Assessing and validating the specialized competency framework for pharmacists in sales and marketing (SCF-PSM): a cross-sectional analysis in Lebanon
Bibliographic record
Abstract
OBJECTIVES: Competencies refer to the knowledge, skills, attitudes, and behaviors individuals develop through education, training, and experience. These competencies can be formulated into a framework to support practitioner development for effective and sustained performance. In the absence of a national framework for pharmacy education and practice in Lebanon, the Order of Pharmacists of Lebanon (OPL, the official association of pharmacists in Lebanon) pioneered the development of a pharmacy competency framework in 2017. This study aimed to validate and assess the specialized competency framework for pharmacists in sales and marketing (SCF-PSM) after updating the framework previously published by the OPL. The secondary objective was to assess, in a pilot survey, the personal characteristics associated with these competencies. METHODS: After validating the content of the specialized competency framework, a survey involving Lebanese pharmacists was performed through a 15-min online questionnaire distributed over social media platforms, groups of pharmacists, and individual pharmacists' contact numbers. KEY FINDINGS: Pharmaceutical knowledge, communication, emergency response, and operation management during emergencies were satisfactory (more than 80/100). Other activities during emergencies, such as patient care and population health interventions and evaluation, research, and dissemination of research outcomes, received a moderate score (75-78/100), similar to legal practice (78/100), teamwork (76/100), and management skills (75/100). The lowest reported confidence was related to professional communication skills (other than communication per se), mainly negotiation, data processing skills, information technology, self-management, and ethical practice (< 75/100). This study reported deficiencies between what is acquired during undergraduate, postgraduate, and continuing education on the one hand and the competency framework suggested by the OPL on the other hand, showing a mismatch between the competencies of working pharmacists acquired during education and the market needs. CONCLUSIONS: This study validated a competency framework for pharmacists in sales and marketing and explored the current gaps in self-reported competencies. It also identified areas necessitating reinforcement to optimize professional practice and underscored the need for improvement in undergraduate, postgraduate, and continuing professional education.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".