Core competencies of clinical nurse specialists: A comparison across three Nordic countries
Bibliographic record
Abstract
AIM: To describe and compare the clinical nurse specialist core competency use in Finland, Denmark and Iceland. BACKGROUND: Clinical nurse specialist roles were first developed more than 60 years ago in the United States. Within the Nordic countries, the clinical nurse specialist role emerged around 2000. There is scarcity of clinical nurse specialist competency descriptions outside of North America, and research has been limited to examine or validate established competencies across different countries. DESIGN: A descriptive correlational study. METHODS: An online survey was conducted from May to September 2019. A population sample of clinical nurse specialists in Finland, Denmark and Iceland was recruited. A validated self-report questionnaire of clinical nurse specialist competencies was used. The data were analysed using descriptive and inferential statistics, and the STROBE checklist was used as the reporting guideline. RESULTS: A total sample of 184 clinical nurse specialists, 52 from Finland, 95 from Denmark and 37 from Iceland, participated in the study (response rate = 72%, 35% and 48%, respectively). Overall, clinical nurse specialists utilised the organisational competency most frequently followed by the patient, clinical nursing leadership and scholarship competency. Univariate analysis of variance test between-country effects showed statistically significant difference in patient competency (p = .000) and in organisational competency (p < .05). There were no statistically significant differences between counties in the utilisation of clinical nursing leadership and scholarship competency. CONCLUSION: A small variability was found in the comparison of the clinical nurse specialist use of core competency in the spheres of patient, nursing, organisation and scholarship within three Nordic countries. RELEVANCE TO CLINICAL PRACTICE: The CNS competency scale may be utilised in benchmarking clinical nurse specialist roles and practice within and across countries. The long-term goal for the competency descriptions is to enhance the clinical nurse specialist role clarity, integration and evaluation as well as inform post-graduate education.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".