Evaluating Preceptor Perception of Role Development and Support Initiatives in a Collaborative Bachelor of Science in Nursing Program
Bibliographic record
Abstract
Background: Nurse preceptors fulfill a vital role in the success of preceptorship experiences during clinical education of nursing students in their final year of study. Literature does not provide insight on preceptors’ perceptions about whether they feel supported in their knowledge about how to guide undergraduate nursing students in complex clinical learning environments. Objectives: The purpose of this study was to explore Saskatchewan preceptors’ perceptions of their role preparation/development and support, and make recommendations to enhance preceptors’ support to ensure quality learning for preceptored nursing students. Methods: The sample comprised of registered nurses who were current or past preceptors for fourth year undergraduate students. A cross sectional study design was used. Data were gathered through Qualtrics survey and analyzed to identify statistically significant differences in sub-scales score by demographic subgroups. Results: Significant differences were found between preceptors aged 60 years and older and those aged 30–39 years or 40–49 years on the preparation subscale. In both cases those in > 60 years subgroup scored higher with medium effect sizes. In regard to the years of practice, those with 10–19 years’ experience score higher than those with 5–9 years and 20–29 years, again with medium effect sizes. Conclusion and Recommendations: Gaining understanding of preceptors’ perspectives of what they need to fulfill their role as preceptors is integral to preceptor satisfaction. Enhancing preceptor satisfaction can increase recruitment and retention of preceptors for the future. Additional faculty training and support are needed to ensure faculty and preceptors have a better understanding of their roles. There is need for further development of preceptor manuals to include relevant material for specific clinical areas, a review of evaluation documents, and increased support for younger and least experienced preceptors.
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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 | 0.007 | 0.013 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".