Nursing preceptors’ attitudes towards the applicability of the five-minute-preceptor-model in practical nursing education: A qualitative descriptive study
Bibliographic record
Abstract
Objective: The “Five-Minute-Preceptor Model” (5MP) is a teaching method that is especially useful for teaching students in clinical training and strengthens the clinical reasoning skills of nursing students. Despite its acclaimed utility in clinical environments, there is a notable paucity of research on this model, particularly from the standpoint of nurse preceptors. Therefore, the study aimed to investigate the views of the nurse preceptors towards the applicability of the 5MP in precepting nursing students.Methods: Adopting a qualitative descriptive design, this study involved 15 problem-centered interviews conducted in February 2022. The participants were nurse preceptors employed at a hospital in Southern Austria. Interviews were audio-recorded, transcribed verbatim, and analyzed. Data analysis was performed through qualitative content analysis following Kuckartz's methodology.Results: The qualitative content analysis yielded five main categories, further delineated into 14 sub-categories. Nurse preceptors generally had a positive attitude towards the applicability of the teaching method. They expressed it as practicable, supportive, and enhancing for their preceptorship. However, the universal application in every nursing setting and situation as well as the applicability in lower training levels was questioned by the nurse preceptors.Conclusions: The findings suggest that the 5MP is a viable teaching method for precepting nursing students. While some limitations in its adaptability to diverse settings and situations were identified, several participants noted the method's inherent flexibility for customization. Further research is required to extensively evaluate its effectiveness across varied nursing environments.
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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 | 0.008 | 0.008 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".