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Record W2072429982 · doi:10.4212/cjhp.v68i2.1438

Professional Culture and Personality Traits of Hospital Pharmacists across Canada: A Fundamental First Step in Developing Effective Knowledge Translation Strategies

2015· article· en· W2072429982 on OpenAlexaffvenueabout
Meagen Rosenthal, Kevin Hall, Jean‐François Bussières, Ross T. Tsuyuki

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2015
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversity of Alberta
Fundersnot available
KeywordsPersonalityKnowledge translationBig Five personality traitsMedicineNursingFamily medicinePsychologyMedical educationKnowledge managementSocial psychologyComputer science

Abstract

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Background: Evidence for the value of pharmacists’ interventions in the care of patients is strong and continues to grow, but the rate at which these new practice opportunities are being integrated into daily practice has not kept pace. The knowledge translation literature suggests that before effective change strategies can be implemented, a better understanding of the current environment must be obtained. Two important factors within the practice environment are the professional culture and personality traits of group members.Objective: To gain insight, at a national level, into the culture of hospital pharmacy, using the Organizational Culture Profile, and into hospital pharmacists’ personality traits, using the Big Five Inventory.Methods: A cross-sectional survey of hospital pharmacists from across Canada was conducted intermittently over the period August 2012 to September 2013. The online survey contained questions about demographic characteristics and practice setting, as well as questions from the Organizational Culture Profile and Big Five Inventory. The survey link was distributed directly to hospital pharmacists or made available through provincial monthly newsletters. All data were analyzed descriptively and inferentially.Results: In total, 401 surveys were returned. Descriptive analyses from the Organizational Culture Profile revealed that most respondents perceived value in the factors of supportiveness, competitiveness, and stability. Descriptive analyses from the Big Five Inventory revealed that respondents may have been more likely to exhibit behaviours in line with the trait of conscientiousness. Several significant subgroup differences were noted in relation to levels of education, regions of practice within Canada, years in practice, and proportion of time spent conducting clinical duties.Conclusions: The results from this survey provide preliminary insight into the professional culture and personality traits of Canadian hospital pharmacists. It will be important to explore these findings in more depth to maximize the success of any future practice change initiatives.RÉSUMÉContexte : Le nombre de données solides montrant que les interventions des pharmaciens dans les soins des patients sont bénéfiques ne cesse de croître. Pourtant, l’intégration dans le quotidien de ces nouvelles occasions de pratique ne se fait pas au même rythme. D’après la littérature portant sur l’application des connaissances, il est nécessaire d’améliorer la compréhension du milieu d’aujourd’hui avant de pouvoir mettre en oeuvre des stratégies de changement efficaces. Deux facteurs importants dont il faut tenir compte quant au milieu de pratique sont la culture professionnelle et les traits de personnalité des membres du groupe.Objectif : Apprendre à mieux connaître, au niveau national, la culture de la pharmacie hospitalière à l’aide de l’outil de mesure de la culture organisationnelle, « Organizational Culture Profile », et apprendre à connaître les traits de personnalité des pharmaciens hospitaliers à l’aide de l’outil sur les cinq traits centraux de la personnalité, « Big Five Inventory ».Méthodes : Une enquête transversale auprès des pharmaciens hospitaliers du Canada a été réalisée de façon intermittente sur une période s’échelonnant d’août 2012 à septembre 2013. Le sondage en ligne contenait des questions sur les caractéristiques démographiques et le milieu d’exercice ainsi que des questions issues des outils « Organizational Culture Profile » et « Big Five Inventory ». Le lien vers le sondage a été donné directement aux pharmaciens hospitaliers ou il a été intégré à des bulletins d’information mensuels provinciaux. Toutes les données ont été analysées de façon descriptive et inférentielle.Résultats : Au total, 401 sondages ont été retournés. Des analyses descriptives obtenues par l’intermédiaire de l’outil « Organizational Culture Profile » ont démontré que la plupart des répondants accordaient de la valeur aux facteurs de soutien, de compétitivité et de stabilité. Des analyses descriptives obtenues par l’intermédiaire de l’outil « Big Five Inventory » ont démontré que les répondants avaient plus de chances de présenter des comportements en lien avec le trait de la conscience professionnelle. Plusieurs importantes différences de sous-catégories ont été relevées en lien avec le niveau de scolarité, la région de la pratique au Canada, le nombre d’années de pratique et le temps passé à effectuer des activités cliniques.Conclusions : Les résultats de ce sondage offrent un aperçu de la culture professionnelle et des traits de personnalité des pharmaciens hospitaliers du Canada. Il est important d’étudier plus en profondeur ces résultats afin de maximiser les chances de réussite des futures initiatives de changement de la pratique.

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)0.029
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 score0.973
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0060.002
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.126
GPT teacher head0.414
Teacher spread0.288 · 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".

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Citations18
Published2015
Admission routes3
Has abstractyes

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