Part of a Global Workforce: Migration of British-Trained Pharmacists
Bibliographic record
Abstract
OBJECTIVES: Many countries, including the UK, have identified a shortage of pharmacists, partly due to emigration. This study was undertaken to examine the extent and nature of migration taking place among British-qualified pharmacists. METHODS: Mixed methods, including secondary analysis of quantitative data, qualitative research and a large self-completion survey of all British-registered pharmacists with an overseas address. RESULTS: Almost 11% of British-registered pharmacists reside overseas. Nearly three-quarters are British-trained and most are UK nationals. The US, Canada and Australia are the main destinations. The majority work as pharmacists in health services, but sizeable proportions are either retired, not working for other reasons or work in industry. Those who emigrate include those returning home, moving for career opportunities, for lifestyle reasons or as a 'spouse trailer'. For many the move abroad is a permanent one. CONCLUSIONS: Great Britain is both a source and destination country for migrating pharmacists. Emigration currently exceeds immigration. Pharmacists are not migrating to developing countries, so the profession may want to consider ways of contributing to the health care systems in developing countries which are the source of some of the immigrant pharmacists to Great Britain.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".