Newly-graduated baccalaureate registered nurses, the 21st century health care environment and mapping the landscape for curricular change
Bibliographic record
Abstract
As the landscape of health care delivery in Canada and especially in Prince Edward\nIsland (PEI) evolves and as work environments also evolve within that landscape, newly\ngraduated registered nurses’ (NGRNs) are challenged and often overwhelmed. Many factors\ninfluence their work and after analyzing the in-depth narrative interviews of six NGRNs on two\nseparate occasions, new challenges were revealed in their powerful voices and narrative\nexpressions. This PhD thesis utilized critical theory and narrative inquiry methodology to\nexamine and disseminate knowledge about these interviews with NGRNs. It includes a\ncomprehensive review of literature, nursing educational curriculum, and narrative interviews\nover two points in time. In mapping the curricular landscape and listening to the voices of\nNGRNs, the following research questions were examined: 1) What are NGRNs views\nsurrounding the educational curriculum they received? 2) Do NGRNs perceive that nurse\neducators are preparing baccalaureate student nurses for the realities of nursing in the current\nhealth care environment? 3) What strategies, if any, are necessary to enhance the education of\ncurrent and future baccalaureate student nurses?\nAs the researcher positioned within the Narrative Circle Model, I explored the research\nquestions that could improve the education and work life of NGRNs, and ultimately improve the\nhealth and lives of our population. Most NGRN identified communication and leadership as\nmajor challenges in the medical-surgical health care environment, a surprising and noteworthy\nfinding. Other main findings suggest that patient acuity and workload are challenges for NGRNs.\nMain themes that emerged were communication, leadership, patient acuity, delegation,\nworkload, Model of Care health care delivery, computer information system technology, and\ninterdisciplinary patient care. The findings support a need for further research on communication and leadership within nursing educational curriculum and for support for NGRNs on medicalsurgical\nnursing units as they transition into their work environments. Specific strategies for\ncurricular change were also identified. The research results aim to improve the educational\ncurriculum for baccalaureate student nurses at schools of nursing nationally and internationally.\nDissemination will invite nursing educators and health care policy makers to better prepare\nNGRNs for the 21st century healthcare environment.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.017 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 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".