Pharmacy travel health services: current perspectives and future prospects
Bibliographic record
Abstract
Rates of international travel are increasing annually, with particular growth observed in travel to Southeast Asia and to emerging economies. While all patients traveling across geographic regions are recommended to receive a pre-travel consultation to consider their individual risks, many do not, or receive care and recommendations that are not consistent with current evidence-based guidelines. As experts in drug therapy, and given the largely preventive nature of most travel health recommendations, pharmacists are well suited to help address this need. Pharmacists generally possess a high degree of knowledge and confidence with more commonly observed travel health topics in community practice such as travelers' diarrhea; however, training in more specialized travel health topics such as travel vaccinations and traveling at altitude has generally been lacking from pharmacy curricula. Pharmacists with an interest in providing pre-travel consultations are encouraged to pursue additional training in this specialty and to consider Certificate in Travel Health designation from the International Society of Travel Medicine. Future roles for pharmacists to include the prescribing of medications and vaccines for travel and the in-pharmacy administration of travel vaccinations may improve patient access to pre-travel consultations and recommended preventive measures, improving the health of travelers and potentially reducing the burden of communicable disease worldwide. Pharmacists providing travel care to patients are also reminded to consider noninfectious risks of illness and injury abroad and to counsel patients on strategies to minimize these risks in addition to providing drug and vaccine recommendations.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.008 |
| 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".