Améliorer la qualité de la prise en charge des sujets présentant des symptômes comportementaux et psychologiques de la démence au Québec
Bibliographic record
Abstract
Major neurocognitive disorders (MND) affect more than 100,000 Quebecers and this number is expected to increase by 66% by 2030. The World Health Organization (WHO) considers MND as a public health priority in its "Closing the Gaps in Mental Health" program (WHO, 2011). Behavioral and psychological symptoms related to dementia (BPSD) are highly prevalent and are associated with cognitive and functional deterioration, caregiver burnout, early admission to hospital and additional costs. As part of the ministerial initiative stemming from the Plan Alzheimer du Québec (PAQ) promoted by le ministère de la Santé et des Services sociaux (MSSS) du Québec, innovative clinical practices have been implemented for the optimal management of this clientele, particularly through the creation or enhancement of teams dedicated to BPSD. With a view to continuous quality improvement, the MSSS has mandated a team of clinicians, researchers and deciders to paint a picture of current practices in the context of BPSD and to issue recommendations. This study offers a unique and innovative look at the development of quality care for BPSD in Quebec. Objectives 1. Review organizational and clinical practices, as well as care pathways for BPSD; 2. Propose an interprofessional management process based on best practices; 3. Advise the MSSS on the implementation of measures necessary to ensure access to safe, quality clinical services. Method A review of recent international literature and practice guides was conducted. Semi-structured interviews with professionals from BPSD teams were also conducted in order to paint a picture of the situation in Quebec. An outline of a logic model was proposed based on this information. A group of experts was formed to review clinical and organizational BPSD practices in light of the results. Results The ministerial initiative resulting from the PAQ has had an important structuring effect on the development, consolidation and prioritization of services for people with BPSD. Facilitating elements as well as barriers to the implementation of these services were identified and recommendations were issued to advise the ministry on the actions to be taken. Conclusion The essential conditions and strategies to be adopted to consolidate the trajectory of care for BPSD were transmitted to the MSSS. The main impact is to improve the accessibility and quality of BPSD care for the benefit of users and their families.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".