A first step towards transparency in pricing of medicines and scheduled substances – publication of guidelines for pharmaco-economic submissions
Bibliographic record
Abstract
The National Department of Health of South Africa recently published guidelines for pharmaco-economic (PE) submissions in accordance with the Medicines and Related Substances Act (Act 101 of 1965), which came into effect on 1 April 2013. These guidelines relate to the compilation of PE submissions for evidence of cost-effectiveness of medicine or scheduled substances. The PE guidelines are a first step towards the creation of a mechanism whereby the value of medicine can be quantified in a transparent manner. The 'voluntary' nature of PE submissions speaks to the current lack of knowledge, understanding and capacity related to pharmaco-economics that exists in the private healthcare market. The current disconnect between the PE guidelines and the Medical Schemes Act should be addressed as a matter of urgency to provide a mechanism whereby guidance in terms of cost-effectiveness from a PE evaluation will be supported by guaranteed reimbursement by medical schemes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".