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Record W2396932950

[Mechanism and implication of regulation of the pricing of essential medicines in the private pharmaceutical sector in Mali].

2010· article· en· W2396932950 on OpenAlexaff
Diadié Maïga, Sekou Maiga, Maïga

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsRestructuringPrivate sectorGovernment (linguistics)Public sectorContext (archaeology)Pharmaceutical industryBusinessDistribution (mathematics)Public policyPublic economicsEconomicsFinanceEconomic growthMedicine
DOInot available

Abstract

fetched live from OpenAlex

The healthcare and pharmaceutical professions in Mali were privatized in 1985. Privatization led to swift expansion of the private sector and upset the balance that had existed between the public and private sectors. A national pharmaceutical policy did not emerge until a decade later. Its purpose was to promote a system ensuring fair access to essential generic medicines for all. It was hoped that synergy between the two sectors would promote that objective. However, the policy calling for distribution of essential generic medicine through the private sector was not accompanied by an adequate system for pricing. This problem led the government to adopt a price regulation policy to realign market dynamics with public health goals. This experience shows that a sustained effort from public policy makers is necessary to prevail against the professional and business interests that can conflict with the public interest. Analysis of this experience also demonstrates the need to improve, restructure, and control the pharmaceutical industry. The government must continue to play its crucial role in the context of limited resources and inequality between consumers and pharmaceutical companies.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.169

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)0.0000.000

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 head0.044
GPT teacher head0.274
Teacher spread0.230 · 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 designObservational
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

Citations6
Published2010
Admission routes1
Has abstractyes

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