Perceptions of and Experiences in a Clinical Externship Program During the COVID-19 Pandemic
Bibliographic record
Abstract
The clinical externship program for nursing students was developed and implemented during the COVID-19 pandemic at a multi-site healthcare organization. The program aimed to address the critical shortage of health human resources by hiring qualifying undergraduate nursing and diploma program practical nursing students as unregulated care providers to meet staffing needs. The program incorporated a structured orientation, providing a mix of e-learning modules, in-person learning and shifts with an assigned preceptor. The program also included guidelines to define roles and responsibilities, ensuring safe integration of externs into the healthcare setting. A qualitative study design was employed using semi-structured interviews to explore the perceptions and experiences of the clinical externs (CEs), the extern mentor coordinators and the unit managers involved in the program. Five major themes emerged from the study, including the importance of orientation and the need for increased role clarity. The findings underscore the value of this opportunity both for nursing students as CEs and the broader healthcare system. This study provides valuable insights for nurse leaders aiming to develop or expand clinical externship programs, highlighting their potential to address health human resource challenges and enhance the preparedness and integration of nursing students into the healthcare workforce.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".