Healthy at Home: an integrated health and social care initiative for vulnerable and marginalized older adults in Toronto
Bibliographic record
Abstract
Purpose The Healthy at Home (H@H) is an older adult day program that is in Toronto in Ontario, Canada. This is an integrated health and social care (IHSC) program that seeks to address the social isolation and health needs of a highly vulnerable older adult population living in the north Toronto communities. These are Russian-speaking Jewish older adult immigrants. The case provides a detailed description of the factors that enabled a diverse group of health and social care organizations to integrate their respective services to address the health and social care needs of their clients using a culturally appropriate and trauma-informed lens. Design/methodology/approach A case description comprised of key informant interviews, and a focus group was undertaken of representatives from health and social care organizations serving clients in the north Toronto area. Findings This case description identified eleven integration factors that enabled organizations to provide integrated care using a culturally appropriate and trauma-informed lens, and they include developing an aligned vision and goals, communications, an inter-organization culture of inter-dependence, champions, pre-existing relationships, and champions. In addition, operating in the not-for-profit sector, sector differences, enabling public policies and a strong sense of community have influenced integration of services across the organizational partners to serve its high-risk client group. Originality/value This case description lends insights into how IHSC can be leveraged to provide culturally appropriate and trauma-informed care for highly vulnerable client/patient populations. A lesson learnt is that social care partners can engage in successful integration leadership in joint health and social care integration efforts.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".