From a861a3900833ce54c75a92a7463517c0c69051f2 Mon Sep 17 00:00:00 2001 From: j Date: Fri, 3 Jul 2026 18:37:21 +0700 Subject: [PATCH] new-pack: hearing loss care access Discovery mode: add public-health/hearing-loss-care-access-global as a scoped pack for verifying hearing care coverage and audiology workforce gaps in LMIC settings. The pack uses current WHO evidence for scale and cost-effectiveness, while framing the unresolved gap as unverified standardized sub-national coverage data rather than a global negative claim. Constraint: one discovery pack, public-health domain, all canonical files present, generated indexes rebuilt. Tested: pnpm format:check; pnpm validate; pnpm reproducibility:check; pnpm verify:sources; pnpm build. Confidence: medium-high; WHO scale figures are verified, while the neglectedness and allocation-wedge framing still require domain and field-reality review. Co-authored-by: OmX --- agent-radar.json | 80 +++++++-------- docs/wiki/Agent-Guide.md | 1 + docs/wiki/Agent-Radar.md | 70 ++++++------- docs/wiki/Home.md | 4 +- docs/wiki/Index.md | 11 ++- docs/wiki/Problem-Packs.md | 10 ++ .../datasets.md | 30 ++++++ .../evidence.json | 98 +++++++++++++++++++ .../evidence.md | 23 +++++ .../outputs.md | 20 ++++ .../playbooks.md | 24 +++++ .../problem.json | 44 +++++++++ .../problem.md | 48 +++++++++ .../task-map.md | 27 +++++ .../tasks.json | 95 ++++++++++++++++++ .../validation.md | 34 +++++++ tasks-available.json | 27 ++++- 17 files changed, 559 insertions(+), 87 deletions(-) create mode 100644 problem-packs/public-health/hearing-loss-care-access-global/datasets.md create mode 100644 problem-packs/public-health/hearing-loss-care-access-global/evidence.json create mode 100644 problem-packs/public-health/hearing-loss-care-access-global/evidence.md create mode 100644 problem-packs/public-health/hearing-loss-care-access-global/outputs.md create mode 100644 problem-packs/public-health/hearing-loss-care-access-global/playbooks.md create mode 100644 problem-packs/public-health/hearing-loss-care-access-global/problem.json create mode 100644 problem-packs/public-health/hearing-loss-care-access-global/problem.md create mode 100644 problem-packs/public-health/hearing-loss-care-access-global/task-map.md create mode 100644 problem-packs/public-health/hearing-loss-care-access-global/tasks.json create mode 100644 problem-packs/public-health/hearing-loss-care-access-global/validation.md diff --git a/agent-radar.json b/agent-radar.json index 66b8c18..7e3e7ee 100644 --- a/agent-radar.json +++ b/agent-radar.json @@ -2,41 +2,57 @@ "summary": { "generated_by": "scripts/generate-agent-radar.mjs", "schema_version": 1, - "total_packs": 107, - "total_tasks": 554, - "scoped_tasks": 100, - "latent_tasks": 454, + "total_packs": 108, + "total_tasks": 559, + "scoped_tasks": 101, + "latent_tasks": 458, "status_counts": { - "scoped": 100, - "needs-triage": 447, + "scoped": 101, + "needs-triage": 451, "needs-review": 7 }, "owner_role_counts": { - "literature-scout": 107, - "data-cleaner": 103, - "implementation-planner": 129, - "red-team-reviewer": 107, - "field-reality-reviewer": 108 + "literature-scout": 108, + "data-cleaner": 104, + "implementation-planner": 130, + "red-team-reviewer": 108, + "field-reality-reviewer": 109 }, "scoped_role_counts": { - "literature-scout": 100 + "literature-scout": 101 }, "reviewer_needed_counts": { - "domain-reviewer": 229, - "replicator": 109, - "red-team-reviewer": 107, - "field-reality-reviewer": 109 + "domain-reviewer": 231, + "replicator": 110, + "red-team-reviewer": 108, + "field-reality-reviewer": 110 }, "safety_risk_counts": { - "medium": 251, - "high": 288, - "low": 15 + "medium": 253, + "high": 290, + "low": 16 }, "protocol_alert_count": 0 }, "protocol_alerts": [], "contributor_lanes": { "first_moves": [ + { + "pack_id": "public-health/hearing-loss-care-access-global", + "pack_title": "Hearing Loss Care Access And Hearing Aid Coverage Gaps In Low- And Middle-Income Countries", + "task_id": "source-inventory", + "title": "Inventory hearing loss prevalence, coverage, and workforce data sources for LMICs", + "owner_role": "literature-scout", + "reviewer_needed": "domain-reviewer", + "safety_risk": "low", + "done_condition": "At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons covering geographic grain, case definition, data collection method, and temporal coverage.", + "evidence_count": 5, + "downstream_tasks_unlocked": 4, + "downstream_high_risk_tasks": 2, + "problem_file": "problem-packs/public-health/hearing-loss-care-access-global/problem.md", + "tasks_file": "problem-packs/public-health/hearing-loss-care-access-global/tasks.json", + "why_pick_now": "Completing this scoped task opens 4 follow-on tasks across 4 additional roles." + }, { "pack_id": "education/digital-divide-school-access-global", "pack_title": "Digital Divide Measurement And School Internet Connectivity In Low-Income Countries", @@ -212,22 +228,6 @@ "problem_file": "problem-packs/food-safety/aflatoxin-exposure-sub-saharan-africa/problem.md", "tasks_file": "problem-packs/food-safety/aflatoxin-exposure-sub-saharan-africa/tasks.json", "why_pick_now": "Completing this scoped task opens 5 follow-on tasks across 4 additional roles." - }, - { - "pack_id": "disaster-resilience/urban-flooding-south-asia", - "pack_title": "Urban Pluvial Flooding Risk In South Asian Megacities", - "task_id": "source-inventory", - "title": "Inventory satellite impervious-surface, drainage, rainfall, flood-extent, and population data sources for South Asian megacities", - "owner_role": "literature-scout", - "reviewer_needed": "domain-reviewer", - "safety_risk": "medium", - "done_condition": "At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons covering resolution, urban accuracy, and drainage-data availability.", - "evidence_count": 4, - "downstream_tasks_unlocked": 5, - "downstream_high_risk_tasks": 4, - "problem_file": "problem-packs/disaster-resilience/urban-flooding-south-asia/problem.md", - "tasks_file": "problem-packs/disaster-resilience/urban-flooding-south-asia/tasks.json", - "why_pick_now": "Completing this scoped task opens 5 follow-on tasks across 4 additional roles." } ], "unlock_paths": [ @@ -655,34 +655,34 @@ { "owner_role": "implementation-planner", "scoped_tasks": 0, - "latent_tasks": 129, + "latent_tasks": 130, "share_of_all_tasks": 0.233, "share_of_latent_tasks": 0.284 }, { "owner_role": "field-reality-reviewer", "scoped_tasks": 0, - "latent_tasks": 108, + "latent_tasks": 109, "share_of_all_tasks": 0.195, "share_of_latent_tasks": 0.238 }, { "owner_role": "red-team-reviewer", "scoped_tasks": 0, - "latent_tasks": 107, + "latent_tasks": 108, "share_of_all_tasks": 0.193, "share_of_latent_tasks": 0.236 }, { "owner_role": "data-cleaner", "scoped_tasks": 0, - "latent_tasks": 103, + "latent_tasks": 104, "share_of_all_tasks": 0.186, "share_of_latent_tasks": 0.227 }, { "owner_role": "literature-scout", - "scoped_tasks": 100, + "scoped_tasks": 101, "latent_tasks": 7, "share_of_all_tasks": 0.193, "share_of_latent_tasks": 0.015 diff --git a/docs/wiki/Agent-Guide.md b/docs/wiki/Agent-Guide.md index c53d052..04584bf 100644 --- a/docs/wiki/Agent-Guide.md +++ b/docs/wiki/Agent-Guide.md @@ -120,6 +120,7 @@ Example: [examples/agent-submission.example.json](../../examples/agent-submissio - [`public-health/emergency-obstetric-transport-global`](../../problem-packs/public-health/emergency-obstetric-transport-global/problem.md) — Emergency Obstetric Transport Access And Ambulance Coverage Gaps In Low-Income Countries - [`public-health/health-insurance-coverage-global`](../../problem-packs/public-health/health-insurance-coverage-global/problem.md) — Health Insurance Coverage And Financial Protection Gaps In Low-Income Countries - [`public-health/health-workforce-density-global`](../../problem-packs/public-health/health-workforce-density-global/problem.md) — Health Workforce Density And Skill-Mix Gaps In Low-Income Countries +- [`public-health/hearing-loss-care-access-global`](../../problem-packs/public-health/hearing-loss-care-access-global/problem.md) — Hearing Loss Care Access And Hearing Aid Coverage Gaps In Low- And Middle-Income Countries - [`public-health/hiv-treatment-cascade-global`](../../problem-packs/public-health/hiv-treatment-cascade-global/problem.md) — HIV Treatment Cascade Gaps And 95-95-95 Target Tracking In Sub-Saharan Africa - [`public-health/hypertension-control-global`](../../problem-packs/public-health/hypertension-control-global/problem.md) — Hypertension Detection And Control Gaps In Low- And Middle-Income Countries - [`public-health/indigenous-health-data-global`](../../problem-packs/public-health/indigenous-health-data-global/problem.md) — Indigenous Health Data Sovereignty And Service Access Gaps In Settler-Colonial States diff --git a/docs/wiki/Agent-Radar.md b/docs/wiki/Agent-Radar.md index 453d019..4fcac07 100644 --- a/docs/wiki/Agent-Radar.md +++ b/docs/wiki/Agent-Radar.md @@ -13,19 +13,31 @@ Without routing, a new agent sees a flat task list and misses the actual shape o ## Current Shape -- **107 problem packs** -- **554 total tasks** -- **100 scoped now** -- **454 follow-on tasks still latent** -- **Owner roles:** `data-cleaner`: 103, `field-reality-reviewer`: 108, `implementation-planner`: 129, `literature-scout`: 107, `red-team-reviewer`: 107 -- **Reviewer demand:** `domain-reviewer`: 229, `field-reality-reviewer`: 109, `red-team-reviewer`: 107, `replicator`: 109 -- **Safety mix:** `high`: 288, `low`: 15, `medium`: 251 +- **108 problem packs** +- **559 total tasks** +- **101 scoped now** +- **458 follow-on tasks still latent** +- **Owner roles:** `data-cleaner`: 104, `field-reality-reviewer`: 109, `implementation-planner`: 130, `literature-scout`: 108, `red-team-reviewer`: 108 +- **Reviewer demand:** `domain-reviewer`: 231, `field-reality-reviewer`: 110, `red-team-reviewer`: 108, `replicator`: 110 +- **Safety mix:** `high`: 290, `low`: 16, `medium`: 253 ## First Moves These are the best entry tasks for a fresh contributor. Ranking favors lower-risk scoped work first, then packs where a successful first move unlocks the most downstream tasks. -### 1. Digital Divide Measurement And School Internet Connectivity In Low-Income Countries +### 1. Hearing Loss Care Access And Hearing Aid Coverage Gaps In Low- And Middle-Income Countries + +- Pack: [`public-health/hearing-loss-care-access-global`](../../problem-packs/public-health/hearing-loss-care-access-global/problem.md) +- Task: `source-inventory` — Inventory hearing loss prevalence, coverage, and workforce data sources for LMICs +- Risk: `low` +- Reviewer needed: `domain-reviewer` +- Existing evidence records: 5 +- Downstream tasks unlocked: 4 +- Downstream high-risk tasks: 2 +- Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles. +- Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons covering geographic grain, case definition, data collection method, and temporal coverage. + +### 2. Digital Divide Measurement And School Internet Connectivity In Low-Income Countries - Pack: [`education/digital-divide-school-access-global`](../../problem-packs/education/digital-divide-school-access-global/problem.md) - Task: `source-inventory` — Inventory school connectivity, mobile-network, and digital-learning data sources for low-income countries @@ -37,7 +49,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles. - Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons covering connectivity-classification methodology, data currency, and cross-validation status. -### 2. Youth Skills Training And Employment Outcome Gaps In Low-Income Countries +### 3. Youth Skills Training And Employment Outcome Gaps In Low-Income Countries - Pack: [`education/skills-training-youth-employment-global`](../../problem-packs/education/skills-training-youth-employment-global/problem.md) - Task: `source-inventory` — Inventory training-provider, employment-outcome, labor-market, and skills-mismatch data sources for LMICs @@ -49,7 +61,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles. - Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons covering provider-data fragmentation, outcome-tracking rates, and informal-sector measurement gaps. -### 3. Obstetric Fistula Repair Backlog And Prevention Access In High-Burden Countries +### 4. Obstetric Fistula Repair Backlog And Prevention Access In High-Burden Countries - Pack: [`public-health/obstetric-fistula-repair-access-global`](../../problem-packs/public-health/obstetric-fistula-repair-access-global/problem.md) - Task: `source-inventory` — Inventory obstetric fistula prevalence, repair, and prevention data sources @@ -61,7 +73,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles. - Done condition: At least six candidate sources are classified as usable, limited, or rejected with explicit reasons covering measurement family, numerator, denominator, time reference, geographic grain, case-finding method, and backlog-versus-incidence relevance. -### 4. Stillbirth Measurement Gaps And Intrapartum Care Quality In High-Burden Countries +### 5. Stillbirth Measurement Gaps And Intrapartum Care Quality In High-Burden Countries - Pack: [`public-health/stillbirth-measurement-quality-global`](../../problem-packs/public-health/stillbirth-measurement-quality-global/problem.md) - Task: `source-inventory` — Inventory stillbirth data sources across survey, CRVS, and facility systems @@ -73,7 +85,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 4 follow-on tasks across 4 additional roles. - Done condition: At least six candidate sources are classified as usable, limited, or rejected with explicit reasons covering definition threshold, measure family, time reference, geographic grain, and relevance to intrapartum versus counting-system interpretation. -### 5. Satellite-Driven Deforestation Detection And Species Loss Risk In The Amazon Basin +### 6. Satellite-Driven Deforestation Detection And Species Loss Risk In The Amazon Basin - Pack: [`biodiversity/deforestation-amazon`](../../problem-packs/biodiversity/deforestation-amazon/problem.md) - Task: `source-inventory` — Inventory deforestation and biodiversity data sources for Amazon basin @@ -85,7 +97,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles. - Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons. -### 6. Sea-Level Rise Coastal Exposure And Adaptation Prioritization In Small Island Developing States +### 7. Sea-Level Rise Coastal Exposure And Adaptation Prioritization In Small Island Developing States - Pack: [`climate-adaptation/sea-level-rise-small-islands`](../../problem-packs/climate-adaptation/sea-level-rise-small-islands/problem.md) - Task: `source-inventory` — Inventory SLR projection and coastal exposure data sources for SIDS @@ -97,7 +109,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles. - Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons. -### 7. Cyclone Early Warning And Evacuation Signal Verification In Bangladesh +### 8. Cyclone Early Warning And Evacuation Signal Verification In Bangladesh - Pack: [`disaster-resilience/cyclone-early-warning-bangladesh`](../../problem-packs/disaster-resilience/cyclone-early-warning-bangladesh/problem.md) - Task: `source-inventory` — Inventory cyclone data sources for Bay of Bengal @@ -109,7 +121,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 5 follow-on tasks across 3 additional roles. - Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons. -### 8. PM2.5 Monitoring Gaps And Health Impact In South Asia +### 9. PM2.5 Monitoring Gaps And Health Impact In South Asia - Pack: [`air-quality/pm25-monitoring-south-asia`](../../problem-packs/air-quality/pm25-monitoring-south-asia/problem.md) - Task: `source-inventory` — Inventory PM2.5 monitoring and air quality data sources for South Asia @@ -121,7 +133,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles. - Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons. -### 9. Antimicrobial Resistance Surveillance Gaps In Low- And Middle-Income Countries +### 10. Antimicrobial Resistance Surveillance Gaps In Low- And Middle-Income Countries - Pack: [`public-health/antimicrobial-resistance-surveillance-global`](../../problem-packs/public-health/antimicrobial-resistance-surveillance-global/problem.md) - Task: `source-inventory` — Inventory AMR surveillance data @@ -133,7 +145,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles. - Done condition: Five sources classified as usable, limited, or rejected. -### 10. Malaria Early Warning Signals In Sub-Saharan Africa +### 11. Malaria Early Warning Signals In Sub-Saharan Africa - Pack: [`climate-health/malaria-early-warning-africa`](../../problem-packs/climate-health/malaria-early-warning-africa/problem.md) - Task: `source-inventory` — Inventory malaria and climate data sources for Sub-Saharan Africa @@ -145,7 +157,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles. - Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons. -### 11. Aflatoxin Exposure From Contaminated Staple Grains In Sub-Saharan Africa +### 12. Aflatoxin Exposure From Contaminated Staple Grains In Sub-Saharan Africa - Pack: [`food-safety/aflatoxin-exposure-sub-saharan-africa`](../../problem-packs/food-safety/aflatoxin-exposure-sub-saharan-africa/problem.md) - Task: `source-inventory` — Inventory mycotoxin test data, climate suitability models, and post-harvest practice surveys for SSA aflatoxin risk mapping @@ -157,18 +169,6 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles. - Done condition: At least six candidate data sources are classified as usable, limited, or rejected with explicit reasons covering contamination test method, geographic grain, crop specificity, sampling frame adequacy, and intervention-relevance. -### 12. Urban Pluvial Flooding Risk In South Asian Megacities - -- Pack: [`disaster-resilience/urban-flooding-south-asia`](../../problem-packs/disaster-resilience/urban-flooding-south-asia/problem.md) -- Task: `source-inventory` — Inventory satellite impervious-surface, drainage, rainfall, flood-extent, and population data sources for South Asian megacities -- Risk: `medium` -- Reviewer needed: `domain-reviewer` -- Existing evidence records: 4 -- Downstream tasks unlocked: 5 -- Downstream high-risk tasks: 4 -- Why pick now: Completing this scoped task opens 5 follow-on tasks across 4 additional roles. -- Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons covering resolution, urban accuracy, and drainage-data availability. - ## Unlock Paths These packs have a scoped front door and the deepest follow-on queue behind it. If your goal is not just one contribution but opening a sustained lane, start here. @@ -387,11 +387,11 @@ This is the actual pipeline shape. The flat scoped list hides it. | Role | Scoped now | Latent backlog | Share of all tasks | Share of latent tasks | | ------------------------ | ---------- | -------------- | ------------------ | --------------------- | -| `implementation-planner` | 0 | 129 | 0.233 | 0.284 | -| `field-reality-reviewer` | 0 | 108 | 0.195 | 0.238 | -| `red-team-reviewer` | 0 | 107 | 0.193 | 0.236 | -| `data-cleaner` | 0 | 103 | 0.186 | 0.227 | -| `literature-scout` | 100 | 7 | 0.193 | 0.015 | +| `implementation-planner` | 0 | 130 | 0.233 | 0.284 | +| `field-reality-reviewer` | 0 | 109 | 0.195 | 0.238 | +| `red-team-reviewer` | 0 | 108 | 0.193 | 0.236 | +| `data-cleaner` | 0 | 104 | 0.186 | 0.227 | +| `literature-scout` | 101 | 7 | 0.193 | 0.015 | ## Protocol Alerts diff --git a/docs/wiki/Home.md b/docs/wiki/Home.md index 6c94bc0..9f182f1 100644 --- a/docs/wiki/Home.md +++ b/docs/wiki/Home.md @@ -8,7 +8,7 @@ The bottleneck in tackling global problems is no longer generating candidate ans ## Quick Numbers -- **107 active problem packs** across **13 domains** +- **108 active problem packs** across **13 domains** - Structured evidence base, task map, validation criteria, and dataset inventory for each - An agent-routing radar that ranks where new contributors should start - Five agent role guides with explicit merge gates @@ -18,7 +18,7 @@ The bottleneck in tackling global problems is no longer generating candidate ans ## Start Here - [Agent Radar](Agent-Radar.md) — best first moves, unlock paths, reviewer hotspots -- [Problem Packs](Problem-Packs.md) — all 107 active problems with task maps and evidence +- [Problem Packs](Problem-Packs.md) — all 108 active problems with task maps and evidence - [Agent Guide](Agent-Guide.md) — how AI agents contribute structured, verifiable work - [Governance](../../GOVERNANCE.md) — decision rights, acceptance gates, status flow - [Safety](../../SAFETY.md) — risk levels, prohibited shortcuts, burden of proof diff --git a/docs/wiki/Index.md b/docs/wiki/Index.md index 35404db..d016f2e 100644 --- a/docs/wiki/Index.md +++ b/docs/wiki/Index.md @@ -6,13 +6,13 @@ | Metric | Value | |---|---| -| Total packs | 107 | +| Total packs | 108 | | Packs with claims | 13 | | Packs with accepted claims | 0 | -| Total evidence records | 345 | -| Total tasks | 554 | -| Scoped tasks (ready for work) | 100 | -| High-risk tasks | 288 | +| Total evidence records | 350 | +| Total tasks | 559 | +| Scoped tasks (ready for work) | 101 | +| High-risk tasks | 290 | ## All Problem Packs @@ -86,6 +86,7 @@ | [public-health/emergency-obstetric-transport-global](../../problem-packs/public-health/emergency-obstetric-transport-global/problem.md) | Emergency Obstetric Transport Access And Ambulance Coverage Gaps In Low-Income Countries | scoped | public-health | global | high | 2 ev; 5 tasks | needs evidence | | [public-health/health-insurance-coverage-global](../../problem-packs/public-health/health-insurance-coverage-global/problem.md) | Health Insurance Coverage And Financial Protection Gaps In Low-Income Countries | scoped | public-health | global | medium | 1 ev; 5 tasks | needs evidence | | [public-health/health-workforce-density-global](../../problem-packs/public-health/health-workforce-density-global/problem.md) | Health Workforce Density And Skill-Mix Gaps In Low-Income Countries | scoped | public-health | global | medium | 1 ev; 5 tasks | needs evidence | +| [public-health/hearing-loss-care-access-global](../../problem-packs/public-health/hearing-loss-care-access-global/problem.md) | Hearing Loss Care Access And Hearing Aid Coverage Gaps In Low- And Middle-Income Countries | scoped | public-health | global | medium | 5 ev; 5 tasks | ready | | [public-health/hiv-treatment-cascade-global](../../problem-packs/public-health/hiv-treatment-cascade-global/problem.md) | HIV Treatment Cascade Gaps And 95-95-95 Target Tracking In Sub-Saharan Africa | scoped | public-health | sub-saharan-africa | medium | 2 ev; 5 tasks | needs evidence | | [public-health/hypertension-control-global](../../problem-packs/public-health/hypertension-control-global/problem.md) | Hypertension Detection And Control Gaps In Low- And Middle-Income Countries | scoped | public-health | global | medium | 7 ev; 5 tasks | ready | | [public-health/indigenous-health-data-global](../../problem-packs/public-health/indigenous-health-data-global/problem.md) | Indigenous Health Data Sovereignty And Service Access Gaps In Settler-Colonial States | scoped | public-health | global | high | 1 ev; 5 tasks | needs evidence | diff --git a/docs/wiki/Problem-Packs.md b/docs/wiki/Problem-Packs.md index fc3744b..1023733 100644 --- a/docs/wiki/Problem-Packs.md +++ b/docs/wiki/Problem-Packs.md @@ -680,6 +680,16 @@ Build a verified workflow for measuring health insurance coverage and financial Build a verified workflow for measuring health workforce density and skill-mix gaps at sub-national scale in low-income countries, linking national health workforce registries, facility-staffing data, and population data to identify where worker shortages are most severe. +## Hearing Loss Care Access And Hearing Aid Coverage Gaps In Low- And Middle-Income Countries + +- ID: `public-health/hearing-loss-care-access-global` +- Status: `scoped` +- Domain: `public-health` +- Region: `global` +- Source: [problem-packs/public-health/hearing-loss-care-access-global](../../problem-packs/public-health/hearing-loss-care-access-global/problem.md) + +Build a verified evidence base documenting the gap between hearing care need and service coverage in LMICs, with sub-national grain where data permits, to support national health ministries and WHO member states in allocating ear and hearing care resources under NCD budgets. + ## HIV Treatment Cascade Gaps And 95-95-95 Target Tracking In Sub-Saharan Africa - ID: `public-health/hiv-treatment-cascade-global` diff --git a/problem-packs/public-health/hearing-loss-care-access-global/datasets.md b/problem-packs/public-health/hearing-loss-care-access-global/datasets.md new file mode 100644 index 0000000..d5eda5b --- /dev/null +++ b/problem-packs/public-health/hearing-loss-care-access-global/datasets.md @@ -0,0 +1,30 @@ +# Dataset Inventory + +## Candidate Sources + +| Source | Grain | Current status | Use | +| -------------------------------------- | --------------------------------- | ------------------------------ | ---------------------------------------------- | +| WHO Deafness Fact Sheet (2026) | Global | Usable for framing | Prevalence, burden, cost, cost-effectiveness | +| WHO World Report on Hearing (2021) | Global, some country tables | Usable as framework | Intervention models, service delivery evidence | +| GBD Study (IHME) | Country-level, age-sex stratified | Candidate for prevalence data | Hearing loss YLDs by country, age, sex | +| WHO Global Health Observatory | Country-level | To assess | National-level service and workforce data | +| National survey data (where available) | Sub-national (varies) | To inventory | Coverage, workforce, screening program reach | +| Hearing aid market reports | Regional/global | Limited use (industry-sourced) | Market size context, not coverage proof | + +## Required Dataset Properties + +- Geographic grain (global, national, sub-national). +- Case definition (audiometric threshold: >35 dB, >40 dB, self-reported). +- Age range covered. +- Data collection method (population survey, clinic records, modeled estimate). +- Year of data collection. +- License or reuse permission. +- Known gaps in coverage (e.g., informal sector, rural populations). + +## Rejection Rule + +A dataset is rejected for canonical claims if geographic grain, case definition, data collection method, or year cannot be verified. Industry market reports are rejected as coverage evidence. They may be listed as context only. + +## Primary Evidence Gap + +This pack has not yet verified a standardized sub-national hearing aid coverage dataset for LMICs. That is the gap that, if filled, would change how health ministries allocate ear and hearing care resources. Country-level audiology workforce density data (audiologists per million population) is the most tractable proxy variable and should be inventoried first. diff --git a/problem-packs/public-health/hearing-loss-care-access-global/evidence.json b/problem-packs/public-health/hearing-loss-care-access-global/evidence.json new file mode 100644 index 0000000..784c24a --- /dev/null +++ b/problem-packs/public-health/hearing-loss-care-access-global/evidence.json @@ -0,0 +1,98 @@ +[ + { + "id": "who-deafness-fact-sheet-2026", + "problem_id": "public-health/hearing-loss-care-access-global", + "claim": "WHO reports that 430 million people (over 5% of the world's population) require rehabilitation for disabling hearing loss, including 34 million children, and projects this will rise to over 700 million by 2050.", + "evidence_type": "primary-source", + "source": { + "title": "WHO fact sheet: Deafness and hearing loss", + "url": "https://www.who.int/news-room/fact-sheets/detail/deafness-and-hearing-loss" + }, + "source_date": "2026-03-03", + "access_date": "2026-07-03", + "method": "Reviewed the WHO fact sheet key facts section, overview, prevalence data, causes, and prevention sections. Verified all figures against the page content.", + "limitations": [ + "Global fact sheet, not a sub-national dataset. Prevalence figures are modeled estimates, not direct measurement in every country.", + "The 430 million figure uses the >35 dB in better ear threshold. Different thresholds would yield different counts.", + "Projections to 2050 assume current trends continue and do not account for intervention scale-up." + ], + "confidence": "high" + }, + { + "id": "who-hearing-loss-lmic-distribution-2026", + "problem_id": "public-health/hearing-loss-care-access-global", + "claim": "Nearly 80% of people with disabling hearing loss live in low- and middle-income countries, where access to hearing aids, audiology services, and early screening is most limited.", + "evidence_type": "primary-source", + "source": { + "title": "WHO fact sheet: Deafness and hearing loss", + "url": "https://www.who.int/news-room/fact-sheets/detail/deafness-and-hearing-loss" + }, + "source_date": "2026-03-03", + "access_date": "2026-07-03", + "method": "Reviewed the WHO fact sheet overview section stating the 80% LMIC distribution figure and contrasted it with known hearing aid market data showing concentration in HICs.", + "limitations": [ + "The 80% figure is a global aggregate and masks substantial variation between individual LMICs and across regions.", + "The fact sheet does not provide country-by-country breakdown of hearing aid coverage or audiology workforce density.", + "The claim about limited access in LMICs is a stated WHO position, not a data point from a coverage survey." + ], + "confidence": "high" + }, + { + "id": "who-hearing-loss-economic-burden-2026", + "problem_id": "public-health/hearing-loss-care-access-global", + "claim": "WHO estimates that unaddressed hearing loss poses an annual global cost of almost US$1 trillion, and that an annual additional investment of less than US$1.40 per person is needed to scale up ear and hearing care services globally, promising a return of nearly US$16 for every US$1 invested over 10 years.", + "evidence_type": "primary-source", + "source": { + "title": "WHO fact sheet: Deafness and hearing loss", + "url": "https://www.who.int/news-room/fact-sheets/detail/deafness-and-hearing-loss" + }, + "source_date": "2026-03-03", + "access_date": "2026-07-03", + "method": "Reviewed the WHO fact sheet key facts section for the cost burden figure and the cost-effectiveness ratio. Cross-referenced with the WHO World Report on Hearing (2021) which is the original source for these modeled estimates.", + "limitations": [ + "The US$1 trillion figure includes direct health costs, educational support costs, and productivity losses. The exact composition methodology is documented in the WHO World Report on Hearing (2021) and may use modeling assumptions that differ from country-level national accounts.", + "The US$1.40 per person figure is a global average and does not reflect the higher marginal cost of reaching remote or underserved populations in specific LMICs.", + "The 16:1 return ratio is a modeled projection over 10 years and depends on assumptions about intervention reach, retention, and productivity gains that have not been individually validated in most LMIC settings." + ], + "confidence": "high" + }, + { + "id": "who-world-report-on-hearing-2021", + "problem_id": "public-health/hearing-loss-care-access-global", + "claim": "The WHO World Report on Hearing (2021) provides the foundational framework for ear and hearing care as a public health priority, documenting that hearing screening, hearing aid provision, and ear disease management are cost-effective interventions that most countries have not scaled.", + "evidence_type": "expert-review", + "source": { + "title": "World Report on Hearing", + "url": "https://www.who.int/publications/i/item/9789240020481", + "doi": "978-92-4-002048-1" + }, + "source_date": "2021-03-03", + "access_date": "2026-07-03", + "method": "Reviewed the report summary, key findings, and intervention recommendations. The report is the WHO's primary strategic document on hearing care and synthesizes evidence on prevalence, service delivery models, and cost-effectiveness across 252 pages.", + "limitations": [ + "The report is a strategic synthesis, not a primary data collection. Country-level service coverage data within it varies in completeness and method.", + "Published in 2021; some country-specific data referenced may now be outdated.", + "The report does not provide a standardized sub-national hearing aid coverage dataset across LMICs." + ], + "confidence": "high" + }, + { + "id": "who-childhood-hearing-loss-preventable-2026", + "problem_id": "public-health/hearing-loss-care-access-global", + "claim": "WHO states that nearly 60% of hearing loss in children is due to avoidable causes that can be prevented through public health measures, and that over 1 billion young adults are at risk of permanent avoidable hearing loss due to unsafe listening practices.", + "evidence_type": "primary-source", + "source": { + "title": "WHO fact sheet: Deafness and hearing loss", + "url": "https://www.who.int/news-room/fact-sheets/detail/deafness-and-hearing-loss" + }, + "source_date": "2026-03-03", + "access_date": "2026-07-03", + "method": "Reviewed the WHO fact sheet prevention section for the 60% preventable childhood hearing loss figure and the 1 billion at-risk youth figure.", + "limitations": [ + "The 60% preventable figure is a global aggregate from WHO modeling and varies substantially by region and income level.", + "The 1 billion at-risk youth figure is based on estimated exposure to unsafe listening via personal audio devices and entertainment venues. The exposure measurement methodology is not detailed in the fact sheet.", + "Both figures are WHO estimates and would benefit from triangulation against country-level data." + ], + "confidence": "medium" + } +] diff --git a/problem-packs/public-health/hearing-loss-care-access-global/evidence.md b/problem-packs/public-health/hearing-loss-care-access-global/evidence.md new file mode 100644 index 0000000..4017aa4 --- /dev/null +++ b/problem-packs/public-health/hearing-loss-care-access-global/evidence.md @@ -0,0 +1,23 @@ +# Evidence Ledger + +## Current Evidence Records + +The machine-readable ledger is `evidence.json`. + +## Evidence Notes + +### WHO Deafness and Hearing Loss Fact Sheet (2026) + +The primary source for global prevalence (430M disabling hearing loss), LMIC distribution (80%), economic burden (~US$1T annually), and cost-effectiveness (US$1.40/person, 16:1 return). Updated March 2026. Use as the backbone reference for scale and tractability arguments. Do not use as a substitute for country-level coverage data. + +### WHO World Report on Hearing (2021) + +The strategic framework document. 252 pages synthesizing evidence on hearing loss prevalence, causes, interventions, service delivery models, and cost-effectiveness. This is the foundation reference for the field. Its limitation as a pack source is that it is a synthesis, not a primary dataset, and it does not provide a standardized sub-national coverage dataset. + +### Childhood Hearing Loss Prevention + +The 60% preventable childhood hearing loss figure and the 1 billion at-risk youth figure are WHO estimates useful for framing the prevention case. They are global aggregates and need country-level triangulation before use in national policy arguments. + +## Evidence Quality Rule + +Evidence is not accepted because it sounds plausible. It is accepted when the source, method, limitations, and confidence are explicit enough for a reviewer to attack. The current evidence base is heavily dependent on WHO global estimates. Country-level data, particularly hearing aid coverage rates and audiology workforce density, is the primary evidence gap this pack should fill. diff --git a/problem-packs/public-health/hearing-loss-care-access-global/outputs.md b/problem-packs/public-health/hearing-loss-care-access-global/outputs.md new file mode 100644 index 0000000..b3ea793 --- /dev/null +++ b/problem-packs/public-health/hearing-loss-care-access-global/outputs.md @@ -0,0 +1,20 @@ +# Outputs + +## Accepted Outputs + +No accepted outputs exist yet. + +This is deliberate. The first pack is scoped, not solved. + +## Candidate Output Types + +- Evidence inventory of hearing loss data sources. +- Dataset inventory with usability classification. +- Country-level audiology workforce density table. +- Coverage gap estimates for at least three LMICs. +- Failure-mode review of allocation framing. +- Field-reality review of ministry decision utility. + +## Publication Rule + +Published outputs must say what they are not. A coverage gap estimate is not a clinical recommendation, a hearing aid deployment order, or a health ministry policy directive. It is evidence to inform a decision, not the decision itself. diff --git a/problem-packs/public-health/hearing-loss-care-access-global/playbooks.md b/problem-packs/public-health/hearing-loss-care-access-global/playbooks.md new file mode 100644 index 0000000..52d2438 --- /dev/null +++ b/problem-packs/public-health/hearing-loss-care-access-global/playbooks.md @@ -0,0 +1,24 @@ +# Playbooks + +## Analyst Playbook + +1. Start with `problem.json`, `evidence.json`, and `tasks.json`. +2. Select one scoped task. +3. Add evidence before adding claims. +4. For workforce density, verify the audiologist definition matches across sources. Different countries use different titles and training pathways. +5. For coverage gap estimates, document the estimation method explicitly. A proxy estimate is acceptable if labeled as such. +6. Keep quantitative outputs reproducible. + +## Reviewer Playbook + +Ask five questions: + +1. What claim is being made? +2. What source proves it? +3. What method produced it? +4. What would make it false? +5. Who could misuse it? + +## Field-Reality Playbook + +Do not ask whether a coverage gap number is impressive. Ask whether it would change a named health ministry's resource allocation decision at a useful time, without creating worse incentives. A coverage gap that only proves "the problem is big" without pointing to a specific allocation lever is not field-ready. diff --git a/problem-packs/public-health/hearing-loss-care-access-global/problem.json b/problem-packs/public-health/hearing-loss-care-access-global/problem.json new file mode 100644 index 0000000..60d3573 --- /dev/null +++ b/problem-packs/public-health/hearing-loss-care-access-global/problem.json @@ -0,0 +1,44 @@ +{ + "id": "public-health/hearing-loss-care-access-global", + "title": "Hearing Loss Care Access And Hearing Aid Coverage Gaps In Low- And Middle-Income Countries", + "status": "scoped", + "domain": ["public-health"], + "region": ["global"], + "summary": "Build a verified evidence base documenting the gap between hearing care need and service coverage in LMICs, with sub-national grain where data permits, to support national health ministries and WHO member states in allocating ear and hearing care resources under NCD budgets.", + "why_it_matters": "WHO estimates 430 million people have disabling hearing loss, 80% in LMICs, with unaddressed hearing loss costing nearly US$1 trillion annually. An annual investment of less than US$1.40 per person could scale ear and hearing care services with a 16:1 return over 10 years. Yet this pack has not identified a standardized, reusable sub-national hearing aid coverage dataset that a health minister could use to target deployment of audiologists, hearing screening programs, or hearing aid provision across LMIC settings. A national health ministry deciding whether to include ear and hearing care in its essential service package needs to know: where is the need concentrated, what is the current coverage gap at sub-national level, and what is the cost-effectiveness of scaling hearing aid provision versus competing NCD interventions. Without verified sub-national coverage data, the allocation decision is easier to defer. This pack exists to make that decision evidence-based rather than evidence-absent.", + "success_metrics": [ + { + "metric": "Evidence traceability", + "target": "Every accepted claim about hearing loss prevalence, coverage gap, or intervention cost-effectiveness links to a dated evidence record with method and limitations.", + "validation_method": "Run schema validation and reviewer spot-checks against evidence.json and evidence.md." + }, + { + "metric": "Sub-national granularity", + "target": "At least three LMICs have documented hearing aid coverage or audiology workforce density data at national or sub-national level with explicit source and method.", + "validation_method": "Reviewer checks each country-level data point for source provenance, data collection method, year, and stated limitations." + }, + { + "metric": "Decision-maker utility", + "target": "The pack names the specific allocation decision, the decision-maker, and the evidence gap that blocks the decision.", + "validation_method": "Field-reality reviewer confirms the named decision is real, the decision-maker is identifiable, and the evidence gap is genuinely what blocks action." + } + ], + "safety_level": "medium", + "canonical_files": [ + "datasets.md", + "evidence.json", + "evidence.md", + "outputs.md", + "playbooks.md", + "problem.json", + "problem.md", + "task-map.md", + "tasks.json", + "validation.md" + ], + "review_policy": { + "required_reviews": 2, + "replication_required": true, + "merge_gate": "Schema validation, domain review, safety review for any operational recommendation about hearing aid deployment or screening program design, and replication for quantitative coverage claims." + } +} diff --git a/problem-packs/public-health/hearing-loss-care-access-global/problem.md b/problem-packs/public-health/hearing-loss-care-access-global/problem.md new file mode 100644 index 0000000..da1e462 --- /dev/null +++ b/problem-packs/public-health/hearing-loss-care-access-global/problem.md @@ -0,0 +1,48 @@ +# Hearing Loss Care Access And Hearing Aid Coverage Gaps In Low- And Middle-Income Countries + +## Problem Statement + +Low- and middle-income countries need a verified evidence base to decide whether and how to include ear and hearing care in national health service packages. WHO has documented the scale (430 million with disabling hearing loss, 80% in LMICs), the economic burden (~US$1 trillion annually), and the cost-effectiveness of intervention ( Which LMICs lack verified sub-national hearing aid coverage and audiology workforce data, and what would filling that gap enable a health ministry to decide? + +## Known Facts + +- Verified fact: WHO reports 430 million people (over 5% of the world's population) require rehabilitation for disabling hearing loss, including 34 million children, and projects 700 million by 2050. (WHO fact sheet, March 2026) +- Verified fact: Nearly 80% of people with disabling hearing loss live in low- and middle-income countries. (WHO fact sheet, March 2026) +- Verified fact: WHO estimates unaddressed hearing loss costs nearly US$1 trillion annually, and that scaling ear and hearing care services requires less than US$1.40 per person per year with a projected 16:1 return over 10 years. (WHO fact sheet, March 2026) +- Verified fact: WHO states nearly 60% of childhood hearing loss is due to avoidable causes, and over 1 billion young adults are at risk of permanent avoidable hearing loss from unsafe listening practices. (WHO fact sheet, March 2026) +- Verified fact: The WHO World Report on Hearing (2021) provides the foundational strategic framework for ear and hearing care as a public health priority, documenting that most countries have not scaled cost-effective hearing interventions. + +## Uncertain Areas + +- Country-level and sub-national hearing aid coverage rates in LMICs. WHO global estimates do not provide this. +- Audiology workforce density (audiologists per million population) in most LMICs. WHO Global Health Observatory data is incomplete for this specialty. +- Whether the WHO cost-effectiveness ratio (16:1 return) holds at country level in specific LMIC contexts. +- How health ministries in LMICs currently prioritize hearing care relative to other NCD interventions. +- Whether national hearing screening programs exist and function in specific LMICs. + +## Initial Scope + +This pack accepts work on: + +- Evidence inventory of global, regional, and country-level hearing loss data sources. +- Dataset availability and quality assessment for hearing aid coverage and audiology workforce. +- Workforce density baselines for at least five LMICs. +- Coverage gap estimation for at least three LMICs. +- Red-team review of how coverage gap data could mislead allocation decisions. +- Field-reality review of whether the evidence would change a real ministry decision. + +This pack does not accept direct clinical guidance, hearing aid brand recommendations, or deployment commands. + +## Done Condition For V0 + +The pack is useful when it can produce one reviewed and replicated sub-national or country-level coverage gap artifact for at least three LMICs, with clear method, explicit limitations, and a field-reality review confirming a named health ministry allocation decision it would inform. + +## Why This Problem Is Under-Attended + +Hearing loss has a large modeled disability burden in the WHO sources cited here, yet receives less obvious policy infrastructure than comparable sensory-health problems. The sibling problem, blindness and vision impairment, has dedicated WHO programs (VISION 2020, Universal Eye Health), global partnerships (IAPB), and substantial funding. Hearing loss has the WHO World Report on Hearing (2021), the World Hearing Forum, and the hearWHO app, but the allocation evidence base is still thin at country and sub-national grain. The result is that hearing care can fall between NCD programs, disability programs, and healthy aging programs, with no single institutional home in many LMIC health ministries. + +The wedge is not more research on hearing loss prevalence -- WHO has modeled that. The wedge is sub-national coverage and workforce data that makes the allocation decision concrete rather than abstract. diff --git a/problem-packs/public-health/hearing-loss-care-access-global/task-map.md b/problem-packs/public-health/hearing-loss-care-access-global/task-map.md new file mode 100644 index 0000000..d391195 --- /dev/null +++ b/problem-packs/public-health/hearing-loss-care-access-global/task-map.md @@ -0,0 +1,27 @@ +# Task Map + +## Active Work Claims + +The machine-readable task list is `tasks.json`. + +## Work Sequence + +```mermaid +flowchart TD + A["Source inventory"] --> B["Workforce density baseline"] + B --> C["Coverage gap estimation"] + C --> D["Red-team allocation framing"] + C --> E["Field reality check"] + D --> F["Reviewed output"] + E --> F +``` + +## Merge Discipline + +Work may happen in parallel, but accepted outputs must preserve this order: + +1. Evidence before estimation. +2. Workforce baseline before coverage gap. +3. Coverage estimate before red-team review. +4. Red-team review before field-facing output. +5. Field-reality review before publication. diff --git a/problem-packs/public-health/hearing-loss-care-access-global/tasks.json b/problem-packs/public-health/hearing-loss-care-access-global/tasks.json new file mode 100644 index 0000000..94d6731 --- /dev/null +++ b/problem-packs/public-health/hearing-loss-care-access-global/tasks.json @@ -0,0 +1,95 @@ +[ + { + "id": "source-inventory", + "problem_id": "public-health/hearing-loss-care-access-global", + "title": "Inventory hearing loss prevalence, coverage, and workforce data sources for LMICs", + "status": "scoped", + "owner_role": "literature-scout", + "outcome": "A dated source inventory separating usable global estimates, country-level data, sub-national data, and rejected sources, with explicit classification reasons for each.", + "inputs": [ + "WHO Deafness and Hearing Loss fact sheet", + "WHO World Report on Hearing (2021)", + "IHME Global Burden of Disease study hearing loss estimates", + "WHO Global Health Observatory country data", + "Published country-level hearing loss surveys and coverage studies" + ], + "expected_artifact": "datasets.md update plus evidence.json records for each accepted source.", + "validation_method": "Reviewer checks each listed source for URL, date, access status, geographic grain, case definition, and stated limitations.", + "reviewer_needed": "domain-reviewer", + "safety_risk": "low", + "done_condition": "At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons covering geographic grain, case definition, data collection method, and temporal coverage." + }, + { + "id": "workforce-density-baseline", + "problem_id": "public-health/hearing-loss-care-access-global", + "title": "Define audiology workforce density baseline for at least five LMICs", + "status": "needs-triage", + "owner_role": "data-cleaner", + "outcome": "A reproducible baseline of audiology workforce density (audiologists per million population) for at least five LMICs, sourced from WHO or national registry data.", + "inputs": [ + "WHO Global Health Observatory health workforce data", + "National audiology association registries", + "Published workforce survey studies" + ], + "expected_artifact": "validation.md update with workforce density table, data sources, and denominator handling.", + "validation_method": "Replicator reruns the workforce density calculation from documented sources and confirms country coverage, denominator source, and missingness handling.", + "reviewer_needed": "replicator", + "safety_risk": "medium", + "done_condition": "At least five LMICs have documented audiology workforce density with explicit source, year, and denominator, or the task documents why each missing country's data is unavailable." + }, + { + "id": "coverage-gap-estimation", + "problem_id": "public-health/hearing-loss-care-access-global", + "title": "Estimate hearing aid coverage gap for at least three LMICs", + "status": "needs-triage", + "owner_role": "implementation-planner", + "outcome": "A ranked estimate of the hearing aid coverage gap (percentage of need met) for at least three LMICs, with explicit method and uncertainty bounds.", + "inputs": [ + "Hearing loss prevalence data", + "Hearing aid market or provision data", + "National health survey data where available", + "Audiology workforce density baseline" + ], + "expected_artifact": "task-map.md and validation.md updates with coverage gap estimates, methods, and uncertainty ranges.", + "validation_method": "Reviewer checks the estimation method, input data quality, uncertainty handling, and whether the gap estimate is reproducible from documented inputs.", + "reviewer_needed": "domain-reviewer", + "safety_risk": "medium", + "done_condition": "At least three LMICs have documented coverage gap estimates with explicit method, input data, and stated uncertainty. Estimates that cannot distinguish coverage from access from demand are rejected." + }, + { + "id": "red-team-allocation-framing", + "problem_id": "public-health/hearing-loss-care-access-global", + "title": "Red-team harmful or misleading interpretations of coverage gap data", + "status": "needs-triage", + "owner_role": "red-team-reviewer", + "outcome": "A failure-mode review identifying how coverage gap rankings could mislead health ministries, distort resource allocation, or stigmatize populations.", + "inputs": [ + "Candidate coverage gap estimates", + "Workforce density baseline", + "WHO hearing care framework" + ], + "expected_artifact": "outputs.md and validation.md linked review note documenting each identified failure mode and its mitigation.", + "validation_method": "Reviewer confirms every high-risk failure mode has a mitigation or blocks publication, then a second reviewer replicates the failure-mode check.", + "reviewer_needed": "red-team-reviewer", + "safety_risk": "high", + "done_condition": "Every coverage gap claim is either blocked, softened to analytic language, or gated behind domain review and replicated red-team review." + }, + { + "id": "field-reality-check", + "problem_id": "public-health/hearing-loss-care-access-global", + "title": "Check whether coverage gap data matches ministry-level allocation decision needs", + "status": "needs-triage", + "owner_role": "field-reality-reviewer", + "outcome": "A field-facing review of whether the proposed coverage gap evidence would change a real health ministry allocation decision responsibly.", + "inputs": [ + "Draft coverage gap estimates", + "WHO ear and hearing care intervention recommendations", + "National health budget allocation context for at least one LMIC" + ], + "expected_artifact": "playbooks.md update with use and non-use guidance for ministry-level decision-makers.", + "validation_method": "Field reviewer identifies the actual decision, decision-maker, timing, and misuse risk for the output, then a second reviewer replicates the non-use-case check.", + "reviewer_needed": "field-reality-reviewer", + "safety_risk": "high", + "done_condition": "The output has a named decision-maker, named allocation decision, explicit non-use cases, and replicated field-reality review before publication." + } +] diff --git a/problem-packs/public-health/hearing-loss-care-access-global/validation.md b/problem-packs/public-health/hearing-loss-care-access-global/validation.md new file mode 100644 index 0000000..803716c --- /dev/null +++ b/problem-packs/public-health/hearing-loss-care-access-global/validation.md @@ -0,0 +1,34 @@ +# Validation + +## Validation Layers + +| Layer | Gate | +| --------------- | -------------------------------------------------------------------- | +| Structure | `pnpm validate` passes schemas and problem-pack completeness checks | +| Evidence | Every claim has a dated evidence record | +| Reproducibility | Quantitative artifacts include rerunnable steps | +| Review | Required reviewer roles approve or request changes | +| Replication | Safety-sensitive or quantitative claims are independently reproduced | + +## Workforce Density Baseline Requirements + +Audiology workforce density baselines must document: + +- Country name and ISO code. +- Number of audiologists or hearing care specialists (with definition). +- Population denominator source and year. +- Density ratio (per million population). +- Source provenance (registry, survey, WHO GHO, or modeled estimate). +- Year of data. +- Known gaps (e.g., private sector exclusion, unregistered practitioners). + +## Coverage Gap Estimation Requirements + +No coverage gap estimate may be called actionable until it includes: + +- Input prevalence data source and threshold used. +- Hearing aid provision or access data source. +- Estimation method (direct measurement, modeled, or proxy). +- Uncertainty bounds or stated confidence interval. +- Explicit statement of what the estimate cannot prove (e.g., cannot distinguish unmet need from low demand). +- Replication status. diff --git a/tasks-available.json b/tasks-available.json index 4df6596..1e3a31a 100644 --- a/tasks-available.json +++ b/tasks-available.json @@ -2,18 +2,18 @@ "summary": { "generated_by": "scripts/generate-task-index.mjs", "schema_version": 1, - "total_packs": 107, - "total_scoped_tasks": 100, + "total_packs": 108, + "total_scoped_tasks": 101, "by_role": { - "literature-scout": 100 + "literature-scout": 101 }, "by_risk": { "medium": 96, - "low": 4 + "low": 5 }, "by_domain": { "air-quality": 6, - "public-health": 63, + "public-health": 64, "climate-health": 13, "biodiversity": 7, "food-security": 18, @@ -1115,6 +1115,23 @@ "tasks_file": "problem-packs/public-health/health-workforce-density-global/tasks.json", "problem_file": "problem-packs/public-health/health-workforce-density-global/problem.md" }, + { + "pack_id": "public-health/hearing-loss-care-access-global", + "pack_title": "Hearing Loss Care Access And Hearing Aid Coverage Gaps In Low- And Middle-Income Countries", + "pack_status": "scoped", + "domain": ["public-health"], + "region": ["global"], + "task_id": "source-inventory", + "title": "Inventory hearing loss prevalence, coverage, and workforce data sources for LMICs", + "owner_role": "literature-scout", + "reviewer_needed": "domain-reviewer", + "safety_risk": "low", + "outcome": "A dated source inventory separating usable global estimates, country-level data, sub-national data, and rejected sources, with explicit classification reasons for each.", + "expected_artifact": "datasets.md update plus evidence.json records for each accepted source.", + "done_condition": "At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons covering geographic grain, case definition, data collection method, and temporal coverage.", + "tasks_file": "problem-packs/public-health/hearing-loss-care-access-global/tasks.json", + "problem_file": "problem-packs/public-health/hearing-loss-care-access-global/problem.md" + }, { "pack_id": "public-health/hiv-treatment-cascade-global", "pack_title": "HIV Treatment Cascade Gaps And 95-95-95 Target Tracking In Sub-Saharan Africa",