Development of a systematic approach to pharmaceutical industry’s patient assistance programs on accessing unfunded cancer drugs
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 New oncology drugs usually become commercially available several months before the funding decisions are made by provincial public payers. Increasingly, patient assistance programs are being set up by pharmaceutical companies in order to facilitate access of their new cancer drugs before public funding decisions are finalized. We discovered that there is a need to keep this information up to date and available in a central repository, thus we have created a centralized patient assistance chart for use by all who require information on accessing unfunded drugs in our province. Methodology The project was carried out at a publicly funded provincial cancer care organization that oversees parenteral and oral chemotherapy treatments across our province. The drug information pharmacist at this organization developed a method of scoping information on upcoming therapies by reviewing a series of recommendations made by various organizations that review oncology treatments. A standard process was developed for including information on the patient assistance chart that is available on the organizations website. Results As of May 2016, the repository contains information on 47 patient assistance programs involving 24 unfunded antineoplastic drugs for various indications. This compared to (7) when it was maintained by a single centre in 2004 and 10 when the process was first centralized in 2009. Conclusion The benefit of patient assistance program availability allows patients to access medications when provincial funding is not available. A standardized approach and methodology to evaluating information was established by our drug information pharmacist; thus allowing for a consistent approach to dissemination of information on assessing unfunded cancer drugs in our province.
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.
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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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 it