Using an interprofessional competency framework to enhance collaborative pediatric nursing education and practice
Bibliographic record
Abstract
BACKGROUND: Interprofessional education (IPE) provides healthcare students with the knowledge and skills necessary to provide safe and effective collaborative care in a variety of clinical settings. Inclusion of IPE in nursing curricula is required for program accreditation in Canada; a variety of learning strategies at varied levels are used to meet this requirement. As this formal requirement only occurred over the last decade, development, facilitation, and evaluation of IPE interventions are ongoing. PURPOSE: The purpose of this study was to examine if exposure to an introductory IPE activity influenced third-year undergraduate nursing students' perceived ability to practice competent interprofessional collaboration (IPC). METHODS: The introductory IPE activity included ten-hours of interactive lectures and related case studies, grounded in the National Interprofessional Competency Framework, delivered by various healthcare professionals in a third-year nursing theory and clinical course. Following completion of the courses, quantitative data were collected via the Interprofessional Collaborative Competencies Attainment Survey (ICCAS) which was used to evaluate nursing students' change in competencies for IPC. Frequencies, percentages, and means were used to analyze the demographic data, the Cronbach's alpha coefficient was used to evaluate the internal reliability of the ICCAS, and paired t-tests were conducted to measure the difference from pre- to post-participation for all 20 items and 6 subscales of the ICCAS. RESULTS: Study participants (n = 111) completed the ICCAS at the end of the courses to measure change in six competencies. The survey results indicated improvements in all competencies following the IPE activity. CONCLUSIONS: The significant findings demonstrate that exposure to introductory IPE activities, involving nursing students and other healthcare professionals, hold promise for enhancing IPC in pediatric clinical settings. These findings can be used to inform the development of formal IPE interventions.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| 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 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".