Description of organizational and clinician characteristics of primary dementia care in Canada: a multi-method study
Bibliographic record
Abstract
BACKGROUND: Organizational and clinician characteristics are important considerations for the implementation of evidence-based recommendations into primary care practice. The introduction of Canadian dementia practice guidelines and Alzheimer strategies offers a unique context to study which of the organizational and clinician characteristics align with good quality care in primary care practices. METHODS: To evaluate the quality of dementia care, we carried out a retrospective chart review in randomly selected patients with a diagnosis of dementia and who had a visit during a 9-month period in 33 primary care practices. We collected data on indicators that were based on existing Canadian evidence-based recommendations to measure a quality of dementia care score. In addition, four questionnaires were administered: two questionnaires to evaluate the organizational characteristics of the practices (dementia-specific and general organization) and two to evaluate the clinician characteristics (one for family physicians and one for nurses). Primary care practices were stratified into tertiles based on their average quality of dementia care score (low, moderate, high). The differences between the groups organizational and clinician questionnaires scores were analyzed descriptively and visually. RESULTS: The mean overall scores for each questionnaire were higher in the high quality of dementia care group. When looking at the breakdown of the overall score into each characteristic, the high-quality group had a higher average score for the dementia-specific organizational characteristics of "access to and coordination with home and community services", "financial support", "training", "coordination and continuity within the practice", and "caregiver support and involvement". The characteristic "Leadership" showed a higher average score for the moderate and high-quality groups than the low-quality group. In both clinician questionnaires, the high group scored better in "attitudes towards the Alzheimer's plan" than the other two groups. CONCLUSIONS: These results suggest that investing in organizational characteristics specifically aimed at dementia care is a promising avenue to improve quality of dementia care in primary care. These results may be useful to enhance the implementation of evidence-based practices and improve the quality of dementia 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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".