National Competencies for Registered Nurses in Primary Care: A Delphi Study
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
A Delphi (consensus) process was used to obtain national agreement on competencies for registered nurses (RNs) in primary care. A draft of competencies was developed by key informants. Following this, nurses with primary care experience/expertise completed a Delphi survey to rate the importance of competency statements on a six-point Likert scale. Statements not reaching consensus (agreement ≥80%) were modified and included in a second (final) round. The first survey was completed by 63% ( n = 86/137) of participants and 84% ( n = 72/86) of these participants completed the second survey. Most statements ( n = 45) achieved agreement after the first survey; one statement was dropped and two were combined following the second round. The final list of competencies consists of 47 statements across six domains (professionalism; clinical practice; communication; collaboration and partnership; quality assurance, evaluation, and research; leadership). National competencies will help strengthen the RN workforce within primary care, improve team functioning, and support role integration/optimization.
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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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