Éléments clés à intégrer dans une formation destinée à l’assistante infirmière-chef : une revue de la portée
Bibliographic record
Abstract
Background: The position of the charge nurse involves clinico-administrative responsibilities and requires five essential competencies: leadership, interpersonal communication, clinical-administrative caring, problem-solving, and knowledge and understanding of the work environment. However, these competencies are rarely addressed in ongoing training for charge nurses in health care institutions, and the existing trainings identified either do not cover all five required competencies or provide only limited content related to them. As a result, without appropriate training, charge nurses may be unable to fully meet the complex demands of their position and there will be a gap between the complex requirements of this position and the ability to meet them. There is a clear need for a scientifically grounded training that addresses these gaps. Objective: To identify the key elements for operationalizing and strengthening the competencies required for the position of charge nurse, with a view to incorporating them into a training to be developed for this purpose. Method: A scoping review was conducted using the Joanna Briggs Institute (JBI) methodology. Using a strategy developed by the research team, the CINAHL, MEDLINE, Cairn, and ScienceDirect databases as well as grey literature sources were queried. To be included, publications had to meet the following criteria: address the charge nurse position and include at least one key element for implementing or strengthening at least one of the five core competencies; be published between 2000 and 2021; and be written in either French or English. Findings: Out of 2,672 records identified, 23 articles met the inclusion criteria for this scoping review. Analysis of these publications revealed key elements that could be associated with conceptual content, practical application or knowledge integration. Conclusion: This scoping review helped identify the content to be incorporated into charge nurse training currently under development, thus supporting the development and reinforcement of charge nurses’ competencies, thereby enabling them to effectively fulfill their position.
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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 | 0.026 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.013 | 0.017 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.015 | 0.019 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".