diff --git a/agent-radar.json b/agent-radar.json index 7e3e7ee..a211957 100644 --- a/agent-radar.json +++ b/agent-radar.json @@ -4,12 +4,12 @@ "schema_version": 1, "total_packs": 108, "total_tasks": 559, - "scoped_tasks": 101, - "latent_tasks": 458, + "scoped_tasks": 100, + "latent_tasks": 459, "status_counts": { - "scoped": 101, + "scoped": 100, "needs-triage": 451, - "needs-review": 7 + "needs-review": 8 }, "owner_role_counts": { "literature-scout": 108, @@ -19,7 +19,7 @@ "field-reality-reviewer": 109 }, "scoped_role_counts": { - "literature-scout": 101 + "literature-scout": 100 }, "reviewer_needed_counts": { "domain-reviewer": 231, @@ -37,22 +37,6 @@ "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", @@ -228,6 +212,22 @@ "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": [ @@ -657,21 +657,21 @@ "scoped_tasks": 0, "latent_tasks": 130, "share_of_all_tasks": 0.233, - "share_of_latent_tasks": 0.284 + "share_of_latent_tasks": 0.283 }, { "owner_role": "field-reality-reviewer", "scoped_tasks": 0, "latent_tasks": 109, "share_of_all_tasks": 0.195, - "share_of_latent_tasks": 0.238 + "share_of_latent_tasks": 0.237 }, { "owner_role": "red-team-reviewer", "scoped_tasks": 0, "latent_tasks": 108, "share_of_all_tasks": 0.193, - "share_of_latent_tasks": 0.236 + "share_of_latent_tasks": 0.235 }, { "owner_role": "data-cleaner", @@ -682,10 +682,10 @@ }, { "owner_role": "literature-scout", - "scoped_tasks": 101, - "latent_tasks": 7, + "scoped_tasks": 100, + "latent_tasks": 8, "share_of_all_tasks": 0.193, - "share_of_latent_tasks": 0.015 + "share_of_latent_tasks": 0.017 } ] } diff --git a/docs/wiki/Agent-Radar.md b/docs/wiki/Agent-Radar.md index 4fcac07..ac34c53 100644 --- a/docs/wiki/Agent-Radar.md +++ b/docs/wiki/Agent-Radar.md @@ -15,8 +15,8 @@ Without routing, a new agent sees a flat task list and misses the actual shape o - **108 problem packs** - **559 total tasks** -- **101 scoped now** -- **458 follow-on tasks still latent** +- **100 scoped now** +- **459 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 @@ -25,19 +25,7 @@ Without routing, a new agent sees a flat task list and misses the actual shape o 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. 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 +### 1. 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 @@ -49,7 +37,7 @@ 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. -### 3. Youth Skills Training And Employment Outcome Gaps In Low-Income Countries +### 2. 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 @@ -61,7 +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 provider-data fragmentation, outcome-tracking rates, and informal-sector measurement gaps. -### 4. Obstetric Fistula Repair Backlog And Prevention Access In High-Burden Countries +### 3. 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 @@ -73,7 +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 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. -### 5. Stillbirth Measurement Gaps And Intrapartum Care Quality In High-Burden Countries +### 4. 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 @@ -85,7 +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 definition threshold, measure family, time reference, geographic grain, and relevance to intrapartum versus counting-system interpretation. -### 6. Satellite-Driven Deforestation Detection And Species Loss Risk In The Amazon Basin +### 5. 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 @@ -97,7 +85,7 @@ These are the best entry tasks for a fresh contributor. Ranking favors lower-ris - Why pick now: Completing this scoped task opens 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. Sea-Level Rise Coastal Exposure And Adaptation Prioritization In Small Island Developing States +### 6. 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 @@ -109,7 +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. -### 8. Cyclone Early Warning And Evacuation Signal Verification In Bangladesh +### 7. 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 @@ -121,7 +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 3 additional roles. - Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons. -### 9. PM2.5 Monitoring Gaps And Health Impact In South Asia +### 8. 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 @@ -133,7 +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 4 additional roles. - Done condition: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons. -### 10. Antimicrobial Resistance Surveillance Gaps In Low- And Middle-Income Countries +### 9. 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 @@ -145,7 +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: Five sources classified as usable, limited, or rejected. -### 11. Malaria Early Warning Signals In Sub-Saharan Africa +### 10. 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 @@ -157,7 +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: At least five candidate data sources are classified as usable, limited, or rejected with explicit reasons. -### 12. Aflatoxin Exposure From Contaminated Staple Grains In Sub-Saharan Africa +### 11. 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 @@ -169,6 +157,18 @@ 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 | 130 | 0.233 | 0.284 | -| `field-reality-reviewer` | 0 | 109 | 0.195 | 0.238 | -| `red-team-reviewer` | 0 | 108 | 0.193 | 0.236 | +| `implementation-planner` | 0 | 130 | 0.233 | 0.283 | +| `field-reality-reviewer` | 0 | 109 | 0.195 | 0.237 | +| `red-team-reviewer` | 0 | 108 | 0.193 | 0.235 | | `data-cleaner` | 0 | 104 | 0.186 | 0.227 | -| `literature-scout` | 101 | 7 | 0.193 | 0.015 | +| `literature-scout` | 100 | 8 | 0.193 | 0.017 | ## Protocol Alerts diff --git a/docs/wiki/Index.md b/docs/wiki/Index.md index d016f2e..53c2e77 100644 --- a/docs/wiki/Index.md +++ b/docs/wiki/Index.md @@ -9,9 +9,9 @@ | Total packs | 108 | | Packs with claims | 13 | | Packs with accepted claims | 0 | -| Total evidence records | 350 | +| Total evidence records | 354 | | Total tasks | 559 | -| Scoped tasks (ready for work) | 101 | +| Scoped tasks (ready for work) | 100 | | High-risk tasks | 290 | ## All Problem Packs @@ -86,7 +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/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 | 9 ev; 5 tasks | needs triage | | [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/problem-packs/public-health/hearing-loss-care-access-global/datasets.md b/problem-packs/public-health/hearing-loss-care-access-global/datasets.md index d5eda5b..d332085 100644 --- a/problem-packs/public-health/hearing-loss-care-access-global/datasets.md +++ b/problem-packs/public-health/hearing-loss-care-access-global/datasets.md @@ -2,14 +2,36 @@ ## 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 | +| Source family | Measure and case definition | Method and timing | Grain | Status | Use | Why it belongs in this class | +| -------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| WHO deafness and hearing loss fact sheet | Disabling hearing loss uses the WHO threshold of greater than 35 dB in the better-hearing ear; also reports global burden and investment estimates | WHO synthesis, updated March 2026 | Global | Limited | Scale and tractability framing | It cannot identify hearing-aid coverage, service availability, or workforce density for a country or district. | +| WHO World Report on Hearing | Hearing-loss burden, integrated care framework, intervention and economic evidence | Strategic evidence synthesis published in 2021 | Global with selected country examples | Limited | Taxonomy, policy context, and source discovery | It is not a standardized country or sub-national coverage dataset, and country examples do not share one collection method. | +| GBD 2019 hearing loss study | Better-ear pure-tone average across 0.5, 1, 2, and 4 kHz; mild hearing loss is 20-34 dB and moderate-to-complete hearing loss is at least 35 dB | Bayesian meta-regression using 215 survey sources from 77 countries; estimates cover 1990-2019 | Global, regional, national, age, and sex estimates | Usable for modeled prevalence; limited for coverage | Burden baseline and uncertainty-aware denominator candidates | It standardizes audiometric thresholds, but prevalence is modeled outside observed locations. Its hearing-aid coverage model used 100 sources from only 44 countries and had almost no sources in Asia, North Africa, or Central Africa. | +| Ear and Hearing Care Workforce study | Counts and densities for otolaryngologists, audiologists, speech and language therapists, and teachers of the deaf | Six-source synthesis published in 2021; availability covered audiologists in 102 countries | National, then regional and income-group summaries | Usable with provenance check | Candidate audiology workforce baseline | It is the broadest identified audiologist source, but values combine literature, WHO platforms, surveys, consultations, organizations, and government statistics. Each country value still needs its original source and year before reuse. | +| WHO Assistive Technology Data Portal progress indicators | Official country response on whether hearing-related services and human resources exist; service coverage is categorized as total, partial, none, or no information | Government survey collected in 2021 and published through GHO | Country; hearing-service coverage refers to districts but the public value is categorical | Usable for system-capacity screening; limited for density | Identify countries with reported hearing-service or workforce presence and explicit missingness | The hearing domain is separable, but the data do not count audiologists, measure competence, or prove that a person can obtain a hearing aid. Official self-report is not independent verification. | +| WHO rATA population access indicators | Self-reported need, use, met need, barriers, and satisfaction for assistive products | Population surveys collected from 2019 to 2021; national or sub-national representativeness varies by implementation | Country with age, sex, and residence disaggregation | Limited; hearing-aid product rows not exposed in the current public endpoint | Total assistive-product access context and a future hearing-aid coverage measurement path | The public GHO endpoint returned only total-product categories for met need on 15 July 2026, not hearing-aid-specific rows. Total assistive-product access must not be relabeled as hearing-aid coverage. | +| WHO 2013 multi-country hearing-care capacity assessment | National hearing-care services, professionals, devices, and training capacity | Ministry questionnaire; 76 of 154 invited Member States responded, with supplemental information for 19 countries | National, summarized by income group and WHO region | Limited historical baseline | Source discovery and decay comparison | The data are from 2012, response was incomplete, and national self-report cannot establish current service coverage or workforce density. | +| UNICEF/Washington Group Child Functioning Module in MICS | Caregiver-reported functional difficulty with hearing among children aged 2-17, using graded response categories | Standardized module finalized in 2016 and used in household surveys; survey years vary by country | National and sometimes sub-national for participating surveys | Limited | Child functional-difficulty triangulation | It measures functional difficulty, not pure-tone threshold, clinical diagnosis, hearing-aid need, hearing-aid use, or audiology workforce. It cannot be pooled with GBD audiometric prevalence without a bridge study. | +| Hearing-aid sales and market reports | Units sold, revenue, or market forecasts; need and eligibility are usually undefined | Proprietary industry methods and commercial reporting periods | Global or regional market | Rejected for coverage analysis | Lead generation only | Sales are not unique users, fitting quality, continued use, met need, or equitable access. Opaque denominators and methods make the implied coverage rate unrecoverable. | + +## Classification Notes + +### Usable With Boundaries + +- **GBD 2019 hearing loss study**: use for modeled prevalence with the study's pure-tone thresholds and uncertainty intervals. Do not treat modeled location estimates as observed surveys or its hearing-aid model as current country coverage. +- **Ear and Hearing Care Workforce study**: use to locate country-level audiologist estimates and provenance gaps. Do not copy a density into a baseline until its underlying source, cadre definition, numerator year, and denominator year are recovered. +- **WHO Assistive Technology Data Portal progress indicators**: use to screen reported hearing-service and hearing-workforce availability and to preserve `Information not available` as data. Do not convert categorical presence into headcounts or effective access. + +### Limited + +- **WHO fact sheet and World Report on Hearing**: use for burden, thresholds, intervention taxonomy, and policy context, not for country coverage. +- **WHO rATA population access indicators**: use total-product results only as assistive-technology context. The public endpoint did not expose hearing-aid-specific met-need rows on the access date. +- **WHO 2013 capacity assessment**: use as a historical source map, not a current ranking input. +- **UNICEF/Washington Group Child Functioning Module**: use as a distinct child functional-difficulty measure. Keep it separate from audiometric prevalence and device coverage. + +### Rejected + +- **Hearing-aid sales and market reports**: reject as coverage evidence unless a source exposes unique-user counts, the eligible population, fitting and continued-use rules, geography, timing, and a reproducible method. ## Required Dataset Properties @@ -23,8 +45,16 @@ ## 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. +A dataset is rejected for canonical claims if geographic grain, case definition, data collection method, or year cannot be verified. A source is also rejected if it silently substitutes functional difficulty for audiometric loss, service presence for effective access, product sales for users, or total assistive-product access for hearing-aid coverage. ## 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. +This inventory did not identify a standardized, public, sub-national hearing-aid coverage dataset spanning LMICs. The strongest available sources answer adjacent questions: GBD models need, the workforce study estimates professional availability, and WHO progress indicators report categorical system capacity. None proves effective hearing-aid coverage. + +Country-level audiology workforce density remains the most tractable next artifact, but it is a capacity proxy rather than an access measure. The next task should fail any country row whose audiologist definition, numerator source and year, population denominator and year, or missingness status cannot be reproduced. + +## Task Verdict + +This inventory satisfies the scoped `source-inventory` done condition. It classifies nine source families and states, for each, the geographic grain, case or measure definition, collection method, temporal coverage, and reason for use, limitation, or rejection. + +It does **not** satisfy the workforce-density or coverage-gap tasks. Those tasks remain blocked on country-level provenance and on a hearing-aid-specific access measure that is not interchangeable with total assistive-technology access. 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 index 784c24a..1809999 100644 --- a/problem-packs/public-health/hearing-loss-care-access-global/evidence.json +++ b/problem-packs/public-health/hearing-loss-care-access-global/evidence.json @@ -94,5 +94,85 @@ "Both figures are WHO estimates and would benefit from triangulation against country-level data." ], "confidence": "medium" + }, + { + "id": "gbd-hearing-loss-prevalence-2019", + "problem_id": "public-health/hearing-loss-care-access-global", + "claim": "The GBD 2019 hearing loss analysis modeled audiometric prevalence from 215 survey sources in 77 countries, while its hearing-aid coverage model used 100 sources from 44 countries and had almost no coverage sources in Asia, North Africa, or Central Africa.", + "evidence_type": "peer-reviewed-study", + "source": { + "title": "Hearing loss prevalence and years lived with disability, 1990-2019: findings from the Global Burden of Disease Study 2019", + "url": "https://doi.org/10.1016/S0140-6736(21)00516-X", + "doi": "10.1016/S0140-6736(21)00516-X" + }, + "source_date": "2021-03-13", + "access_date": "2026-07-15", + "method": "Reviewed the open-access methods, source-coverage counts, hearing-threshold table, modeling steps, and limitations. Separated the better-ear pure-tone prevalence model from the much sparser hearing-aid coverage model.", + "limitations": [ + "The study uses Bayesian meta-regression to estimate locations without direct survey observations, so a country estimate is not proof of a country survey.", + "Prevalence inputs excluded self-report and required population-representative pure-tone audiometry, while the proposed pack coverage question concerns device access and use.", + "The paper reports that hearing-aid coverage data were particularly sparse and lacked severity-specific observations outside high-income countries." + ], + "confidence": "high" + }, + { + "id": "who-ear-hearing-care-workforce-2021", + "problem_id": "public-health/hearing-loss-care-access-global", + "claim": "A 2021 WHO-authored workforce study assembled audiologist availability data for 102 countries from six source families and found that most countries in the WHO African Region had fewer than one professional per million in each ear and hearing care cadre assessed.", + "evidence_type": "peer-reviewed-study", + "source": { + "title": "Ear and Hearing Care Workforce: Current Status and its Implications", + "url": "https://doi.org/10.1097/AUD.0000000000001007", + "doi": "10.1097/AUD.0000000000001007" + }, + "source_date": "2021-01-21", + "access_date": "2026-07-15", + "method": "Reviewed the PubMed methods and results and verified publication metadata through Crossref. Recorded the six-source design, country counts by cadre, and the African Region density result without treating the synthesis as a live registry.", + "limitations": [ + "The study combines a literature review, WHO platforms, Member State responses, regional consultations, hearing-care organization responses, and official statistics; country values do not share one provenance or reference year.", + "Audiologist titles, scopes of practice, registration systems, and inclusion of private-sector workers vary across countries.", + "A national workforce count does not establish sub-national distribution, effective service capacity, hearing-aid availability, or patient access." + ], + "confidence": "high" + }, + { + "id": "who-assistive-tech-hearing-capacity-2021", + "problem_id": "public-health/hearing-loss-care-access-global", + "claim": "WHO's Assistive Technology Data Portal publishes 2021 official country responses that separately classify hearing-related service coverage and hearing-related workforce availability, but the public measures are categorical rather than audiologist counts or effective-access rates.", + "evidence_type": "dataset", + "source": { + "title": "WHO Global Health Observatory: Assistive technology data portal", + "url": "https://www.who.int/data/gho/data/themes/assistivetech" + }, + "source_date": "2021-12-31", + "access_date": "2026-07-15", + "method": "Reviewed the portal metadata and queried the GHO OData endpoints ASSISTIVETECH_Q05 and ASSISTIVETECH_Q06 plus the ASSISTIVETECHSUBQUESTION dimension dictionary. Confirmed distinct codes for services related to hearing and human resources for hearing.", + "limitations": [ + "The source date records the end of the documented 2021 collection window, not a fixed portal release; the live portal can change and should be rechecked.", + "The progress indicators are official country self-reports rather than independently audited facility or workforce records.", + "Service coverage is reduced to total, partial, none, or information not available, which discards the underlying district count in the public value.", + "Workforce availability is categorical and cannot support an audiologists-per-million calculation or prove worker competence, distribution, or availability to patients." + ], + "confidence": "high" + }, + { + "id": "who-rata-hearing-aid-coverage-gap-2021", + "problem_id": "public-health/hearing-loss-care-access-global", + "claim": "As accessed on 15 July 2026, WHO's public GHO met-need endpoint for rapid Assistive Technology Assessment data exposed only total assistive-product categories and no hearing-aid-specific records, so it could not support a hearing-aid coverage estimate.", + "evidence_type": "negative-result", + "source": { + "title": "WHO Global Health Observatory: Prevalence of met need of assistive products", + "url": "https://ghoapi.azureedge.net/api/ASSISTIVETECH_METNEED" + }, + "source_date": "2021-12-31", + "access_date": "2026-07-15", + "method": "Fetched all records from the ASSISTIVETECH_METNEED OData endpoint, enumerated unique ASSISTIVETECHPRODUCT dimension values, and compared them with the GHO dimension dictionary. The data contained only ASSISTIVETECH_TOTAL and ASSISTIVETECH_TOTAL_NOSPECS; filtering for ASSISTIVETECH_Hearingaids returned zero rows.", + "limitations": [ + "The source date records the end of the documented 2021 collection window, not a fixed API release date.", + "This is a time-bounded result for the public API and must be rerun if WHO republishes product-level rows.", + "The absence of hearing-aid-specific rows in this endpoint does not prove that WHO or participating countries hold no non-public product-level data.", + "Total assistive-product met need combines unlike products and cannot be interpreted as hearing-aid met need." + ], + "confidence": "high" } ] 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 index 4017aa4..0af6bde 100644 --- a/problem-packs/public-health/hearing-loss-care-access-global/evidence.md +++ b/problem-packs/public-health/hearing-loss-care-access-global/evidence.md @@ -18,6 +18,26 @@ The strategic framework document. 252 pages synthesizing evidence on hearing los 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. +### GBD 2019 Hearing Loss Study + +This is the strongest identified source for comparable modeled prevalence because it defines hearing loss using better-ear pure-tone averages and carries uncertainty through the model. It is weaker for coverage. The model drew hearing-aid coverage inputs from 44 countries and the authors explicitly report severe regional sparsity. Use it to define need and expose uncertainty, not to claim observed country coverage. + +### Ear And Hearing Care Workforce Study + +The 2021 WHO-authored study is the most direct identified route to audiologist availability, covering 102 countries. It is a provenance map, not a finished baseline: six input families, different country reference years, and heterogeneous professional definitions mean that every country row needs source recovery before reuse. + +### WHO Assistive Technology Progress Indicators + +The 2021 GHO data distinguish hearing-related services and hearing-related human resources. That makes them useful for screening and for preserving explicit missingness. Their values remain official country responses and categorical capacity signals. They cannot be converted into audiologists per million or effective hearing-aid access. + +### rATA Product-Level Negative Result + +The public GHO met-need endpoint was queried on 15 July 2026. Although the dimension dictionary defines digital hearing aids and batteries as a product category, the endpoint exposed only total assistive-product categories. A hearing-aid filter returned zero rows. This blocks a hearing-aid coverage estimate from that endpoint and prevents the common error of relabeling total assistive-technology access as hearing-aid access. + ## 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. +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 inventory now separates four incompatible measure families: audiometric need, professional availability, categorical system capacity, and product access. None may substitute for another. + +## Suggested Next Issue + +Review `source-inventory` before starting the workforce baseline. The reviewer should verify the GBD source counts, the workforce study's mixed provenance, the GHO hearing-domain codes, and the rATA zero-row query. Only then should a data cleaner recover country-level audiologist numerator sources and matched population denominators. 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 index 94d6731..927a4ec 100644 --- a/problem-packs/public-health/hearing-loss-care-access-global/tasks.json +++ b/problem-packs/public-health/hearing-loss-care-access-global/tasks.json @@ -3,7 +3,7 @@ "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", + "status": "needs-review", "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": [ @@ -14,7 +14,7 @@ "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.", + "validation_method": "Reviewer checks each source for URL, date, access status, geographic grain, measure definition, collection method, temporal coverage, and limitations, then reproduces the rATA hearing-aid product filter.", "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." diff --git a/tasks-available.json b/tasks-available.json index 1e3a31a..f71f58f 100644 --- a/tasks-available.json +++ b/tasks-available.json @@ -3,17 +3,17 @@ "generated_by": "scripts/generate-task-index.mjs", "schema_version": 1, "total_packs": 108, - "total_scoped_tasks": 101, + "total_scoped_tasks": 100, "by_role": { - "literature-scout": 101 + "literature-scout": 100 }, "by_risk": { "medium": 96, - "low": 5 + "low": 4 }, "by_domain": { "air-quality": 6, - "public-health": 64, + "public-health": 63, "climate-health": 13, "biodiversity": 7, "food-security": 18, @@ -1115,23 +1115,6 @@ "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",