vida: extract claims from 2026-04-21-who-glp1-obesity-guideline-december-2025

- Source: inbox/queue/2026-04-21-who-glp1-obesity-guideline-december-2025.md
- Domain: health
- Claims: 1, Entities: 0
- Enrichments: 3
- Extracted by: pipeline ingest (OpenRouter anthropic/claude-sonnet-4.5)

Pentagon-Agent: Vida <PIPELINE>

domains/health/audio-only-telehealth-equity-relevant-modality-overindexes-underserved-populations.md

@@ -16,3 +16,10 @@ related: ["the mental health supply gap is widening not closing because demand o
 # Audio-only telehealth is the equity-relevant modality because it over-indexes on populations that video-based telehealth systematically underserves
 
 Among telehealth modalities, audio-only demonstrates a distinct equity profile. Medicare beneficiaries who are older, racial/ethnic minorities, dual-enrolled, rural, or have low broadband access are significantly more likely to use audio-only than video-based telehealth. This pattern inverts the typical digital health disparity where higher-income, higher-education, urban populations dominate adoption. Audio-only reaches the populations that cannot manage video—whether due to broadband limitations, device access, digital literacy barriers, or privacy constraints (video requires private space that many low-income households lack). The modality functions as the most equitable telehealth option precisely because it removes the technical and environmental barriers that video imposes. Maryland is cited as the only state that has legislatively expanded Medicaid telehealth definition to include text messaging, suggesting policy recognition of modality-specific equity implications. The Crisis Text Line similarly over-indexes on young, rural, low-income users. This creates a policy implication: audio-only coverage and reimbursement parity is the equity-relevant lever for telehealth access, while video-based telehealth (the dominant modality) reinforces existing disparities. Video-based telehealth is 1.62-1.67x more common in low-deprivation areas (PNAS Nexus 2025), confirming the modality-specific disparity pattern.
+
+
+## Challenging Evidence
+
+**Source:** Journal of Telemedicine and Telecare, Medicare claims 2019-2020
+
+2019-2020 Medicare claims show telehealth disparities EXPANDED during COVID, not contracted. Non-Hispanic Black/African-American and Hispanic beneficiaries were less likely to utilize telehealth than White beneficiaries, with disparities growing in 2020. Rural patients went from MORE likely (2019) to LESS likely (2020) to use telehealth. This challenges the assumption that telehealth modality alone solves equity—the data shows structural displacement when demand surges overwhelm capacity.

domains/health/generic-digital-health-deployment-reproduces-existing-disparities-by-disproportionately-benefiting-higher-income-users-despite-nominal-technology-access-equity.md

@@ -34,3 +34,10 @@ Topics:
 **Source:** JMIR 2024 e59939
 
 FQHCs adopting telemental health showed 5-7 percent increase in visit rates among Medicaid and low-income groups, demonstrating that institutional deployment context matters. However, standalone apps (BetterHelp, Headspace, Calm) cost $260-400/month with no Medicaid coverage and predominantly serve insured/higher-income/younger/White users. Text therapy (Talkspace, BetterHelp messaging) costs $65-100/week with virtually no Medicaid coverage in any state. The disparity is structural: commercial apps optimize for paying customers, while safety-net institutions lack resources to deploy digital tools at scale.
+
+
+## Extending Evidence
+
+**Source:** npj Digital Medicine 2025; Lancet Digital Health 2025
+
+Mental health app attrition mechanisms are structurally inequitable: limited digital literacy (structural barrier for underserved), privacy concerns (higher in marginalized populations), lack of cultural/linguistic adaptation for non-English speakers, and poor usability that assumes technical sophistication. Even in best-case RCT conditions with motivated participants, 64% attrition suggests real-world underserved populations would face substantially higher dropout rates, creating a selection effect where apps work only for the already-advantaged completer minority.

inbox/archive/health/2026-04-21-who-glp1-obesity-guideline-december-2025.md

@@ -7,9 +7,12 @@ date: 2025-12-01
 domain: health
 secondary_domains: []
 format: guideline
-status: unprocessed
+status: processed
+processed_by: vida
+processed_date: 2026-04-21
 priority: medium
 tags: [GLP-1, WHO, USPSTF, obesity, guideline, coverage-policy, access]
+extraction_model: "anthropic/claude-sonnet-4.5"
 ---
 
 ## Content