Improving the seniors’ transition from hospital to the community: a case for intensive geriatric service workers
Bibliographic record
Abstract
BACKGROUND: Limited continuity of care, poor communication between healthcare providers, and ineffective self-management are barriers to recovery as seniors transition back to the community following an Emergency Department (ED) visit or hospitalization. The intensive geriatric service worker (IGSW) role is a new service developed in southern Ontario, Canada to address gaps for seniors transitioning home from acute care to prevent rehospitalization and premature institutionalization through the provision of intensive support and follow-up to ensure adherence to care plans, facilitate communication with care providers, and promote self-management. This study describes the IGSW role and provides preliminary evidence of its impact on clients, caregivers and the broader health system. METHODS: This mixed methods evaluation included a chart audit of all clients served, tracking of the achievement of goals for IGSW involvement, and interviews with clients and caregivers and other key informants. RESULTS: During the study period, 632 clients were served. Rates of goal achievement ranged from 25%-87% and in cases where achieved, the extent of IGSW involvement mostly exceeded recommendations. IGSWs were credited with improving adherence with treatment recommendations, increasing awareness and use of community services, and improving self-management, which potentially reduced ED visits and hospitalizations and delayed institutionalization. CONCLUSIONS: The IGSW role has the potential to improve supports for seniors and facilitate more appropriate use of health system resources, and represents a promising mechanism for improving the integration and coordination of care across health sectors.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 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".