Development of a self-directed orientation resource for nurses newly hired to the neurosurgical perioperative specialty
Bibliographic record
Abstract
Background: Perioperative nursing requires nurses to have advanced clinical judgement and critical thinking. Neurosurgery is a complex service line that differs from the other perioperative services. This necessitates perioperative nurses to acquire specialized knowledge for neurosurgical instrumentation and equipment; neurological conditions; and complex surgical procedures. Training and education are traditionally provided to nurses who are new to perioperative nursing practice through the processes of orientation and onboarding. However, there is not a specific process in place that adequately addresses the learning needs for orienting nurses to practice competently within the neurosurgical service line for the institution where this practicum project was undertaken. Purpose: To develop a unit specific resource that contains relevant information and addresses the unique needs of nurses newly hired to the perioperative neurosurgical specialty. Methods: 1) an integrative literature review, 2) an environmental scan of available resources from hospitals within Central and Atlantic Canada and reputable websites, 3) consultation interviews with key stakeholders, and 4) the development of the self-directed orientation resource manual. Results: The findings established the need for the development of the orientation resource. The literature review revealed that orientation and onboarding programs can be effective for improving clinical knowledge and competence. The environmental scan resulted in several reputable resources that are used to support neurosurgical perioperative nursing orientation in other institutions. Consultation interviews reinforced the demand for the orientation resource and illuminated the learning needs of perioperative neurosurgical nurses. The six modules included in the orientation resource are: 1) Overview of perioperative neurosurgical nursing, 2) Overview of neurosurgical procedures, 3) Common instruments used in neurosurgery, 4) Common equipment used in neurosurgical procedures, 5) Emergency considerations, and 6) Neurosurgical interprofessional considerations. Additionally, the use of \ncase studies, reflection exercises, helpful tips for practice, photos, and videos were included for adult learner engagement, as per Knowle’s Adult Learning Theory. Conclusion: This orientation resource is to educate newly hired nurses to become confident and competent in their perioperative neurosurgical nursing practice.
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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 | 0.010 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".