Delivering improved patient and system outcomes for hospitalized older adults through an Acute Care for Elders Strategy
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
Acute care hospitals are widely recognized as potentially high-risk environments for older adults. In 2010, Mount Sinai Hospital conceived its Acute Care for Elders (ACE) Strategy as a multi-component intervention to improve the care of hospitalized older adults. In order to determine its effectiveness, we conducted a quasi-experimental time series analysis of 12,008 older patients admitted non-electively for acute medical issues over a 6-year period. Despite a 53% increase in annual admissions of older patients between 2009/2010 and 2014/2015, Mount Sinai decreased total lengths of stay and readmissions and reduced the direct cost of care per patient, leading to net savings of CDN$4.2 million in 2014/2015. This article presents Mount Sinai's ACE Strategy and discusses the benefits of implementing integrated evidence-based models across the continuum of care and how it is supporting the implementation of ACE Strategy models of care and care practices across Canada and beyond.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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 it