<p>Exploring the gaps between education and pharmacy practice on antimicrobial stewardship: a qualitative study among pharmacists in Qatar</p>
Bibliographic record
Abstract
Background: Antimicrobial resistance is a public health issue and is the focus of antimicrobial stewardship (AMS) teams within health care institutions. However, AMS is not comprehensively and fully taught in medical or pharmacy curricula and little is known about the relevance of pharmacist training to meet AMS needs in the Middle East region. We aimed to explore the discord that may exist between infectious diseases education and actual clinical practice with regard to AMS knowledge and training skills in Qatar. Then, we sought to further explore pharmacist perceptions of their AMS roles in hospital environments. Methods: A qualitative study was undertaken at Qatar University using three focus groups consisting of 15 pharmacy alumni who are currently practicing as clinical pharmacists in Qatar. Focus groups were facilitated using a topic guide developed by study investigators. Discussions were audio-recorded and transcribed verbatim. Results were analyzed using framework analysis. Results: Two major themes related to the first objective emerged throughout the discussions and associated recommendations made to improve (i) infectious diseases (ID) module content and delivery and (ii) ID knowledge and skills application. Two themes related to the second objective included (i) impact of pharmacist’s interventions on decision-making and (ii) continuing professional development programming. Conclusion: Our findings guide ongoing efforts to enhance ID content in the curriculum and will close gaps related to AMS training. Pharmacists are core AMS team members where there is an ongoing need to align continuing education for health professionals with realities of practice. Keywords: antimicrobial stewardship, education, clinical practice, pharmacist, Middle East, infectious diseases Corrigendum for this paper has been published
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 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".