Bibliographic record
Abstract
We would like to thank Drs. Tsuyuki and Davies1 for their recent editorial about self-denigrating terms used in pharmacy. Below we suggest additional terms that should be removed from the pharmacy lexicon. Dispensing fee. Dispensing, in itself, is a technical task. It is understandable that patients may shop around for the lowest fee if they believe it is simply a matter of lick-stick-pour. What this term ignores is the cognitive aspect of dispensing, where drug therapy problems are identified and managed. Patients are paying for this professional service, so let’s call it what it is—a professional fee. Better yet, when patients inquire about the pharmacy’s fee, we can use the opportunity to inform them about the services that fee covers beyond dispensing. “Extending” a prescription or “loaning” tablets. When a pharmacist renews a prescription, he or she takes professional and legal responsibility for that action based on an assessment of its appropriateness. This is not simply a passive extension of another prescriber’s order but an independent therapeutic decision that occurs after assessing a patient. In other words, it is prescribing. Since pharmacist adaptations and renewals must be documented in writing, consider writing the prescription in front of the patient so he or she can see the application of our expanded scope. Accepted recommendations. It is not unusual in the pharmacy practice literature to see the proportion of recommendations accepted as an outcome measure. Is this a fair evaluation of the quality of our advice? There are many reasons why a pharmacist’s recommendation may not be accepted, apart from its validity. Not all great recommendations are accepted, and not all poor recommendations are denied. If we truly are the drug therapy experts, evaluation of our worth should not be delegated to another profession. Your prescription will be ready in 5 minutes. Two of the most common questions faced in community pharmacy are as follows: 1) How much will it cost, and 2) How long will it take? While the first answer is often beyond our control, the second isn’t. Our instinct is often to try to make the wait as short as possible, viewing community pharmacy as a service-oriented profession. But when lattes at your local cafe take longer than prescriptions, who are we serving? As mentioned last month, there is a distinct difference between a customer and a patient.1 A customer is provided a product, whereas a patient is provided care. It takes time for the pharmacist to review orders for appropriateness, perform a quality medication review, administer an injection and so on. From our experience, most patients who are made aware of the clinical activities that occur behind the counter are willing to wait to ensure they’re done properly. Free. Pharmacists are increasingly being paid for professional services by government and third-party payers.2,3 Are we doing ourselves a disservice by advertising these as “free”? They aren’t free—as they’re being paid for by an external payer—and our time is valuable. Free may also imply reduced quality, as in “You get what you pay for.” As providers of high-quality professional advice, the term no charge may be preferred, ideally using the opportunity to inform our patients that some of our services, like those of physicians, nurses and so forth, are valued and funded through our universal health system. Our scope and professional roles are expanding. We believe these small, but significant, changes will better reflect our position as drug therapy experts and patient care providers.
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.
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 | 0.027 | 0.190 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.010 | 0.014 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.008 | 0.023 |
| Insufficient payload (model declined to judge) | 0.024 | 0.021 |
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".