Understanding the Residency Experience of Nurse Practitioners in Fraser Health: A Qualitative Study
Bibliographic record
Abstract
BackgroundThe transition from student to full-scope Nurse Practitioner (NP) is a phase marked by challenges such as patient complexity, expanding scopes of practice, and role ambiguity. NPs expanding presence in healthcare environments, especially those involving complex patient care, necessitates the development of skills, competence, and confidence to practice at their full scope.PurposeThis study evaluated the experiences of NPs participating in the residency program within Fraser Health (FH), British Columbia, to gain insights into how the program impacted their transition to independent practice.MethodsA phenomenological qualitative approach was employed, involving semi-structured one-on-one interviews with fifteen NPs who completed the residency program. Data were analyzed using inductive thematic analysis to identify patterns and themes associated with various clinical phenomena.FindingsThree themes emerged from the analysis: recruitment, transition to practice, and areas for improvement. The residency program significantly influenced NPs' decisions to join FH, offering structured mentorship and professional development opportunities that attracted NPs from diverse backgrounds. Participants valued the exposure to various specialties and clinical environments, which enhanced their clinical skills and confidence. The program facilitated the building of professional networks, providing support and interprofessional collaboration. Despite the benefits, participants identified areas for improvement.ConclusionThe study highlighted the importance of structured residency programs in supporting new-graduate NPs during their transition to independent practice. Enhancing standardization and incorporating formal competency assessments could further improve residency outcomes. Investing in structured transition programs is essential to ensure new NPs are well-prepared to provide high-quality, independent care.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".