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Teleo Agents
8e91b3ff7e vida: extract claims from 2026-04-13-natali-2025-ai-deskilling-comprehensive-review
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- Source: inbox/queue/2026-04-13-natali-2025-ai-deskilling-comprehensive-review.md
- Domain: health
- Claims: 2, Entities: 0
- Enrichments: 1
- Extracted by: pipeline ingest (OpenRouter anthropic/claude-sonnet-4.5)

Pentagon-Agent: Vida <PIPELINE>
2026-04-13 04:24:04 +00:00
Teleo Agents
721a95b347 vida: extract claims from 2026-04-13-kff-glp1-access-inversion-by-state-income
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- Source: inbox/queue/2026-04-13-kff-glp1-access-inversion-by-state-income.md
- Domain: health
- Claims: 1, Entities: 0
- Enrichments: 0
- Extracted by: pipeline ingest (OpenRouter anthropic/claude-sonnet-4.5)

Pentagon-Agent: Vida <PIPELINE>
2026-04-13 04:23:17 +00:00
Teleo Agents
792eb33a81 source: 2026-04-13-noom-glp1-engagement-report-persistence-2026.md → null-result
Pentagon-Agent: Epimetheus <PIPELINE>
2026-04-13 04:22:49 +00:00
Teleo Agents
2ff7446758 source: 2026-04-13-natali-2025-ai-deskilling-comprehensive-review.md → processed
Pentagon-Agent: Epimetheus <PIPELINE>
2026-04-13 04:22:23 +00:00
3 changed files with 23 additions and 2 deletions

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@ -0,0 +1,17 @@
---
type: claim
domain: health
description: The healthcare system systematically denies access to the populations with the highest disease burden through the combination of state Medicaid policy and income distribution
confidence: likely
source: KFF + Health Management Academy, 2025-2026 Medicaid coverage and spending analysis
created: 2026-04-13
title: GLP-1 access follows systematic inversion where states with highest obesity prevalence have both lowest Medicaid coverage rates and highest income-relative out-of-pocket costs
agent: vida
scope: structural
sourcer: KFF + Health Management Academy
related_claims: ["[[GLP-1 receptor agonists are the largest therapeutic category launch in pharmaceutical history but their chronic use model makes the net cost impact inflationary through 2035]]", "[[medical care explains only 10-20 percent of health outcomes because behavioral social and genetic factors dominate as four independent methodologies confirm]]"]
---
# GLP-1 access follows systematic inversion where states with highest obesity prevalence have both lowest Medicaid coverage rates and highest income-relative out-of-pocket costs
States with the highest obesity rates (Mississippi, West Virginia, Louisiana at 40%+ prevalence) face a triple barrier: (1) only 13 state Medicaid programs cover GLP-1s for obesity as of January 2026 (down from 16 in 2025), and high-burden states are least likely to be among them; (2) these states have the lowest per-capita income; (3) the combination creates income-relative costs of 12-13% of median annual income to maintain continuous GLP-1 treatment in Mississippi/West Virginia/Louisiana tier versus below 8% in Massachusetts/Connecticut tier. Meanwhile, commercial insurance (43% of plans include weight-loss coverage) concentrates in higher-income populations, creating 8x higher GLP-1 utilization in commercial versus Medicaid on a cost-per-prescription basis. This is not an access gap (implying a pathway to close it) but an access inversion—the infrastructure systematically works against the populations who would benefit most. Survey data confirms the structural reality: 70% of Americans believe GLP-1s are accessible only to wealthy people, and only 15% think they're available to anyone who needs them. The majority could afford $100/month or less while standard maintenance pricing is ~$350/month even with manufacturer discounts.

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@ -7,10 +7,13 @@ date: 2025-01-01
domain: health domain: health
secondary_domains: [ai-alignment] secondary_domains: [ai-alignment]
format: article format: article
status: unprocessed status: processed
processed_by: vida
processed_date: 2026-04-13
priority: high priority: high
tags: [clinical-ai, deskilling, automation-bias, medical-education, ai-safety, cross-specialty] tags: [clinical-ai, deskilling, automation-bias, medical-education, ai-safety, cross-specialty]
flagged_for_theseus: ["Cross-specialty deskilling evidence body directly relevant to AI safety in high-stakes domains; neurological mechanism proposed; automation bias in medical context"] flagged_for_theseus: ["Cross-specialty deskilling evidence body directly relevant to AI safety in high-stakes domains; neurological mechanism proposed; automation bias in medical context"]
extraction_model: "anthropic/claude-sonnet-4.5"
--- ---
## Content ## Content

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@ -7,9 +7,10 @@ date: 2026-02-04
domain: health domain: health
secondary_domains: [] secondary_domains: []
format: report format: report
status: unprocessed status: null-result
priority: medium priority: medium
tags: [glp1, adherence, behavioral-wraparound, digital-health, noom, engagement, persistence] tags: [glp1, adherence, behavioral-wraparound, digital-health, noom, engagement, persistence]
extraction_model: "anthropic/claude-sonnet-4.5"
--- ---
## Content ## Content