Evaluation of Qatari and Canadian Pharmacy Students Learning Together about Cultural Competency using Videoconference Educational Activities
Bibliographic record
Abstract
Background: Pharmacists are under pressure to provide patient centered care within increasingly culturally diverse settings. Pharmacy schools play an important role in educating learners regarding culture and its impact on patient care.
 Objectives: The objectives of this study were to determine if a novel cultural competency learning activity, which involved students from two culturally and ethnically different pharmacy schools learning together using videoconference education activities, improved: (1) student knowledge and confidence pertaining to cultural competency concepts, (2) attitudes and perceptions towards being a culturally competent pharmacist, and (3) academic performance related to cultural competency case studies.
 Methods: Pharmacy students from Qatar University in Doha, Qatar (n=25) and the University of Saskatchewan in Saskatoon, Canada (n=85) participated in a cultural competency activity comprised of small group work on a patient case study, followed by tutorial discussions. Some Canadian students (n=31/85) worked collaboratively (via video conference) with the students from Qatar. The evaluation used a convergent mixed methods design comprised of: (1) a pre and post session survey measuring student knowledge and confidence; (2) pre and post session student self-reflections; and, (3) student academic performance on care plans and an observed structured clinical exam (OSCE).
 Results: The survey identified small but statistically significant (p<0.05) improvements in knowledge and confidence with respect to 11 of the 12 questionnaire items in the students from Canada and 2 of the 12 items in the students from Qatar. The self-reflections found that 44.4% (n=36/81) of students who completed the pre and post reflective questions reported a change in knowledge and attitudes regarding cultural competency, but a reason for the change was not evident. Student grades on the cultural competency care plans and the OSCE were not different between the students who worked collaboratively across the two schools compared with those who did not.
 Conclusion: The cultural competency student activity showed small improvements in pharmacy student knowledge, attitudes and confidence, but did not affect academic performance. Future research in this area could utilize a greater diversity of methodological approaches, including a focus on student self-reflection and qualitative assessment, to better capture student competency.
 
 Type: Original Research
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".