Whole-system approaches to health and social care partnerships for the frail elderly: an exploration of North American models and lessons
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Irrespective of cross-national differences in long-term care, countries confront broadly similar challenges, including fragmented services, disjointed care, less-than-optimal quality, system inefficiencies and difficult-to-control costs. Integrated or whole-system strategies are becoming increasingly important to address these shortcomings through the seamless provision of health and social care. North America is an especially fertile proving ground for structurally oriented whole-system models. This article summarises the structure, features and outcomes of the Program of All-Inclusive Care for Elderly People (PACE) programme in the United States, and the Système de soins Intégrés pour Personnes Agées (SIPA) and the Programme of Research to Integrate Services for the Maintenance of Autonomy (PRISMA) in Canada. The review finds a somewhat positive pattern of results in terms of service access, utilisation, costs, care provision, quality, health status and client/carer satisfaction. It concludes with the identification of common characteristics which are thought to be associated with the successful impact of these partnership initiatives, as well as a call for further research to understand the relationships, if any, between whole-system models, services and outcomes in integrated care for elderly people.
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.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it