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Record W4402854708 · doi:10.2471/blt.24.292359

WHO Model list of essential medicines: visions for the future

2024· article· en· W4402854708 on OpenAlexaff
Thomas Piggott, Lorenzo Moja, Benedikt Huttner, Patrick Okwen, Mario Raviǵlione, Tamara Kredo, Holger J. Schünemann

Bibliographic record

VenueBulletin of the World Health Organization · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsMcMaster UniversityImpact
FundersWorld Health Organization
KeywordsVisionMedicineData scienceComputer scienceSociology

Abstract

fetched live from OpenAlex

contained 186 medicines in 1977 and has evolved to include 502 medicines in 2023. Over time, different articles criticized the methods and process for decisions; however, the list holds global relevance as a model list to over 150 national lists. Given the global use of the model list, reflecting on its future role is imperative to understand how the list should evolve and respond to the needs of Member States. In 2023, the model list Expert Committee recommended the World Health Organization (WHO) to initiate a process to revise the procedures for updating the model list and the criteria guiding decisions. Here, we offer an agenda outlining priority areas and a vision for an authoritative model list. The main areas include improving transparency and trustworthiness of the recommendations; strengthening connection to national lists; and continuing the debate on the principles that should guide the model list, in particular the role of cost and price of essential medicines. These reflections are intended to support efforts ensuring the continued impact of this policy tool.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

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

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 head0.025
GPT teacher head0.305
Teacher spread0.280 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations23
Published2024
Admission routes1
Has abstractyes

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