The Association Between new Nurses’ Gerontological Education, Personal Attitudes Toward Older Adults, and Intentions to Work in Gerontological Care Settings in Ontario, Canada
Bibliographic record
Abstract
BACKGROUND: The older adult population in Canada is increasing, and many will require care within an acute geriatric unit (AGU) or long-term care facility (LTCF). However, the nursing workforce is not growing at the same pace as the population is aging. New graduate nurses may be able to fill this gap; therefore, it is important to understand their intentions of working in gerontological care settings (i.e., AGU or LTCF). AIM: To examine if nursing education and personal attitudes toward older adults influence newly registered nurses'(RNs) intentions to work in a gerontological care setting. METHOD: Nurses (n= 1,103) who registered with the College of Nurses of Ontario for the first time in 2018 were invited to complete a questionnaire. RESULTS: The majority of participants (n = 181) reported a positive attitude toward older adults. However, only 14% reported an intention to work in a gerontological care setting. Participants who completed multiple geriatric focused clinical placements were more likely to report an intention to work in these settings. CONCLUSION: This study provides some information regarding the attitudes and intentions of newly RNs toward a career in gerontological care settings. Further research is needed to understand nurses' intentions regarding working in AGUs or LTCFs.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".