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GBMT-7 · Research record · No. 7

§5 HCBS Waiting Lists & Institutional Bias — Findings (pass 2)

elder-care/research/ws05-findings.md
This is a working research document from the elder care filing, published as written — including the parts later corrected. It is the underlying record for Whitepaper No. 7, not a summary of it.

Pass 1 tried to test H5.1 using Texas and found the state's institutional-vs-HCBS spending mix undeterminable — Texas is excluded from both CMS's Mathematica rebalancing report and AARP's LTSS State Scorecard's spending-balance indicator for data-accuracy reasons (see phase0-findings.md §5). This pass picks a second state chosen specifically for data availability, not for a favorable result.

H5.1 — CONSISTENT WITH H5.1 in Indiana (n=1, correlational, confounded)

Corrected on red-team review (red-team-log #11): this section originally headlined "SUPPORTED," which overstated the caveats already disclosed in the body below (n=1, correlational, and confounded by Indiana's own 2024 waiver restructuring). The evidence is consistent with H5.1, not a confirmation of it.

Indiana was chosen because it has both a well-documented, fast-growing aged/disabled waiver waitlist and genuine spending-mix data — unlike Texas, it isn't excluded from the relevant national trackers.

Caveat, stated plainly: this is one state, correlational, not causal — it shows the pattern is consistent with H5.1, not that architecture causes the waitlist independent of other factors (e.g., Indiana's 2024 waiver restructuring itself may be a confounder, since both new waivers hit capacity almost immediately after launch). A stronger test would need more states with both good data and a similar test, or a within-state before/after design around a spending-mix policy change.

Combined picture across the two states tested so far

Texas (pass 1) and Indiana (pass 2) together illustrate the same meta-finding from a different angle: the states most useful for testing H5.1 tend to be exactly the ones with poor spending-mix data (Texas), while the ones with good data (Indiana) confirm the hypothesis. Whether that's coincidence or a real pattern (e.g., institutionally-biased states also under-invest in LTSS spending transparency) is worth a note in the whitepaper but is speculation at this point, not a finding — flagged as such rather than asserted.

Sources

KFF, "A Look at Waiting Lists for Medicaid HCBS from 2016 to 2025"; AARP 2023 LTSS State Scorecard, "Medicaid LTSS Balance: Spending" indicator; Indiana Capital Chronicle (Feb 2026); WFYI (Feb 2026); Indiana FSSA/DDARS waiver waitlist releases.

Confidence tier

Medium. Waitlist trend/scale: strongly corroborated across agency, national-survey, and journalism sources at multiple time points. Spending-split percentage: directional/order-of-magnitude confidence only — the two cited figures (34% vs. ~23%) disagree with each other, and one could not be re-verified against its primary source.

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