Multispecialty Interprofessional Team Memory Clinics: Enhancing Collaborative Practice and Health Care Providers’ Experience of Dementia Care
Bibliographic record
Abstract
This study explored whether working within Multispecialty INterprofessional Team (MINT) memory clinics has an impact on health care professionals' perceptions of the challenges, attitudes, and level of collaboration associated with providing dementia care. Surveys were completed by MINT memory clinic members pre- and 6-months post-clinic launch. A total of 228 pre-and-post-training surveys were matched for analysis. After working in the MINT memory clinics for 6 months, there were significant reductions in mean ratings of the level of challenge associated with various aspects of dementia care, and significant increases in the frequency with which respondents experienced enthusiasm, inspiration, and pride in their work in dementia care and in ratings of the extent of collaboration for dementia care. This study provides some insights into the effect of collaborative, interprofessional approaches on health care professionals' perceptions of the challenges and attitudes associated with providing dementia care and level of collaboration with other health professionals.
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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 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".