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Record W3113943294 · doi:10.32352/0367-3057.6.20.05

The development of elective discipline «Leadership in pharmacy» for training master of pharmacy, industrial pharmacy in Ukraine

2020· article· en· W3113943294 on OpenAlexaboutno aff
Наталія Алєкперова

Bibliographic record

VenueFarmatsevtychnyi zhurnal · 2020
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicMedical and Pharmaceutic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPharmacyPharmacy practiceMedical educationMedicinePsychologyNursing

Abstract

fetched live from OpenAlex

The conditions of modern pharmaceutical market development require leadership at each level that lets not only respond rapidly and efficiently on the changes of the environment but initiate the necessary changes. Leaders as agents of changes can transform people’s values, to motivate and inspire, to form the vision of development of healthcare system and pharmaceutical sector taking into account the principles of system thinking for the provision of population with available, quality and safe pharmaceutical care and the improvement of their life. The aim of the work is the development of an elective discipline «Leadership in Pharmacy» for training Master of Pharmacy, Industrial Pharmacy. The literature review based on the data of international and foreign educational standards of higher pharmaceutical education, the current national educational standard, the experience of teaching subjects devoting to leadership in pharmacy both abroad and in Ukraine has been carried out. Such a scientific quantitative method as a survey has been used. 221 students from the School of Pharmacy at Bogomolets National Medical University have taken part in the survey. The recommendations of the International Pharmaceutical Federation pay attention to the advisability of forming leadership competencies for pharmaceutical workers. The national standards of higher pharmaceutical education in the USA, Great Britain, Australia, Canada include a specific list of leadership competencies. The domestic standard of higher education for getting a Master’s degree in Pharmacy, Industrial Pharmacy includes certain general competencies based on the leadership. Some leadership skills are listed as special competencies and they are reflected in the discipline «Pharmaceutical Management and Marketing». However, a discipline aimed at the complex and systematic formation of leadership competencies is not presented in the working educational plan for training Masters in the field of knowledge «Healthcare» and specialty «Pharmacy». About 70% of the School of Pharmacy students at Bogomolets National Medical University think that the materials devoted to leadership «worth including» to the educational program and 28% of them notice that «rather worth including». According to the students’ opinions, the most interesting leadership topics are traits of leaders aimed at the success, leadership and team, the formation of leadership strategy – 76%, 72% і 70% respectively. The structure of the elective discipline «Leadership in Pharmacy» with an indication of the aim, list of topics, and the desired educational outcomes (competencies) has been presented. The elective discipline «Leadership in Pharmacy» considering the formation of leadership skills at three successive levels, namely individual, team and organization has been developed. This discipline consists of the following modules: «Foundations of Leadership. Personal Leadership», «Leadership and Collaboration», «Leadership and Organizational Change».

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.774
GPT teacher head0.508
Teacher spread0.266 · 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 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
Published2020
Admission routes1
Has abstractyes

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