Competency Assessment Tools for Registered Nurses: An Integrative Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The clinical nurse educator in practice settings assists registered nurses through education and works with nurse managers to evaluate the continuing competency of registered nurses. The availability of self reporting tools with acceptable psychometric properties may contribute to an understanding of staff expertise and continued competence to perform their required duties. METHODS: An integrative review of the literature was conducted using keyword searches in CINAHL, ERIC, and PsyciNFO. The search for tools published in the past decade focused on self-assessment of continuing competence in practicing nurses. RESULTS: Four research reports were found with multidimensional self-reporting tools designed for use with nurses in ongoing practice. Each tool specifies a unique set of dimensions of continuing competency (e.g., clinical care, leadership, interpersonal relationships) and has had its validity or reliability tested with practicing nurses. CONCLUSION: The results of the review showed an improvement in the development and availability of tools.However, the tools are still lacking in dimension and further investment in this area of research is needed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it