Development of a competency framework for advanced practice nurses: A co‐design process
Bibliographic record
Abstract
AIMS: The aim of the study was to develop a comprehensive competency framework for advanced practice nurses in Belgium. DESIGN: A co-design development process was conducted. METHODS: This study consisted of two consecutive stages (November 2020-December 2021): (1) developing a competency framework for advanced practice nurses in Belgium by the research team, based on literature and (2) group discussions or interviews with and written feedback from key stakeholders. 11 group discussions and seven individual interviews were conducted with various stakeholder groups with a total of 117 participants. RESULTS: A comprehensive competency framework containing 31 key competencies and 120 enabling competencies was developed based on the Canadian Medical Education Directions for Specialists Competency Framework. These competencies were grouped into seven roles: clinical expert and therapist, organizer of quality care and leader in innovation, professional and clinical leader, collaborator, researcher, communicator and health promoter. CONCLUSION: The developed competency framework has resemblance to other international frameworks. This framework emphasized the independent role of the advanced practice nurse and provided guidance in a clear task division and delegation to other professionals. It can provide a solid foundation for delivering high-quality, patient-centred care by advanced practice nurses in the years to come. IMPLICATIONS FOR THE PROFESSION: This competency framework can guide further development of advanced practice nursing education in Belgium and represents a starting point for future evaluation of its feasibility and usability in education and clinical practice. Advanced practice nurses and healthcare managers can also use the framework as an instrument for personal and professional development, performance appraisal, and further alignment of these function profiles in clinical practice. Finally, this framework can inform and guide policymakers towards legal recognition of advanced practice nursing in Belgium and inspire the development of advanced practice nursing profiles in countries where these profiles are still emerging. IMPACT: What problem did the study address? The absence of a detailed competency framework for advanced practice nurses complicates legal recognition, role clarification and implementation in practice in Belgium. A rigorously developed competency framework could clarify which competencies to integrate in future advanced practice nursing education, mentorship programs and practice. What were the main findings? The competency framework outlined seven roles for advanced practice nurses: clinical expert and therapist, organizer of quality care and leader in innovation, professional and clinical leader, collaborator, researcher, communicator, and health promoter. Differentiation from other expert nursing profiles and clinical autonomy of advanced practice nurses were pivotal. Where and on whom will the research have impact? The comprehensive competency framework for advanced practice nurses and the collaborative methodology used can inspire other countries where these profiles are still emerging. The competency framework can be used as an instrument for role clarification, performance appraisals, continuous professional development, and professional (e-)portfolios. The competency framework can guide policymakers when establishing Belgian's legal framework for advanced practice nurses. REPORTING METHOD: The authors have adhered to CONFERD-HP: recommendations for reporting COmpeteNcy FramEwoRk Development in health professions. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution in the design of the study. A patient advisory panel commented on the developed competency framework.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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".