Continuous Pharmaceutical Consultation Regarding Chemotherapy Combined with TS-1 in Outpatient Oncology Unit: Establishment of Patient Education System and Active Provision of Pharmaceutical Care
Bibliographic record
Abstract
TS-1 is an oral anticancer agent used for a variety of cancers.In the clinical setting,many patients take TS-1 concomitantly with intravenous anticancer agents in several different regimens.In November,2006,we started giving consultation to outpatients taking TS-1 and undergoing chemotherapy concomitantly and providing continuous pharmaceutical care to enhance safety in their treatment.We made a consultation sheet for each patient and managed the administration schedule using a TS-1 check sheet and stickers for patient notebooks,which were used on each visit.From November,2006 to April,2007,we provided 482 consultations to 85 patients taking TS-1.As a result of pharmacists checking administration schedules and compliance at every visit to the outpatient oncology unit,no errors were made in the administration period of TS-1 for any patient.Pharmacists advised patients not only concerning administration schedules and dosages of TS-1,but also about opium and other concomitantly administered medications.The creation of the TS-1 check sheet has enabled pharmaceutical consultation to be standardized so every pharmacist can offer similar pharmaceutical consultation to each patient.Two-hundred-and-thirty-eight questions asked concerned anticancer agents (42%),medications other than anticancer agents (41%),opium (9%),and others (8%).Also,in 93 instances,pharmacists asked doctors to prescribe medications to prevent or reduce adverse effects that patients complained of and 96.8 % of such requests were reflected in prescriptions.In conclusion,it is effective for pharmacists to provide continuous consultation to patients who are taking TS-1 and visiting the Outpatient Oncology Unit,and such consultation enables patients to participate in ensuring that their outpatient chemotherapy is both safe and effective.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".