2671 A description of a patient navigator program for persons living with dementia in Canada
Bibliographic record
Abstract
Abstract Introduction Receiving a dementia diagnosis can be overwhelming for persons living with dementia (PLWD) and their carers. Accessing information and home supports can be challenging. Having access to a Patient Navigation (PN) program is one way that may assist PLWD and their carers. Methods This study used a mixed methods design and involved the implementation of a Patient Navigation (PN) program in 6 primary care settings in New Brunswick, Canada, between July 2022–July 2023. PLWD/carers living in their own homes were eligible to enrol. Results There were 150 PLWD with a mean age of 76.4 (SD = 9.4) years and 51.4% were male. The majority (60.7%) were living in rural communities. Most (50.7%) had been diagnosed within the past 2 years with 50.7% having seen a specialist, most commonly a geriatrician. Almost all (88.7%) had a primary care provider; however, only 25.2% were connected to the social care system, and 19.8% were connected to the home care system. The most common reasons for enrolling were gaining access to social programs and home supports and seeking dementia specific information. The average number of goals per PLWD/carer was 3.79 (SD = 1.7). The average time in the program was 121.7 days (SD = 100.0) and 76.6% achieved their goals. The majority (84.0%) were somewhat to very satisfied with the PN program. Carers stated that with increased knowledge, access, and support there was a decrease in social isolation as well as improved confidence, which allowed PLWD to remain in the community longer. Conclusions Most PLWD/carers were connected to the health system, but the minority were connected to social and home care programs. Through connection to the PN program, carers increased their confidence; improved their knowledge; and increased their access to home supports and other care programs, allowing PLWD to remain in the community longer.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".