An Innovation Sprint to Promote Problem-solving and Interprofessional Skills Among Pharmacy and Public Health Students
Bibliographic record
Abstract
Objective. Innovation sprints are a novel pedagogy where small groups of students find creative solutions to problems. The purpose of this study was to extend our understanding of innovation sprint pedagogical design by investigating the impact of an innovation sprint on Doctor of Pharmacy (PharmD) students’ and Master of Public Health (MPH) students’ interprofessional collaboration and problem-solving skills. We hypothesized that the innovation sprint would increase student self-efficacy and that interprofessional collaborative behaviors would be demonstrated by individuals on a team. Methods. MPH and third-year PharmD students were assigned to teams and participated in a required two-hour innovation sprint. Faculty observed student teams and evaluated their interprofessional collaboration skills using a rubric modeled after the Modified McMaster-Ottawa Scale. Students completed a postprogram survey assessing their interprofessional collaborative behaviors and attitudes toward the innovation sprint. Results. Of the 133 students participating in the innovation sprint, 127 completed the postprogram survey (response rate=95%). Faculty determined that 123 students (92%) met the interprofessional collaboration competencies. The mean interprofessional collaborative competencies attainment survey scores increased for both PharmD and MPH students. Qualitative analyses highlighted themes of interprofessional collaboration and problem-solving skills that students valued. Overall, students enjoyed working with each other and engaging in creative problem-solving. Conclusion. An interprofessional innovation sprint involving PharmD and MPH students demonstrated a positive impact on student self-assessed interprofessional collaboration and problem-solving skills. Further, faculty observed a high rate of interprofessional behaviors within student teams. Based on these findings, an innovation sprint may be an effective pedagogical tool to enhance students’ skills in these areas.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".