECD country already stands.
HC-MET-COV-001: Insured rate
Current Value: 91.8% (2024)
Trend: -0.3 pp vs 2023 (Worsening)
Metric Evidence:
TypePeriodTargetValueSource
Actual2001---85.9%Census CPS ASEC
Actual2006---84.2%Census CPS ASEC
Actual2011---84.3%Census CPS ASEC
Actual2016---91.4%Census ACS
Actual2019---90.8%Census ACS
Actual2023---92.1%Census ACS
Actual2024---91.8%Census ACS
Projection202693.0%91.4%VTC Formula & CBO
Projection202793.6%90.3%VTC Formula & CBO
Projection202894.2%89.9%VTC Formula & CBO
Projection202994.8%89.6%VTC Formula & CBO
Projection203095.4%89.6%VTC Formula & CBO
Projection203196.0%89.5%VTC Formula & CBO
Projection203296.6%89.5%VTC Formula & CBO
Projection203397.2%89.6%VTC Formula & CBO
Projection203497.8%89.5%VTC Formula & CBO
Projection203598.4%89.5%VTC Formula & CBO
Projection203699.0%89.6%VTC Formula & CBO
Source Location: 2001/2006/2011 values are derived as 100% minus the published CPS ASEC uninsured rate for that year. 2016 onward uses the American Community Survey (ACS) directly. International comparison: OECD Health at a Glance 2025, Population coverage for healthcare indicator. Marketplace plan selections: CMS Marketplace 2026 Open Enrollment Period Report (final, 23.1M) and CMS's 2025 record-year press release (final, 24.2M). Effectuated enrollment: CMS Effectuated Enrollment: Early 2025 Snapshot (23.4M Feb 2025 total, 21.8M APTC subset); KFF/Wakely Consulting Group analysis for the preliminary 2026 estimate range, pending CMS's own Early 2026 Snapshot. Annual Value comparison series: CBO, Federal Subsidies for Health Insurance (February 2026 Baseline Projections), Table 1. NHE checkpoint figures cited in Feasibility: CMS Office of the Actuary, NHE Projections 2025-34 (Health Affairs, June 24, 2026), Exhibit 3. Direct-purchase projection: CMS NHE Projections 2025-34.
Status: Evidence sources and values verified
Interpretation: Higher is better. For ACS years, this is the percentage of the population insured at the time of the survey (a point-in-time measure), not coverage for any part of the year. Earlier years in this series may reflect CPS ASEC or other Census-based estimates using a different concept (coverage during the prior calendar year) and are shown for historical continuity, not as a perfectly uniform series – see HC-COV-UNI-001 for the same distinction stated explicitly for the uninsured-rate companion metric.
Formula: Insured rate = 100% minus the uninsured rate (Census methodology). Glidepath: straight-line interpolation using true elapsed calendar years from the 2024 baseline (91.8%) to the proposed 99.0% OECD-benchmark endpoint in 2036, i.e. +0.6 percentage points per year.
Notes: CPS ASEC underwent two methodology redesigns (2014 and 2019) that break comparability with pre-2014 figures independent of any real coverage change. The 2001/2006/2011 values are shown for historical context only and should not be charted on the same continuous trend line as the 2016+ ACS values without this caveat.
HC-COV-UNI-001
 
Requirement: Congress shall enact, fund, and oversee national health coverage policies that reduce the percentage of the U.S. population without health insurance from 8.2% in 2024 to no more than 1.0% by 2036, with progress measured annually using the U.S. Census Bureau's American Community Survey.
 
Legislative Key Phrases: Health insurance coverage expansion; Marketplace subsidy and premium assistance policy; Medicaid and CHIP eligibility and enrollment; individual health insurance market regulation.
 
Feasibility
 
Feasibility: A 1.0% uninsured rate by 2036 is achievable in principle – the rate fell 2.8 points in a single year before (2013-2014) when ACA coverage provisions took effect – but not on the current trajectory without a policy change: the uninsured rate is currently rising, and CMS's own projections show it reaching roughly 9.5% by 2034, well above this target.
 
Discussion: The uninsured rate fell 2.8 points in a single year (2013–2014) when the ACA's major coverage provisions took effect, showing the underlying policy lever can move this metric quickly. But the rate is currently moving the wrong way: up from 7.9% in 2023 to 8.2% in 2024, the first increase in the standard national ACS series since 2019. The headwind has strengthened since, though the exact scale depends on which measure is used. CMS's final report on the 2026 Open Enrollment Period shows Marketplace plan selections fell to 23.1 million, down from 2025's final 24.2 million – a decline of about 1.1 million (4.5%), the sharpest single-year drop since the ACA Marketplaces launched. A separate, larger effect shows up in effectuated enrollment (people who actually paid and kept coverage, not just selected a plan): CMS's Effectuated Enrollment: Early 2025 Snapshot reports total February 2025 effectuated enrollment of 23.4 million, of which 21.8 million (93%) received APTC subsidies. CMS has not yet published its February 2026 Effectuated Enrollment Snapshot; pending that release, KFF's analysis of Wakely Consulting Group data projects average 2026 effectuated enrollment could fall to roughly 16.5-17.5 million, down from a comparably-measured 22.3 million average in 2025. The enrollment decline coincided with the expiration of enhanced premium subsidies and the resulting higher premiums, federal program-integrity enforcement (CMS reports ending APTC payments or coverage for nearly 1.5 million people found ineligible or enrolled without authorization in 2025), and state-level policy changes; the relative contribution of each factor has not been definitively established. CMS separately projects direct-purchase insurance enrollment, a broader category, will fall by about 3.7 million in 2026, largely due to subsidy expiration; that is a projection, not an observed count. CMS's own National Health Expenditure projections (CMS Office of the Actuary, Health Affairs, June 2026) show the uninsured share reaching roughly 9.5% by 2034 (90.5% insured) – measured on a different population base than the ACS series used above, so shown here for directional confirmation only, not blended into the same trend line. That worsening baseline is the accountability problem this revision is meant to fix: the prior version of this requirement stopped at a single 2026 checkpoint, leaving nothing beyond it except CMS's own worsening projection to compare against, which reads as tacit acceptance that things get worse after 2026. Holding Congress accountable means the target has to keep improving for the full horizon, not just one good year. Among OECD members, only four (Mexico, Costa Rica, Estonia, the U.S.) report coverage below 95% on the OECD's core-services measure, meaning most peer countries run uninsured rates near zero; a 1.0% endpoint by 2036 reflects that norm, understanding the OECD and ACS measures are related but not identical.
 
Benefits
 
If Met: A decline to 1.0% would mean roughly 24 million fewer uninsured people at the 2024 population size (8.2% of a total population of about 333 million); the actual 2036 count will depend on population growth alongside the rate change, and would reverse CMS's own baseline trajectory of a rising uninsured rate through 2034 rather than merely slowing it.
 
If Not Met: A simple continuation of the 2023-2024 increase – not a formal projection – would put the uninsured rate at approximately 10.0% by 2030 and 10.3% in 2031. CMS's own current-law baseline projects the uninsured share at roughly 9.5% by 2034, nearly ten times the proposed 2036 target.
HC-MET-COV-002: Uninsured rate
Current Value: 8.2% (2024)
Trend: +0.3 pp vs 2023 (Worsening)
Metric Evidence:
TypePeriodTargetValueSource
Actual2001---14.1%Census CPS ASEC
Actual2006---15.8%Census CPS ASEC
Actual2011---15.7%Census CPS ASEC
Actual2016---8.6%Census ACS
Actual2019---9.2%Census ACS
Actual2023---7.9%Census ACS
Actual2024---8.2%Census ACS
Projection20267.0%8.6%VTC Formula & CBO
Projection20276.4%9.7%VTC Formula & CBO
Projection20285.8%10.1%VTC Formula & CBO
Projection20295.2%10.4%VTC Formula & CBO
Projection20304.6%10.4%VTC Formula & CBO
Projection20314.0%10.5%VTC Formula & CBO
Projection20323.4%10.5%VTC Formula & CBO
Projection20332.8%10.4%VTC Formula & CBO
Projection20342.2%10.5%VTC Formula & CBO
Projection20351.6%10.5%VTC Formula & CBO
Projection20361.0%10.4%VTC Formula & CBO
Source Location: U.S. Census Bureau CPS ASEC (2001, 2006, 2011) and American Community Survey (2016 onward). International comparison: OECD Health at a Glance 2025, Population coverage for healthcare indicator. Marketplace plan selections: CMS Marketplace 2026 Open Enrollment Period Report (final, 23.1M) and CMS's 2025 record-year press release (final, 24.2M). Effectuated enrollment: CMS Effectuated Enrollment: Early 2025 Snapshot (23.4M Feb 2025 total, 21.8M APTC subset); KFF/Wakely Consulting Group analysis for the preliminary 2026 estimate range, pending CMS's own Early 2026 Snapshot. Program-integrity enforcement figure: CMS Marketplace 2026 Open Enrollment Period Report. Annual Value comparison series: CBO, Federal Subsidies for Health Insurance (February 2026 Baseline Projections), Table 1. NHE checkpoint figure cited in Feasibility: CMS Office of the Actuary, NHE Projections 2025-34 (Health Affairs, June 24, 2026), Exhibit 3. Direct-purchase projection: CMS NHE Projections 2025-34.
Status: Evidence sources and values verified
Interpretation: Lower is better.
Formula: Percent of population without health insurance coverage (ACS: at time of survey; CPS: for the entire prior calendar year). Glidepath: straight-line interpolation using true elapsed calendar years from the 2024 baseline, i.e. -0.6 percentage points per year.
Notes: Companion metric to Insured Rate; same CPS/ACS methodology-break caveat applies. Value column uses CBO's annual baseline (Social Security area population definition, distinct from the ACS series used for Target); CMS's own NHE checkpoint (9.5% uninsured by 2034) is cited separately in Feasibility rather than blended into this column.
HC-FIN-PCP-001
 
Requirement: Congress shall enact, fund, and oversee national health spending policies that hold U.S. health spending per capita at or below $18,863 by 2034, growing no faster than the Federal Reserve's 2.0% long-run PCE inflation target from the 2024 baseline of $15,474, with progress measured annually using CMS National Health Expenditure data.
 
Legislative Key Phrases: Health care cost containment; provider and hospital payment policy; prescription drug pricing policy; national health expenditure oversight.
 
Feasibility
 
Feasibility: The $18,863-by-2034 ceiling is achievable only as a deliberate policy stretch, not a level CMS, OECD, or any external body has projected or endorsed: nominal spending grew 6.1% in 2024, more than triple the 2.0% ceiling, and CMS's own baseline projects $25,513 by 2034 – nearly $6,650 above this target.
 
Discussion: Per-capita health spending grew 6.1% in 2024, from $14,580 to $15,474, using CMS's current-vintage NHE data (CMS's 2024 comprehensive benchmark revision retroactively revised the 2023 figure upward from an earlier-published $14,570; this row uses the current vintage throughout). The comparable measure is per-capita GDP growth, not aggregate GDP growth: GDP per capita grew 4.3% in 2024, so per-capita health spending outpaced per-capita GDP growth by 1.8 points. CMS's own National Health Expenditure projections (Fiore et al., Health Affairs, June 2026) put per-capita spending growth at an average 5.1% a year from 2025 through 2034, against 3.8% average GDP-per-capita growth over the same period, reaching $25,513 per person by 2034. An earlier draft of this requirement capped growth at a projected GDP rate; the current version instead ties the ceiling to the Federal Reserve's 2.0% long-run PCE inflation target. That is not the same as zero real healthcare-spending growth, though: the Fed's target tracks economy-wide consumer prices, while CMS separately projects its own healthcare-specific price index (the NHE deflator) to grow about 2.6% a year over 2025-2034. A nominal ceiling of 2.0% therefore implies roughly -0.6% annual real growth once deflated by healthcare-specific prices, not zero – a materially more demanding target than a "zero real growth" framing suggests, and one that would likely require declining real utilization or intensity of care, not merely flat real spending. Internationally, the U.S. spent an estimated $14,885 per person in 2024 on a purchasing-power-parity basis (OECD), against an OECD average of roughly $6,000 and $9,300-$9,963 for the next-highest spenders (Switzerland, Norway, Germany) – the U.S. was spending roughly 2.5 times the OECD average. PPP-adjusted international dollars and CMS's nominal U.S. dollars are not directly interchangeable units, so this comparison establishes relative scale, not a target level. $18,863 by 2034 remains a defensible high-ambition ceiling, but should be understood as a Voice to Congress stretch target informed by the Fed's inflation goal, not a level OECD, CMS, or any external body has itself projected or endorsed as achievable. A less aggressive, still internationally-informed alternative – a 3.0% nominal ceiling (roughly 2% general inflation plus 1% real growth) – would produce a $20,796 endpoint by 2034, still $4,717 below CMS's own baseline projection; that alternative was considered and not adopted – $18,863 by 2034 was Accepted by the user as the target.
 
Benefits
 
If Met: Staying at or below the inflation-only ceiling every year would mean healthcare stops consuming a growing share of real household and government budgets relative to the broader economy, directly easing the pressure captured in the Affordability metrics (HC-MET-AFF-001, HC-MET-AFF-002); it would also mean U.S. per-capita spending grows slower than CMS's own projected GDP-per-capita pace (3.8% average, 2025-34), a genuine reversal of the current pattern.
 
If Not Met: Continuing CMS's own baseline trajectory pushes total national health spending to nearly $9.0 trillion and per-capita spending to $25,513 by 2034, with per-capita costs continuing to outpace both wage growth and general inflation by a wide margin.
HC-MET-FIN-001: Health spending per capita
Current Value: $15,474 (2024)
Trend: +6.1% vs 2023 (Worsening)
Metric Evidence:
TypePeriodTargetValueSource
Actual2018---$11,042CMS NHE
Actual2019---$11,487CMS NHE
Actual2020---$12,637CMS NHE
Actual2021---$13,137CMS NHE
Actual2022---$13,689CMS NHE
Actual2023---$14,580CMS NHE
Actual2024---$15,474CMS NHE
Projection2025$15,783$16,486VTC* & CMS NHE
Projection2026$16,099$17,496VTC* & CMS NHE
Projection2027$16,421---VTC*
Projection2028$16,750$19,204VTC* & CMS NHE
Projection2029$17,085---VTC*
Projection2030$17,426---VTC*
Projection2031$17,775---VTC*
Projection2032$18,130---VTC*
Projection2033$18,493---VTC*
Projection2034$18,863$25,513VTC* & CMS NHE
Source Location: CMS National Health Expenditure Historical data (2018-2024, current January 2026 vintage, via Hartman et al., "National Health Care Spending Increased 7.2 Percent In 2024," Health Affairs, Jan 14, 2026, Exhibit 1). Projections (2025, 2026, 2028, 2034): Fiore et al., "National Health Expenditure Projections, 2025-34," Health Affairs (June 24, 2026), Exhibit 1; CMS's downloadable NHE Historical and Projections data file has the full annual series, but the remaining years (2027, 2029-2033) were not independently re-extracted this pass, so those Value cells are left blank rather than estimated. Inflation assumption: Federal Reserve long-run PCE target (2.0%); healthcare-specific price comparison: CMS NHE chain-weighted deflator (Fiore et al., Exhibit 1). International comparison: OECD-reported, PPP-adjusted per-capita health spending for 2024 (US $14,885; OECD average approximately $6,000; Switzerland $9,963, Norway $9,393, Germany $9,365).
Status: Evidence sources and values verified
Interpretation: Lower growth relative to inflation is better; this Projection row is a ceiling to stay AT OR BELOW, not a level to reach. The raw dollar figure is not inherently bad, only its growth rate relative to overall prices.
Formula: CMS NHE total health spending divided by U.S. population. Ceiling: 2024 baseline ($15,474) compounded annually at the Federal Reserve's 2.0% long-run PCE inflation target, 2025-34 – a policy-chosen compliance ceiling, not a statistical trend fit. A documented alternative ceiling of 3.0% nominal annual growth (roughly 2% general inflation plus 1% real growth) would produce $20,796 by 2034 instead of $18,863.VTC* is a derived value set, just below the 2025 baseline value and adjusted annually for inflation.
Notes: This requirement's target is a concrete annual dollar ceiling rather than a purely qualitative growth-rate rule; the benchmark is the Federal Reserve's economy-wide PCE inflation goal, which is a different price index than CMS's own healthcare-specific NHE deflator (about 2.6%/year, 2025-34) – see Feasibility for why that distinction matters.
HC-FIN-GDP-001
 
Requirement: Congress shall enact, fund, and oversee national health spending policies that hold total U.S. health spending at or below 18.0% of GDP in every year through 2034, with progress measured annually using CMS National Health Expenditure data.
 
Legislative Key Phrases: Health care cost containment; provider and hospital payment policy; prescription drug pricing policy; national health expenditure oversight.
 
Feasibility
 
Feasibility: Holding health spending at 18.0% of GDP every year requires reversing CMS's own baseline trajectory immediately, not catching up later: CMS projects the share climbing to 20.6% by 2034 absent a policy change. This is the flat "stabilize" reading of the requirement, not a level any external projection currently supports.
 
Discussion: Health spending's share of GDP rose from 17.7% in 2023 to 18.0% in 2024. CMS's June 2026 baseline (assuming no policy change) projects that share reaching 20.6% by 2034, with spending averaging 5.4% annual growth against 4.1% average GDP growth over the period. Holding the line at 18.0% every year, not just by 2034, requires reversing that baseline trajectory immediately rather than catching up later. This is the flat "stabilize" reading of the original requirement language; a declining ceiling below 18.0% would be more ambitious and could be substituted once a specific pace is reviewed and agreed.
 
Benefits
 
If Met: Holding the line at 18.0% every year instead of climbing to 20.6% by 2034 would preserve roughly 2.6 percentage points of GDP for other public and private priorities, hundreds of billions of dollars annually at 2034's projected economic size.
 
If Not Met: Continuing the current path reaches 20.6% of GDP by 2034 under CMS's own baseline, with national spending reaching nearly $9.0 trillion the same year.
HC-MET-FIN-002: Health spending as % of GDP
Current Value: 18.0% (2024)
Trend: +0.3 pp vs 2023 (Worsening)
Metric Evidence:
TypePeriodTargetValueSource
Actual2018---17.6%CMS NHE
Actual2019---17.7%CMS NHE
Actual2020---19.7%CMS NHE
Actual2021---18.4%CMS NHE
Actual2022---17.6%CMS NHE
Actual2023---17.7%CMS NHE
Actual2024---18.0%CMS NHE
Projection202518.0%18.4%VTC Policy Ceiling & CMS NHE
Projection202618.0%18.7%VTC Policy Ceiling & CMS NHE
Projection202718.0%---VTC Policy Ceiling
Projection202818.0%19.1%VTC Policy Ceiling & CMS NHE
Projection202918.0%---VTC Policy Ceiling
Projection203018.0%---VTC Policy Ceiling
Projection203118.0%---VTC Policy Ceiling
Projection203218.0%---VTC Policy Ceiling
Projection203318.0%---VTC Policy Ceiling
Projection203418.0%20.6%VTC Policy Ceiling & CMS NHE
Source Location: CMS National Health Expenditure Historical data, 2018-2024, current January 2026 vintage (Hartman et al., "National Health Care Spending Increased 7.2 Percent In 2024," Health Affairs, Jan 14, 2026, Exhibit 1). Projections (2025, 2026, 2028, 2034): Fiore et al., "National Health Expenditure Projections, 2025-34," Health Affairs (June 24, 2026), Exhibit 1; CMS's downloadable NHE Historical and Projections data file has the full annual series, but 2027 and 2029-2033 were not independently re-extracted this pass, so those Value cells are left blank rather than estimated.
Status: Evidence sources and values verified
Interpretation: Lower/stable is better. Each Projection row is a ceiling to stay AT OR BELOW, not a level to reach. The 2025, 2026, 2028, and 2034 rows' Value column shows CMS's own baseline for direct comparison against the 18.0% Target in the same year; other years show "---" since no verified intermediate CMS figure was found for them this pass.
Formula: Total National Health Expenditure divided by nominal GDP. Target: a flat 18.0% ceiling every year, 2025-2034 (the "stabilize" reading of the original requirement).
Notes: The 20.6% figure is CMS's own "if current law continues" baseline, not this project's target. It is the benchmark this requirement is trying to beat, the same role CBO's baseline plays in the NDD fiscal requirements. CMS does publish a complete annual 2025-2034 projection series in its official NHE Historical and Projections Data download; the four years shown here (2025, 2026, 2028, 2034) are the ones independently confirmed against a primary source this pass, not the only years CMS has published.
HC-QLT-LEX-001
 
Requirement: Congress shall enact, fund, and oversee public health and health care policies that raise U.S. life expectancy at birth to at least 81.95 years by 2036, following this project's International Benchmark Convergence Policy (closing 50% of the gap to Japan's OECD-reported benchmark by year 10, 75% by year 20, 100% by year 30), with progress measured annually using CDC/NCHS final mortality data against the SSA's own actuarial baseline.
 
Legislative Key Phrases: Public health policy; preventive care access; chronic disease prevention and management; environmental and social determinants of health policy.
 
Feasibility
 
Feasibility: Reaching 81.95 years by 2036 is achievable as a real intermediate milestone – life expectancy has recovered for three consecutive years, and the target requires closing only half the SSA-to-Japan gap, with full convergence deferred to 2056 – but it is more demanding than SSA's own passive baseline (79.8 by 2036), so it requires the recent recovery to continue and accelerate, not merely persist. Open item flagged for the next scheduled review: even hitting this target only narrows the absolute gap to Japan to about 4.2 years, less closure than the 50% framing implies.
 
Discussion: Life expectancy has recovered for three consecutive years (77.5 in 2022, 78.4 in 2023, 79.0 in 2024) after the COVID-era decline to 76.4 in 2021. The SSA's own actuarial baseline (Actuarial Note No. 2026.2, June 2026) projects 79.8 by 2036 if nothing changes. OECD Health at a Glance 2025 identifies Switzerland, Japan, Spain, and Israel as leading a group of 27 OECD countries above 80 years in 2023; Japan's reported figure (84.1) was chosen as this policy's fixed benchmark because it is on the identical OECD basis as the U.S.'s own 78.4-year figure, a genuine apples-to-apples comparison, not because Japan is unambiguously the single highest performer among the four. This target applies a new policy: close 50% of the SSA-baseline-to-Japan gap by year 10 (2036), 75% by year 20 (2046), 100% by year 30 (2056), matching Japan's OECD-reported 2023 benchmark of 84.1 years by that final milestone. That gives 79.8 + 0.5 x (84.1-79.8) = 81.95 for 2036, 83.27 for 2046, and 84.10 for 2056. A straight line from the 2026 baseline (78.9) to 81.95 would require the U.S. to sustain roughly 3.4 times SSA's own baseline pace starting immediately, unrealistic given that policy changes take years to affect mortality data. The annual path below instead uses a quadratic ramp: each year's target equals SSA's baseline for that year plus an accelerating share of the total stretch (proportional to the square of elapsed time toward 2036), so early years track close to the passive baseline and the pace of improvement compounds over the decade. A floor was added so the target never falls below the most recent confirmed actual (79.0, 2024): the raw formula gives 78.90 for 2026, which would ask less of the system than it has already achieved; the floor raises that single year to 79.00. An alternative, more rigorous version of this policy exists: Japan's own population institute (IPSS) publishes annual sex-specific life-expectancy projections through 2070, which could replace the fixed 84.1 benchmark with a moving one specific to each milestone year. Combining IPSS's male and female projections into a unisex figure (using SSA's own birth-weighted combination method) gives approximately 86.14 (2036), 87.07 (2046), and 87.87 (2056), noticeably higher than the fixed benchmark used here. IPSS's near-term figures have historically run optimistic, though (its medium projection expected 2024 figures around 81.88/87.94 for men/women; Japan's subsequent official life tables reported 81.09/87.13), so a moving-benchmark version would need regular recalibration against Japan's actual releases. The fixed-benchmark version adopted here is simpler and more conservative; switching to the moving version remains a live option for a future policy revision.
 
Benefits
 
If Met: Reaching 81.95 by 2036 would close half the gap to Japan's OECD-reported 2023 benchmark, a real, achieved figure, not a hypothetical one, while still falling short of matching it outright until 2056 under this policy's 30-year full-convergence horizon.
 
If Not Met: Falling back to a 2015-2017-style plateau, or another shock, would mean the U.S. fails to reach even SSA's own passive baseline (79.8 by 2036), let alone half the gap to a country whose latest OECD-reported life expectancy benchmark is 84.1 years.
HC-MET-QLT-001: Life expectancy at birth
Current Value: 79.0 years (2024, final, record high)
Trend: +0.6 yr vs 2023 (Improving)
Metric Evidence:
TypePeriodTargetValueSource
Actual2001---77.0CDC/NCHS
Actual2002---77.3CDC/NCHS
Actual2003---77.5CDC/NCHS
Actual2006---77.8CDC/NCHS
Actual2011---78.7CDC/NCHS
Actual2016---78.7CDC/NCHS
Actual2021---76.4CDC/NCHS
Actual2022---77.5CDC/NCHS
Actual2023---78.4CDC/NCHS
Actual2024---79.0CDC/NCHS
Projection2025---79.0SSA
Projection202679.0078.9VTC Quadratic Ramp & SSA
Projection202779.0279.0VTC Quadratic Ramp & SSA
Projection202879.1979.1VTC Quadratic Ramp & SSA
Projection202979.3979.2VTC Quadratic Ramp & SSA
Projection203079.5479.2VTC Quadratic Ramp & SSA
Projection203179.8479.3VTC Quadratic Ramp & SSA
Projection203280.1779.4VTC Quadratic Ramp & SSA
Projection203380.5579.5VTC Quadratic Ramp & SSA
Projection203480.9879.6VTC Quadratic Ramp & SSA
Projection203581.4479.7VTC Quadratic Ramp & SSA
Projection203681.9579.8VTC Quadratic Ramp & SSA
Source Location: CDC/NCHS National Vital Statistics System, annual "Mortality in the United States" NCHS Data Brief series (final data each year) and individual United States Life Tables reports for 2002 and 2003, for Actual rows 2001-2024. SSA, Office of the Chief Actuary, Actuarial Note No. 2026.2 (June 2026), Table 1 (Period Life Expectancy, unisex, at birth, intermediate assumptions), for the 2025 estimate and Value column 2026-2036. OECD Health at a Glance 2025, Japan and United States country notes, for the benchmark comparison (84.1 vs. 78.4). IPSS, Population Projections for Japan: 2021-2070 (2023 Revision), Table 4-2, for the alternative moving-benchmark figures discussed in Feasibility.
Status: Evidence sources and values verified
Interpretation: Higher is better. Target and Value now differ again: Target is this project's policy-driven stretch goal (quadratic convergence toward Japan's fixed OECD benchmark, floored at the most recent actual), Value is SSA's own passive baseline, shown side by side so the size of the ambition gap is visible every year, not just at the 2036 endpoint.
Formula: Period life table, CDC/NCHS standard methodology for Actual rows 2001-2024; SSA's own methodology for the 2025 estimate and Value column. Target: International Benchmark Convergence Policy, quadratic ramp with an anti-regression floor. For year t years after 2026 (t=0..10): Target(t) = max(79.0, SSA_baseline(t) + 2.15 x (t/10)^2), where 2.15 is 50% of the gap between SSA's 2036 baseline (79.8) and Japan's fixed OECD-reported benchmark (84.1). The same policy, applied at 20 and 30 years, gives 83.27 (2046, 75% closure) and exactly 84.10 (2056, 100% closure, matching the fixed Japan benchmark).
Notes: The 2016 figure was revised upward from the originally-published 78.6 after CDC incorporated updated Medicare mortality data in 2018. The 2001 figure (77.0) is from CDC's compiled historical table; the original year-specific 2001 report cites 77.2, a roughly 0.2-year cross-report revision similar in kind to the 2016 revision. CDC's own current number (79.0), OECD's international-comparison number (78.4, on OECD's harmonized/lagged basis), and SSA's own methodology are three separate bases and should not be blended together. REVIEW POLICY: revisit annually given letters and report cards use this metric; when the next CDC/NCHS final annual actual is published, compare it against this row's Target, and if it falls short, conduct a root-cause analysis before the next report card cycle rather than waiting for the scheduled 5-year recalibration. Recalibrate the underlying assumptions (baseline, benchmark country, closure percentages, and the fixed-vs-moving benchmark choice) roughly every 5 years or sooner if evidence of real-world impact, or lack of it, accumulates faster than that.
HC-QLT-AVM-001
 
Requirement: Congress shall enact, fund, and oversee public health and health care policies that reduce U.S. preventable mortality from 217 per 100,000 (2022 OECD-verified baseline) to no more than 145 by 2036, and treatable mortality from 95 to no more than 77 by 2036 – both matching the current OECD average – with progress measured annually using OECD Health Statistics under the OECD/Eurostat avoidable-mortality definitions.
 
Legislative Key Phrases: Public health policy; preventive care access; chronic disease prevention and management; primary and specialty care access.
 
Feasibility
 
Feasibility: The 145/77 target is achievable as a real but moderate benchmark: it matches the current OECD average, not the leading countries' considerably lower rates, so it doesn't require top-tier performance. The most recent U.S. data (2022) already improved from the pandemic-affected 2021 reading, though OECD hasn't yet published 2023-2025 U.S. observations to confirm the improvement has continued.
 
Discussion: U.S. preventable mortality (217 per 100,000, 2022) runs about 50% above the OECD average (145), while treatable mortality (95) runs about 23% above the OECD average (77). The prevention-side gap is proportionally larger, pointing toward primary care access and public health investment as the higher-leverage fix. Three real OECD data points are available for this metric – 2013 (178/93), 2021 (238/98), and 2022 (217/95) – but they span different OECD report editions, and OECD does not yet publish a U.S. observation for 2023-2025 for this indicator, since mortality-cause data requires more processing lag than spending or coverage data. The recent trend is mixed depending on the comparison window: preventable mortality improved by 21 per 100,000 and treatable mortality improved by 3 from 2021 to 2022, but 2021 was a COVID-affected year; compared with the pre-pandemic 2013 baseline, 2022 was 39 points worse for preventable mortality and 2 points worse for treatable mortality. Given that mixed and thin history, a trend-fit Derived Projection isn't defensible; what remains possible is a straight-line glidepath from the current 2022 baseline to the OECD average itself, used here as the target endpoint since it's a real, external, defensible benchmark. Because no OECD actual exists after 2022, the glidepath treats the 2022 baseline as the administrative starting point and begins its first required step in 2026 – 11 equal annual steps, rather than a calendar-year interpolation from 2022, since retroactively treating 2023-2025 as policy-implementation years wouldn't be fair to a requirement adopted in 2026. This endpoint is a real but moderate benchmark, not a stretch to top-country performance: OECD's best performers post considerably lower rates still (preventable mortality below 85 in Luxembourg, Switzerland, and Israel; treatable mortality at 45 or lower in Switzerland, Luxembourg, and Korea), so reaching 145/77 would close the gap with the OECD average without matching the leading countries.
 
Benefits
 
If Met: Reaching 145/77 by 2036 would mean the U.S. reaches the current OECD average on both preventable and treatable mortality – substantially narrowing, but not eliminating, the gap with the highest-performing countries, which post considerably lower rates on both measures.
 
If Not Met: The gap persists, and the U.S. continues recording avoidable deaths from both preventable and treatable causes at rates well above the OECD average, let alone the best-performing peer countries.
HC-MET-QLT-002: Avoidable mortality (preventable & treatable)
Current Value: 217 / 95 per 100,000 (2022)
Trend: -21 / -3 vs 2021 (Improved vs. pandemic-era 2021, still worse than 2013)
Metric Evidence:
TypePeriodTargetValueSource
Actual2013---178 / 93OECD
Actual2021---238 / 98OECD (2023 edition)
Actual2022---217 / 95OECD
Projection2026210 / 93---VTC Formula
Projection2027204 / 92---VTC Formula
Projection2028197 / 90---VTC Formula
Projection2029191 / 88---VTC Formula
Projection2030184 / 87---VTC Formula
Projection2031178 / 85---VTC Formula
Projection2032171 / 84---VTC Formula
Projection2033165 / 82---VTC Formula
Projection2034158 / 80---VTC Formula
Projection2035152 / 79---VTC Formula
Projection2036145 / 77---VTC Formula
Source Location: OECD Health at a Glance 2025, United States country note (2022 data, and OECD average 145/77); OECD Health Statistics 2025 database (2013 data point, via the Health at a Glance 2025 avoidable-mortality chapter); OECD Health at a Glance 2023, United States country note (2021 data, 238/98). Best-performing-country comparison (Luxembourg, Switzerland, Israel for preventable; Switzerland, Luxembourg, Korea for treatable) per the same OECD Health Statistics 2025 database.
Status: Evidence sources and values verified
Interpretation: Lower is better for both sub-measures. Each row shows both sub-measures together as preventable / treatable, since they share the same source, glidepath structure, and horizon.
Formula: OECD standardized preventable/treatable mortality rates per 100,000 population (deaths before age 75, age-standardized to the 2015 OECD population, OECD/Eurostat cause lists). Glidepath: straight-line interpolation over 11 equal annual steps from the 2022 baseline (217 preventable / 95 treatable) to the OECD average (145/77), reached in 2036; the first step falls in 2026 since no OECD actual exists for 2023-2025. No historical trend fit is used – this is a policy glidepath to an external benchmark, not a statistical projection.
Notes: OECD's best-performing countries post considerably lower rates than the 145/77 target: preventable mortality below 85 in Luxembourg, Switzerland, and Israel; treatable mortality at 45 or lower in Switzerland, Luxembourg, and Korea. Reaching 145/77 would close the gap with the OECD average, not with these top performers. The 2021 figures (238/98) come from the prior OECD Health at a Glance 2023 edition and should not be blended with the 2025 edition's 2022 figures (217/95) or OECD average (145/77) as though they were the same data vintage; they're shown here as historical context only.
HC-AFF-MDR-001
 
Requirement: Congress shall enact, fund, and oversee medical debt protection policies that reduce the national medical debt incidence rate from the KFF/SIPP baseline of 6.0% of adults owing over $1,000 (2021, the latest published threshold-matched estimate) to 2% by 2036, with the data vintage of the SIPP wave in use disclosed in every public report.
 
Legislative Key Phrases: Medical debt protection; consumer financial protection in health care; hospital billing and collections practices; charity care policy.
 
Feasibility
 
Feasibility: The 2% endpoint is an ambitious two-thirds reduction from the only available data point (6.0%, 2021) – not a level projected or endorsed by Census, KFF, CBO, or CMS. There's no newer data at this exact threshold to confirm whether the current trajectory supports or undercuts that ambition; achievability rests on a Voice to Congress judgment call, not external validation.
 
Discussion: The 2% endpoint represents a proposed two-thirds reduction from the latest published threshold-matched baseline (6.0%, 2021 SIPP) – an ambitious Voice to Congress target, not a level projected or endorsed by Census, KFF, CBO, CMS, or another external authority. Newer SIPP waves exist – 2023 SIPP (covering 2022), 2024 SIPP (covering 2023), and the 2025 SIPP (covering 2024, released July 15, 2026, the most current wave available) – but Census does not publish the exact adults-owing-more-than-$1,000 percentage in its standard tables; KFF's specific measure must be recomputed from public-use microdata with person weights, and that recomputation has not yet been performed for any of the newer waves. There's also a variable break to account for whenever that recomputation happens: SIPP's amount variables were redesigned starting with the 2024 SIPP (the revised combined measure is TDEBT_MD; the basic indicator EDEBT_MED remains available), so any future recomputation needs to be version-aware. In plain terms: there is exactly one real data point for this metric at its actual threshold ($1,000+, adults) – 6.0% in 2021. Nothing newer at this specific threshold has been published or computed; the current value stays at 6.0% (2021) until that changes. A genuine historical-depth limit also applies: SIPP did not ask a medical debt question at all before its 2018 survey wave (covering 2017), so no 2001/2006/2011/2016 data points exist to find at any threshold. Census separately tracks a broader household-level "any medical debt" measure with a longer annual history (19% of households in 2017, trending down to roughly 14-16% by the early-to-mid 2020s) – a different metric, different population, and different threshold from the one this requirement targets, so it isn't used as evidence here. No external body publishes an annual national projection through 2036 for the adult $1,000+ threshold measure specifically; two related modeling sources exist (a longitudinal microsimulation called LHIEM, and a JAMA Health Forum scenario estimating $7.6 billion in additional medical debt by 2034 under a specific Medicaid-policy change) but neither supplies a ready-made incidence series for this exact metric, so the Value column stays blank for every Projection year rather than being filled with an approximation.
 
Benefits
 
If Met: A decline to 2% would mean roughly a third as many adults carrying significant ($1,000+) medical debt as today – at the 2021 adult population size, a reduction from about 14 million to roughly 4.7 million, or about 9.3 million fewer affected adults.
 
If Not Met: Medical debt remains a major source of financial hardship. KFF's latest published SIPP-based estimate indicates Americans owed at least $200 billion in medical debt at the end of 2023; an earlier threshold-focused KFF analysis estimated at least $220 billion at the end of 2021. The two estimates aren't directly comparable year-over-year – aggregate survey debt totals are sensitive to a small number of very high-debt respondents.
HC-MET-AFF-001: Medical debt incidence
Current Value: 6.0% of adults, $1,000+ threshold (2021)
Trend: Not yet established (Only one data point exists at this threshold)
Metric Evidence:
TypePeriodTargetValueSource
Actual2021---6.0% of adults owe > $1,000KFF analysis of Census SIPP
Projection20265.6%---VTC Formula
Projection20275.3%---VTC Formula
Projection20284.9%---VTC Formula
Projection20294.5%---VTC Formula
Projection20304.2%---VTC Formula
Projection20313.8%---VTC Formula
Projection20323.5%---VTC Formula
Projection20333.1%---VTC Formula
Projection20342.7%---VTC Formula
Projection20352.4%---VTC Formula
Projection20362.0%---VTC Formula
Source Location: KFF analysis of the 2021 Census Survey of Income and Program Participation (SIPP), Peterson-KFF Health System Tracker.
Status: Evidence sources and values verified
Interpretation: Lower is better.
Formula: Percent of adults reporting more than $1,000 in medical debt (KFF analysis of SIPP person-level microdata). "VTC Formula" (2026-2036): policy implementation treated as beginning in 2026, reducing by approximately 0.364 percentage points annually (4 points over 11 steps) from the 6.0% 2021 baseline to a proposed 2.0% endpoint in 2036 – a straight-line policy path to a Voice-to-Congress-chosen number, not a statistical regression on this metric's own history (there's only one real data point at this threshold to regress on).
Notes: A separate, broader 2022 KFF Health Care Debt Survey (self-reported, includes credit-card and family-owed debt) found 41% of adults have some form of health care debt – a different, broader definition again. Census also tracks a household-level "any medical debt" series with a longer annual history, but it's a different metric (household, not adult; any amount, not $1,000+) and isn't used as evidence for this specific requirement. Recomputing the primary $1,000+ adult metric for 2022-2024 from the newer SIPP microdata would require: adults 18+, person-level medical debt, debt strictly greater than $1,000, calendar-year survey weights, replicate weights for standard errors, and version-aware handling of the 2024 SIPP's redesigned amount variables (TMED_AMT in earlier waves; the revised combined measure is TDEBT_MD, with the basic indicator EDEBT_MED also available). That computation has not been performed this pass.
HC-AFF-FPR-001
 
Requirement: Congress shall enact, fund, and oversee health care affordability policies that reduce the percent of adults reporting delayed or skipped medical care due to cost from the Federal Reserve SHED 2025 baseline of 26% to 20% by 2036, with progress measured annually using the Federal Reserve's Survey of Household Economics and Decisionmaking.
 
Legislative Key Phrases: Health care affordability; cost-sharing policy (deductibles and copayments); Marketplace subsidy and premium assistance policy.
 
Feasibility
 
Feasibility: The 20%-by-2036 target is achievable: a straight-line path over the full 11-year horizon (roughly 0.55 points/year) is gentler than the largest historical single-year move on record, and while real progress, it still leaves a large share of adults delaying or skipping care for cost reasons. The low-confidence regression stays out of the evidence table per the prior decision; the Target doesn't depend on it.
 
Discussion: This metric has a longer, richer history than earlier drafts of this row used. Gallup tracked a similar (but not identical) question annually from 2001, showing 19% in 2001 and a jump to a roughly 30% plateau that held from 2006 through the late 2010s – useful historical context on scale, but not directly comparable to the Federal Reserve series that replaced it, since the two organizations ask about different reference periods and care categories. The Federal Reserve's own SHED series runs 2013-2025: 32% (2013), 31% (2014), 24% (2018), 25% (2019), 23% (2020), 24% (2021), 28% (2022), 27% (2023), 28% (2024), and 26% (2025). A SHED-comparable figure exists for 2016 and 2017 too, but the Federal Reserve's own documentation flags a question-wording change around that period that may make those two years non-comparable to the rest of the series, so they're excluded from the trend and regression here rather than included with uncertain footing. Across the 10 confirmed years, a linear regression is weak but usable (R-squared approximately 0.24, slope approximately -0.37 points/year) – weak because the series is genuinely noisy (a 2013-2014 high, a 2018-2021 trough, a sharp 2022 spike, gradual improvement since), not because too little data exists. That regression was initially shown as the evidence-table Value column for 2026-2036, but was removed on review: at R-squared 0.24, presenting it as a projected Value implied more confidence than a weak regression on a noisy series actually supports, even with a low-confidence label attached. The 2026-2036 rows now show Target only, consistent with how most other Target Pending rows on this page present a policy-chosen glidepath without an accompanying statistical projection. The target path changes with this revision: the original draft paired a 20% target with 2026, a single-year 6-point jump the data doesn't support (the largest year-over-year move on record is 4 points); a subsequent revision reached 20% by 2034 in roughly 0.75-point annual steps, then held flat as a ceiling through 2036. This version instead spreads the same 6-point improvement across the full 11-year horizon, reaching 20% by 2036 in roughly 0.55-point annual steps – gentler than the largest historical single-year move, with no flat-ceiling period needed since the endpoint now aligns with the horizon itself. Note the 2025 level (26%) is still above the 2021 low of 24%, so the recent improvement is a partial recovery, not a new record, and reaching 20% by 2036 – while real progress – still leaves roughly 1 in 5 adults delaying or skipping care because of cost.
 
Benefits
 
If Met: Reaching 20% by 2036 would represent the lowest cost-related care avoidance recorded since the Federal Reserve began this survey series in 2013 – real progress, though still meaning roughly 1 in 5 adults delay or skip care because of cost.
 
If Not Met: Stalling above 24–26% keeps roughly 1 in 4 adults skipping needed medical care because of cost every year, in line with the regression's own low-confidence projection, which shows only gradual improvement absent a specific policy driver.
HC-MET-AFF-002: Delayed or skipped care due to cost
Current Value: 26% (2025)
Trend: -2 pp vs 2024 (Improving, but still above the 2021 low)
Metric Evidence:
TypePeriodTargetValueSource
Historical2001---19%Gallup
Historical2006---30%Gallup
Historical2011---30%Gallup
Actual2013---32%Federal Reserve SHED
Actual2014---31%Federal Reserve SHED
Actual2018---24%Federal Reserve SHED
Actual2019---25%Federal Reserve SHED
Actual2020---23%Federal Reserve SHED
Actual2021---24%Federal Reserve SHED
Actual2022---28%Federal Reserve SHED
Actual2023---27%Federal Reserve SHED
Actual2024---28%Federal Reserve SHED
Actual2025---26%Federal Reserve SHED
Projection202625.5%---VTC Formula
Projection202724.9%---VTC Formula
Projection202824.4%---VTC Formula
Projection202923.8%---VTC Formula
Projection203023.3%---VTC Formula
Projection203122.7%---VTC Formula
Projection203222.2%---VTC Formula
Projection203321.6%---VTC Formula
Projection203421.1%---VTC Formula
Projection203520.5%---VTC Formula
Projection203620.0%---VTC Formula
Source Location: Gallup Health and Healthcare poll (annual, 2001-2019+) for historical context only. Federal Reserve, Report on the Economic Well-Being of U.S. Households (SHED), annual editions 2013-2025, for all Actual rows and the regression.
Status: Evidence sources and values verified
Interpretation: Lower is better. The three Gallup rows are historical context, not evidence for this metric's trend, target, or projection – Gallup and SHED ask different questions over different reference periods and aren't on the same series.
Formula: Percent of adults reporting they went without some form of medical care in the prior 12 months because they could not afford it (Federal Reserve SHED). Target: straight-line interpolation using true elapsed calendar years from the 2025 baseline (26%) to a 20% endpoint in 2036, in roughly 0.55-point annual steps across the full 11-year horizon. The low-confidence OLS regression (R-squared approximately 0.24) was evaluated and deliberately excluded from the evidence table's Value column, since presenting it would imply more confidence than a weak regression on a noisy series supports; the Target does not depend on it.
Notes: SHED is fielded annually in Q4 and published the following spring. The 20% endpoint carries forward the tightened target (revised down from its original 25%, since the 2025 actual of 26% had nearly already reached that); the full 6-point improvement is now spread across the entire 2026–2036 horizon (~0.55 points/year) rather than an earlier deadline with a flat-ceiling tail. The regression is weak (R-squared approximately 0.24) because the underlying series is genuinely noisy year to year, not because there's too little data — 10 confirmed years is a reasonable base, but the series doesn't move in a clean line. It's excluded from the evidence table's Value column for that reason; the target's own pace doesn't depend on it.
HC-ACC-PCP-001
 
Requirement: Congress shall enact, fund, and oversee primary care workforce policies that raise the national primary care Percent of Need Met to 70% by 2036, from the December 2025 baseline of 48.2%, including directing HRSA to incorporate nurse practitioner and physician assistant capacity into the underlying HPSA shortage-designation formula, with progress measured using HRSA's quarterly HPSA designation data.
 
Legislative Key Phrases: Primary care workforce policy; graduate medical education funding; health professional shortage area programs; rural and underserved-area provider incentives.
 
Feasibility
 
Feasibility: Achievable as a moderately aggressive target, but only when paired with both policy and workforce growth: under HRSA's current physician-only formula, workforce growth alone supports closing to roughly 55-58% by 2036, not 70%. The additional 12-15 points depends on Congress also directing HRSA to count nurse practitioner and physician assistant capacity toward HPSA designation removal – combined primary care clinician density (106 per 100,000) already sits close to the international benchmark range (80-120 per 100,000), so pairing that formula change with continued workforce growth is what gets this target within reach by 2036.
 
Discussion: Closing the current HPSA-designation gap requires 15,604 additional primary care physicians nationally (December 2025 baseline), and the most recently published quarter shows the gap widening, not narrowing: Percent of Need Met slipped to 47.74% (from 48.18%) and physicians needed rose to 17,306 (from 15,604) by March 31, 2026. There is no historical track record of improvement to extrapolate from – both real data points move the wrong way – so this target rests on supply-side analysis, not a trend fit. AAMC's most recent workforce projections put net new primary care physicians entering practice at roughly 6,000/year nationally, after subtracting hospitalist and non-primary-care diversion, against a workforce HRSA's own Health Workforce Simulation Model expects to keep losing ground to demand, not gaining on it, absent a specific new policy intervention. Each percentage point of Percent of Need Met costs roughly 300 additional physicians specifically practicing in designated shortage areas, not physicians anywhere in the country – most new primary care physicians do not locate in underserved areas, which is the maldistribution problem this metric exists to measure. Under the physician-only formula and current supply trends, a defensible 2036 endpoint is closer to 55-58%, not 70%.
 
Benefits
 
If Met: Reaching 70% need met by 2036 would mean most of the current gap is closed, provided Congress also acts on the NP/PA formula change this target assumes; HRSA's own broader workforce model still projects a 70,610 FTE shortfall by 2038 on a different, larger measure, so this would not fully close that broader gap, and full designation resolution would remain unfinished business beyond 2036.
 
If Not Met: Over 92 million people (as of the December 2025 baseline) continue living in areas where under half the primary care capacity needed is actually available, and the trend since is not encouraging: the gap widened further by March 2026. Falling short of 70% is especially likely if Congress funds workforce growth without also directing the NP/PA formula change – the physician-only path alone supports only about 55-58% by 2036.
HC-MET-ACC-001: Primary care shortage (Percent of Need Met)
Current Value: 47.74% (latest published: Mar. 31, 2026)
Trend: -0.44 pp vs Dec. 2025 baseline (Worsening)
Metric Evidence:
TypePeriodTargetValueSource
Actual2025-12-31---48.18%HRSA Designated HPSA Quarterly Summary
Projection202650.2%---VTC Formula
Actual2026-03-3150.2%47.74%HRSA Designated HPSA Quarterly Summary
Projection202752.2%---VTC Formula
Projection202854.1%---VTC Formula
Projection202956.1%---VTC Formula
Projection203058.1%---VTC Formula
Projection203160.1%---VTC Formula
Projection203262.1%---VTC Formula
Projection203364.1%---VTC Formula
Projection203466.0%---VTC Formula
Projection203568.0%---VTC Formula
Projection203670.0%---VTC Formula
Source Location: HRSA Bureau of Health Workforce, Designated HPSA Quarterly Summary (data.hrsa.gov's report generator shows the most recently published quarter; the December 2025 and March 2026 figures above were confirmed directly against that source's Table 1 at the time each was pulled). The 2026-03-31 row's Target column (52.9%) repeats the full-year 2026 annual target for reference – it is not a quarter-specific target, just a same-number comparison point to gauge whether the year is tracking toward or away from that year-end goal.
Status: Evidence sources and values verified
Interpretation: Higher Percent of Need Met is better. CORRECTED: this is the ratio of available provider capacity to the capacity needed to remove the HPSA designation. It does NOT represent the percentage of residents who are personally served or unserved.
Formula: Percent of Need Met = primary care physicians available / physicians needed to eliminate designation, per HRSA's 3,500:1 (or 3,000:1 in high-need areas) population-to-provider threshold. HRSA's currently-published formula counts physicians only, excluding nurse practitioners and physician assistants; this target assumes Congress directs that formula to be expanded to count NP/PA capacity (see Feasibility) – the Actual data in this row's evidence table reflects the current, narrower, physician-only formula, not the expanded one this target assumes. Glidepath: straight-line interpolation from the December 2025 baseline (48.2%) to a proposed 70% endpoint in 2036, roughly 2.0 points a year, not a trend fit (no valid historical trend exists for this metric). The glidepath's own baseline and annual steps are not recomputed from the newer March 2026 interim data – that row is shown as current-state evidence, not as a new anchor point for the target math.
Notes: December 31, 2025 context: 8,467 primary-care HPSA designations covered 92,285,375 people. HRSA estimated that 15,604 additional primary-care physicians were needed to remove all designations. March 31, 2026 context: 8,789 designations covered 101,733,016 people, with 17,306 additional physicians needed. Population and designation totals may include overlap among designations. HRSA revises HPSA designations around July 1 each year; the next Federal Register Notice reconciling proposed-for-withdrawal designations is scheduled on or before July 1, 2027. HRSA's own separate supply/demand model (State of the Primary Care Workforce, 2025) projects a national shortfall of 70,610 FTE primary care physicians by 2038 – a much larger number than the figures above because it measures total demand versus total supply nationally, not just designation removal; the two should not be added together or compared directly.
HC-MNT-MHR-001
 
Requirement: Congress shall enact, fund, and oversee behavioral health workforce policies that raise the national mental-health HPSA Percent of Need Met to 47% by 2036, growing by at least 2 percentage points annually from a 2026 baseline of 27%, with progress measured using HRSA's quarterly HPSA designation data.
 
Legislative Key Phrases: Behavioral health workforce policy; graduate medical education funding (psychiatry and behavioral health); mental health parity enforcement; rural and underserved-area provider incentives.
 
Feasibility
 
Feasibility: A 2-point-per-year pace is moderately aggressive but defensible: it requires roughly 190 additional practitioners nationally per year (about 1,900 cumulative by 2036, close to a quarter of the current 6,800-practitioner gap) – a real draw on the broader core-mental-health-provider pipeline (psychologists, clinical social workers, marriage and family therapists), even though the psychiatrist-specific pipeline alone (roughly 1,500-1,900 new residency graduates a year nationally, against a workforce still net-contracting through the late 2020s per multiple independent projections) could not support this pace by itself.
 
Discussion: This measures a specific HRSA designation – the Mental Health HPSA – not the full behavioral health workforce (a broader category that also covers substance-use services and a wider set of providers). Mental-health HPSA shortages are more severe than primary care's (27.3% vs. 48.2% need met, both December 2025). HRSA now publishes this data quarterly; the most recent published quarter, as of March 31, 2026, shows 26.78% need met (6,959 designations, 148,559,886 population, 7,393 practitioners needed) – worse than December 2025 on every measure, after having improved from 26.4% (December 2024) to 27.3% (December 2025) the year before. The trend isn't a clean line in either direction: it improved through 2025, then slipped again in early 2026, and there's no historical track record of sustained improvement to extrapolate a pace from.
 
Benefits
 
If Met: Reaching 47% by 2036 would mean the mental-health HPSA gap has been meaningfully narrowed, not just held from getting worse – roughly a quarter of the current practitioner shortfall closed, concentrated in the areas of highest need, though full designation resolution would remain a longer-term goal beyond 2036.
 
If Not Met: Over 137 million people (as of the December 2025 baseline) continue living in a designated mental-health shortage area, and the most recent data available shows that gap widening rather than closing; falling short of even this moderately aggressive target would mean the practitioner pipeline isn't keeping pace with even a partial closing of the gap.
HC-MET-ACC-002: Mental-health HPSA provider capacity – Percent of Need Met
Current Value: 27.29% baseline (Dec. 31, 2025). Latest published: 26.78% (Mar. 31, 2026)
Trend: -0.51 pp vs Dec. 2025 baseline (Worsening in the latest snapshot, after improving through 2024-2025)
Metric Evidence:
TypePeriodTargetValueSource
Actual2024-12-31---26.44%HRSA Designated HPSA Quarterly Summary
Actual2025-12-31---27.29%HRSA Designated HPSA Quarterly Summary
Projection202627.0%---VTC Formula
Actual2026-03-3127.0%26.78%HRSA Designated HPSA Quarterly Summary
Projection202729.0%---VTC Formula
Projection202831.0%---VTC Formula
Projection202933.0%---VTC Formula
Projection203035.0%---VTC Formula
Projection203137.0%---VTC Formula
Projection203239.0%---VTC Formula
Projection203341.0%---VTC Formula
Projection203443.0%---VTC Formula
Projection203545.0%---VTC Formula
Projection203647.0%---VTC Formula
Source Location: HRSA Bureau of Health Workforce, Designated HPSA Quarterly Summary (data.hrsa.gov's report generator shows the most recently published quarter); KFF State Health Facts for archived HRSA-based national snapshots.
Status: Evidence sources and values verified
Interpretation: Higher Percent of Need Met is better. This is a provider-capacity ratio within designated shortage areas. It does NOT represent the percentage of residents receiving care, the percentage of national behavioral-health demand served, or the percentage of the entire United States with adequate access.
Formula: Percent of Need Met = mental-health provider capacity available to serve each designated area, population group, or facility / provider capacity necessary to reduce the applicable population-to-provider ratio below the threshold required to eliminate the mental-health HPSA designation. A mental-health HPSA may qualify based on a psychiatrist ratio, a core mental-health-provider ratio, or both; core providers include psychiatrists, clinical psychologists, clinical social workers, psychiatric nurse specialists, and marriage and family therapists. Most current mental-health HPSAs are based on psychiatrist-only ratios (30,000:1, or 20,000:1 in high-need areas); the broader core-provider basis (9,000:1, or 6,000:1 in high-need areas) is more attainable given a larger existing provider pool, but this row's own designation mix is not confirmed to predominantly use one basis or the other (see Discussion). Correctional facilities and state mental hospitals use separate rules. Target glidepath: 27% in 2026, growing 2.0 points annually to 47% by 2036 – a policy-chosen pace, not a trend fit (no valid historical trend exists for this metric).
Notes: December 31, 2025 context: HRSA reported 6,807 mental-health HPSA designations covering a reported population of 137,133,953 and requiring approximately 6,800 additional mental-health practitioners to remove the designations. March 31, 2026 context: 6,959 designations, 148,559,886 population, 7,393 practitioners needed. HPSA populations may overlap and therefore do not represent unique residents. Most, but not all, mental-health HPSA designations are based on psychiatrist-to-population ratios, so "practitioners needed" is not the same as "psychiatrists needed" across the whole series.
HC-QLT-PHO-001
 
Requirement: Congress shall enact, fund, and oversee preventive and chronic-disease-management policies that reduce U.S. preventable hospital admissions for ambulatory care-sensitive conditions (AHRQ PQI-90) among the general adult population from the 2017 baseline of 1,328.4 per 100,000 to 1,062.7 (a 20% reduction) by 2036, with progress measured annually using AHRQ's Healthcare Cost and Utilization Project (HCUP). See Row 20 (HC-QLT-PHM-001) for the companion Medicare fee-for-service beneficiary requirement.
 
Legislative Key Phrases: Chronic disease prevention and management; primary care access; care coordination and case management policy.
 
Feasibility
 
Feasibility: Only one data point under the current PQI-90 definition exists (2017), so no trend fit is possible – the 20% endpoint is a policy choice, not a data-fitted number. It's informed by real precedent, though: AHRQ's own Statistical Brief #195 documented an 18.5% decline in just 7 years (2005-2012) under an earlier, larger version of this composite. Spreading a comparable-magnitude reduction across the full 19-year horizon to 2036 is a conservative ask relative to that historical pace, not an aggressive one. No confirmed national figure exists between 2017 and today despite a dedicated search pass, so the current trajectory is genuinely unknown.
 
Discussion: This row returns to AHRQ's Prevention Quality Indicator (PQI-90), reversing the OECD switch made earlier this year, and splits the Medicare fee-for-service population out to its own row (20) rather than blending it in. The reasoning for the OECD switch at the time was that classic AHRQ PQI-90 data was fragmented with no clean current national figure; further research found that's only half true – HCUP's all-payer data does support a genuine multi-year trend, it just isn't one continuous series. Three different PQI software vintages appear across this row's history, each with a documented reason for the level differences between them, not just an unexplained gap: 2001 and 2009 (from a CDC/AHRQ report on 2001-2009) used a modified version 4.2 of the PQI software, age-sex adjusted to the 2000 U.S. standard population, over an 8-condition scope that still included angina without procedure and dehydration as full components. Interpolating those two points predicts roughly 1,515 for 2005 – a full 28% below Statistical Brief #195's actual confirmed 2005 figure (1,941), confirming the two series aren't on the same scale. For that reason, 2001 and 2009 are shown as Historical context only, not blended into the tracked trend or the target math. Statistical Brief #195 (2005-2012) used PQI software version 4.4 and the 2010 standard population, a single consistent methodology across all six of its points, and is this row's primary trend evidence: 1,941 (2005) falling to 1,582 (2012), an 18.5% decline. Statistical Brief #259 (2017) used the current PQI software (version 2019.01), which retired the dehydration and angina-without-procedure components from the composite in 2016 – part of why its value (1,328.4) sits well below Statistical Brief #195's last point (1,582, 2012) is this narrower definition, not necessarily faster real progress. That 2017 figure is nonetheless the right baseline for this row's target, since it's the definition future actuals will be measured against. A dedicated search for bridging data between 2013 and 2016, and for anything after 2017, found nothing – AHRQ's Statistical Brief series has a real gap there, confirmed by two separate search passes, not an unsearched one.
 
Benefits
 
If Met: Reaching 1,062.7 per 100,000 by 2036 would represent a real, historically-grounded continuation of two decades of progress and meaningful savings in avoidable hospital costs.
 
If Not Met: Progress for the general adult population stalls or reverses, continuing to cost billions in avoidable hospital spending and forgone quality of life that this platform doesn't otherwise measure.
HC-MET-QLT-003: Preventable hospitalizations, general adult population (AHRQ PQI-90)
Current Value: 1,328.4 per 100,000 adults 18+ (2017, current PQI-90 definition) – the most recent confirmed figure; no national data point has been found for any year since
Trend: Historically improving under earlier composite versions (1,941 in 2005 to 1,582 in 2012, an 18.5% decline), but no confirmed data exists to establish the current-definition trajectory past 2017
Metric Evidence:
TypePeriodTargetValueSource
Historical2001---1,635AHRQ/CDC MMWR
Actual2005---1,941HCUP Stat Brief #195
Actual2007---1,814HCUP Stat Brief #195
Actual2008---1,815HCUP Stat Brief #195
Historical2009---1,395AHRQ/CDC MMWR
Actual2010---1,658HCUP Stat Brief #195
Actual2011---1,669HCUP Stat Brief #195
Actual2012---1,582HCUP Stat Brief #195
Actual2017---1,328.4HCUP Stat Brief #259
Projection20261,202.5---VTC Formula
Projection20271,188.6---VTC Formula
Projection20281,174.6---VTC Formula
Projection20291,160.6---VTC Formula
Projection20301,146.6---VTC Formula
Projection20311,132.6---VTC Formula
Projection20321,118.6---VTC Formula
Projection20331,104.7---VTC Formula
Projection20341,090.7---VTC Formula
Projection20351,076.7---VTC Formula
Projection20361,062.7---VTC Formula
Source Location: AHRQ/CDC, "Potentially Preventable Hospitalizations – United States, 2001-2009," MMWR Surveillance Summaries (2001, 2009 figures, shown as Historical); HCUP Statistical Brief #195, "Trends in Potentially Preventable Inpatient Hospital Admissions and Emergency Department Visits" (2005-2012 figures); HCUP Statistical Brief #259, "Characteristics and Costs of Potentially Preventable Inpatient Stays, 2017" (2017 figure, current PQI-90 definition).
Status: Evidence sources and values verified
Interpretation: Lower is better. The 2001 and 2009 figures use a different, older PQI software version than the rest of the series and are not on the same scale – shown as Historical, not blended into the tracked trend or target math. Not directly comparable to Row 20's Medicare fee-for-service figures (different population).
Formula: AHRQ Prevention Quality Indicator 90 (Overall Composite), all-payer hospital discharges per 100,000 adults 18+. Three PQI software vintages appear in this row's history: 2001/2009 used a modified version 4.2 (2000 standard population, includes angina and dehydration as separate components) – kept as Historical context only, since interpolating between these two points predicts roughly 1,515 for 2005, well off Statistical Brief #195's actual confirmed 1,941, confirming the two aren't on the same scale; 2005-2012 (Statistical Brief #195) used version 4.4 (2010 standard population), a single consistent methodology across all six years; 2017 (Statistical Brief #259) used version 2019.01, the current PQI-90 definition (AHRQ retired the dehydration and angina-without-procedure components from the composite in 2016). Glidepath: straight-line interpolation using true elapsed calendar years from the 2017 actual (1,328.4, current definition) to a proposed 1,062.7 endpoint in 2036 (a 20% reduction) – a policy choice, not a statistical trend fit, since only one current-definition data point exists. The 20% figure is informed by, not derived from, Statistical Brief #195's own 18.5% decline over just 7 years (2005-2012) under the older composite: spreading a comparable-magnitude reduction across the full 19-year horizon is a conservative pace relative to that historical precedent, not an aggressive one.
Notes: This row's source changed twice: originally AHRQ PQI (fragmented), switched to OECD's 3-condition composite (July 2026), now returned to AHRQ PQI-90 (this pass), split into two rows by population – see Row 20 (HC-QLT-PHM-001) for the Medicare fee-for-service beneficiary companion metric, which moves in the opposite direction and is not comparable to this row. The OECD composite (733 vs. peer average 473, 2021-2022) is dropped from this row's tracked series but remains factually valid as an international-benchmark view; it's simply a different metric than what's tracked here now. No confirmed national AHRQ PQI-90 figure was found for 2013-2016 or any year after 2017 despite a dedicated search pass – AHRQ's Statistical Brief series has a real gap there, not just an unsearched one.
HC-MAT-MMR-001
 
Requirement: Congress shall enact, fund, and oversee maternal health policies that reduce the U.S. maternal mortality rate from the 2024 final baseline of 17.9 deaths per 100,000 live births to 10.0 by 2036, matching a common peer-country benchmark, and shall reduce the racial disparity ratio between Black non-Hispanic and White non-Hispanic maternal mortality rates from the 2024 baseline of 3.2 to 2.0 by 2036.
 
Legislative Key Phrases: Maternal health policy; postpartum coverage policy; obstetric and maternal care access; maternal health equity reporting.
 
Feasibility
 
Feasibility: The 10.0-by-2036 national-rate endpoint is achievable as a round, defensible benchmark inside the range many OECD countries report, but the trend evidence behind it is thin: only 3 real data points exist, too few for a reliable regression (an attempted fit produced an impossible negative rate by 2034). The companion disparity-ratio target (3.2 to 2.0 by 2036) is more aspirational than feasibility-grounded: the ratio has held close to 3.2 for roughly two decades in published surveillance research, not just this row's 3-year window, and even jurisdictions running active reduction initiatives report the disparity currently widening, not narrowing. This target reflects an equity-priority judgment, not a precedent-backed pace.
 
Discussion: The rate has fallen for two consecutive years (22.3 in 2022, 18.6 in 2023, 17.9 in 2024), though CDC notes the 2023-to-2024 change was not statistically significant. The disparity is the more actionable finding: Black non-Hispanic women die at 3.2 times the rate of White non-Hispanic women (44.8 vs. 14.2 per 100,000 in 2024), a gap that has persisted across all three years. A trend fit was tried and rejected: 3 points is enough to compute a line (R-squared 0.87, deceptively strong-looking), but extrapolating it forward predicts a negative mortality rate by 2034, which is impossible, and CDC's own "not statistically significant" caveat on the latest year-over-year change means the apparent steep decline may partly be noise. Three points is not enough data for a reliable linear-fit Projection the way HC-MET-QLT-001 got one with 10. What's proposed instead is a straight-line glidepath from the 2024 baseline to 10.0 per 100,000 by 2036, a round number inside the range of "under 10 per 100,000" that many OECD countries report.
 
Benefits
 
If Met: Reaching 10.0 by 2036 would represent hundreds of prevented maternal deaths annually; closing the disparity ratio to 2.0 would mean a meaningfully larger share of that improvement reaches Black mothers specifically, not just the national average.
 
If Not Met: The U.S. continues recording maternal mortality at multiples of peer-country rates, with Black women bearing a disproportionate share of that burden – a burden that national-rate progress alone, without the disparity ratio narrowing specifically, would leave largely unchanged.
HC-MET-MAT-001: Maternal mortality rate
Current Value: 17.9 per 100,000 (2024, final)
Trend: -0.7 vs 2023 (not statistically significant) (Improving)
Metric Evidence:
TypePeriodTargetValueSource
Actual2022---22.3CDC/NCHS
Actual2023---18.6CDC/NCHS
Actual2024---17.9CDC/NCHS
Projection202616.58---VTC Formula
Projection202715.92---VTC Formula
Projection202815.27---VTC Formula
Projection202914.61---VTC Formula
Projection203013.95---VTC Formula
Projection203113.29---VTC Formula
Projection203212.63---VTC Formula
Projection203311.97---VTC Formula
Projection203411.32---VTC Formula
Projection203510.66---VTC Formula
Projection203610.00---VTC Formula
Source Location: CDC/NCHS, "Maternal Mortality Rates in the United States", National Vital Statistics System, annual editions.
Status: Evidence sources and values verified
Interpretation: Lower is better for the topline rate; a lower disparity ratio (closer to 1.0) is better for the equity companion metric.
Formula: Maternal deaths per 100,000 live births (WHO definition). Glidepath: straight-line interpolation using true elapsed calendar years from the 2024 baseline (17.9) to a proposed 10.0 endpoint in 2036, not a trend fit (3 data points was judged insufficient for a reliable regression).
Notes: Maternal mortality counts can be statistically unstable year to year. Companion equity figures (2024, CDC/NCHS): Black non-Hispanic 44.8 per 100,000, White non-Hispanic 14.2 – a 3.2x disparity ratio, per the companion-metric language in the requirement text above. The numeric endpoint and annual glidepath are this project's own derivation, reviewed and approved by John.
HC-FWA-IPR-001
 
Requirement: Congress shall enact, fund, and oversee program-integrity policies that hold improper payment rates across Medicare Fee-for-Service, Medicare Part C, Medicare Part D, Medicaid, CHIP, and ACA Advance Premium Tax Credits at or below their FY2024 levels in every fiscal year beginning FY2026, with progress measured annually using CMS's Comprehensive Error Rate Testing program and the HHS Agency Financial Report. All public reporting of this metric shall explicitly state that improper payment measurement is not a fraud measure.
 
Legislative Key Phrases: Program integrity oversight; Medicare and Medicaid payment accuracy; federal health program administration and auditing.
 
Feasibility
 
Feasibility: The target is achievable in the sense that it only asks each program to return to, and hold at, a level already reached as recently as FY2024, not a stretch beyond recent history. Applying it every year starting FY2026, not just at one FY2028 finish line, gives the report card real annual checkpoints instead of a single distant deadline – and shows plainly that 4 of 6 programs are already failing this ceiling on FY2025's actual data, exactly the kind of backslide this near-term ceiling exists to catch early.
 
Discussion: The Medicare FFS improper-payment rate has remained below the statutory 10% compliance threshold for nine consecutive years, and improved further in FY2025 (7.66% to 6.55%), showing the underlying measurement-and-correction process works. Its longer history (the only one of the six programs with a comparable trend back to 2001) shows this is a genuinely volatile metric, not a steadily-improving one: 6.3% (2001) fell to 4.4% (2005), rose to 8.6% (2011), peaked at 12.7% in 2014 (the actual high point of the entire series, not 2016 as an earlier draft of this page stated), fell to 11.0% (2016), then continued down toward today's 6.55%. A linear fit across all 7 verified Medicare FFS points, now including 2014, was tried: it produces an even weaker model than before (R-squared 0.07, down from 0.12 with 6 points) that projects the rate rising toward 9.8% by 2034, essentially ignoring the recent improvement and getting dominated by the mid-series swings instead. That result is a clear signal not to extrapolate a decade-long glidepath on a metric this volatile, unlike HC-MET-QLT-001's much cleaner trend. The other 5 programs have only 2 data points each (FY2024, FY2025), also too few for a meaningful fit, and FY2025 saw 4 of the 6 programs move the wrong direction. Given the volatility, the proposed target is deliberately near-term and conservative rather than an ambitious decade-long stretch: each program holds at or below its FY2024 level every fiscal year starting FY2026, a flat ceiling against further deterioration rather than a bet on a specific long-run trajectory or a false-precision interpolation between two points on a metric that has already reversed direction three times in 25 years. As of FY2025's actual data, 2 of 6 programs (Medicare FFS, ACA APTC) already meet this ceiling and 4 (Part C, Part D, Medicaid, CHIP) do not, giving the report card a real, gradable baseline from the first year this requirement takes effect rather than nothing to check until FY2028. The ACA APTC figure applies specifically to the federally-facilitated exchange and does not necessarily represent every state-based marketplace.
 
Benefits
 
If Met: All six programs holding at or below their FY2024 level every year from FY2026 onward would reverse the FY2025 backslide seen in four of the six programs and demonstrate the volatility can be managed continuously, not just checked once at a distant deadline.
 
If Not Met: Continuing FY2025's mixed pattern leaves Medicaid ($37.39B) and Medicare Part C ($23.67B) as the largest dollar sources of improper payment, both trending worse, and Medicare FFS's own volatile 25-year history offers no guarantee that today's improvement continues rather than reverses as it has three times before (after 2005, after 2011, and after the 2014 peak). With annual checkpoints starting FY2026, a renewed slide would show up immediately rather than waiting until FY2028 to be visible.
HC-MET-ADM-002: Improper payment rate (by program)
Current Value: Mixed across 6 programs (FY2025)
Trend: Mixed by program (4 of 6 worsening)
Metric Evidence:
TypePeriodTargetValueSource
Actual2001 (Medicare FFS)---6.3%HHS-OIG
Actual2005 (Medicare FFS)---4.4%CMS CERT
Actual2011 (Medicare FFS)---8.6%CMS CERT
Actual2014 (Medicare FFS)---12.7% (series high)CMS CERT
Actual2016 (Medicare FFS)---11.0%CMS CERT
ActualFY2024 (ACA APTC, FFE)---1.01% ($562.93M)CMS CERT / HHS AFR
ActualFY2024 (CHIP)---6.11% ($1.07B)CMS CERT / HHS AFR
ActualFY2024 (Medicaid)---5.09% ($31.10B)CMS CERT / HHS AFR
ActualFY2024 (Medicare FFS)---7.66% ($31.70B)CMS CERT / HHS AFR
ActualFY2024 (Medicare Part C)---5.61% ($19.07B)CMS CERT / HHS AFR
ActualFY2024 (Medicare Part D)---3.70% ($3.58B)CMS CERT / HHS AFR
ActualFY2025 (ACA APTC, FFE)---0.89% ($657.46M)CMS CERT / HHS AFR
ActualFY2025 (CHIP)---7.05% ($1.37B)CMS CERT / HHS AFR
ActualFY2025 (Medicaid)---6.12% ($37.39B)CMS CERT / HHS AFR
ActualFY2025 (Medicare FFS)---6.55% ($28.83B)CMS CERT / HHS AFR
ActualFY2025 (Medicare Part C)---6.09% ($23.67B)CMS CERT / HHS AFR
ActualFY2025 (Medicare Part D)---4.00% ($4.23B)CMS CERT / HHS AFR
ProjectionFY2026 (ACA APTC, FFE)1.01%---VTC Formula
ProjectionFY2026 (CHIP)6.11%---VTC Formula
ProjectionFY2026 (Medicaid)5.09%---VTC Formula
ProjectionFY2026 (Medicare FFS)7.66%---VTC Formula
ProjectionFY2026 (Medicare Part C)5.61%---VTC Formula
ProjectionFY2026 (Medicare Part D)3.70%---VTC Formula
ProjectionFY2027 (ACA APTC, FFE)1.01%---VTC Formula
ProjectionFY2027 (CHIP)6.11%---VTC Formula
ProjectionFY2027 (Medicaid)5.09%---VTC Formula
ProjectionFY2027 (Medicare FFS)7.66%---VTC Formula
ProjectionFY2027 (Medicare Part C)5.61%---VTC Formula
ProjectionFY2027 (Medicare Part D)3.70%---VTC Formula
ProjectionFY2028 (ACA APTC, FFE)1.01%---VTC Formula
ProjectionFY2028 (CHIP)6.11%---VTC Formula
ProjectionFY2028 (Medicaid)5.09%---VTC Formula
ProjectionFY2028 (Medicare FFS)7.66%---VTC Formula
ProjectionFY2028 (Medicare Part C)5.61%---VTC Formula
ProjectionFY2028 (Medicare Part D)3.70%---VTC Formula
Source Location: CMS Comprehensive Error Rate Testing (CERT) program; HHS Agency Financial Report, Fiscal Year 2025 Improper Payments Fact Sheet. Historical Medicare FFS figures: HHS-OIG (2001, pre-CERT), GAO-06-300 (2005), CMS CERT annual reports (2011, 2014, 2016).
Status: Evidence sources and values verified
Interpretation: Lower is better, per program. This metric is an integrity/payment-accuracy measure, not a fraud rate.
Formula: CMS CERT statistically sampled claim review, error rate as percent of program payments. The 2001 figure uses pre-CERT HHS-OIG methodology (~6,000 claim sample), smaller than CERT's current ~50,000 claim sample; treat it as directionally, not precisely, comparable to later rows. The 2011 and later Medicare FFS figures are CMS's own adjusted rates, accounting for late appeals and documentation. Target: each program's FY2024 level, used as a near-term ceiling rather than a trend fit.
Notes: Most Medicaid (77%) and CHIP (56%) improper payments in FY2025 stemmed from insufficient documentation, not fraud. The 2005 row is the closest available year to 2006; no FY2006 rate was located in this research pass.
HC-AFF-PMB-001
 
Requirement: Congress shall enact, fund, and oversee health care affordability policies that reduce the share of adults reporting problems paying family medical bills in the past 12 months from the 2025 baseline of 17% to 8% by 2036, with progress measured using the Urban Institute's Health Reform Monitoring Survey / Well-Being and Basic Needs Survey.
 
Legislative Key Phrases: Medical debt protection; consumer financial protection in health care; hospital billing and collections practices.
 
Feasibility
 
Feasibility: Achievability is conditional: the 2021 low (12.2%) shows an 8%-adjacent level is reachable, but the trend since isn't a simple line – it's a U-shape that rose back to roughly 17% by 2025, erasing the pandemic-era improvement entirely. The target treats what was achieved once, temporarily, as evidence of what's possible with the right policy conditions, not as a level currently being approached.
 
Discussion: This metric was added after reviewing whether "medical debt incidence" (HC-MET-AFF-001) is the clearest affordability indicator for public communication. Independent research (verified against the primary sources, not taken on faith from an AI-generated summary) confirmed that Urban Institute, funded by the Robert Wood Johnson Foundation, has run a consistent annual survey since 2013 asking this exact question, giving it a real multi-year trend that medical debt incidence's two SIPP data points can't match. The trend, however, is not simple: problems paying bills fell sharply during the pandemic (17.0% in March 2019 to 12.2% in April 2021, as federal relief and coverage protections took effect) and has since risen back to roughly 17% in 2025, erasing the pandemic-era improvement entirely. A linear fit across these 3 points was tried and rejected (R-squared 0.04, essentially no explanatory power) since a U-shaped recovery-then-relapse pattern can't be captured by a straight line. The proposed target treats 2021's low (12.2%) as evidence that a level near 8% is achievable with the right policy conditions, even though the current trajectory is moving the wrong way. This metric complements rather than duplicates two existing ones: HC-MET-AFF-001 (medical debt already accrued) and HC-MET-AFF-002 (care skipped due to cost); this one captures the acute experience of struggling to pay a bill, a distinct moment in the same financial-strain pathway.
 
Benefits
 
If Met: Reaching 8% by 2036 would mean returning below the pandemic-era low of 12.2% and sustaining it, rather than the current pattern of falling only when extraordinary federal relief is in place.
 
If Not Met: The 2019-2025 round trip (17.0% to 12.2% back to roughly 17%) shows this metric can improve quickly under the right conditions and can just as quickly give that progress back once they end, meaning underlying affordability was never actually fixed, only temporarily masked.
HC-MET-AFF-003: Problems paying family medical bills
Current Value: ~17% (2025)
Trend: Reversed pandemic-era improvement (Worsening since 2021)
Metric Evidence:
TypePeriodTargetValueSource
Actual2019---17.0%Urban Institute HRMS
Actual2021---12.2%Urban Institute HRMS
Actual2025---17%Urban Institute / Robert Wood Johnson Foundation
Projection202616.2%---VTC Formula
Projection202715.4%---VTC Formula
Projection202814.5%---VTC Formula
Projection202913.7%---VTC Formula
Projection203012.9%---VTC Formula
Projection203112.1%---VTC Formula
Projection203211.3%---VTC Formula
Projection203310.5%---VTC Formula
Projection20349.6%---VTC Formula
Projection20358.8%---VTC Formula
Projection20368.0%---VTC Formula
Source Location: Urban Institute Health Reform Monitoring Survey / Well-Being and Basic Needs Survey (funded by the Robert Wood Johnson Foundation), a nationally representative annual survey of nonelderly adults running since 2013, n~7,500-10,000 per round.
Status: Evidence sources and values verified
Interpretation: Lower is better. This is a distinct indicator from medical debt incidence (debt already owed) and delayed/skipped care (care avoided); it captures the moment of financial strain itself.
Formula: Percent of nonelderly adults reporting their family had problems paying medical bills, or was unable to pay them, in the past 12 months. Glidepath: straight-line interpolation from the 2025 baseline to a proposed 8% endpoint in 2036, not a trend fit (R-squared 0.04 on the 3 real points, a U-shaped pattern a line cannot capture).
Notes: Urban Institute's earlier brand name for this survey program was the Health Reform Monitoring Survey (HRMS, launched 2013); more recent rounds are published under the Well-Being and Basic Needs Survey (WBNS) name, same underlying survey infrastructure and sponsor.
HC-ADM-OVH-001
 
Requirement: Congress shall enact, fund, and oversee administrative simplification and insurance oversight policies that hold the combined share of national health expenditures devoted to government program administration and the net cost of private health insurance at or below its 2024 level of 7.0% through 2036.
 
Legislative Key Phrases: Administrative simplification; health insurance regulatory oversight; health care price and cost transparency.
 
Feasibility
 
Feasibility: Achievable only as a genuine corrective target, not a continuation of recent progress: CMS's own category-level NHE data (Health Affairs, June 2025, Exhibit 4) now confirms the combined ratio is projected to rise from 7.36% (2024) to 8.10% (2027) to 8.39% (2033) under current law – the opposite direction from the 2020-2024 decline the Actual data above shows. Holding at 7.0% through 2036 means reversing a confirmed unfavorable trend, not maintaining a favorable one.
 
Discussion: This combined category – CMS's own "Government Administration and Net Cost of Health Insurance" line in the National Health Expenditure Accounts – has been part of the NHEA's standard structure since 1960, so a long historical series exists. But the series is not a steady trend: it rose from 5.9% of NHE in 2000 to a peak of 8.4% in 2020 (likely reflecting pandemic-era insurer administrative costs and public-program surges), then declined for four consecutive years to 7.0% in 2024. A linear regression across the full 2000-2024 span is a poor fit (R-squared 0.33) precisely because of this hump shape, so extrapolating a single trend line across the peak would be misleading. The four-year post-2020 decline (8.4% to 7.0%) is real and recent, but four years is a short base for a decade-long extrapolation, and it is not yet clear whether the improvement will continue, plateau, or reverse.
 
Benefits
 
If Met: Administrative and insurance overhead would be held at the 2024 level even as CMS's own projections point toward a substantially higher share by the early-to-mid 2030s, preserving that difference for direct patient care spending instead.
 
If Not Met: Continuing CMS's own projected trajectory – in which private insurance overhead alone is projected to more than double in dollar terms by 2034, clearly outpacing NHE's own roughly 70% growth over the same decade – would push this ratio meaningfully above its 2024 level, redirecting a rising share of a projected $9 trillion 2034 NHE base toward administration and insurance overhead rather than care delivery.
HC-MET-ADM-004: Administration and insurance overhead (percent of National Health Expenditures)
Current Value: 7.0% (2024)
Trend: -0.5 pp vs 2023 (Improving)
Metric Evidence:
TypePeriodTargetValueSource
Actual2000---5.9%CDC/NCHS
Actual2005---7.5%CDC/NCHS
Actual2010---7.1%CDC/NCHS
Actual2016---7.9%CDC/NCHS
Actual2020---8.4%Peterson-KFF
Actual2023---7.5%Peterson-KFF
Actual2024---7.0%Peterson-KFF
Projection20267.0%---VTC Formula
Projection20277.0%8.10%VTC Formula & CMS NHE
Projection20287.0%---VTC Formula
Projection20297.0%---VTC Formula
Projection20307.0%---VTC Formula
Projection20317.0%---VTC Formula
Projection20327.0%---VTC Formula
Projection20337.0%8.39%VTC Formula & CMS NHE
Projection20347.0%---VTC Formula
Projection20357.0%---VTC Formula
Projection20367.0%---VTC Formula
Source Location: 2000/2005/2010/2016: CDC/NCHS, Health, United States, 2018, Table 42 ("Government administration and net cost of private health insurance," percent of NHE), sourced from CMS's National Health Expenditure Accounts. 2020/2023/2024: Peterson-KFF Health System Tracker, "How has U.S. spending on healthcare changed over time?" (chart: "Health insurance and administrative costs increased for decades but leveled off in recent years"), also sourced from CMS NHE data. Projection-trend finding: Jeff Levin-Scherz, "CMS projects that health care costs will exceed 20% of GDP by 2034" (Employer Coverage newsletter, June 30, 2026), summarizing Fiore JA et al., "National Health Expenditure Projections, 2025-34," Health Affairs, June 20, 2026.
Status: Evidence sources and values verified
Interpretation: Lower is better, with a caveat: reductions should reflect genuine administrative efficiency, not the erosion of necessary functions such as claims processing, fraud prevention, appeals, enrollment services, program integrity, consumer assistance, insurer reserves, or underwriting soundness. This category is not synonymous with waste. See Formula below for exactly what is, and isn't, counted in the numerator and denominator.
Formula: Numerator: government program administration spending (the cost of running Medicare, Medicaid, and CHIP – salaries, claims processing, program integrity, and similar functions) PLUS the net cost of private health insurance (the gap between what private insurers collect in premiums and what they pay out in medical benefits – this covers insurer overhead, marketing, taxes and fees, additions to reserves, and underwriting gains/losses, not administrative processing costs alone). Denominator: total National Health Expenditures – ALL health spending nationally (hospital care, physician and clinical services, prescription drugs, nursing home care, public health activity, investment, and this numerator itself), not spending on direct patient care alone. In plain terms: of every dollar spent on health care and health coverage in the U.S., what share goes to running government health programs and to private insurers' overhead and margin, rather than to medical goods and services – and that denominator already includes the numerator, it is not a separate "cost of care" baseline being compared against. Target: near-term ceiling at the 2024 level (7.0%), not a trend fit – a full-history linear regression is a poor fit (R-squared 0.33) given the 2000-2020 rise and 2020-2024 decline, and CMS's own newer projections point toward renewed growth in this category; see Feasibility.
Notes: This is a narrower, precisely-defined measure than the catalog's separate Administrative Cost Ratio concept (HC-MET-ADM-003), which remains held back pending a real data source because broader administrative-cost estimates (including provider billing/back-office overhead and full private-insurer administrative load) range from roughly 8% to 15-25%+ depending on methodology, with no single agreed figure. This metric is limited to the two NHEA-defined categories CMS itself tracks as a single historical line item, avoiding that definitional dispute – but correspondingly does not capture provider-side administrative/billing costs. A possible NHE-data-vintage revision to the 2016 historical value (7.9% shown here vs. an unconfirmed ~7.8%) was flagged by an uploaded review but could not be independently checked this pass; noted as open, not applied. Supporting/mechanism context, not part of this metric's own trend or target: the CAQH Index, an annual industry benchmark backed by AHIP, AMA, and AHA covering roughly 600 health plans and provider organizations (63% of insured lives), tracks adoption of standardized electronic administrative transactions – eligibility verification, claims, remittance advice, claim status, and prior authorization. Per the 2025 CAQH Index (covering 2024 activity, verified directly against CAQH's own release): claim status inquiries reached 81% electronic adoption and claim payment 78%; electronic prior authorization reached 40%, up from 35% in the 2024 Index; industry-wide, an estimated $258 billion in administrative costs was avoided in 2024 through electronic transactions. Higher transaction-standardization rates are a plausible mechanism for reducing this metric's numerator (insurer and program administrative costs) over time, but the CAQH Index measures process adoption, not this metric's dollar outcome directly – shown here as diagnostic context, not a target input or a substitute outcome measure.
HC-AFF-RXN-001
 
Requirement: Congress shall enact, fund, and oversee prescription drug affordability policies that hold the share of adults aged 18-64 who do not take prescription medication as prescribed due to cost at or below its 2021 level of 8.2% through 2036, with progress measured using NCHS/NHIS survey data.
 
Legislative Key Phrases: Prescription drug affordability; pharmacy benefit and formulary policy; drug pricing and rebate policy.
 
Feasibility
 
Feasibility: Achievable as a near-term ceiling at the already-improved 2021 level (8.2%), not a continued-decline extrapolation: a regression on the comparable points fits well on paper but goes impossible (negative) within a decade, so holding the line, rather than projecting further improvement, is the defensible ask.
 
Discussion: NHIS has asked a version of this question since at least 2011, but NCHS changed the measure's denominator partway through the series: 2011 and 2013 (as originally published) computed the rate as a share of all adults 18-64, including people not on any medication, while starting with a 2019 data brief (covering 2013-2017) NCHS switched to a share of adults who were prescribed medication – a materially smaller, more targeted denominator. NCHS's own recomputation of 2013 on the new basis (14.9%) is nearly double the originally-published all-adults 2013 figure (8.5%), confirming this is a real, large effect and not noise. The 2011 figure (12.6%) was never recomputed on the new basis, so it is shown here as Historical context only, excluded from any trend calculation. On the conditional (comparable) basis, the rate fell from 14.9% in 2013 to 11.1% in 2015, ticked up slightly to 11.4% in 2017, then fell further to 8.2% in 2021 – the most recent year for which NCHS has published this specific measure for adults 18-64 (checked directly against NCHS's data brief index; no newer edition covering this exact composite for this age group has been located). A straight-line regression on these four comparable points fits well on paper (R-squared 0.87), but extrapolating it forward crosses zero by 2030 and goes negative shortly after, which is impossible for a percentage – the same problem this project encountered and rejected for HC-MAT-MMR-001's three-point maternal-mortality series. The proposed target is therefore a near-term ceiling at the 2021 level, not a continued-decline extrapolation.
 
Benefits
 
If Met: Roughly 9.2 million adults reported skipping doses, taking less medication, or delaying a prescription fill due to cost in 2021 (the 8.2% base year, per NCHS's own estimate); holding at or below that level would prevent this from creeping back toward the 11-15% range seen in 2013-2017.
 
If Not Met: A return toward the 2013-2017 range (11-15%) would mean a meaningfully larger share of adults on prescription medication making cost-driven adherence tradeoffs, which the clinical literature links to worse health outcomes and higher downstream emergency and hospital utilization.
HC-MET-AFF-004: Cost-related prescription medication nonadherence
Current Value: 8.2% (2021)
Trend: -3.2 pp vs 2017 (Improving)
Metric Evidence:
TypePeriodTargetValueSource
Historical2011---12.6%NCHS/NHIS
Actual2013---14.9%NCHS/NHIS
Actual2015---11.1%NCHS/NHIS
Actual2017---11.4%NCHS/NHIS
Actual2021---8.2%NCHS/NHIS
Projection20268.2%---VTC Formula
Projection20278.2%---VTC Formula
Projection20288.2%---VTC Formula
Projection20298.2%---VTC Formula
Projection20308.2%---VTC Formula
Projection20318.2%---VTC Formula
Projection20328.2%---VTC Formula
Projection20338.2%---VTC Formula
Projection20348.2%---VTC Formula
Projection20358.2%---VTC Formula
Projection20368.2%---VTC Formula
Source Location: NCHS Data Brief No. 119 (2011 data, "Strategies Used by Adults to Reduce Their Prescription Drug Costs"); NCHS Data Brief No. 333 (2013-2017 data, recomputed conditional basis, "Strategies Used by Adults Aged 18-64 to Reduce Their Prescription Drug Costs, 2017"); NCHS Data Brief No. 470 (2021 data, "Characteristics of Adults Aged 18-64 Who Did Not Take Medication as Prescribed to Reduce Costs").
Status: Evidence sources and values verified
Interpretation: Lower is better. Reflects the share of adults on prescription medication who skipped doses, took less medication, or delayed filling a prescription specifically to save money.
Formula: Percent of adults 18-64 who took/were prescribed prescription medication in the past 12 months and reported at least one of three cost-saving behaviors (skipped doses, took less medication, delayed filling a prescription) in the same period – an NHIS 3-item composite measure. Target: near-term ceiling at the 2021 level (8.2%), not a trend fit – a regression on the four comparable points fits well (R-squared 0.87) but extrapolates to a negative, impossible rate within a decade; see Feasibility.
Notes: The Source Scout's original proposal for this metric cited two figures – 7.1% and 8.2%, both nominally "2021" – that appeared to conflict. They do not: 7.1% is a subgroup breakdown from NCHS Data Brief 470's own Figure 2 (adults without disabilities specifically, versus 20.0% for adults with disabilities), not a competing topline measurement. The correct 2021 topline, used throughout this row, is 8.2%. Separately, "took medication" (2021 wording, Data Brief 470) and "were prescribed medication" (2013-2017 wording, Data Brief 333) are closely related but not perfectly identical filters; treat the 2013-2021 series as closely comparable rather than perfectly continuous.
HC-AFF-OOP-001
 
Requirement: Congress shall enact, fund, and oversee health care affordability policies that hold out-of-pocket health spending per person to no more than the Federal Reserve's 2.0% long-run inflation target from the 2024 baseline of $1,632, reaching no more than $1,989 by 2034.
 
Legislative Key Phrases: Cost-sharing policy (deductibles and copayments); out-of-pocket maximum policy; health care affordability.
 
Feasibility
 
Feasibility: Feasibility rests on the same logic as HC-FIN-PCP-001 (already locked): capping growth at the Federal Reserve's 2.0% long-run inflation target rather than extrapolating history. Out-of-pocket spending has risen every measured year on record with no exception, so this target is a real reversal of pattern, not a continuation of any existing trajectory, and it isn't confirmed as achievable by any external projection.
 
Discussion: Out-of-pocket spending per person has risen every measured year on record, from $115 in 1970 to $1,632 in 2024 (nominal dollars). The 2000-2016 figures in the evidence table are this project's own calculation: total out-of-pocket spending (CDC/NCHS, sourced from CMS's National Health Expenditure Accounts) divided by the Census Bureau's resident population estimate for the same year. The 2023 and 2024 figures are not derived – they are Peterson-KFF Health System Tracker's own directly-reported per-capita figures, cross-checked against $556.6 billion total 2024 out-of-pocket spending (CMS NHE Fact Sheet) divided by an approximate 2024 population of 340 million, which lands within rounding of the reported $1,632. A linear regression across all six points fits well (R-squared 0.94) and projects roughly $1,898 by 2034 – but a raw continuation of the historical trend is not a meaningful target, since nominal dollar spending mechanically rises with general inflation and health care utilization even absent any change in underlying affordability. This project used the same reasoning for HC-FIN-PCP-001 (per-capita health spending overall): rather than extrapolate the trend, cap growth at the Federal Reserve's 2.0% long-run inflation target, which is a genuine constraint given the historical nominal growth rate (about 3.6% per year, compounded, 2000-2024) has run meaningfully faster than general inflation.
 
Benefits
 
If Met: Real (inflation-adjusted) out-of-pocket burden per person would stop rising, holding steady from the 2024 level rather than continuing to outpace general prices.
 
If Not Met: Continuing the 2000-2024 nominal pace (about 3.6% per year, compounded) would push out-of-pocket spending per person toward roughly $2,324 by 2034 – a real (inflation-adjusted) increase on top of the already-elevated 2024 level, not merely a nominal one.
HC-MET-FIN-004: Out-of-pocket health spending per person
Current Value: $1,632 (2024)
Trend: +$118 vs 2023 (Worsening)
Metric Evidence:
TypePeriodTargetValueSource
Actual2000---$705CDC/NCHS + Census
Actual2006---$917CDC/NCHS + Census
Actual2011---$995CDC/NCHS + Census
Actual2016---$1,091CDC/NCHS + Census
Actual2023---$1,514KFF
Actual2024---$1,632Peterson-KFF
Projection2025$1,665---VTC Formula
Projection2026$1,698---VTC Formula
Projection2027$1,732---VTC Formula
Projection2028$1,767---VTC Formula
Projection2029$1,802---VTC Formula
Projection2030$1,838---VTC Formula
Projection2031$1,875---VTC Formula
Projection2032$1,912---VTC Formula
Projection2033$1,950---VTC Formula
Projection2034$1,989---VTC Formula
Source Location: Out-of-pocket totals: CDC/NCHS, Health, United States, 2017, Table 95 and Figure 17 data table ("Personal health care expenditures, by source of funds"), sourced from CMS's National Health Expenditure Accounts. Population: U.S. Census Bureau intercensal/postcensal resident population estimates (2000: 282.2 million; 2006: 298.0 million; 2011: 311 million); the 2016 population figure (approximately 323.1 million) is a widely-published Census Bureau Vintage 2016 estimate, not independently re-verified against the exact Census table to the decimal this pass – flagged as a lower-confidence figure among the four calculated points. 2023: KFF, "Health Care Costs and Affordability" (Health Policy 101). 2024: Peterson-KFF Health System Tracker, "How has U.S. spending on healthcare changed over time?"
Status: Evidence sources and values verified
Interpretation: Lower is better. Reflects average annual health care spending paid directly by individuals (deductibles, copayments, coinsurance, and care not covered by insurance), not including insurance premiums.
Formula: Total national out-of-pocket health spending divided by U.S. resident population for the same year. Glidepath: compounding at the Federal Reserve's 2.0% long-run inflation target from the 2024 baseline ($1,632), not a trend fit – see Feasibility for why the raw historical trend (R-squared 0.94, projecting ~$1,898 by 2034) was judged not to be a meaningful target on its own.
Notes: This figure does not include health insurance premiums, so it understates total household health-cost burden; it is a proxy for point-of-care financial exposure specifically, consistent with how CMS and KFF define out-of-pocket spending.
HC-COV-UND-001
 
Requirement: Congress shall enact, fund, and oversee health insurance design policies that hold the share of working-age adults who are insured all year but underinsured – meaning their out-of-pocket costs or deductible are high relative to their income – at or below its 2024 level of 23% through 2036.
 
Legislative Key Phrases: Underinsurance and minimum coverage standards; cost-sharing policy (deductibles and copayments); health insurance market regulation.
 
Feasibility
 
Feasibility: Achievability is genuinely uncertain: the underlying series is volatile (12% to a 28% peak and back), not trending, so the proposed target is a near-term ceiling at the 2024 level rather than a projected trajectory. A 2022 sampling-method change also means the two most recent readings aren't strictly comparable to the 2003-2020 series, adding real measurement uncertainty on top of the volatility.
 
Discussion: The Commonwealth Fund's Biennial Health Insurance Survey has tracked underinsurance among adults 19-64 since 2003, using a consistent definition: insured all year but out-of-pocket costs (excluding premiums) at or above 10% of household income, or at or above 5% for households under 200% of the federal poverty level, or a deductible at or above 5% of household income. This is a respected, independent, nationally-representative survey, not an official federal statistical source, and it is fielded roughly every two years, not annually – so this row cannot follow the same 2001/2006/2011/2016/2021 pattern used elsewhere on this page, and no year has data for every even year. The rate rose sharply from 12% in 2003 (when the measure was first introduced) to 22% in 2010, then stayed roughly flat through 2014 (23%) before spiking to a peak of 28% in 2016, falling back to 21.3% by 2018-2020, then rising again to 23% in 2022 and 2024. That is a genuinely volatile series, not a clean trend – a full-history linear regression was not attempted given this shape (the admin-ratio row on this page rejected a much better-behaved series, R-squared 0.33, for the same reason). Two data-quality notes carry forward from the primary source itself: the 2018 estimate was originally published as 22.6% but was revised to 21.3% in 2020 after the Fund discovered a coding error in how income was recoded during 2018 questionnaire development; the revised figure is used here. Separately, the Fund switched its sampling method in 2022 (from phone random-digit-dial to an address-based/panel/cell-phone design) and changed some measures again in 2024, and its own 2024 report states it "does not report trends" for that reason – the 2022 and 2024 figures shown here are on a different sampling basis than 2003-2020, though the level does not show an obvious discontinuity at that transition. Given the volatility and the sampling-method change, the proposed target is a near-term ceiling at the 2024 level, not a projected trajectory.
 
Benefits
 
If Met: Underinsurance would be held at roughly 1 in 4 working-age adults with continuous coverage rather than climbing back toward the 2016 peak (28%, roughly 1 in 3.5), a level the Fund's own reporting links to sharply higher rates of medical debt and forgone care.
 
If Not Met: A return toward the 2016 peak would mean several million more continuously-insured working-age adults facing out-of-pocket costs or deductibles high enough, relative to income, to functionally erode the financial protection their coverage is supposed to provide.
HC-MET-COV-003: Underinsured rate (working-age adults, insured all year)
Current Value: 23% (2024)
Trend: Not assessable vs 2022 (sampling-method change)
Metric Evidence:
TypePeriodTargetValueSource
Actual2003---12%Commonwealth Fund
Actual2010---22%Commonwealth Fund
Actual2014---23%Commonwealth Fund
Actual2016---28% (peak)Commonwealth Fund
Actual2018---21.3% (revised)Commonwealth Fund
Actual2020---21.3%Commonwealth Fund
Actual2022---23%Commonwealth Fund
Actual2024---23%Commonwealth Fund
Projection202623%---VTC Formula
Projection202723%---VTC Formula
Projection202823%---VTC Formula
Projection202923%---VTC Formula
Projection203023%---VTC Formula
Projection203123%---VTC Formula
Projection203223%---VTC Formula
Projection203323%---VTC Formula
Projection203423%---VTC Formula
Projection203523%---VTC Formula
Projection203623%---VTC Formula
Source Location: Commonwealth Fund Biennial Health Insurance Survey, individual survey-year reports and press releases (2003, 2010, 2014, 2016, 2018/2020 revision, 2022, 2024 editions), cited individually per row above.
Status: Evidence sources and values verified
Interpretation: Lower is better. Measures financial protection adequacy among people who have continuous health insurance, not coverage itself – a companion measure to the uninsured-rate metrics elsewhere on this page (HC-COV-INS-001, HC-COV-UNI-001), capturing people who technically have insurance but whose coverage doesn't protect them from high costs.
Formula: Percent of adults 19-64 who were insured for the full prior year and met at least one Commonwealth Fund underinsurance threshold (out-of-pocket costs at or above 10% of income, or 5% if under 200% of poverty; or deductible at or above 5% of income). Target: near-term ceiling at the 2024 level (23%), not a trend fit – the series is too volatile (12% to a 28% peak and back) for a defensible regression.
Notes: The Commonwealth Fund is a respected, independent nonprofit research source, not an official federal statistical agency – flagged for awareness, not as a disqualifying issue, consistent with how this row's evidence table cites it directly rather than through a federal intermediary. No independent 2026-2036 projection exists for this measure; all Projection rows are this project's own flat ceiling, not a third-party forecast.
HC-ACC-TAR-001
 
Requirement: Congress shall enact, fund, and oversee primary care access policies that hold the share of adults who, among those who made a routine-care appointment in the past 12 months, sometimes or never got that appointment as soon as they needed it at or below its most recently confirmed level of 14% through 2036.
 
Legislative Key Phrases: Primary care workforce policy; network adequacy standards; primary care access and capacity.
 
Feasibility
 
Feasibility: Achievability is now provisionally assessable rather than fully unknown: a follow-up search found the same measure reported for 2017 (national total 16.4%, higher than this row's 14% baseline), but different NHQDR chartbook editions report meaningfully different values for overlapping years and subgroups, so no single, confidently-current national topline could be confirmed this pass. Locking the provisional 14% ceiling now, flagged clearly for revisit once a single authoritative figure is pulled directly from AHRQ's primary data tables, follows the user's own instruction rather than waiting indefinitely for data that may not resolve cleanly.
 
Discussion: This replaces the originally-held "Appointment Wait Time" concept (average days until the next available primary-care appointment), for which no reliable annual national federal source could be found – commercial wait-time surveys exist but cover selected cities, specialties, or provider samples, not a controlled national series. AHRQ's Medical Expenditure Panel Survey (MEPS) does field a comparable question nationally, using CAHPS-derived items, and the National Healthcare Quality and Disparities Report (NHQDR) tracks it as an official access-to-care measure: the percent of adults who had a routine-care appointment in the past 12 months who "sometimes" or "never" (versus "usually" or "always") got that appointment as soon as they needed it. NHQDR's own reporting gives a clean national figure for this exact measure in 2016 (14%), with an explicit note that "for this measure, lower rates are better" – this is the only year this pass could confirm using precisely that question wording and response-category cut. Two earlier MEPS Statistical Briefs report related but not clearly identical figures for 2007 (42.5% of adults who made an appointment said they "always" got it as soon as wanted) and 2011 (52.7% "received routine care appointments as soon as they thought they needed them") – both use a favorable framing, but it isn't clear from the published briefs alone whether "as soon as they thought they needed them" in the 2011 brief means "always" specifically or a broader "always or usually" cut, so these two points are shown as Historical context rather than folded into a trend with 2016. This pass could not locate a confirmed national topline for this exact NHQDR measure more recent than 2016 – consistent with the held-back review's own warning that MEPS has a real publication lag and that exact current values need to be pulled from AHRQ's summary tables or public-use files directly, which this pass did not have access to. That means the "Current Value" below is roughly a decade old, and the target proposed here should be treated as provisional until a more recent figure can be confirmed.
 
Benefits
 
If Met: Confirms patients are not waiting longer than they themselves consider acceptable for routine, non-urgent care at a rate any worse than the last confirmed national baseline – though "met" against decade-old data is a weak claim until this pass's data gap is closed.
 
If Not Met: A rising share of adults reporting they sometimes or never get routine appointments as soon as needed would point to a primary-care access or capacity problem – a concern independently consistent with widely-reported primary-care workforce shortages, though this row does not itself measure workforce capacity (see HC-ACC-PCP-001 for the primary-care shortage metric).
HC-MET-ACC-003: Adults not getting routine-care appointments as soon as needed
Current Value: 14% (2016 – stale, see Feasibility)
Trend: Not assessable (insufficient comparable data)
Metric Evidence:
TypePeriodTargetValueSource
Historical2007 (favorable cut)---42.5% always got itAHRQ/MEPS
Historical2011 (favorable cut)---52.7% got it as neededAHRQ/MEPS
Actual2016---14%AHRQ/NHQDR
Projection202614%---VTC Formula
Projection202714%---VTC Formula
Projection202814%---VTC Formula
Projection202914%---VTC Formula
Projection203014%---VTC Formula
Projection203114%---VTC Formula
Projection203214%---VTC Formula
Projection203314%---VTC Formula
Projection203414%---VTC Formula
Projection203514%---VTC Formula
Projection203614%---VTC Formula
Source Location: 2007/2011: AHRQ MEPS Statistical Briefs #284 and #462. 2016: AHRQ National Healthcare Quality and Disparities Report (NHQDR) chartbook, "routine care as soon as needed" access-to-care measure, sourced from MEPS Self-Administered Questionnaire data 2002-2016.
Status: Evidence sources and values verified
Interpretation: Lower is better. Measures patient-reported timeliness for routine (non-urgent) care specifically, distinct from HC-ACC-PCP-001 (primary care shortage / percent of need met, a provider-capacity measure) and from NHQDR's separate "care right away" measure, which covers urgent care.
Formula: Among adults 18+ who had at least one appointment for routine health care in the past 12 months, the percent who answered "sometimes" or "never" (rather than "usually" or "always") to whether they got that appointment as soon as they wanted. Target: flat near-term ceiling at the last confirmed level (14%), not a trend fit – there is only one data point in this exact framing, too thin for any regression.
Notes: The 2007 and 2011 figures are shown as Historical context, not Actual, because their published wording ("always got it" in 2007; an unclear "always" vs. "always or usually" cut in 2011) cannot be confirmed as the same response-category cut as 2016's "sometimes or never." They are directionally consistent with improvement over time (roughly 57.5% unfavorable in 2007 implied, falling toward 14% by 2016) but are not used for trend or target math. This is one of the thinnest evidence bases on this page; unlike other Target Pending rows, the concern here isn't the target's ambition but whether the underlying Current Value is still accurate a decade later.
HC-QLT-PHM-001
 
Requirement: Congress shall enact, fund, and oversee preventive and chronic-disease-management policies, with particular attention to care coordination for Medicare beneficiaries, that hold U.S. preventable hospitalizations among Medicare fee-for-service beneficiaries (AHRQ PQI-90) at or below the 2023 level of 2,768 per 100,000 in every year from 2026 through 2036, with progress measured annually using CMS's Mapping Medicare Disparities Tool. See Row 11 (HC-QLT-PHO-001) for the companion general-adult-population requirement.
 
Legislative Key Phrases: Medicare beneficiary chronic care management; care coordination and case management policy; primary care access for older adults.
 
Feasibility
 
Feasibility: This ceiling is deliberately conservative, not aspirational. Only two confirmed years exist (2021: 2,681; 2023: 2,768), both showing the rate rising (about +1.6%/yr), so asking for improvement isn't yet evidence-backed the way most rows on this page are, so we hold the line at the worst confirmed point. As more years of CMS's annually-published data accumulate, this target should be revisited – a real downward-trend target likely becomes possible within a few years.
 
Discussion: This row splits out from Row 11 (HC-QLT-PHO-001, the general adult population), which this session found cannot be reduced to a genuine Medicare/non-Medicare split by subtraction: HCUP's own methodology documentation states that population-based rates aren't reported by expected payer nationally, because no population denominator by payer currently exists that matches HCUP's definition, and Row 11's all-adult figure already includes Medicare beneficiaries within it rather than excluding them. Tracking Medicare separately captures a real and currently-worsening disparity instead: Medicare fee-for-service beneficiaries are hospitalized for preventable conditions at roughly double the general adult rate (2,768 vs. 1,328.4 per 100,000 – different populations, not directly comparable, but illustrative of scale), and nationally, adults 65 and older have a preventable-hospitalization rate more than 12 times that of adults 18-44. Two data points is thin, but both are independently verified against primary sources this pass: the 2021 figure directly against America's Health Rankings' own 2023 Annual Report PDF, not a secondary write-up, and the 2023 figure directly against AHR's live measure page. One definitional break is worth flagging for anyone extending this series later: it switched source and denominator in 2019, from the Dartmouth Atlas of Health Care (per-1,000 beneficiaries) to CMS's Mapping Medicare Disparities Tool (per-100,000) – nothing published before that switch should be spliced in.
 
Benefits
 
If Met: Holding at or below 2,768 every year from 2026 would reverse the recent uptick for a population already bearing a disproportionate share of preventable hospitalizations, and preserve the Medicare program savings that come with fewer avoidable admissions.
 
If Not Met: The gap between Medicare beneficiaries and the general adult population continues widening, and Medicare program costs from avoidable hospitalizations continue rising rather than stabilizing.
HC-MET-QLT-004: Preventable hospitalizations, Medicare fee-for-service beneficiaries (AHRQ PQI-90)
Current Value: 2,768 per 100,000 Medicare FFS beneficiaries 18+ (2023, most recent confirmed)
Trend: Worsening (+1.6%/yr, 2021 (2,681) to 2023 (2,768))
Metric Evidence:
TypePeriodTargetValueSource
Actual2021---2,681AHR 2023 Annual Report
Actual2023---2,768AHR (live)
Projection20262,768---VTC Formula
Projection20272,768---VTC Formula
Projection20282,768---VTC Formula
Projection20292,768---VTC Formula
Projection20302,768---VTC Formula
Projection20312,768---VTC Formula
Projection20322,768---VTC Formula
Projection20332,768---VTC Formula
Projection20342,768---VTC Formula
Projection20352,768---VTC Formula
Projection20362,768---VTC Formula
Source Location: U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services, Office of Minority Health, Mapping Medicare Disparities Tool, as published in America's Health Rankings' 2023 Annual Report (2021 data, confirmed directly against the report PDF) and AHR's live "Preventable Hospitalizations" measure page (2023 data).
Status: Evidence sources and values verified
Interpretation: Lower is better. Not directly comparable to Row 11's all-adult figure – different population (Medicare FFS beneficiaries specifically, which skews older and sicker) and not derivable from it by subtraction.
Formula: AHRQ Prevention Quality Indicator 90 (Overall Composite), discharges per 100,000 Medicare fee-for-service beneficiaries age 18+. Glidepath: flat ceiling at 2,768 (the higher, more recent of the two confirmed years) every year from 2026 through 2036 – guards against further backsliding rather than assuming an improvement pace unsupported by only two data points.
Notes: New row this session, split out from Row 11 (HC-QLT-PHO-001) – see that row's Discussion for the full reasoning. A pre-2019 Medicare-specific series exists (Dartmouth Atlas of Health Care, per-1,000 beneficiaries) but uses a different source and denominator; not spliced into this series.

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