Rare diseases in Italy: analysis of the costs and pharmacotherapy.
Bibliographic record
Abstract
Purpose of this research was to analyse the rare diseases drug supply paths in the Italian region of Campania (Health District 47 of the Local Medical Company Naples 1), with a particular focus on current regulations in this field, and quantify the economic incidence of such pathologies in each quarter of 2007 and 2008. Rare, or orphan, diseases are especially serious and onerous from every point of view. Patients meet significant difficulties in obtaining information and in identifying the most appropriate treatment path within the health care system. Pharmaceutical prescriptions were analysed in order to identify the number of patients for each pathology in each quarter of the years 2007 and 2008, the drugs used, the quantity of each drug, and the costs for treatments. Data show a significant increase of costs during each quarter of the year 2008, as well as from 2007 to 2008. In the absence of specific guidelines for the Campania Region, the Local Medical Company of Naples 1 has established a procedure for patients affected by rare diseases that enables them to receive at no cost products that otherwise would not be distributed for free by the health care system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".