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Record W4376226676 · doi:10.1186/s40545-023-00567-8

Specialized competency framework for pharmacists in managerial positions in sales and marketing (SCF-PMSM): development, validation, and correlates

2023· article· en· W4376226676 on OpenAlex
Hala Sacre, Randa Aoun, Chadia Haddad, Carla Abou Selwan, Rony M. Zeenny, Marwan Akel, Aline Hajj, Carole Hassoun, Joya Namnoum, Katia Iskandar, Pascale Salameh

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Pharmaceutical Policy and Practice · 2023
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCompetence (human resources)PreparednessPharmacyMedical educationMarketingWorkloadSample (material)PhonePsychologyBusinessMedicineNursingComputer scienceManagement

Abstract

fetched live from OpenAlex

BACKGROUND: Pharmacists in sales and marketing roles need specific skills for managerial positions, and a framework for evaluating and developing these competencies is necessary. Currently, no such framework is known to exist. OBJECTIVE: This study aimed to develop and validate a specialized competency framework for pharmacists in sales and marketing managerial positions and assess correlates related to the competency domains. METHODS: This web-based study carried out between March and October 2022 enrolled a convenient sample of 60 pharmacists with managerial positions in sales and marketing, contacted by phone, working in the field of sales and marketing from the five governorates of Lebanon (Beirut, Beqaa, Mount Lebanon, South, and North). RESULTS: The framework demonstrated good construct and structural validity in all domains except for emergency preparedness, which had a low correlation with other domains. Competencies were well correlated with respective domains, and behaviors had excellent loadings on corresponding competencies. As for the correlates of the competency domains, males were more confident than females (p < .05), and participants with more experience (or heavier workload) reported higher competency levels (p < .05), particularly for upper management skills, communication skills, and professional practice. Further, education level was not significantly correlated with declared competency, with experience being the most cited source of competence (68.25%), followed by postgraduate degrees (42.48%) and continuing education sessions (33.93%), while undergraduate education was the least reported (29.5%). CONCLUSION: This study could develop and validate the Specialized Competency Framework for Pharmacists in Managerial Positions in Sales and Marketing (SCF-PMSM) among a sample of Lebanese pharmacists. This framework demonstrated good reliability, content, construct, and structural validity in all the domains, with the competencies being well correlated with their respective domains and behaviors having excellent loadings on related competencies, except for emergency preparedness and response. It also revealed a mismatch between what is taught at undergraduate and postgraduate levels and the needs in practice.

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.

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)0.003
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.653
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.153
GPT teacher head0.492
Teacher spread0.338 · 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