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Record W3031330969 · doi:10.1186/s40545-020-00229-z

Pharmacist intervention amid the coronavirus disease 2019 (COVID-19) pandemic: from direct patient care to telemedicine

2020· article· en· W3031330969 on OpenAlex
Ali Elbeddini, Aniko Yeats

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Pharmaceutical Policy and Practice · 2020
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPandemicTelemedicineHealth carePharmacistMedical prescriptionPharmacyMedicineCoronavirus disease 2019 (COVID-19)TelehealthMedical emergencyFamily medicineIntervention (counseling)DiseaseNursingInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

The coronavirus disease (COVID-19) pandemic has placed enormous pressures on the Canadian healthcare system. Patients are expected to stay home in order to contain the spread of the virus, but understandably have numerous questions and concerns about their health. With physical distancing being of utmost importance during the pandemic, much of healthcare has been forced to move online or over the telephone. Virtual healthcare, in the form of video calls, email, or telephone calls with patients, can significantly enhance access to healthcare. Many clinics have moved their appointments online, and physicians are seeing their patients by means of online video calls. Similarly, patients are refilling their prescriptions online and calling pharmacists whenever they have questions about their medications or medical conditions. Pharmacists are considered the most accessible primary care providers, so it is crucial for patients to know that pharmacists are there to support them throughout the pandemic.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.366
GPT teacher head0.551
Teacher spread0.185 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it