Ongoing challenges responding to behavioural and psychological symptoms of dementia
Bibliographic record
Abstract
BACKGROUND: Mid- to late-stage dementia is often characterized by behavioural and psychological symptoms, including, but not limited to physical and verbal aggression. INTRODUCTION: Although there is a considerable research about the prevalence, aetiology, and management of behavioural and psychological symptoms of dementia, there is limited research about the experience of caring for people with such symptoms in long-term aged care facilities. AIM: The aims of the study were to describe: (i) nurses' experiences of caring for people with behavioural and psychological symptoms of dementia in long-term aged care facilities, and (ii) strategies nurses used to deal with these symptoms. METHODS: A qualitative exploratory and descriptive design, involving focus group interviews with 30 nurses from three long-term aged care units in Australia. The transcripts were analysed using inductive content analysis. RESULTS: The findings revealed five interrelated themes: (i) working under difficult conditions, (ii) behavioural and psychological symptoms of dementia: an everyday encounter, (iii) making sense of behavioural and psychological symptoms of dementia, (iv) attempting to manage behavioural and psychological symptoms of dementia, and (v) feeling undervalued. CONCLUSION: This study highlighted the difficult conditions under which nurses worked and the complexity of caring for individuals who have behavioural and psychological symptoms of dementia. IMPLICATIONS FOR NURSING AND HEALTH POLICY: Organizational efforts to enhance the quality of care for individuals with behavioural and psychological symptoms of dementia in long-term aged care facilities should extend beyond staff education to heed nurses' concerns about organizational barriers to interpersonal care.
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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 | 0.010 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 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".