Evaluation of a community-based memory clinic in collaboration with local hospitals to support patients with memory decline
Bibliographic record
Abstract
Objective: This study evaluates the role of a specialised and multidisciplinary healthcare team, including a pharmacist, in providing medication management for patients with mild cognitive impairment (MCI) and dementia, in a memory clinic. Methods: The study analysed the dataset of 102 patients of a geriatric and memory clinic in a rural area of Ontario, Canada. The case histories of the patients were reviewed a week before the clinic day and a pharmacist performed medication reconciliations. During the clinic day, cognitive tests were conducted and outcomes were discussed with the team, to create a care plan and schedule a follow-up within 3, 6 or 12 months. Results: -value 0.001) were deprescribed, with 510 prescriptions and 202 non-prescription items. Out of the 712 deprescribed drugs, 374 were discontinued with no therapeutic substitutions, 202 were reduced in dosage and 136 were switched to a safer alternative. A total of 43 patients showed improved Activities of Daily Living (ADL) performance after 3 and 6 months and 68 patients showed improvement after 12 months. Conclusion: This study highlights the importance of a multidisciplinary approach in addressing drug-therapy problems, medication optimisation, and deprescription in patients with dementia. The presence of a pharmacist in the multidisciplinary team enables impactful medication optimisation and leads to improved patient outcomes. This demonstrates the value of specialised expertise in medication management for patients with dementia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".