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Record W4386329060 · doi:10.1002/jppr.1880

Selecting performance indicators for hospital pharmacy practice: A Canadian initiative

2023· article· en· W4386329060 on OpenAlexaffabout
France Boucher, Benoît Lemire, Sylvie Schryve, Linda Vaillant

Bibliographic record

VenueJournal of Pharmacy Practice and Research · 2023
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsMcGill University Health CentreCanadian Pharmacists Association
Fundersnot available
KeywordsMedicinePharmacyQuality (philosophy)Pharmacy practicePharmaceutical careFamily medicineSet (abstract data type)Performance indicatorPopulationNursingEnvironmental healthMarketingBusiness

Abstract

fetched live from OpenAlex

Abstract Activity‐based funding is a method of funding hospitals according to the type and volume of services provided and adjusted to their patient population. Currently, pharmacy practice is mainly evaluated with costs and volumes, which are insufficient to properly measure the contribution of pharmacists. Facing the province of Quebec statewide implementation of activity‐based funding, expert committees were set up to develop a set of indicators using a predefined framework to assess pharmacy performance throughout all hospital activities and patient care. Through consultations, partners and stakeholders showed strong support for the initiative, putting more emphasis on the assessment of appropriateness as well as quality and safety. Among the different roles of pharmacists, respondents favoured the assessment of the pharmaceutical care and education of trainees and colleagues. Of the 150 candidate indicators initially identified, 24 were selected, of which 13 were prioritised for experimentation.

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 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)0.009
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.002
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 head0.306
GPT teacher head0.565
Teacher spread0.259 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2023
Admission routes2
Has abstractyes

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