Using tele-health and web technologies to provide ACP education for informal caregivers
Bibliographic record
Abstract
Attendees will learn about a pilot project that engaged caregivers using tele-learning and web-technology to provide education on Advance Care Planning (ACP). The advantages of using the Care-Ring Voice Network include the national scope and reach to explicit caregiver communities, and convenience for participants who can access professional and multi-disciplinary experts on ACP from the comfort of their own home. In association with Solutions-East Toronto's Health Collaborative (Solutions), VHA Home HealthCare (VHA) led in the development, implementation and evaluation of a new and innovative tele-learning program for caregivers, in particular those falling in the ‘sandwich generation’ category. As a member of Solutions, a local collaborative involving a full continuum of health care organisations, VHA championed joining Care-Ring Voice and testing their technology to increase knowledge and reduce stress of caregivers. Care-Ring Voice connects caregivers and families to information and support through the use of tele-learning. The network hosts learning sessions by telephone and the web on a range of topics relevant to informal caregivers. Participants benefit by learning from healthcare professionals leading the workshops and by sharing with others in similar situations. Care-Ring Voice is a national network but currently membership is largest in Quebec and British Columbia. The consultative approach used to develop the five-week ‘Ring and Reach’ series curriculum, involving professionals from across the healthcare continuum, will be highlighted as well as the evaluation methods and findings. The presentation will highlight predictors of program success, challenges and barriers to caregiver participation, and strategies for future offerings.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".