Zulassung und Erstattung von Orphan Drugs im internationalen Vergleich
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: This paper analyses schemes to promote the authorisation of and reimbursement for orphan drugs. METHODS: 8 countries - Australia, Canada, Germany, Great Britain, France, Netherlands, Switzerland, USA - were studied to compare specific regulations for orphan drugs regarding drug admission, health technology assessment (HTA), decision-making for reimbursement, and off-label and compassionate use. Information was obtained by reviewing published and grey literature. Expert interviews were also conducted. RESULTS: The comparison of orphan drug legislation reveals that the EU and the USA offer the greatest incentives for the development of orphan drugs, whereas there is a tendency for Australia and Switzerland to profit from incentives in other countries. Although not explicitly stated, economic evaluation of orphan drugs takes the special circumstances for orphan drugs into account. In addition to common reimbursement practices, special schemes or programmes for the reimbursement of high-priced orphan drugs exist in all countries that were analysed. Therefore access to orphan drugs seems to be warranted. However, due to co-payments of 5%, the USA may form an exception. CONCLUSION: On the one hand, the use of special criteria for drug admission, HTA, and reimbursement promotes R&D for orphan drugs. On the other hand, high opportunity costs arise, because huge efforts are made for a minority of patients. A solution for this moral dilemma may be the application of "rule of rescue" or of "no cure, no pay" programmes.
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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 | 0.027 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.078 |
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 it