Sex differences in the management of persons with dementia following a subnational primary care policy intervention
Bibliographic record
Abstract
BACKGROUND: The influence of sex and gender on the risk of dementia, its clinical presentation and progression is increasingly being recognized. However, current dementia strategies have not explicitly considered sex and gender differences in the management of dementia to ensure equitable care. The objective of this study was to examine the moderating effect of sex on the quality of care following the implementation of the Quebec Alzheimer Plan (QAP). METHODS: We conducted a secondary analysis of the evaluation of the QAP consisting of a retrospective chart review of 945 independent, randomly-selected patient charts of males and females 75+ years old with dementia and a visit to one of 13 participating Family Medicine Groups before (October 2011-July 2013) and after (October 2014 - July 2015). The quality of dementia care score, based on Canadian and international recommendations and consensus guidelines, consisted of documented assessments in 10 domains. We used a mixed linear regression model to measure the interaction between sex and the implementation of the QAP on the quality of dementia care score, adjusting for age and number of medications. RESULTS: We found that improvements in the quality of dementia care following the QAP were larger for men than women (mean difference = 4.97; 95%CI: 0.08, 9.85). We found that men had a larger improvement in four indicators (driving assessments, dementia medication management, Alzheimer Society referrals, and functional status evaluation), while women had a smaller improvement in three (home care needs, behavioural and psychological symptoms of dementia, and weight). Men were prescribed fewer anticholinergics post-QAP, while women were prescribed more. Cognitive testing improved in men but decreased for women following the QAP; the opposite was observed for caregiver needs. CONCLUSION: While the overall quality of care improved after the implementation of the QAP, this study reveals differences in dementia management between men and women. While we identified areas of inequalities in the care received, it is unclear whether this represents inequities in access to care and health outcomes. Future research should focus on better understanding sex and gender-specific needs in dementia to bridge this gap and better inform dementia strategies.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".