Experiences of Internationally-Educated Nurses with Transition Supports in Sault Ste Marie: Recommendations for Success
Bibliographic record
Abstract
Description pulled from executive summery. "Through research aimed at Internationally-Educated Nurses (IENs) in Sault Saint Marie, this study seeks to map the available transition supports found in the experiences lived by these professionals during their entry to various healthcare roles (Registered Nurses, Registered Practical Nurses, and Personal Support Workers) in Canada. IENs have been providing much needed health human resources to several countries around the world, including Canada. It is vital for health organizations to invest in effective transition support practices for IENs to facilitate delivery of safe and quality healthcare and retention of IENs in their new roles. The IENs in this study were asked through survey methods to: describe transition supports that were available to them, determine the perceived effectiveness of transition supports, and give comments or suggestions to improve existing transition support programs. For the most part, the survey results corroborate what the literature tells us about the challenges linked to cultural barriers, language and communication barriers, and differences in clinical nursing practice. Additionally, existing transition support practices such as comprehensive orientations and mentoring were highly deemed as important components, with calls from IENs to extend the length and scope of these supports for better transition. The IENs have strong recommendations to develop cultural competency trainings and foster a more inclusive workplace environment. There were also differences in the transition processes in different sectors. IENs who work in long-term care homes reported that the transition support they received were effective and satisfactory. Even given the limitations of the study, due to the small sample size, little information and the scarcity of previous studies in the specific location, the results point to the relevance of findings that IENs need effective transition supports to have successful integration in their new environment. More studies are needed, but it is already possible to say through analysis of the results of the research that an orientation with sufficient length and scope, mentoring provided by supportive mentors, cultural competency trainings to all staff, and promoting teamwork and inclusion in the workplace are essential to achieve effective transition of IENs."
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".