Emergency Nurses' Experiences Caring for Patients with Dementia
Bibliographic record
Abstract
There is evidence that older Canadians have a higher incidence of presenting to the emergency department (ED) than any other age group. These visits may be made more complex if individuals are also cognitively impaired or have dementia. The purpose of this study was to explore ED nurses’ experiences of caring for adults with dementia in the ED. Using an interpretive descriptive approach, 12 registered nurses working in different EDs in an urban setting in Western Canada were interviewed about these experiences. Using the thematic analysis process described by Braun and Clarke, four themes were identified: 1) not a priority; 2) not the right place; 3) get them in, get them out; and 4) getting it wrong. The nurses identified that challenges in the care of persons with dementia in the ED are created by the fast-paced and chaotic environment of the ED, staffing, issues with disposition, and safety concerns. Suggestions for improving the care of persons with dementia were provided by the nurses.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".