‘Throwing a lifeline‘: the Role of First Link™ in Enhancing Support for Individuals With Dementia and Their Caregivers
Bibliographic record
Abstract
SUMMARY Aim: The purpose of this study was to determine the extent to which First Link™, an initiative that aims to link individuals with dementia and their caregivers with support services, was able to connect caregivers of individuals with dementia to the services of the Alzheimer Society earlier in the disease process than individuals who self-refer to the Alzheimer Society, and to identify caregiver-, health professional- and health system-related impacts associated with this initiative. Participants & methods: This study evaluated First Link as implemented in two provinces in Canada and involved a mixed method, prospective cohort design; data sources included the Alzheimer Society referral database, surveys of caregivers (n = 135) and health professionals (n = 82), and interviews with key stakeholders (n = 40) and individuals with dementia and their caregivers (n = 33). Results: First Link was able to connect clients to the Alzheimer Society sooner after diagnosis compared with clients who self-referred. As a result of involvement with First Link, health professionals and caregivers had a greater capacity for managing dementia and awareness of the available community services and resources, all of which were reported to support individuals with dementia to remain at home for as long as possible and reduce failure-to-cope-related use of health system resources. Conclusion: This initiative has been well-received and is a significant approach to increasing caregiver and health professional capacity for dementia care.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".