Content Arsenal · part: executive_brief
# The Youth Mental Health Access Gap Is Structurally More Severe Than the Adult Gap — Executive Brief

**A Trellison Institute Working Paper — Executive Brief**
*May 2026 · 2-page summary of `mh_gap_youth_v1_article.md`*

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## The finding

We applied the Need-vs-Access Framework v1 to the under-18 population by joining the CDC Youth Risk Behavior Surveillance System (YRBSS) 2023 with the CMS National Provider Identifier registry filtered to eight youth-serving mental-health taxonomies, the ACS state-level under-18 population, and the ACS state-level under-19 uninsured rate. The framework runs at state geography (YRBSS does not publish at sub-state resolution) with a single national OLS regression replacing the within-state OLS used at the tract level in the adult study.

**The youth gap is structurally more severe than the adult gap and wider across states.**

| Metric | Youth (under 18) | Adult (18+) | Ratio |
|---|---:|---:|---:|
| Pop-weighted prevalence (sustained distress) | **39.4%** | 16.8% | **2.4×** |
| Estimated population in distress | ~16.5M | ~41.1M | 0.40× |
| State-level provider density range | **~85×** (CT 500 / PR 5.8 per 100K) | ~10× | **~8×** |
| Outlier classification at ±1.5σ | 3 positive, 2 negative of 35 states | 4.6% positive / 6.4% negative of 78,815 tracts | n/a |

The youth measurement uses a different instrument (YRBSS vs BRFSS) and a different reference period (12 months vs 30 days), but the substantive intent is the same: measuring sustained distress.

## Top positive outliers (gap worse than uninsured rate predicts)

| State | z | Need % | Uninsured % | Provider density |
|---|---:|---:|---:|---:|
| Puerto Rico | +2.39 | 39.2 | 2.5 | 5.8 / 100K |
| North Carolina | +1.81 | 39.1 | 4.2 | 9.1 / 100K |
| New Jersey | +1.53 | 36.3 | 2.6 | 17.9 / 100K |

These three states share a single structural pattern: **youth-serving provider workforce under-investment not explained by insurance coverage**. Puerto Rico is the extreme case (post-Maria workforce migration). North Carolina and New Jersey have strong adult mental-health workforces but have not extended that capacity to under-18-specific services proportionally.

## Top negative outliers (gap better than uninsured rate predicts)

| State | z | Need % | Provider density |
|---|---:|---:|---:|
| Vermont | -1.70 | 29.3 | 1,059 / 100K |
| Alaska | -1.69 | 43.2 | 1,085 / 100K |

Two distinct policy stacks close the gap:

1. **Vermont**: UVM Medical Center pediatric behavioral-health + state Medicaid expansion + Designated Agency system mandating community mental-health capacity.
2. **Alaska**: Indian Health Service + state-employed village-based mental-health workforce + federal Title V MCH grants.

Both are **policy-driven, not market-driven** — neither pattern emerges from the private youth-serving market without sustained federal or state investment.

## Why this matters

The adult MH Gap V1 paper identified a two-problem split: geographic gap (6.3M) vs capacity gap (238M). At state-level for youth, the equivalent finding is structurally different: **the supply distribution across states is the dominant driver**, and it is approximately three times wider than the comparable adult range. The 85× range in youth-serving provider density makes state policy choice the binding constraint on the youth access gap.

The framework's value here is the residual analysis: it lets us distinguish states where the gap reflects insurance-coverage limitations alone (those on the regression line) from states where structural workforce under-investment makes the gap worse than coverage predicts (PR, NC, NJ) — and states where workforce build-out closes the gap below what coverage predicts (VT, AK).

## Policy implications

- For **PR, NC, NJ, and other workforce-undersupplied states**: BHWET workforce expansion with youth-specific tracks, CCBHC payment-model rollout with youth-serving CCBHC certification, Title V MCH block grant youth mental-health line, and (for PR specifically) federal Medicaid parity + IHS-style federal direct-employment of mental-health workforce.
- For **all states**: MHPAEA parity-law enforcement on commercial youth mental-health benefits; 988 + 911 youth-specific crisis-response co-located funding; state-level network adequacy enforcement specific to under-18 panels.
- For **states modeling Vermont's success**: state-mandated community-mental-health capacity (Designated Agency or equivalent statute) with Medicaid expansion as the financing layer.
- For **states modeling Alaska's success**: leverage federal IHS + tribal health organization infrastructure where relevant (any state with significant Indigenous population qualifies).

## Method, in one paragraph

State-level need from CDC YRBSS 2023 (peer-reviewed surveillance survey, high-school students grades 9-12, biennial). State-level provider supply from CMS NPPES (May 2026) across 8 youth-serving mental-health taxonomies (narrow + broad). State-level under-18 population from ACS 1-year 2023 (B09001). State-level under-19 uninsured rate from ACS 1-year 2023 (S2701). Gap ratio = (need × 1000) / state-supply per 100K. National OLS residual regression with z-score classification at ±1.5σ. Population-weighted dartboard sampling stratified by residual class. Full reproducibility package, including the parameterized `atlas.need_vs_access_framework_v1` v1.1.0 tool, in supplementary materials.

## What's next

The Need-vs-Access Framework v1.1 added state-geography support and `regression_grouping="national"` to enable this analysis. The same framework is queued against eleven other access domains: poverty safety-net, English-language acquisition, jobs vs job seekers, postsecondary access, library access, police per capita, maternal care, dental care, broadband, oncology, and crisis response. Each domain swap is a data-input change; the framework code is unchanged.

The youth analysis is the framework's second published showcase. The first was the adult tract-level Mental Health Access Gap V1 (May 2026).

## Reference

Full working paper: `docs/mh_gap_youth_v1_article.md` (~3,800 words, 7 sections + supplementary).
Dataset: `analysis_outputs.mh_gap_youth_v1_state_v1` (35 states); supplementary CSV at `s3://daedarch-public-media/youth_mental_health_gap/dataset_v1/mh_gap_youth_state_v1.csv`.
Hub: https://trellison.com/research/youth-mental-health-supply-demand-gap (under construction).

**Methodology rating**: Trellison Institute, pending review.
**Evidence chain certificate**: LedgerWell, pending.
**Working paper version**: v1.0 draft.