The Experiences, Needs, and Solutions of Caregivers of Patients With Behavioral and Psychological Symptoms of Dementia Living in Residential and Long-Term Care Centers
Bibliographic record
Abstract
Behavioral and psychological symptoms of dementia (BPSD) pose great challenges for the caregivers during the evolution of the disease with impacts on patients, caregivers, and healthcare providers. Caregivers often remain very present and involved once the difficult decision has been made to relocate the person to a residential and long-term care center ( centre d’hébergement de soins de longue durée [CHSLD] in Quebec). The experience of caregivers about BPSD management in CHSLDs remains poorly understood. The aim of this study is to explore the needs and experience of caregivers of patients with BPSD living in CHSLDs, as well as the solutions they suggest to better manage BPSD in CHSLDs. We carried out this qualitative interpretive descriptive study with six focus groups, including 32 caregivers, in Quebec, Canada. Data analysis identified six themes: (1) the transition period between home and the CHSLD; (2) the lack of knowledge about BPSD; (3) the approach to BPSD by healthcare professionals; (4) the lack of communication; (5) defining the caregiver’s role in the healthcare team; and (6) the caregiver’s need for respite. These results offer relevant avenues to improve collaborative practices with caregivers in CHSLDs involved in the care of people with BPSD.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".