MétaCan
Menu
Back to cohort
Record W1839661185 · doi:10.1684/san.2009.0161

Débats et défis autour de la gratuité des soins en Afrique: «retour vers le futur»?

2009· article· fr· W1839661185 on OpenAlexaff
Valéry Ridde, Karl Blanchet

Bibliographic record

VenueCahiers de Santé · 2009
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicHealthcare Systems and Reforms
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPaymentTemptationPolitical sciencePublic healthHealth careWelfare economicsBusinessPublic administrationNursingMedicineEconomicsLawPsychologyFinance

Abstract

fetched live from OpenAlex

In its 2008 annual report, WHO affirmed the importance of resisting the temptation to depend on direct payment for primary health care. Members of the WHO committee on the social determinants of health as well as of those at the conference on primary health care in Ouagadougou in 2008 reaffirmed the need to make access to health care systems more equitable. Several decades after imposition of direct payment began, convincing data clearly demonstrate its harmful effects on the basic fairness of access to care. Accordingly, the current debate in the field of financial support for health involves the elimination of payments. More precisely, we can finally say that this is a debate about a return to the free care that existed before the widespread implementation of "cost recovery" systems. Here we want to review these discussions and prepare the ground for a debate on possible effective strategies for making health care systems more equitable from the perspective of universal coverage. We will thus note that analyses today must certainly focus more on how to eliminate direct payments than on the reasons to do so, already amply demonstrated. The international community must now undertake to support governments that want to move in this direction and ensure that the process is thoroughly documented so that it can also produce useful knowledge for the formulation of fair public policies.

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)0.004
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.012
GPT teacher head0.262
Teacher spread0.251 · 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 designTheoretical or conceptual
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

Citations7
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueCahiers de SantéSame topicHealthcare Systems and ReformsFrench-language works237,207