Improving practicing nurses’ knowledge and perceptions of older people: a quasi-experimental study
Bibliographic record
Abstract
OBJECTIVES: This study aimed to determine if an e-learning module about understanding and communicating with older people can improve practicing nurses' ageist perceptions about older people. METHODS: We used a quasi-experimental pre-post-test design. Participants completed a 13-item Ambivalent Ageism Scale before and after completing the Understanding and Communicating with Older People e-learning module as well as a Likert-style feedback survey with the option for written feedback on an open-ended question. RESULTS: Pre-post-test comparisons indicated a statistically significant decrease in ageist attitudes and self-reported increases in knowledge and confidence in working with older people. Qualitative analysis of written feedback revealed that most participants felt the module enhanced their understanding of older people. CONCLUSIONS: The e-learning activity has the potential to improve practicing nurses' knowledge and perceptions about working with older people and is likely to be associated with better patient-level outcomes.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".