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Record W2963659906 · doi:10.7189/jogh.09.020101

Lessons from the integrated community case management (iCCM) Rapid Access Expansion Program

2019· editorial· en· W2963659906 on OpenAlexaboutno aff
Salim Sadruddin, Franco Pagnoni, Gunther Baugh

Bibliographic record

VenueJournal of Global Health · 2019
Typeeditorial
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsnot available
FundersWorld Health Organization
KeywordsMalariaReferralGovernment (linguistics)DocumentationCase managementScale (ratio)MedicineCommunity health workersEnvironmental healthFamily medicineNursingHealth servicesGeographyComputer sciencePopulationImmunology

Abstract

fetched live from OpenAlex

In 2012, the Government of Canada awarded a grant to the World Health Organization's Global Malaria Programme (GMP) to support the scale-up of integrated community case management (iCCM) of pneumonia, diarrhoea and malaria among children under 5 in sub-Saharan Africa under the Rapid Access Expansion Programme (RAcE). The two main objectives of the programme were to: (1) Contribute to the reduction of child mortality due to malaria, pneumonia and diarrhoea by increasing access to diagnostics, treatment and referral services, and (1) Stimulate policy updates in participating countries and catalyze scale-up of integrated community case management (iCCM) through documentation and dissemination of best practices. Based on the results of the implementation research and programmatic lessons, this collection provides evidence on impact and improving coverage of iCCM in routine health systems, and opportunities and challenges of implementing and sustaining delivery of iCCM at scale.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.081
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.428
Teacher spread0.386 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2019
Admission routes1
Has abstractyes

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