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Enregistrement W7149896386

Training and Assessment in Workplace-based Community Pharmacy:: Creating Foundations and Nurturing Progress

2025· dissertation· en· W7149896386 sur OpenAlexaboutno aff
Marnix P. D. Westein, Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Marcel L. Bouvy, Rashmi A. Kusurkar, Andries S. Koster

Notice bibliographique

RevueUtrecht University Repository (Utrecht University) · 2025
Typedissertation
Langueen
DomaineMedicine
ThématiquePharmaceutical Practices and Patient Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCurriculumPharmacyQuality (philosophy)Scale (ratio)Function (biology)Training (meteorology)Academic community
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This PhD research focuses on the development, validation, and revision of the postgraduate workplace-based community pharmacy education program in the Netherlands. The aim of the program is to develop pharmacists into competent community pharmacists who can provide effective and safe pharmaceutical care. The research addresses two main questions: how to develop, validate, and revise the education program using design approaches from medical education and context-specific research findings, and how trainees and supervisors perceive learning and assessment in the workplace. The study explores the program's function using Moos’ theory of human environments and self-determination theory to assess the quality of the educational environment, and Kane’s framework for validating measures of performance to evaluate the utility and validity of assessments. The postgraduate curriculum for community pharmacy specialists, developed in 2012 and guided by the Canadian Medical Education Directives for Specialists (CanMEDS) framework, includes Entrustable Professional Activities (EPAs) and workplace-based assessments. The research showed that design approaches from medical education were effective in developing and revising the curriculum. A cross-sectional study was conducted to investigate the quality of the educational environment and its impact on trainees' psychological needs and motivation in training pharmacies. The study used the Scan of Postgraduate Educational Environment Domains (SPEED), the Basic Psychological Need Satisfaction and Frustration Scale for the Work Domain, and the Academic Motivation Scale. The findings revealed that a positive environment enhances satisfaction of basic psychological needs, while a suboptimal environment can lead to frustration. A mixed-method approach was applied to examine the tension between measuring performance and giving feedback in progress evaluations. The validity of performance evaluation scores from 342 trainees was analysed using repeated measures ANOVA. Semi-structured interviews with 15 supervisors explored their response processes, the utility of progress evaluations, and the influence of supervisor-trainee relationships. Intermediate progress evaluations in training pharmacies were found to be useful for structuring learning and providing feedback. However, summative evaluations by supervisors were found to be unreliable for decision-making. Establishing a clinical competency committee can help distinguish between formative feedback and summative decision-making. Supervisors face role conflicts, preferring to focus on competency development rather than assessment. Positive supervisor-trainee relationships are crucial for effective feedback, with supervisors acting as educators, mentors, and coaches. The curriculum was revised in 2022 based on feedback and research findings. The updated curriculum includes a revised competency framework, EPAs, assessment program, classroom-based learning program, and workplace support. Increased workplace support can enhance workplace-based education and strengthen the relationship between pharmacies and the educational institute. The thesis concludes that the curriculum and workplace are interconnected, and changes should align with the basic psychological needs of both trainees and supervisors. This research contributes to the foundational development and ongoing progress of training and assessment in workplace-based community pharmacy in the Netherlands.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,507
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,113
Tête enseignante GPT0,374
Écart entre enseignants0,261 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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