Dementia and elder abuse: Understanding public health nurses’ experiences
Bibliographic record
Abstract
Elder abuse (EA) within the population of community dwelling older people living with dementia is significantly more prevalent when compared with the population of older adults without cognitive impairment. Public Health Nurses (PHNs) in Ireland are a key professional service provider group in safeguarding vulnerable populations. Interpretative Phenomenological Analysis (IPA) was utilized to explore the experiences of PHNs in identifying and addressing abuse, among community dwelling older adults living with dementia that was perpetrated by informal caregivers. Semi-structured interviews were conducted with PHNs (n = 5) in Ireland that had in the previous 12 months dealt with a case of elder abuse involving an older adult living with dementia. Analysis of the data revealed three super-ordinate themes; identifying hidden abusive relationships; Complexity – ‘where do I start’; and Isolation. This study provides unique insights from PHNs relevant to safeguarding this particularly vulnerable group. Specific implications for practice and recommendations are presented.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".