2672 Exploring stakeholders’ experiences implementing a navigation program for people living with dementia and their carers
Bibliographic record
Abstract
Abstract Introduction Navigating dementia care is challenging, but patient navigation (PN) offers valuable support for this population. The ‘Navigating Dementia NB/Naviguer la démence NB’ program piloted a PN program in New Brunswick, Canada, targeting people living with dementia (PLWD) and their carers. The program aimed to assist participants in navigating health and social care systems, matching their needs with available services. Methods Navigating Dementia NB was co-developed by researchers, patient partners, and clinicians. This pilot program embedded six PNs in primary care clinics/centres across the province between July 2022 and July 2023. Using a mixed methods approach, participant surveys and interviews were used to explore program benefits and recommendations for improvement. Focus groups were used to explore facilitators and barriers to program development and implementation. Results There were 150 participants (PLWD and carer dyads) enrolled in the PN program who provided informed consent. Interviews were conducted with 36 PLWD and their carers. Focus groups were conducted with nine members of the research team and five patient navigators. Program benefits included: emotional support from navigators, provision of relevant information, and facilitating connections to appropriate services. Recommendations for improvement included: the need for PLWD and their carers to have access earlier in the patient journey and the need to reassess provincial policies related to home care support. Facilitators for implementing a PN program included: providing appropriate staff training and leveraging established connections within the health and social systems. Barriers included a compressed timeline and existing systemic issues to service access. Conclusions The findings suggest that embedding PN for PLWD in community based primary care can be done. The program was beneficial for PWLD and their caregivers/care partners. Future plans involve partnering with government to support the implementation and evaluation of a province-wide scale-up of the PN program for this population.
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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 | 0.002 | 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".