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Record W1873852261

Indicateurs et pratique pharmaceutique : Le point de vue des cinq centres hospitaliers universitaires du Québec

2010· article· fr· W1873852261 on OpenAlexaffabout
Jean‐François Bussières, Patricia Lefebvre, Denis Bois, Marc Vallée, Michel Théberge, Marie-Claude Racine

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsCentre hospitalier universitaire de QuébecCentre Hospitalier Universitaire de SherbrookeUniversité de MontréalMcGill University Health CentreCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Resume Introduction : L’objectif de cet article est de de­crire un processus d’echanges et d’analyse consen­suelle entre chefs de departement afin d’etablir les indicateurs d’activites pertinents pour la pratique pharmaceutique en etablissement de sante. Description de la problematique : Bien qu’il existe des normes canadiennes encadrant la descrip­tion de la charge de travail en pharmacie, elles n’ont jamais ete utilisees en etablissement de sante au Que­bec. Il n’existe pas d’indicateurs d’activites pharma­ceutiques reconnus et largement utilises au Quebec. Resolution de la problematique : Dans le cadre des travaux de la table des chefs de departement de pharmacie des centres hospitaliers universitaires (CHU) quebecois, les cinq chefs ont ete invites a determiner, a partir de leur expertise et de la des­cription des activites realisees au sein de leur eta­blissement au cours des cinq dernieres annees, des indicateurs pertinents pour la description de la pra­tique pharmaceutique. La technique utilisee s’inspire de la technique de Delphi. Au total, 69 indicateurs ont ete determines lors des deux seances de remue-meninges. Ils ont ete regroupes selon les cinq axes de la pratique pharmaceutique en etablissement de sante, soit les services pharmaceutiques, les soins pharmaceutiques, l’enseignement et la formation, la recherche et la gestion. Nous observons une grande variabilite quant a l’utilisation de ces indicateurs au sein des cinq CHU. Les chefs considerent qu’il est tres facile de decrire 45 de ces indicateurs. De meme, ils estiment que 44 des indicateurs proposes peuvent etre utiles pour decrire la performance de leur de­partement. Conclusion : Il existe peu de donnees sur la mesure de la charge de travail en pharmacie. La pratique de la pharmacie hospitaliere est variee, complexe et en evolution. Cet article decrit un pro­cessus d’echanges et d’analyse de cinq chefs de departement de pharmacie ayant permis l’etablisse­ment et l’evaluation de 69 indicateurs d’activites pharmaceutiques. Abstract Introduction: The purpose of this article is to des­cribe a consensus process of discussion and analysis among department heads in order to establish rele­vant activity indicators for pharmaceutical practice in health care establishments. Description of the problem: Even though there are existing Canadian standards that provide a fra­mework for the description of a pharmacy workload, they have never been used in Quebec health care esta­blishments. In Quebec, there are no recognized or wi­dely used indicators for pharmaceutical activities. Problem resolution: In the context of their consul­tation committee work, the five pharmacy depart­ment heads of the Quebec university hospital centres were asked to determine the relevant indicators for describing pharmaceutical practice, drawing on their expertise and a description of activities carried out in their establishments over the last five years. The tech­nique used was modeled on the Delphi method. In all, 69 indicators were identified during two brainstor­ming sessions. The indicators were then grouped ac­cording to the five areas of pharmaceutical practice in health care establishments—that is, pharmaceutical services, pharmaceutical care, teaching and training, research, and management. A considerable variation was observed in the use of indicators in the five uni­versity hospital centres. Department heads conside­red it quite easy to describe 45 of these indicators. As well, they thought that 44 of the suggested indicators could be useful in describing the performance of their department. Conclusion: There is little data on measuring pharmacy workload. The practice of hospital pharmacy is varied, complex, and constantly chan­ging. This article describes a process of discussion and analysis undertaken by five pharmacy department heads in order to establish and evaluate 69 pharmaceutical activity indicators. Key words: workload; checklist; activity indica­tors; hospital pharmacy

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 imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score0.537

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0060.002
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.001

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 head0.050
GPT teacher head0.412
Teacher spread0.362 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2010
Admission routes2
Has abstractyes

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